Will AI replace Construction and Building Inspectors?

Not as a job, but it is already doing parts of the work. Across the 40 official task statements scored for Construction and Building Inspectors (United States, SOC 47-4011), 35% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 44 out of 100 (range 39–51, 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 “Construction and Building Inspectors” can AI already do?

The highest-scoring tasks in release 2026-q4.1 are: “Analyze energy bills, including utility rates or tariffs, to gather historical energy usage data” (93/100, very high); “Calculate potential for energy savings” (93/100, very high); “Quantify energy consumption to establish baselines for energy use or need” (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 “Construction and Building Inspectors” stay human?

About 45% 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: “Sample and test air to identify gasses, such as bromine, ozone, or sulfur dioxide, or particulates, such as mold, dust, or allergens” (0/100, minimal); “Perform tests such as blower-door tests to locate air leaks” (0/100, minimal); “Examine lifting or conveying devices, such as elevators, escalators, moving sidewalks, hoists, inclined railways, ski lifts, or amusement rides to ensure saf…” (5/100, 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 “Construction and Building Inspectors” do about AI?

Start from the ledger rather than the headline: 35% of this job's weighted core work is exposed, and roughly 45% 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 Construction and Building Inspectors 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 40 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.

US dataswitch to UK

Construction and Building Inspectors

approving building plans that meet required specifications, recommending energy-efficient technologies or alternate energy sources and inspecting and monitoring construction sites to ensure adherence to safety standards. If that's your week, this page is about your job.

The honest answer

AI is already taking a real slice of the routine work here: calculating potential for energy savings. That is a slice of tasks, not of you.

Your move: what you can actually do about this ↓

Where the work sits, by task weight

shifting to AI: 35%
changing shape: 20%
staying human: 45%

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

Whole-job exposure score 44 out of 100 (39–51 allowing for uncertainty): partial exposure, across 40 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 construction and building inspectors 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 2026-08-04. Read the full method.

That slice is not coming back; the core of the job, inspecting or evaluating building envelopes, stays yours. The tools change, the responsibility doesn't.

Your week, as this page understands it

Inspect structures using engineering skills to determine structural soundness and compliance with specifications, building codes, and other regulations. Inspections may be general in nature or may be limited to a specific area, such as electrical systems or plumbing. The job title says “construction” or “building inspectors”: officially one job, two names. The real job is the part underneath: inspecting or evaluating building envelopes. 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 construction and building inspectors is not one task. It is 40 scored ones, and they are nowhere near equally exposed. The most durable of them, on this evidence, is inspecting or evaluating building envelopes, and the ledger below shows exactly why.

Where the work sits, by task weight

shifting to AI: 35%
changing shape: 20%
staying human: 45%

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 2026-08-04. 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.

2 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

12 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.

Identifying and prioritizing energy-saving measures
This is reading one thing and writing another: measures in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Identify and prioritize energy-saving measures.” (O*NET 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: Ranking energy-saving measures by payback is an analysis job software does quickly and consistently.
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.
Preparing audit reports containing energy analysis results or recommendations for energy cost savings
This is reading one thing and writing another: audit reports containing energy analysis results in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Prepare audit reports containing energy analysis results or recommendations for energy cost savings.” (O*NET task statement)
How this row was scored
Exposure score: 66 out of 100 (62–70 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: Audit reports are a standard format written from measurement data, which software drafts to a good standard.
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.
Calculating potential for energy savings
This is reading one thing and writing another: potential in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Calculate potential for energy savings.” (O*NET 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: Calculating potential energy savings is arithmetic against standard formulas, which software does faster and more consistently.
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.
Analyzing technical feasibility of energy-saving measures
This is reading one thing and writing another: technical feasibility of energy-saving measures in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Analyze technical feasibility of energy-saving measures, using knowledge of engineering, energy production, energy use, construction, maintenance, system operation, or process systems.” (O*NET 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: Testing whether a saving measure is technically workable is engineering analysis software supports strongly.
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

8 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.

