Will AI replace Estate agents and auctioneers?

Not as a job, but it is already doing parts of the work. Across the 98 official task statements scored for Estate agents and auctioneers (United Kingdom, SOC 3555), 43% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 52 out of 100 (range 46–58, band: partial). That is a statement about tasks, not about headcount: this measures what AI could do, not whether any employer adopts it, whether the law allows it, or whether doing the routine parts faster creates more demand for the human parts. Figures are from release 2026-q4.1.

Which tasks in “Estate agents and auctioneers” can AI already do?

The highest-scoring tasks in release 2026-q4.1 are: “Search public records for transactions such as sales, leases, and assessments” (100/100, very high); “Generate lists of properties compatible with buyers' needs and financial resources” (93/100, very high); “Request listings of available rental properties” (93/100, very high). Each score comes from five published 0–4 ratings turned into a number by a published formula, and each carries the model's one-sentence reason on the page.

Which tasks in “Estate agents and auctioneers” stay human?

About 35% of this job's task weight sits in work that scores low for AI exposure. The lowest-scoring tasks in release 2026-q4.1 are: “Connect and disconnect utility services as required at specific locations” (0/100, minimal); “Photograph interiors and exteriors of properties to assist in estimating property value and substantiate findings” (0/100, minimal); “Show properties to prospective tenants” (0/100, minimal). Low scores usually mean the task needs a body in a room, a legally accountable human, or trust built in real time. Those are the three things the scoring rubric treats as gates rather than obstacles.

What should someone working in “Estate agents and auctioneers” do about AI?

Start from the ledger rather than the headline: 43% of this job's weighted core work is exposed, and roughly 35% is not. The practical move is to spend more of your week on the tasks that score low, the ones above, and to get fluent at directing AI through the tasks that score high, because those are the parts that change whether or not you are ready for them. This page does not predict your job, and nothing here is career advice tailored to you: the score describes the occupation, not the person.

How is the AI exposure score for Estate agents and auctioneers calculated?

Each official task statement for the occupation is rated on five published 0–4 dimensions (output replicability, physical embodiment, licensed accountability, real-time human trust, and data availability) by claude-opus-5 using scoring prompt task_scoring_v1.0. The model never writes the score; a published formula turns the five ratings into a 0–100 number, so every score can be recomputed by hand. The occupation figure is the importance-weighted mean across 98 scored tasks. The prompt, the rubric, the formula and the full dataset are published at https://futureproof.collab365.com/method and https://futureproof.collab365.com/data/2026-q4.1 under CC BY 4.0.

UK dataswitch to US

Estate agents and auctioneers

drafting residential leases to outline tenant agreements, arranging for photographs of the property to be taken and monitoring sales progress to ensure timely completion. If that's your week, this page is about your job.

The honest answer

This job is splitting in two: generating lists of properties compatible with buyers' needs and financial resources is work AI now does quickly and cheaply, and showing properties to prospective tenants is work it can't touch.

Your move: what you can actually do about this ↓

Where the work sits, by task weight

shifting to AI: 43%
changing shape: 23%
staying human: 35%

These bars are tasks changing hands, not people being counted out. The ledger below shows which.

Whole-job exposure score 52 out of 100 (46–58 allowing for uncertainty): partial exposure, across 98 scored tasks. The number is the support for the sentence above it, not a headline about anyone’s future.

How we know this

What is measured: Every published task statement for estate agents and auctioneers is rated on five dimensions: can a model produce the output, does the work need a body in a room, does it need a legally accountable person, does it depend on a person being trusted in the moment, and how much data exists. A published formula turns those five ratings into the score; the model never writes the number.

How the bar is built: Each task’s share of the bar is its published importance weight, so a task you do all day counts for more than one you do twice a year.

Release: 2026-q4.1, scores computed 2026-08-05. Read the full method.

Which half fills your week decides your exposure. Moving toward the second half is a real, doable plan.

Your week, as this page understands it

Estate agents and auctioneers arrange for the valuation, sale, purchase, rental and leasing of property on behalf of clients, as well as the auction of livestock and antiques. The job title says “estate agents” or “auctioneers”: officially one job, two names. The real job is the part underneath: showing properties to prospective tenants. That is the thing someone has to be right about.

The exposed part of this job is specific, and we won’t pretend it is coming back. But estate agents and auctioneers is not one task. It is 98 scored ones, and they are nowhere near equally exposed. The most durable of them, on this evidence, is showing properties to prospective tenants, and the ledger below shows exactly why.

Where the work sits, by task weight

shifting to AI: 43%
changing shape: 23%
staying human: 35%

These bars are tasks changing hands, not people being counted out. The ledger below shows which.

How we know this

How the bar is built: Each task’s share of the bar is its published importance weight, so a task you do all day counts for more than one you do twice a year.

Release: 2026-q4.1, scores computed 2026-08-05. Read the full method.

Your job, task by task

These are the official task statements for this occupation, in plain English, sorted by what the evidence says is happening to each one. The official wording sits under every line so you can check the rewrite against it.

One task scored differently between repeat runs, so its range on this page is wider. We would rather show the wobble than hide it.
23 of this occupation's scored task statements carry a score that was measured under a different occupation's context, because the statement is shared between jobs and has only been scored once so far. Each one names the occupation it was measured under in the free routes below; none is presented as a measurement for this job.
Task clusters are not derived in this release, so the task-cluster field is empty and no Collab365 Space routing is attached to this occupation yet.

Shifting to AI

44 tasks

Tasks today’s tools can already do most of. This is the part we will not soften: where these rows are the bulk of your week, the week changes.

Arranging viewing appointments
This is reading one thing and writing another: appointments in, a record out. That is the shape today's tools are built for.
importance 95 · 3555/01, 3555/03
Source: “Arrange viewing appointments.” (UK task statement)
How this row was scored
Exposure score: 79 out of 100 (75–83 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Booking viewings around diaries is scheduling work software already does end to end.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Arranging for necessary maintenance or notifying owners of maintenance needs
This is reading one thing and writing another: necessary maintenance in, a record out. That is the shape today's tools are built for.
importance 90 · 3555/01, 3555/03
Source: “Arrange for necessary maintenance or notify owners of maintenance needs.” (UK task statement)
How this row was scored
Exposure score: 79 out of 100 (75–83 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Arranging repairs and notifying owners is scheduling and messaging that software handles well.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Advertising properties to increase sales
This is reading one thing and writing another: properties in, a record out. That is the shape today's tools are built for.
importance 90 · 3555/01, 3555/03
Source: “Advertise properties to increase sales.” (UK task statement)
How this row was scored
Exposure score: 75 out of 100 (68–82 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Listing copy and portal adverts are produced well by software, with photography and presentation still needing people.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Analysing, and applying trendsing in the relevant property market to inform business strategies
This is reading one thing and writing another: the relevant property market in, a record out. That is the shape today's tools are built for.
importance 85 · 3555/01, 3555/02
Source: “Analyse and apply trends in the relevant property market to inform business strategies.” (UK task statement)
How this row was scored
Exposure score: 75 out of 100 (68–82 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Spotting market trends and drawing conclusions for the business is analysis software does well.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.

Changing shape

19 tasks

Tasks where the machine takes the producing and a person keeps the checking, the deciding, or the answering-for-it. For most jobs this is the biggest group, and it is where "transformation, not termination" is literally visible.

Estimating the value of a property
The software now makes the first pass at the value of a property, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 90 · 3555/01, 3555/02
Source: “Estimate the value of a property.” (UK task statement)
How this row was scored
Exposure score: 56 out of 100 (49–63 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Sold-price data makes automatic estimates accurate for ordinary homes, and an agent's marketing appraisal needs no formal qualification, unlike a lender's valuation.
The five ratings: output a model can produce 4/4 · needs a body in a room 1/4 · needs an accountable person 1/4 · needs to be trusted in the moment 1/4 · how much data exists 4/4.
Advising clients on market conditions and prices
The software now makes the first pass at clients, but the part that matters is a person saying it and standing behind it. So the job becomes checking and deciding rather than producing.
importance 95 · 3555/01, 3555/03
Source: “Advise clients on market conditions and prices.” (UK task statement)
How this row was scored
Exposure score: 53 out of 100 (46–60 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Market and price advice can be drawn straight from sales data, though clients weigh it against the person telling them.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Advising clients about buying a home
The software now makes the first pass at clients, but the part that matters is a person saying it and standing behind it. So the job becomes checking and deciding rather than producing.
importance 95 · 3555/01, 3555/03
Source: “Advise clients about buying a home, including market trends and legal considerations.” (UK task statement)
How this row was scored
Exposure score: 46 out of 100 (39–53 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; the value is that a specific person does it.
The rating behind it: General guidance on the buying process and market trends is well documented and easy to generate, though buyers value talking it through.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.

Staying human

35 tasks

Tasks that stay with a person, because they happen in the physical world, because the rules need someone accountable, or because the value is that a specific person does them.

Inspecting condition of premises to determine maintenance needs
This work happens in the physical world: condition of premises, in a real place. Software cannot follow it there.
importance 85 · 3555/01, 3555/03
Source: “Inspect condition of premises to determine maintenance needs.” (UK task statement)
How this row was scored
Exposure score: 13 out of 100 (6–20 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Judging what needs fixing means walking through the property and seeing its condition.
The five ratings: output a model can produce 2/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Showing properties to prospective tenants
This work happens in the physical world: properties, in a real place. Software cannot follow it there.
importance 85 · 3555/01, 3555/03
Source: “Show properties to prospective tenants.” (UK task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world; the value is that a specific person does it.
The rating behind it: Showing someone round a property means being there with them.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.
Valuing properties by applying expert knowledge and awareness of the local property market
The rules require a named, qualified person to answer for properties, and that person cannot be a piece of software.
importance 90 · 3555/01, 3555/03
Source: “Value properties by applying expert knowledge and awareness of the local property market.” (UK task statement)
How this row was scored
Exposure score: 36 out of 100 (29–43 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; someone qualified has to answer for it.
The rating behind it: Automated valuations using sold-price data are already accurate for ordinary homes, though someone visits and a qualified valuer signs formal figures.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 2/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.