Reviewing and interpreting plans, blueprints, site layouts, specifications or construction methods to ensure compliance to legal requirements and safety regulations
The software now makes the first pass at plans, blueprints, site layouts, specifications or construction methods, 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 4 · Core
Source: “Review and interpret plans, blueprints, site layouts, specifications, or construction methods to ensure compliance to legal requirements and safety regulations.” (O*NET 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: Reading drawings against code is document work, though a qualified person is normally expected in the loop.
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.
Identifying opportunities to improve the operation
The software now makes the first pass at opportunities, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · Core
Source: “Identify opportunities to improve the operation, maintenance, or energy efficiency of building or process systems.” (O*NET 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: Finding efficiency improvements in building systems is analysis, though some ideas come from being on site.
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.
Educating customers on energy efficiency or answering questions on topics
The software now makes the first pass at customers, 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 4 · Core
Source: “Educate customers on energy efficiency or answer questions on topics such as the costs of running household appliances or the selection of energy-efficient appliances.” (O*NET task statement)
How this row was scored
Exposure score: 58 out of 100 (51–65 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: Appliance running costs are well-published facts, though customers often want a person to answer their questions.
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 4/4.

Staying human

20 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 or evaluating building envelopes
This work happens in the physical world: envelopes, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Inspect or evaluate building envelopes, mechanical systems, electrical systems, or process systems to determine the energy consumption of each system.” (O*NET 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: Assessing an envelope or mechanical system for energy use means inspecting the real building.
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.
Conferring with owners, violators or authorities to explain regulations or recommend remedial actions
The value here is that a specific person handles owners, violators or authorities and stands behind it. That is earned, not computed.
importance 4 · Core
Source: “Confer with owners, violators, or authorities to explain regulations or recommend remedial actions.” (O*NET task statement)
How this row was scored
Exposure score: 34 out of 100 (27–41 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; the value is that a specific person does it.
The rating behind it: The regulations can be explained clearly by software, but telling an owner they must fix something takes people skills.
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 2/4 · how much data exists 3/4.
Measuring energy usage with devices
This work happens in the physical world: energy usage, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Measure energy usage with devices such as data loggers, universal data recorders, light meters, sling psychrometers, psychrometric charts, flue gas analyzers, amp probes, watt meters, volt meters, thermometers, or utility meters.” (O*NET task statement)
How this row was scored
Exposure score: 10 out of 100 (3–17 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world.
The rating behind it: Placing loggers, meters and probes around a building is hands-on measurement work.
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 3/4.