Show the other 88 tasks

Searching public records
shifting to AI
This is reading one thing and writing another: public records in, a record out. That is the shape today's tools are built for.
importance 80 · 3555/02
Source: “Search public records for transactions such as sales, leases, and assessments.” (UK task statement)
How this row was scored
Exposure score: 100 out of 100 (96–100 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Property records in England and Wales are held digitally and can be searched and summarised automatically, faster than any manual search.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 4/4.
Generating lists of properties compatible with buyers' needs and financial resources
shifting to AI
This is reading one thing and writing another: lists of properties compatible in, a record out. That is the shape today's tools are built for.
importance 90 · 3555/01, 3555/03
Source: “Generate lists of properties compatible with buyers' needs and financial resources.” (UK task statement)
How this row was scored
Exposure score: 93 out of 100 (89–97 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Matching properties to a buyer’s requirements and budget is a database search software runs instantly.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Requesting listings of available rental properties
shifting to AI
This is reading one thing and writing another: listings of available rental properties in, a record out. That is the shape today's tools are built for.
importance 80 · 3555/01, 3555/03
Source: “Request listings of available rental properties.” (UK task statement)
How this row was scored
Exposure score: 93 out of 100 (86–100 allowing for uncertainty): very high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Requesting available rental listings is a routine query against systems that already hold the data.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Obtaining county land values and sales information about nearby properties to aid in establishment of property values
shifting to AI
This is reading one thing and writing another: county land values in, a record out. That is the shape today's tools are built for.
importance 80 · 3555/02
Source: “Obtain county land values and sales information about nearby properties to aid in establishment of property values.” (UK task statement)
How this row was scored
Exposure score: 93 out of 100 (86–100 allowing for uncertainty): very high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Pulling sold prices and land values for nearby properties is a database lookup software completes in seconds.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Preparing and maintaining current data on each assessed plot
shifting to AI
This is reading one thing and writing another: current data in, a record out. That is the shape today's tools are built for.
importance 80 · 3555/02
Source: “Prepare and maintain current data on each assessed plot, including maps, inventories, and property characteristics.” (UK task statement)
How this row was scored
Exposure score: 93 out of 100 (89–97 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Keeping plot records, maps and property details up to date is record-keeping software does reliably.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Identifying the ownership of each piece of taxable property
shifting to AI
This is reading one thing and writing another: the ownership of each piece of taxable property in, a record out. That is the shape today's tools are built for.
importance 70 · 3555/02
Source: “Identify the ownership of each piece of taxable property.” (UK task statement)
How this row was scored
Exposure score: 93 out of 100 (86–100 allowing for uncertainty): very high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Establishing who owns a property is a search of ownership records software runs directly.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Maintaining records of inventory or equipment usage
shifting to AI
This is reading one thing and writing another: records of inventory in, a record out. That is the shape today's tools are built for.
importance 70 · 3555/03
Source: “Maintain records of inventory or equipment usage.” (UK task statement)
How this row was scored
Exposure score: 93 out of 100 (89–97 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Inventory and usage records are structured data that stock systems keep automatically.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Arranging for title searches of properties being sold
shifting to AI
This is reading one thing and writing another: title searches of properties being sold in, a record out. That is the shape today's tools are built for.
importance 85 · 3555/01
Source: “Arrange for title searches of properties being sold.” (UK task statement)
How this row was scored
Exposure score: 88 out of 100 (84–92 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Ordering title and local searches is a standard digital request that conveyancing systems already trigger automatically.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 4/4.
Creating lease agreements for property rentals
shifting to AI
This is reading one thing and writing another: lease agreements in, a record out. That is the shape today's tools are built for.
importance 85 · 3555/01
Source: “Create lease agreements for property rentals.” (UK task statement)
How this row was scored
Exposure score: 88 out of 100 (84–92 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Standard tenancy agreements are produced from templates, which software does reliably before anyone checks them.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 4/4.
Drafting representation contracts for property transactions
shifting to AI
This is reading one thing and writing another: representation contracts in, a record out. That is the shape today's tools are built for.
importance 85 · 3555/01, 3555/03
Source: “Draft representation contracts for property transactions.” (UK task statement)
How this row was scored
Exposure score: 88 out of 100 (84–92 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Agency agreements are standard template documents software drafts to a usable standard.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 4/4.
Preparing closing statements for property transactions
shifting to AI
This is reading one thing and writing another: statements in, a record out. That is the shape today's tools are built for.
importance 85 · 3555/01
Source: “Prepare closing statements for property transactions.” (UK task statement)
How this row was scored
Exposure score: 88 out of 100 (84–92 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Closing statements are standard figures set out in a standard format, which software produces reliably.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 4/4.
Calculating rents, council tax and business rates
shifting to AI
This is reading one thing and writing another: rents, council tax and business rates in, a record out. That is the shape today's tools are built for.
importance 70 · 3555/02
Source: “Calculate rents, council tax and business rates.” (UK task statement)
How this row was scored
Exposure score: 88 out of 100 (84–92 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: These are published rates and straightforward calculations, so software can work them out accurately from the property details.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 4/4.
Drafting residential leases to outline tenant agreements
shifting to AI
This is reading one thing and writing another: residential leases in, a record out. That is the shape today's tools are built for.
importance 95 · 3555/03
Source: “Draft residential leases to outline tenant agreements.” (UK task statement)
How this row was scored
Exposure score: 88 out of 100 (84–92 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Residential leases are standard template documents software drafts to a usable first version.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 4/4.
Managing the payment of insurance premiums
shifting to AI
This is reading one thing and writing another: the payment of insurance premiums in, a record out. That is the shape today's tools are built for.
importance 70 · 3555/03
Source: “Manage the payment of insurance premiums, mortgage, taxes, and operating costs.” (UK task statement)
How this row was scored
Exposure score: 88 out of 100 (81–95 allowing for uncertainty): very high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Scheduling and paying regular property bills is routine finance work that accounting systems already automate from the payment calendar.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 4/4.
Maintaining knowledge of real estate law
shifting to AI
This is reading one thing and writing another: knowledge of real estate law in, a record out. That is the shape today's tools are built for.
importance 90 · 3555/01
Source: “Maintain knowledge of real estate law, local economies, fair housing laws, types of available mortgages, financing options, and government programs.” (UK task statement)
How this row was scored
Exposure score: 83 out of 100 (76–90 allowing for uncertainty): very high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Keeping up with property law, mortgages and local markets is reading and summarising published material.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 4/4.
Reviewing property listings, trade journals and relevant literature to stay informed about property markets
shifting to AI
This is reading one thing and writing another: property listings, trade journals and relevant literature in, a record out. That is the shape today's tools are built for.
importance 85 · 3555/01, 3555/03
Source: “Review property listings, trade journals, and relevant literature to stay informed about property markets.” (UK task statement)
How this row was scored
Exposure score: 83 out of 100 (76–90 allowing for uncertainty): very high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Reading listings and trade press to stay current is summarising published material, which software does quickly.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 4/4.
Analysing trends in sales prices and construction costs to assess property values
shifting to AI
This is reading one thing and writing another: trends in, a record out. That is the shape today's tools are built for.
importance 90 · 3555/02
Source: “Analyse trends in sales prices and construction costs to assess property values.” (UK task statement)
How this row was scored
Exposure score: 83 out of 100 (76–90 allowing for uncertainty): very high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Analysing price and build-cost trends is number work software does quickly from published data.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 4/4.
Having knowledge of historical context and current trends in housing and property markets
shifting to AI
This is reading one thing and writing another: knowledge of historical context in, a record out. That is the shape today's tools are built for.
importance 85 · 3555/02
Source: “Have knowledge of historical context and current trends in housing and property markets.” (UK task statement)
How this row was scored
Exposure score: 83 out of 100 (79–87 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Housing market history and trends are widely published, so this knowledge is readily available to software.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 4/4.
Examining the type and location of nearby services to evaluate their impact on property values
shifting to AI
This is reading one thing and writing another: the type in, a record out. That is the shape today's tools are built for.
importance 80 · 3555/02
Source: “Examine the type and location of nearby services to evaluate their impact on property values.” (UK task statement)
How this row was scored
Exposure score: 83 out of 100 (76–90 allowing for uncertainty): very high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Assessing nearby schools, transport and shops is mapping and data work software does thoroughly.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 4/4.
Reviewing loan agreements to ensure that they are complete and accurate according to policy
shifting to AI
This is reading one thing and writing another: loan agreements in, a record out. That is the shape today's tools are built for.
importance 80 · 3555/01
Source: “Review loan agreements to ensure that they are complete and accurate according to policy.” (UK task statement)
How this row was scored
Exposure score: 81 out of 100 (77–85 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Checking a loan document is complete and consistent with policy is exactly the kind of careful reading software now does well.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Comparing legal descriptions of properties to local authority records to verify them
shifting to AI
This is reading one thing and writing another: legal descriptions of properties in, a record out. That is the shape today's tools are built for.
importance 80 · 3555/02
Source: “Compare legal descriptions of properties to local authority records to verify them.” (UK task statement)
How this row was scored
Exposure score: 81 out of 100 (77–85 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Matching property descriptions against council and registry records is a comparison job that software does quickly and consistently.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Examining income records and operating costs to assess the financial performance of income properties
shifting to AI
This is reading one thing and writing another: income records in, a record out. That is the shape today's tools are built for.
importance 80 · 3555/02
Source: “Examine income records and operating costs to assess the financial performance of income properties.” (UK task statement)
How this row was scored
Exposure score: 81 out of 100 (74–88 allowing for uncertainty): very high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Working through income and cost records to judge a property’s performance is spreadsheet analysis software does very well.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Reviewing property transfer information for accuracy and making necessary corrections
shifting to AI
This is reading one thing and writing another: property transfer information in, a record out. That is the shape today's tools are built for.
importance 75 · 3555/02
Source: “Review property transfer information for accuracy and make necessary corrections.” (UK task statement)
How this row was scored
Exposure score: 81 out of 100 (74–88 allowing for uncertainty): very high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Checking transfer records for errors and correcting them is exactly the checking work software does accurately.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Preparing detailed budgets for properties