Show the other 30 tasks

Analyzing energy bills, including utility rates or tariffs, to gather historical energy usage data
shifting to AI
This is reading one thing and writing another: energy bills, including utility rates or tariffs in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Analyze energy bills, including utility rates or tariffs, to gather historical energy usage data.” (O*NET 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: Reading utility bills and tariffs to build a usage history is spreadsheet work software does better.
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.
Quantifying energy consumption to establish baselines for energy
shifting to AI
This is reading one thing and writing another: energy consumption in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Quantify energy consumption to establish baselines for energy use or need.” (O*NET 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: Working out a building’s energy baseline is a standard calculation from meter 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.
Comparing existing energy consumption levels to normative data
shifting to AI
This is reading one thing and writing another: energy consumption levels in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Compare existing energy consumption levels to normative data.” (O*NET 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: Comparing a building against published benchmarks is a data comparison software runs instantly.
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.
Preparing job specification sheets for home energy improvements
shifting to AI
This is reading one thing and writing another: job specification sheets in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Prepare job specification sheets for home energy improvements, such as attic insulation, window retrofits, or heating system upgrades.” (O*NET 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: Job specification sheets for insulation or window work follow published standards and templates.
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.
Recommending energy-efficient technologies or alternate energy sources
shifting to AI
This is reading one thing and writing another: energy-efficient technologies in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Recommend energy-efficient technologies or alternate energy sources.” (O*NET 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: Recommending efficient technologies draws on well-published product and performance data software can search 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.
Determining patterns of building use to show annual or monthly needs
shifting to AI
This is reading one thing and writing another: patterns in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Determine patterns of building use to show annual or monthly needs for heating, cooling, lighting, or other energy needs.” (O*NET 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: Finding monthly heating and lighting patterns in usage data is exactly what analysis software is for.
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.
Identifying any health or safety issues related to planned weatherization projects
shifting to AI
This is reading one thing and writing another: any health in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Identify any health or safety issues related to planned weatherization projects.” (O*NET 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: Listing health and safety risks for a planned weatherization job draws on well-documented standards.
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.
Verifying income eligibility of participants in publicly financed weatherization programs
shifting to AI
This is reading one thing and writing another: income eligibility of participants in, a record out. That is the shape today's tools are built for.
importance 3 · Supplemental
Source: “Verify income eligibility of participants in publicly financed weatherization programs.” (O*NET 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: Checking income documents against program eligibility rules is routine paperwork verification.
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.
Maintaining daily logs and supplement inspection records with photographs
changing shape
The software now makes the first pass at logs, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · Core
Source: “Maintain daily logs and supplement inspection records with photographs.” (O*NET 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: Keeping daily logs and attaching photographs is record-keeping software handles easily.
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.
Evaluating project details to ensure adherence to environmental regulations
changing shape
The software now makes the first pass at project details, 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 3 · Supplemental
Source: “Evaluate project details to ensure adherence to environmental regulations.” (O*NET 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: Checking project paperwork against environmental rules is document review 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 2/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Estimating cost of completed work or of needed renovations or upgrades
changing shape
The software now makes the first pass at cost of completed work, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 3 · Supplemental
Source: “Estimate cost of completed work or of needed renovations or upgrades.” (O*NET 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: Costing completed work or planned upgrades is pricing and measurement work software drafts well.
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.
Issuing permits for construction, relocation, demolition or occupancy
changing shape
The software now makes the first pass at permits, 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 4 · Core
Source: “Issue permits for construction, relocation, demolition, or occupancy.” (O*NET task statement)
How this row was scored
Exposure score: 47 out of 100 (40–54 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: The paperwork is routine, but issuing a permit is a formal act of the building authority.
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 0/4 · how much data exists 3/4.
Approving building plans that meet required specifications
changing shape
The software now makes the first pass at plans, 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 5 · Core
Source: “Approve building plans that meet required specifications.” (O*NET task statement)
How this row was scored
Exposure score: 47 out of 100 (40–54 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: Automated code checking is strong, but signing off a building plan is an official act by a certified inspector.
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 0/4 · how much data exists 3/4.
Collecting and analyzing field data related to energy usage
staying human
This work happens in the physical world: field data, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Collect and analyze field data related to energy usage.” (O*NET task statement)
How this row was scored
Exposure score: 38 out of 100 (31–45 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: Analyzing field energy data is desk work, but collecting it means being in the building.
The five ratings: output a model can produce 3/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Examining commercial sites to determine the feasibility of installing equipment that allows building management systems to reduce electricity consumption during peak demand periods
staying human
This work happens in the physical world: commercial sites, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Examine commercial sites to determine the feasibility of installing equipment that allows building management systems to reduce electricity consumption during peak demand periods.” (O*NET task statement)
How this row was scored
Exposure score: 25 out of 100 (18–32 allowing for uncertainty): low 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 whether demand-response gear will fit a commercial site needs both site visit and analysis.
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 0/4 · how much data exists 2/4.
Training, directing or supervising other construction inspectors
staying human
The value here is that a specific person handles other construction inspectors and stands behind it. That is earned, not computed.
importance 4 · Core
Source: “Train, direct, or supervise other construction inspectors.” (O*NET 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: Training and directing other inspectors depends on watching their judgment develop over time.
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.
Inspecting newly installed energy-efficient equipment to ensure that it was installed properly and is performing
staying human
This work happens in the physical world: installed energy-efficient equipment, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Inspect newly installed energy-efficient equipment to ensure that it was installed properly and is performing according to specifications.” (O*NET 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: Checking newly installed equipment works properly means being there with it.
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.
Inspecting bridges, dams, highways, buildings, wiring, plumbing, electrical circuits, sewers
staying human
This work happens in the physical world: bridges, dams, highways, buildings, wiring, plumbing, electrical circuits, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Inspect bridges, dams, highways, buildings, wiring, plumbing, electrical circuits, sewers, heating systems, or foundations during and after construction for structural quality, general safety, or conformance to specifications and codes.” (O*NET 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: Judging structural quality on a bridge or building means being on site looking at the real thing.
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 and monitoring construction sites to ensure adherence to safety standards
staying human
This work happens in the physical world: construction sites, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Inspect and monitor construction sites to ensure adherence to safety standards, building codes, or specifications.” (O*NET 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: Site safety and code checks depend on seeing the actual site as work progresses.
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.
Monitoring installation of plumbing, wiring, equipment or appliances to ensure that installation is performed properly and is in compliance with applicable regulations
staying human
This work happens in the physical world: installation of plumbing, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Monitor installation of plumbing, wiring, equipment, or appliances to ensure that installation is performed properly and is in compliance with applicable regulations.” (O*NET 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: Watching plumbing and wiring go in correctly requires standing where the work is happening.
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 facilities or installations to determine their environmental impact
staying human
This work happens in the physical world: facilities, in a real place. Software cannot follow it there.
importance 3 · Supplemental
Source: “Inspect facilities or installations to determine their environmental impact.” (O*NET 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: Working out a site’s environmental impact starts with walking the facility yourself.
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.
Monitoring construction activities to ensure that environmental regulations are not
staying human
This work happens in the physical world: construction activities, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Monitor construction activities to ensure that environmental regulations are not violated.” (O*NET 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: Spotting environmental breaches as work happens means being present while it happens.
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.
Overseeing installation of equipment, water heater wraps, pipe insulation, weatherstripping, door sweeps or low-flow showerheads to improve energy efficiency
staying human
This work happens in the physical world: installation of equipment, water heater wraps, pipe insulation, in a real place. Software cannot follow it there.
importance 3 · Core
Source: “Oversee installation of equipment such as water heater wraps, pipe insulation, weatherstripping, door sweeps, or low-flow showerheads to improve energy efficiency.” (O*NET task statement)
How this row was scored
Exposure score: 7 out of 100 (0–14 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Overseeing insulation and weatherstripping work means being on site while installers do it.
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 1/4 · how much data exists 2/4.
Evaluating premises for cleanliness, such as proper garbage disposal or lack of vermin infestation
staying human
This work happens in the physical world: premises, in a real place. Software cannot follow it there.
importance 2 · Supplemental
Source: “Evaluate premises for cleanliness, such as proper garbage disposal or lack of vermin infestation.” (O*NET task statement)
How this row was scored
Exposure score: 7 out of 100 (0–14 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Judging whether premises are clean or infested means going in and looking around.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Measuring dimensions and verifying level
staying human
This work happens in the physical world: dimensions, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Measure dimensions and verify level, alignment, or elevation of structures or fixtures to ensure compliance to building plans and codes.” (O*NET 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; someone qualified has to answer for it.
The rating behind it: Taking levels and dimensions on a structure means handling instruments in the right place.
The five ratings: output a model can produce 1/4 · 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.
Conducting environmental hazard inspections to identify or quantify problems
staying human
This work happens in the physical world: environmental hazard inspections, in a real place. Software cannot follow it there.
importance 3 · Supplemental
Source: “Conduct environmental hazard inspections to identify or quantify problems, such as asbestos, poor air quality, water contamination, or other environmental hazards.” (O*NET 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; someone qualified has to answer for it.
The rating behind it: Finding asbestos or contaminated water means taking samples on site with the right equipment.
The five ratings: output a model can produce 1/4 · 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.
Conducting inspections, using survey instruments, metering devices, tape measures or testing equipment
staying human
This work happens in the physical world: inspections, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Conduct inspections, using survey instruments, metering devices, tape measures, or test equipment.” (O*NET 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; someone qualified has to answer for it.
The rating behind it: Running survey and test instruments across a site is hands-on work at the location.
The five ratings: output a model can produce 1/4 · 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.
Examining lifting or conveying devices
staying human
This work happens in the physical world: devices, in a real place. Software cannot follow it there.
importance 3 · Supplemental
Source: “Examine lifting or conveying devices, such as elevators, escalators, moving sidewalks, hoists, inclined railways, ski lifts, or amusement rides to ensure safety and proper functioning.” (O*NET task statement)
How this row was scored
Exposure score: 5 out of 100 (0–12 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: Examining elevators and amusement rides is hands-on safety work that law reserves for certified inspectors.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 3/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Performing tests, blower-door tests to locate air leaks
staying human
This work happens in the physical world: tests, blower-door tests, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Perform tests such as blower-door tests to locate air leaks.” (O*NET 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: A blower-door test means setting up equipment in a doorway and walking the building.
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.
Sampling and testing air to identify gasses
staying human
This work happens in the physical world: air, in a real place. Software cannot follow it there.
importance 2 · Supplemental
Source: “Sample and test air to identify gasses, such as bromine, ozone, or sulfur dioxide, or particulates, such as mold, dust, or allergens.” (O*NET 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: Sampling and testing air for gases or mold is physical work with instruments on site.
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: $74,690a year, the middle of the range, so half earn more and half earn less.bls-oews, 2025 · May 2025 estimates (national_M2025_dl.xlsx)
How we know this
Source: bls-oews
Reference period: May 2025 estimates (national_M2025_dl.xlsx)
Rounding: Shown as published.
People doing this job: 146,720in the US, 2025.bls-oews · May 2025 estimates (national_M2025_dl.xlsx)