shifting to AI
This is reading one thing and writing another: detailed budgets in, a record out. That is the shape today's tools are built for.
importance 75 · 3555/03
Source: “Prepare detailed budgets for properties.” (UK task statement)
How this row was scored
Exposure score: 81 out of 100 (77–85 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Property budgets build on known costs and past figures, which spreadsheets and AI put together reliably for a manager to check.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Arranging for photographs of the property to be taken
shifting to AI
This is reading one thing and writing another: photographs of the property in, a record out. That is the shape today's tools are built for.
importance 85 · 3555/01
Source: “Arrange for photographs of the property to be taken.” (UK task statement)
How this row was scored
Exposure score: 79 out of 100 (75–83 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Booking a photographer and arranging access is straightforward scheduling and correspondence.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Monitoring sales progress to ensure timely completion
shifting to AI
This is reading one thing and writing another: sales progress in, a record out. That is the shape today's tools are built for.
importance 85 · 3555/01
Source: “Monitor sales progress to ensure timely completion.” (UK task statement)
How this row was scored
Exposure score: 79 out of 100 (75–83 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Tracking where each sale has got to is pipeline record-keeping software does better than people.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Drafting purchase agreements for property transactions
shifting to AI
This is reading one thing and writing another: purchase agreements in, a record out. That is the shape today's tools are built for.
importance 85 · 3555/01
Source: “Draft purchase agreements for property transactions.” (UK task statement)
How this row was scored
Exposure score: 75 out of 100 (68–82 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; someone qualified has to answer for it.
The rating behind it: A sale contract drafts easily from a template, but in practice a conveyancer must be in the loop.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 2/4 · needs to be trusted in the moment 0/4 · how much data exists 4/4.
Producing basic diagrammatic drawings as part of in-depth reports
shifting to AI
This is reading one thing and writing another: basic diagrammatic drawings in, a record out. That is the shape today's tools are built for.
importance 70 · 3555/02
Source: “Produce basic diagrammatic drawings as part of in-depth reports.” (UK task statement)
How this row was scored
Exposure score: 75 out of 100 (71–79 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Producing straightforward diagrams for a report is drawing work software handles well.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Maintaining maintenance and repairing records to ensure property upkeep and tenant satisfaction
shifting to AI
This is reading one thing and writing another: maintenance in, a record out. That is the shape today's tools are built for.
importance 95 · 3555/03
Source: “Maintain maintenance and repair records to ensure property upkeep and tenant satisfaction.” (UK task statement)
How this row was scored
Exposure score: 75 out of 100 (71–79 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Repair records are held in property systems and can be kept up to date automatically.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Maintaining records of vacancies
shifting to AI
This is reading one thing and writing another: records of vacancies in, a record out. That is the shape today's tools are built for.
importance 85 · 3555/03
Source: “Maintain records of vacancies.” (UK task statement)
How this row was scored
Exposure score: 75 out of 100 (71–79 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: A vacancy list is a database that updates itself once the process is set up.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Requesting quotes from contractors
shifting to AI
This is reading one thing and writing another: quotes in, a record out. That is the shape today's tools are built for.
importance 85 · 3555/03
Source: “Request quotes from contractors for repairs, renovations, and maintenance.” (UK task statement)
How this row was scored
Exposure score: 75 out of 100 (71–79 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Asking contractors for quotes is routine correspondence software can write and track.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Maintaining records of special property permits
shifting to AI
This is reading one thing and writing another: records of special property permits in, a record out. That is the shape today's tools are built for.
importance 60 · 3555/03
Source: “Maintain records of special property permits issued.” (UK task statement)
How this row was scored
Exposure score: 75 out of 100 (71–79 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Permit records are held digitally and can be kept up to date automatically.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Administering collections to ensure timely rent payments
shifting to AI
This is reading one thing and writing another: collections in, a record out. That is the shape today's tools are built for.
importance 90 · 3555/03
Source: “Administer collections to ensure timely rent payments.” (UK task statement)
How this row was scored
Exposure score: 74 out of 100 (70–78 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Rent collection, reminders and arrears chasing run largely automatically through payment systems, with staff stepping in only for difficult cases.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 1/4 · how much data exists 4/4.
Calculating final property values considering depreciation
shifting to AI
This is reading one thing and writing another: final property values considering depreciation in, a record out. That is the shape today's tools are built for.
importance 90 · 3555/02
Source: “Calculate final property values considering depreciation, replacement costs, and income potential.” (UK task statement)
How this row was scored
Exposure score: 69 out of 100 (62–76 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; someone qualified has to answer for it.
The rating behind it: These valuation methods are arithmetic on documented figures that software computes reliably, though a qualified valuer signs off formal figures.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 2/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Checking building regulations and planning permissions to determine any effects on the properties
shifting to AI
This is reading one thing and writing another: regulations in, a record out. That is the shape today's tools are built for.
importance 85 · 3555/02
Source: “Check building regulations and planning permissions to determine any effects on the properties being appraised.” (UK task statement)
How this row was scored
Exposure score: 66 out of 100 (59–73 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Planning and building-control records are public and searchable, so checking them is fast desk work.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Collecting detailed information about property listings
shifting to AI
This is reading one thing and writing another: detailed information in, a record out. That is the shape today's tools are built for.
importance 90 · 3555/01
Source: “Collect detailed information about property listings.” (UK task statement)
How this row was scored
Exposure score: 64 out of 100 (57–71 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Gathering listing details is form-filling from documents and records, though someone visits the property.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Monitoring the performance of contracts
shifting to AI
This is reading one thing and writing another: the performance of contracts in, a record out. That is the shape today's tools are built for.
importance 80 · 3555/01
Source: “Monitor the performance of contracts, including resource requirements, and address variations promptly.” (UK task statement)
How this row was scored
Exposure score: 64 out of 100 (57–71 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Tracking contract performance and flagging variations is monitoring work software does well.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Explaining real and personal property taxes to property owners
shifting to AI
This is reading one thing and writing another: real in, a record out. That is the shape today's tools are built for.
importance 70 · 3555/02
Source: “Explain real and personal property taxes to property owners.” (UK task statement)
How this row was scored
Exposure score: 64 out of 100 (57–71 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Explaining how property taxes work is well-documented information software presents clearly.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Comparing a property with similar properties that have recently sold to determine its competitive market price
shifting to AI
This is reading one thing and writing another: a property in, a record out. That is the shape today's tools are built for.
importance 90 · 3555/01, 3555/03
Source: “Compare a property with similar properties that have recently sold to determine its competitive market price.” (UK task statement)
How this row was scored
Exposure score: 62 out of 100 (55–69 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Comparing recent sales to price a home is data analysis software does well, though the property condition still needs seeing.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 4/4.
Clarifying tenancy agreement terms, fees, policies and procedures to clients
shifting to AI
This is reading one thing and writing another: tenancy agreement terms, fees, policies and procedures in, a record out. That is the shape today's tools are built for.
importance 95 · 3555/03
Source: “Clarify tenancy agreement terms including fees, policies, and procedures to clients.” (UK task statement)
How this row was scored
Exposure score: 61 out of 100 (54–68 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Tenancy terms are standard and well documented, so plain-English explanations can be produced automatically, though tenants often want to ask questions.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 2/4 · how much data exists 4/4.
Ensuring property transactions comply with legal requirements
changing shape
The software now makes the first pass at property transactions, but someone has to be answerable for the result, and it cannot be the software. So the job becomes checking and deciding rather than producing.
importance 90 · 3555/01, 3555/03
Source: “Ensure property transactions comply with legal requirements.” (UK task statement)
How this row was scored
Exposure score: 56 out of 100 (49–63 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; someone qualified has to answer for it.
The rating behind it: Compliance checks against clear rules are well suited to software, though the agency is legally answerable for money-laundering and disclosure duties.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 2/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Ensuring that terms and conditions of purchase agreements are met before completion dates by conferring with conveyancing firms
changing shape
The software now makes the first pass at terms, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 85 · 3555/01
Source: “Ensure that terms and conditions of purchase agreements are met before completion dates by conferring with conveyancing firms, lenders, home inspectors, and pest control operators.” (UK task statement)
How this row was scored
Exposure score: 56 out of 100 (49–63 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Chasing conditions with solicitors, lenders and surveyors is tracking and correspondence software manages well.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Compiling reports for valuations to assess property value
changing shape
The software now makes the first pass at reports, but someone has to be answerable for the result, and it cannot be the software. So the job becomes checking and deciding rather than producing.
importance 85 · 3555/02
Source: “Compile reports for valuations to assess property value.” (UK task statement)
How this row was scored
Exposure score: 56 out of 100 (49–63 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; someone qualified has to answer for it.
The rating behind it: Valuation reports follow a set format software drafts well, but a qualified valuer must stand behind the figure.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 2/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Estimating repair costs for building structures
changing shape
The software now makes the first pass at repair costs, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 75 · 3555/02
Source: “Estimate repair costs for building structures.” (UK task statement)
How this row was scored
Exposure score: 56 out of 100 (49–63 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Repair costs are worked out from measurements and price data, which software does well once someone has seen the damage.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Answering clients' questions regarding bids
changing shape
The software now makes the first pass at clients' questions regarding bids, but the part that matters is a person saying it and standing behind it. So the job becomes checking and deciding rather than producing.
importance 90 · 3555/01
Source: “Answer clients' questions regarding bids.” (UK task statement)
How this row was scored
Exposure score: 53 out of 100 (46–60 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Common questions about bids can be answered automatically, but buyers usually want to talk to someone.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Liaising with estate agents, valuers and mortgage lenders during property transactions
changing shape
The software now makes the first pass at estate agents, but the part that matters is a person saying it and standing behind it. So the job becomes checking and deciding rather than producing.
importance 85 · 3555/01
Source: “Liaise with estate agents, valuers, and mortgage lenders during property transactions.” (UK task statement)
How this row was scored
Exposure score: 53 out of 100 (46–60 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Chasing updates between agents, lenders and valuers is mostly routine messaging that software can handle and track automatically.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Contacting previous clients for prospecting of referral business
changing shape