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: audit reports containing energy analysis results in, a record out. The rows above are exactly that shape: calculating potential for energy savings and identifying and prioritizing energy-saving measures. What it cannot do is be there in the room, and that is still where envelopes 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. Calculating potential for energy savings is going; inspecting or evaluating building envelopes is not.

So, given all that: 35% of this job's task weight sits in rows the software is already learning, 20% in rows that change shape rather than disappear, and 45% in rows it is nowhere near. That is the position, measured across 40 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 (inspecting or evaluating building envelopes) 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 inspecting or evaluating building envelopes, 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, use CareerOneStop - Find local training. It is free, it is the Labor Department's own service, 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 US occupations to construction and building inspectors (nearest by the work that AI is not taking, not by job title), and none of them survived. The closest was construction managers: only about 5% of its durable work is work you already do. Your own job splits about 35/65: 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 “review and interpret plans, blueprints, site layouts, specifications, or construction methods to…”, and let the exposed end go.

How that was checked: this job was compared against all 830 US 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.

Construction Managers
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already train, direct, or supervise other construction inspectors, and their equivalent is to direct and supervise construction or related workers. Across both published task lists that is about 5% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 5% of the durable side of that job. That is a different job, not a next step.
Look at that job’s page anyway →
Civil Engineers
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already inspect and monitor construction sites to ensure adherence to safety standards, building codes…, and their equivalent is to inspect project sites to monitor progress and ensure conformance to design specifications and…. Across both published task lists that is about 4% of the durable work in that job.
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 →
First-Line Supervisors of Construction Trades and Extraction Workers
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already inspect and monitor construction sites to ensure adherence to safety standards, building codes…, and their equivalent is to inspect work progress, equipment, or construction sites to verify safety or to ensure…. Across both published task lists that is about 4% of the durable work in that job.
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: 35% of its task weight, across 40 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 States figures

The United Kingdom splits this work across more than one official group, of which Building and civil engineering technicians is the closest. The pay and employment figures are not directly comparable, and we do not average them together.

Switch to the United Kingdom page →partial match

In UK official statistics this job is counted as Building and civil engineering technicians. Pay and employment stay on this page’s own group; the task list and the scores do not cross over.

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.

Anywhere in the US:
CareerOneStop - Find local training
Search what's running near you, from the Labor Department's own database, before anyone sells you a course.
Free to search; individual programs vary, and some are funded
Anywhere in the US:
American Job Center locator
An American Job Center will sit down with you for free. Find yours by ZIP code.
Free
- CareerOneStop local help hub
Anywhere in the US:
CareerOneStop - Licensed occupations finder
Check what your state actually requires before you pay for anything.
Free
Anywhere in the US:
CareerOneStop
Free

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

Nothing Collab365 runs is built for construction / building inspectors, 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 35% 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 construction / building inspectors. 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 construction / building inspectors 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 construction / building inspectors 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 construction / building inspectors 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 construction / building inspectors 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 Construction and Building Inspectors?: Not as a job, but it is already doing parts of the work. Across the 40 official task statements scored for Construction and Building Inspectors (United States, SOC 47-4011), 35% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 44 out of 100 (range 39–51, 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 “Construction and Building Inspectors” can AI already do?: The highest-scoring tasks in release 2026-q4.1 are: “Analyze energy bills, including utility rates or tariffs, to gather historical energy usage data” (93/100, very high); “Calculate potential for energy savings” (93/100, very high); “Quantify energy consumption to establish baselines for energy use or need” (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 “Construction and Building Inspectors” stay human?: About 45% 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: “Sample and test air to identify gasses, such as bromine, ozone, or sulfur dioxide, or particulates, such as mold, dust, or allergens” (0/100, minimal); “Perform tests such as blower-door tests to locate air leaks” (0/100, minimal); “Examine lifting or conveying devices, such as elevators, escalators, moving sidewalks, hoists, inclined railways, ski lifts, or amusement rides to ensure saf…” (5/100, 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 “Construction and Building Inspectors” do about AI?: Start from the ledger rather than the headline: 35% of this job's weighted core work is exposed, and roughly 45% 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 Construction and Building Inspectors 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 40 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

Worth knowing about these figures

The match between this job and its counterpart in the other country is partial, so the two pages count slightly different groups of people.
2 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: onet-dbProcessing: catalogue-bridge → onet-im-rt-weighting → task-scoring → score-aggregation
Task weights: onet-db (im-rt)
Scores: Rubric task_scoring_v1.0, model claude-opus-5, computed 2026-08-04.
Pay and employment: bls-oews (May 2025 estimates (national_M2025_dl.xlsx))bls-oews (May 2025 estimates (national_M2025_dl.xlsx))

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.