The software now makes the first pass at previous clients, but the part that matters is a person saying it and standing behind it. So the job becomes checking and deciding rather than producing.
importance 70 · 3555/01, 3555/03
Source: “Contact previous clients for prospecting of referral business.” (UK task statement)
How this row was scored
Exposure score: 53 out of 100 (46–60 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Reaching out to past clients can be drafted and scheduled by software, though referrals rest on the personal relationship.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Assessing land and neighbourhoods for property valuation
changing shape
The software now makes the first pass at land, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 85 · 3555/02
Source: “Assess land and neighbourhoods for property valuation, considering location trends and future changes.” (UK task statement)
How this row was scored
Exposure score: 49 out of 100 (42–56 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Planning, transport and price data is public and easy to analyse, though local knowledge of how an area is changing still helps.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Investigating clients' financial and crediting status to determine eligibility for finance
changing shape
The software now makes the first pass at clients' financial and crediting status, but someone has to be answerable for the result, and it cannot be the software. So the job becomes checking and deciding rather than producing.
importance 85 · 3555/01, 3555/03
Source: “Investigate clients' financial and credit status to determine eligibility for finance.” (UK task statement)
How this row was scored
Exposure score: 48 out of 100 (41–55 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; someone qualified has to answer for it.
The rating behind it: Credit and funds checks are largely automated data lookups, though money-laundering rules make the agent personally responsible for the checks being done.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 2/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Investigating the availability and suitability of options for new premises
changing shape
The software now makes the first pass at the availability, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 80 · 3555/01, 3555/03
Source: “Investigate the availability and suitability of options for new premises.” (UK task statement)
How this row was scored
Exposure score: 48 out of 100 (41–55 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Searching and comparing premises is desk research software does well, though viewings still happen in person.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Determining and certifying the eligibility of prospective tenants
changing shape
The software now makes the first pass at the eligibility of prospective tenants, but someone has to be answerable for the result, and it cannot be the software. So the job becomes checking and deciding rather than producing.
importance 90 · 3555/03
Source: “Determine and certify the eligibility of prospective tenants, following government regulations.” (UK task statement)
How this row was scored
Exposure score: 48 out of 100 (41–55 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; someone qualified has to answer for it.
The rating behind it: Right-to-rent and referencing checks are already done through certified digital services, though the agency remains legally liable for getting them right.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 2/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Scheduling and overseeing regular cleaning of the premises
changing shape
The software now makes the first pass at regular cleaning of the premises, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 85 · 3555/03
Source: “Schedule and oversee regular cleaning of the premises.” (UK task statement)
How this row was scored
Exposure score: 48 out of 100 (41–55 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Booking cleaners and checking the schedule is coordination software handles, with someone confirming the result.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Facilitating the exchange of contracts to complete property sales
changing shape
The software now makes the first pass at the exchange of contracts, but the part that matters is a person saying it and standing behind it. So the job becomes checking and deciding rather than producing.
importance 85 · 3555/01
Source: “Facilitate the exchange of contracts to complete property sales.” (UK task statement)
How this row was scored
Exposure score: 46 out of 100 (39–53 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; the value is that a specific person does it.
The rating behind it: The agent's job here is chasing the chain and keeping everyone moving, which is largely automatable; solicitors do the legal exchange itself.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Working closely with third-party stakeholders and other professionals to understand their requirements and providing excellent customer service
changing shape
The software now makes the first pass at third-party stakeholders, but the part that matters is a person saying it and standing behind it. So the job becomes checking and deciding rather than producing.
importance 80 · 3555/01, 3555/03
Source: “Work closely with third-party stakeholders and other professionals to understand their requirements and provide excellent customer service, for example: property managing agents, probate solicitors, mortgage brokers, Land Registry, Court of Protection.” (UK task statement)
How this row was scored
Exposure score: 46 out of 100 (39–53 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Much of this is structured correspondence and chasing that software handles, though relationships with solicitors and brokers still help deals through.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Setting up systems for fair property valuation across all classes and types
changing shape
The software now makes the first pass at systems, but someone has to be answerable for the result, and it cannot be the software. So the job becomes checking and deciding rather than producing.
importance 75 · 3555/02
Source: “Set up systems for fair property valuation across all classes and types.” (UK task statement)
How this row was scored
Exposure score: 43 out of 100 (36–50 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; someone qualified has to answer for it.
The rating behind it: Designing a fair valuation system needs professional judgement and accountability, though drafts and models help.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 2/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Interviewing clients to determine what kinds of properties they are seeking
changing shape
The software now makes the first pass at clients, but the part that matters is a person saying it and standing behind it. So the job becomes checking and deciding rather than producing.
importance 90 · 3555/01, 3555/03
Source: “Interview clients to determine what kinds of properties they are seeking.” (UK task statement)
How this row was scored
Exposure score: 40 out of 100 (36–44 allowing for uncertainty): partial exposure, high confidence.
Why it sits in this group: the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Finding out what a buyer really wants happens in conversation with them.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Valuing properties to determine loan values
staying human
The rules require a named, qualified person to answer for properties, and that person cannot be a piece of software.
importance 85 · 3555/01
Source: “Value properties to determine loan values.” (UK task statement)
How this row was scored
Exposure score: 35 out of 100 (28–42 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; someone qualified has to answer for it.
The rating behind it: Figures can be calculated from data, but a lender’s valuation must be signed by a registered valuer.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 3/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Valuing property, assessing income potential
staying human
The rules require a named, qualified person to answer for property, assessing income potential, and that person cannot be a piece of software.
importance 85 · 3555/01
Source: “Value property, assessing income potential when relevant.” (UK task statement)
How this row was scored
Exposure score: 35 out of 100 (28–42 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; someone qualified has to answer for it.
The rating behind it: Income and value calculations are data work, yet a formal valuation must come from a registered valuer.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 3/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Evaluating the performance of support staff
staying human
The value here is that a specific person handles the performance of support staff and stands behind it. That is earned, not computed.
importance 60 · 3555/03
Source: “Evaluate the performance of support staff.” (UK task statement)
How this row was scored
Exposure score: 35 out of 100 (28–42 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Performance data can be summarised automatically, but judging and discussing someone's work is a human conversation.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.
Presenting and explaining various mortgage options to clients based on their financial situation
staying human
The rules require a named, qualified person to answer for various mortgage options, and that person cannot be a piece of software.
importance 85 · 3555/01
Source: “Present and explain various mortgage options to clients based on their financial situation.” (UK task statement)
How this row was scored
Exposure score: 33 out of 100 (29–37 allowing for uncertainty): low exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; someone qualified has to answer for it; the value is that a specific person does it.
The rating behind it: Comparing mortgage products is easy to automate, but recommending one to a particular buyer is regulated advice only an authorised adviser may give.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 3/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Coordinating property completions, overseeing signing of documents and disbursement of funds
staying human
The ratings behind this row put property completions well outside what today's tools can do on their own.
importance 85 · 3555/01, 3555/03
Source: “Coordinate property completions, overseeing signing of documents and disbursement of funds.” (UK task statement)
How this row was scored
Exposure score: 32 out of 100 (25–39 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Completion day is chasing and coordination software helps with, but money and signatures involve other regulated parties.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 1/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Operating estate agency offices, handling business details
staying human
The ratings behind this row put estate agency offices, handling business details well outside what today's tools can do on their own.
importance 75 · 3555/01
Source: “Operate estate agency offices, handling business details.” (UK task statement)
How this row was scored
Exposure score: 32 out of 100 (25–39 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Running an office covers admin software handles and decisions about people and premises that it does not.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 1/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Advising on property valuation and land purchase
staying human
The rules require a named, qualified person to answer for property valuation, and that person cannot be a piece of software.
importance 90 · 3555/01, 3555/03
Source: “Advise on property valuation and land purchase.” (UK task statement)
How this row was scored
Exposure score: 30 out of 100 (23–37 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; someone qualified has to answer for it; the value is that a specific person does it.
The rating behind it: Automated valuation models are good, but formal advice on what a property is worth usually needs a qualified valuer who can be held to it.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 2/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Reviewing architectural drawings with clients for property transactions
staying human
The value here is that a specific person handles architectural drawings and stands behind it. That is earned, not computed.
importance 75 · 3555/01
Source: “Review architectural drawings with clients for property transactions.” (UK task statement)
How this row was scored
Exposure score: 30 out of 100 (23–37 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Drawings can be explained clearly, but going through them with a client is a conversation about their plans.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Answering clients' questions regarding building work
staying human
The value here is that a specific person handles clients' questions regarding building work and stands behind it. That is earned, not computed.
importance 85 · 3555/01, 3555/03
Source: “Answer clients' questions regarding building work.” (UK task statement)
How this row was scored
Exposure score: 26 out of 100 (19–33 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: General building questions answer easily, but useful answers depend on the specific property and on reassuring the client.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.
Managing maintenance and administration of commercial
staying human
This work happens in the physical world: maintenance, in a real place. Software cannot follow it there.
importance 90 · 3555/03
Source: “Manage maintenance and administration of commercial, industrial, or residential properties.” (UK task statement)
How this row was scored
Exposure score: 24 out of 100 (17–31 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Administration can be automated, but looking after buildings means someone attending them.
The five ratings: output a model can produce 2/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Investigating employee complaints according to management rules
staying human
The value here is that a specific person handles employee complaints and stands behind it. That is earned, not computed.
importance 60 · 3555/03
Source: “Investigate employee complaints according to management rules.” (UK task statement)
How this row was scored
Exposure score: 23 out of 100 (16–30 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Procedure and paperwork can be drafted automatically, but interviewing staff about a complaint and judging who to believe needs a person.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 1/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.
Securing construction or purchasing financing with own firm or mortgage company
staying human
The rules require a named, qualified person to answer for construction, and that person cannot be a piece of software.
importance 80 · 3555/01
Source: “Secure construction or purchase financing with own firm or mortgage company.” (UK task statement)
How this row was scored
Exposure score: 22 out of 100 (12–32 allowing for uncertainty): low exposure, medium confidence, and it moved between repeat runs, so the range is widened.
Why it sits in this group: someone qualified has to answer for it; the value is that a specific person does it.
The rating behind it: Arranging mortgage finance is regulated advice in the UK and must come from an authorised person.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 3/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.
Negotiating the sale, lease or development of property
staying human
The value here is that a specific person handles the sale, lease or development of property and stands behind it. That is earned, not computed.
importance 85 · 3555/01, 3555/03
Source: “Negotiate the sale, lease, or development of property.” (UK task statement)
How this row was scored
Exposure score: 21 out of 100 (17–25 allowing for uncertainty): low exposure, high confidence.
Why it sits in this group: the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Offers and counter-offers can be tracked automatically, but moving a nervous buyer and seller to a deal depends on trust in the agent.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 1/4 · needs to be trusted in the moment 3/4 · how much data exists 3/4.
Securing agreements from property owners to list properties for sale with estate agencies
staying human
The value here is that a specific person handles agreements and stands behind it. That is earned, not computed.
importance 85 · 3555/01
Source: “Secure agreements from property owners to list properties for sale with estate agencies.” (UK task statement)
How this row was scored
Exposure score: 21 out of 100 (17–25 allowing for uncertainty): low exposure, high confidence.
Why it sits in this group: the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Marketing material can be generated easily, but sellers choose an agent they meet and trust with the biggest sale of their life.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 1/4 · needs to be trusted in the moment 3/4 · how much data exists 3/4.
Selling and buying properties and sites on behalf of clients
staying human
The value here is that a specific person handles properties and stands behind it. That is earned, not computed.
importance 85 · 3555/01
Source: “Sell and buy properties and sites on behalf of clients.” (UK task statement)
How this row was scored
Exposure score: 21 out of 100 (17–25 allowing for uncertainty): low exposure, high confidence.
Why it sits in this group: the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Listings and paperwork can be automated, but acting for someone through a house sale relies on trust and viewings in person.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 1/4 · needs to be trusted in the moment 3/4 · how much data exists 3/4.
Selling property owned by others for a fee
staying human
The value here is that a specific person handles property and stands behind it. That is earned, not computed.
importance 85 · 3555/01
Source: “Sell property owned by others for a fee.” (UK task statement)
How this row was scored
Exposure score: 21 out of 100 (14–28 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Selling someone’s home is a long relationship of trust as much as the paperwork behind it.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 1/4 · needs to be trusted in the moment 3/4 · how much data exists 3/4.
Conducting seminars for sales agents to improve sales techniques
staying human
This work happens in the physical world: seminars, in a real place. Software cannot follow it there.
importance 70 · 3555/01
Source: “Conduct seminars for sales agents to improve sales techniques.” (UK task statement)
How this row was scored
Exposure score: 20 out of 100 (13–27 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world; the value is that a specific person does it.
The rating behind it: Sales training needs someone in front of the room, although the material is easy to prepare.
The five ratings: output a model can produce 2/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Negotiating between buyers and sellers
staying human
The value here is that a specific person handles buyers and stands behind it. That is earned, not computed.
importance 90 · 3555/01
Source: “Negotiate between buyers and sellers.” (UK task statement)
How this row was scored
Exposure score: 18 out of 100 (14–22 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Negotiating between buyer and seller turns on trust and reading both sides in the moment.
The five ratings: output a model can produce 1/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 3/4 · how much data exists 2/4.
Presenting purchase offers to sellers for consideration
staying human
The value here is that a specific person handles purchase offers and stands behind it. That is earned, not computed.
importance 85 · 3555/01
Source: “Present purchase offers to sellers for consideration.” (UK task statement)
How this row was scored
Exposure score: 18 out of 100 (14–22 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Putting an offer to a seller is a live conversation where their reaction shapes what happens next.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 1/4 · needs to be trusted in the moment 3/4 · how much data exists 2/4.
Consulting on mortgage arrears and repossession prevention
staying human
The rules require a named, qualified person to answer for mortgage arrears, and that person cannot be a piece of software.
importance 75 · 3555/01
Source: “Consult on mortgage arrears and repossession prevention.” (UK task statement)
How this row was scored
Exposure score: 17 out of 100 (13–21 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: someone qualified has to answer for it; the value is that a specific person does it.
The rating behind it: Helping someone in arrears is regulated debt advice needing an authorised firm, and the conversation matters most when someone risks losing their home.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 3/4 · needs to be trusted in the moment 3/4 · how much data exists 2/4.
Directing activities of professional and technical staff members and volunteers
staying human
The value here is that a specific person handles activities of professional and stands behind it. That is earned, not computed.
importance 60 · 3555/03
Source: “Direct activities of professional and technical staff members and volunteers.” (UK task statement)
How this row was scored
Exposure score: 13 out of 100 (9–17 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Directing staff and volunteers day to day needs someone they answer to and will follow.
The five ratings: output a model can produce 1/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 3/4 · how much data exists 2/4.
Developing networks of solicitors, mortgage lenders and contractors for client referrals
staying human
The value here is that a specific person handles networks of solicitors, mortgage lenders and contractors and stands behind it. That is earned, not computed.
importance 80 · 3555/01, 3555/03
Source: “Develop networks of solicitors, mortgage lenders, and contractors for client referrals.” (UK task statement)
How this row was scored
Exposure score: 12 out of 100 (8–16 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Referral networks are built on personal relationships and reciprocal favours over years, which no software can create on someone's behalf.
The five ratings: output a model can produce 1/4 · needs a body in a room 1/4 · needs an accountable person 1/4 · needs to be trusted in the moment 3/4 · how much data exists 2/4.
Interviewing witnesses, property owners and building occupants to gather information
staying human
This work happens in the physical world: witnesses, property owners and building occupants, in a real place. Software cannot follow it there.
importance 75 · 3555/02
Source: “Interview witnesses, property owners, and building occupants to gather information.” (UK task statement)
How this row was scored
Exposure score: 11 out of 100 (4–18 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: work that happens in the physical world; the value is that a specific person does it.
The rating behind it: Getting information out of owners, occupiers and witnesses depends on meeting them and earning some trust.
The five ratings: output a model can produce 1/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.
Carrying out detailed inspections of properties to determine market value
staying human
This work happens in the physical world: detailed inspections of properties, in a real place. Software cannot follow it there.
importance 90 · 3555/02
Source: “Carry out detailed inspections of properties to determine market value.” (UK task statement)
How this row was scored
Exposure score: 9 out of 100 (2–16 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: work that happens in the physical world; someone qualified has to answer for it.
The rating behind it: A detailed valuation inspection means walking the property and seeing its condition first hand.
The five ratings: output a model can produce 2/4 · needs a body in a room 3/4 · needs an accountable person 2/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Inspecting new construction and major improvements to existing structures to determine values
staying human
This work happens in the physical world: new construction, in a real place. Software cannot follow it there.
importance 85 · 3555/02
Source: “Inspect new construction and major improvements to existing structures to determine values.” (UK task statement)
How this row was scored
Exposure score: 9 out of 100 (2–16 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: work that happens in the physical world; someone qualified has to answer for it.
The rating behind it: Valuing new building work means inspecting what has actually been built.
The five ratings: output a model can produce 2/4 · needs a body in a room 3/4 · needs an accountable person 2/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Determining property taxability using field inspection and structural measurement
staying human
This work happens in the physical world: property taxability, in a real place. Software cannot follow it there.
importance 70 · 3555/02
Source: “Determine property taxability using field inspection and structural measurement.” (UK task statement)
How this row was scored
Exposure score: 9 out of 100 (2–16 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: work that happens in the physical world; someone qualified has to answer for it.
The rating behind it: Deciding what is taxable using field inspection and measurement means being at the property with a tape.
The five ratings: output a model can produce 2/4 · needs a body in a room 3/4 · needs an accountable person 2/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Routinelying inspect grounds, facilities and equipment to determine the necessity of repairs or maintenance
staying human
This work happens in the physical world: inspect grounds, facilities and equipment, in a real place. Software cannot follow it there.
importance 90 · 3555/03
Source: “Routinely inspect grounds, facilities, and equipment to determine the necessity of repairs or maintenance.” (UK task statement)
How this row was scored
Exposure score: 8 out of 100 (4–12 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Walking the grounds to spot what needs fixing means eyes on the buildings themselves.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Visiting and talking to sellers about their property and its special features
staying human
This work happens in the physical world: sellers, in a real place. Software cannot follow it there.
importance 85 · 3555/01
Source: “Visit and talk to sellers about their property and its special features.” (UK task statement)
How this row was scored
Exposure score: 6 out of 100 (0–13 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: work that happens in the physical world; the value is that a specific person does it.
The rating behind it: Visiting a seller and hearing what makes their home special happens in person, at the property.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.
Giving evidence in court as to the value of a piece of real estate property
staying human
This work happens in the physical world: evidence, in a real place. Software cannot follow it there.
importance 75 · 3555/02
Source: “Give evidence in court as to the value of a piece of real estate property.” (UK task statement)
How this row was scored
Exposure score: 3 out of 100 (0–7 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world; someone qualified has to answer for it; the value is that a specific person does it.
The rating behind it: Only a named person can be sworn in and cross-examined about a valuation, so a machine cannot give this evidence.
The five ratings: output a model can produce 0/4 · needs a body in a room 2/4 · needs an accountable person 4/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.
Hosting open houses to showcase properties
staying human
This work happens in the physical world: open houses, in a real place. Software cannot follow it there.
importance 85 · 3555/01, 3555/03
Source: “Host open houses to showcase properties.” (UK task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world; the value is that a specific person does it.
The rating behind it: An open house means someone standing in the property welcoming visitors.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 1/4.
Photographing interiors and exteriors of properties to assist in estimating property value and substantiate findings
staying human
This work happens in the physical world: interiors, in a real place. Software cannot follow it there.
importance 75 · 3555/02
Source: “Photograph interiors and exteriors of properties to assist in estimating property value and substantiate findings.” (UK task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Photographing a property means being there with a camera.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Connecting and disconnecting utility services as required at specific locations
staying human
This work happens in the physical world: utility services, in a real place. Software cannot follow it there.
importance 85 · 3555/03
Source: “Connect and disconnect utility services as required at specific locations.” (UK task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Connecting and disconnecting utilities is physical work at the property.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.

What this job pays, and how many people do it

Median pay: £30,600a year, before tax, the middle of the range, so half earn more and half earn less.ashe-t14, 2025 · ASHE 2025 provisional (reference April 2025)Provisional, because the ONS revises this figure in the autumn.
How we know this
Source: ashe-t14
Reference period: ASHE 2025 provisional (reference April 2025)
Rounding: Shown to the nearest £100. The exact published figure is in the downloadable dataset. We do not render pounds the survey cannot support.
People doing this job: 52,700in the UK, 2026.nomis-aps · Apr 2025-Mar 2026 (latest APS 12-month period)This headcount comes from a survey, not a census, so treat it as a good estimate rather than an exact count.

What is deliberately not here: a forecast of how many of these jobs exist in ten years. Where an official projection exists for a market we publish it with its vintage; where it does not, we leave the space empty rather than borrow the other country’s number.

Why this is shifting

The reason is boringly specific. Most of what is shifting here is reading one thing and writing another: lists of properties compatible in, a record out. The rows above are exactly that shape: generating lists of properties compatible with buyers' needs and financial resources and arranging viewing appointments. What it cannot do is be there in the room, and that is still where properties get done. Which is why this page talks about your tasks changing, not your job ending.

Your move

Over a pint: what I’d tell you if you were my friend

Your week is splitting in two, and which half fills it is the whole question. Generating lists of properties compatible with buyers' needs and financial resources is going; showing properties to prospective tenants is not.

So, given all that: 43% of this job's task weight sits in rows the software is already learning, 23% in rows that change shape rather than disappear, and 35% in rows it is nowhere near. That is the position, measured across 98 scored tasks. It is not a forecast about you.

The occupation is an average and you are not, so the first job below is finding out where your own week actually sits.

This week: one thing

Print the task ledger above and put your own hours next to each row. Roughly, in pen, in one sitting. Then look at which group your hours actually pile up in. Twenty minutes, this week.

What you end up holding: your own week, on one page, sorted into what is shifting and what is not
How long it takes: about twenty minutes

If printing it isn’t practical: Read the rows off this page and write the same list on the back of an envelope. Same twenty minutes, same page, and it works just as well said out loud to someone who knows the job. The point is your hours next to the rows, not the paper it is on.

Over the next 90 days

Volunteer toward the durable end, visibly. Over the next ninety days put your hand up for the work in the bottom group (showing properties to prospective tenants) and let people see you doing it. Not a new project: the same job, with your mix deliberately tilted. The point is that when the rota or the reorganisation comes, the version of you people picture is the one doing the part that stays.

Over the next 12 months

Claim a specialism at the durable end and let the other end go. Over a year, deliberately become the person who handles showing properties to prospective tenants, and deliberately stop being the first choice for the rows in the top group. That trade costs something, because the exposed work is often the comfortable work. Decide it on purpose rather than by drift. Before you pay for anything, spend an hour with National Careers Service. It is free and government-funded, and it is listed below with the rest of the free routes.

The roads out of here, and why I am not sending you down them

I looked at the obvious moves out of this job, and here is what I found.

I checked the 12 nearest UK occupations to estate agents and auctioneers (nearest by the work that AI is not taking, not by job title), and none of them survived. The closest was property, housing and estate managers: only about 8% of its durable work is work you already do. Your own job splits about 43/57: that share of the list sits in the top exposure band and the rest does not. On this evidence the honest move is inside the job rather than out of it. Become the person who owns “advise clients about buying a home”, and let the exposed end go.

How that was checked: this job was compared against all 412 UK occupations in this release on their official task statements, and the 12 nearest were examined one by one. A move that turns on an industry, an employer or a qualification rather than on the work itself will not show up in a check like that. And this release carries no licence register, so anything you are weighing needs that looked up separately.

3 moves I checked and rejected

These are the obvious-looking jumps. They are here with their reasons rather than quietly dropped, because the ones that fail are worth knowing about. It is one less thing to turn over at night.

Property, housing and estate managers
Why it looked obvious: It came up as a near neighbour because one of your tasks is on their list in the same words: “routinely inspect grounds, facilities, and equipment to determine the necessity of repairs or maintenance”. Across the whole of both lists that adds up to about 8% of the work in that job the software is not taking.
Why I am not recommending it: Almost none of it is work you already do: about 8% of the durable side of that job. That is a different job, not a next step.
Look at that job’s page anyway →
Legal professionals n.e.c.
Why it looked obvious: It came up as a near neighbour because one of your tasks is on their list in the same words: “facilitate the exchange of contracts to complete property sales”. Across the whole of both lists that adds up to about 7% of the work in that job the software is not taking.
Why I am not recommending it: Almost none of it is work you already do: about 7% of the durable side of that job. That is a different job, not a next step.
Look at that job’s page anyway →
Finance and investment analysts and advisers
Why it looked obvious: It came up as a near neighbour because one of your tasks is on their list in the same words: “present and explain various mortgage options to clients based on their financial situation”. Across the whole of both lists that adds up to about 4% of the work in that job the software is not taking.
Why I am not recommending it: Almost none of it is work you already do: about 4% of the durable side of that job. That is a different job, not a next step.
Look at that job’s page anyway →

What I’d stop worrying about

A friend tells you what not to spend fear on. This is that list.

The headline number you read somewhere
The big “X% of jobs” figures are about the whole economy, not about you. The number that describes your job is on this page: 43% of its task weight, across 98 scored tasks. Every row behind it is printed above with the source. Check ours; ignore theirs.
The whole-job doom story
Nothing on this page says this job ends. It says the mix inside it moves. Half the rows above are unchanged or changing shape, and the plan is about which half your week sits in. That is a very different problem, and a solvable one.
Panic-buying a course
Do the twenty-minute sorting exercise first. Most people who buy a course before they have done it buy the wrong one, and the free services listed below will tell you the same thing without charging for it.
The “obvious” next job everyone suggests
I checked the obvious moves and most of them did not survive. The reasons are printed with the routes above, including the pay and the gate. A move that fails on the numbers is worth knowing about so you can stop turning it over at night.

You are reading the United Kingdom figures

The United States splits this work across more than one official group, of which Property, Real Estate, and Community Association Managers is the closest. The pay and employment figures are not directly comparable, and we do not average them together.

Switch to the United States page →partial match

The other groups this work is counted across:

In US official statistics this job is counted as Property, Real Estate, and Community Association Managers, Agents and Business Managers of Artists, Performers, and Athletes, Cost Estimators, Property Appraisers and Assessors, Financial Specialists, All Other, First-Line Supervisors of Non-Retail Sales Workers, Advertising Sales Agents, Real Estate Brokers, Real Estate Sales Agents and Sales and Related Workers, All Other. Pay is shown separately for each of those groups (medians cannot be averaged together), while the task list and the scores on this page are for this group only.

Your route through this

Where to go next, and what it costs

Free, and complete

The moves above cost nothing. These are the real services that go with them: public, government-funded, and free at the point of use. Nothing on this page is behind an email address or a payment.

In England:
National Careers Service
A free hour with a government-funded careers adviser is worth more than another evening of reading. In England that's the National Careers Service.
Free, government-funded
- Discover your skills and careers (the skills assessment)
In England:
National Careers Service - Find a course
Search what's actually running near you before you spend anything.
Free to search; individual courses vary
In England:
Free courses for jobs (Level 3 qualifications)
A free Level 3 qualification you already qualify for beats a paid course you don't need.
Free for eligible adults
In England:
Skills Bootcamps
Free, up to 16 weeks, and you get a job interview at the end. In England these are Skills Bootcamps - search what's running near you.
Free for eligible adults in England
- Skills Bootcamps - what they are and who can do them (DfE, Skills for Careers)
- Skills Bootcamps - JobHelp (DWP)
In Scotland:
My World of Work (Skills Development Scotland)
In Scotland it's My World of Work, from Skills Development Scotland.
Free, publicly funded
- Skills Development Scotland
In Wales:
Careers Wales
In Wales it's Careers Wales.
Free, Welsh Government-funded
In Northern Ireland:
Careers Service Northern Ireland
In Northern Ireland it's the Careers Service on nidirect.
Free, Department for the Economy-funded

No Space for this job, but one for what is happening to it

Nothing Collab365 runs is built for estate agents / auctioneers, and we are not going to point you at the nearest one and call it a fit.

There is one that is not about a job title at all. The AI Authority is about being the person who directs these tools at work rather than the person they get compared to. That is worth saying here, because 43% of the work on this page is already inside what they can do.

Try The AI Authority free →

7 days free, no card needed. Explore up to 2 Spaces before you choose a plan: you pick a plan later, not now.

The AI Authority is a general community about working with AI, not a course for estate agents / auctioneers. You do not need it to act on anything here: the moves above cost nothing and stand on their own. The data on this page is the same either way.

Noted, and thank you. We’ll email you if a Space for estate agents / auctioneers launches. Nothing else.

That did not look like an email address, so nothing was saved. Have another go below.

We could not save that. The fault is ours, not yours, and your address was not stored. Please try again later.

No Space for estate agents / auctioneers yet. Should there be one?

Collab365 Spaces is built by the same people as this site. We find the problems that AI and automation are creating inside one kind of work, then solve them as short courses, briefings and Blueprints. Each Space is the community too, so the research and the people doing your job are in the same place.

What a Space actually is, in full

Collab365 launches new communities where the need is real. If one for estate agents / auctioneers existed, with researched problems, courses and people in the same boat, would you want in?

Your email

We use your email address for one thing: to tell you if a Space for estate agents / auctioneers launches. We never sell it, never use it for unrelated marketing, and every email has a one-click unsubscribe. Our privacy policy has the full version.

This unlocks nothing. Every figure, every row and every step on this page is already yours, whether you fill this in or not.

No deadline on any of this. The page will still be here, and the data is refreshed on a published schedule rather than when someone wants a headline.

Questions people ask about this job

Will AI replace Estate agents and auctioneers?: Not as a job, but it is already doing parts of the work. Across the 98 official task statements scored for Estate agents and auctioneers (United Kingdom, SOC 3555), 43% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 52 out of 100 (range 46–58, band: partial). That is a statement about tasks, not about headcount: this measures what AI could do, not whether any employer adopts it, whether the law allows it, or whether doing the routine parts faster creates more demand for the human parts. Figures are from release 2026-q4.1.
Which tasks in “Estate agents and auctioneers” can AI already do?: The highest-scoring tasks in release 2026-q4.1 are: “Search public records for transactions such as sales, leases, and assessments” (100/100, very high); “Generate lists of properties compatible with buyers' needs and financial resources” (93/100, very high); “Request listings of available rental properties” (93/100, very high). Each score comes from five published 0–4 ratings turned into a number by a published formula, and each carries the model's one-sentence reason on the page.
Which tasks in “Estate agents and auctioneers” stay human?: About 35% of this job's task weight sits in work that scores low for AI exposure. The lowest-scoring tasks in release 2026-q4.1 are: “Connect and disconnect utility services as required at specific locations” (0/100, minimal); “Photograph interiors and exteriors of properties to assist in estimating property value and substantiate findings” (0/100, minimal); “Show properties to prospective tenants” (0/100, minimal). Low scores usually mean the task needs a body in a room, a legally accountable human, or trust built in real time. Those are the three things the scoring rubric treats as gates rather than obstacles.
What should someone working in “Estate agents and auctioneers” do about AI?: Start from the ledger rather than the headline: 43% of this job's weighted core work is exposed, and roughly 35% is not. The practical move is to spend more of your week on the tasks that score low, the ones above, and to get fluent at directing AI through the tasks that score high, because those are the parts that change whether or not you are ready for them. This page does not predict your job, and nothing here is career advice tailored to you: the score describes the occupation, not the person.
How is the AI exposure score for Estate agents and auctioneers calculated?: Each official task statement for the occupation is rated on five published 0–4 dimensions (output replicability, physical embodiment, licensed accountability, real-time human trust, and data availability) by claude-opus-5 using scoring prompt task_scoring_v1.0. The model never writes the score; a published formula turns the five ratings into a 0–100 number, so every score can be recomputed by hand. The occupation figure is the importance-weighted mean across 98 scored tasks. The prompt, the rubric, the formula and the full dataset are published at https://futureproof.collab365.com/method and https://futureproof.collab365.com/data/2026-q4.1 under CC BY 4.0.

Where these numbers come from

About the data on this page

Provisional, because the ONS revises this figure in the autumn.
This headcount comes from a survey, not a census, so treat it as a good estimate rather than an exact count.
One task scored differently between repeat runs, so its range on this page is wider. We would rather show the wobble than hide it.
The match between this job and its counterpart in the other country is partial, so the two pages count slightly different groups of people.
23 of this occupation's scored task statements carry a score that was measured under a different occupation's context, because the statement is shared between jobs and has only been scored once so far. Each one names the occupation it was measured under in the free routes below; none is presented as a measurement for this job.
Task clusters are not derived in this release, so the task-cluster field is empty and no Collab365 Space routing is attached to this occupation yet.

Task statements: gaisi-indexProcessing: catalogue-bridge → ssc-relatedness-weighting → task-scoring → score-aggregation
Task weights: gaisi-index (relatedness)
Scores: Rubric task_scoring_v1.0, model claude-opus-5, computed 2026-08-05.
Pay and employment: ashe-t14 (ASHE 2025 provisional (reference April 2025))nomis-aps (Apr 2025-Mar 2026 (latest APS 12-month period))

Figures on this page come from release 2026-q4.1, published 2026-08-05. Every release keeps its own permanent address, so a figure you cite in March is still there, unchanged, in November.

The plain-English wording on this page is assembled directly from the task statements and the published ratings, not written by hand for this occupation. That is why it is specific, and it is also why we say so.

The routes and free resources further up are today’s, not the release’s (last reviewed 2026-08-05). A route is an offer, not a historical fact, so it moves on its own clock.

How we score a job Download this release Look up another job

Using these figures?

Cite this

Everything on this site is published under CC BY 4.0. Quote it, chart it, sell something built on it. Just say where it came from, and cite the dated release rather than the site, so the figure you quote stays checkable.

Plain text

Collab365 (2026). Collab365 Futureproof: task-level AI exposure for US and UK occupations, release 2026-q4.1 (methodVersion 2.0.0, promptVersion task_scoring_v1.0). https://futureproof.collab365.com/data/2026-q4.1. Licensed CC BY 4.0. Built with O*NET data (USDOL/ETA, CC BY 4.0); ONS data (Open Government Licence v3.0); GAISI task framework (arXiv:2507.22748, MIT); BLS data (public domain).

BibTeX

@misc{collab365futureproof2026q41,
  title        = {Collab365 Futureproof: task-level AI exposure for US and UK occupations, release 2026-q4.1},
  author       = {{Collab365}},
  year         = {2026},
  url          = {https://futureproof.collab365.com/data/2026-q4.1},
  note         = {Release 2026-q4.1, methodVersion 2.0.0, promptVersion task_scoring_v1.0, CC BY 4.0}
}

Permalink

https://futureproof.collab365.com/data/2026-q4.1

Data as of release 2026-q4.1, published 2026-08-05. Releases never change after publication; when the figures move, a new dated release is published beside this one and this one stays exactly where it is.