US dataswitch to UK
Architectural and Engineering Managers
managing the coordination and overall integration of technical activities in architecture or engineering projects, developing methods to estimate the efficiency of biomass pretreatments and conducting experiments to test new or alternate feedstock fermentation processes. 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: analyzing data from biofuels studies. That is a slice of tasks, not of you.
That slice is not coming back; the core of the job, conducting experiments on biomass or pretreatment technologies, stays yours. The tools change hands, the accountability doesn't.
Your week, as this page understands it
Plan, direct, or coordinate activities in such fields as architecture and engineering or research and development in these fields. The job title says “architectural” or “engineering managers”: officially one job, two names. The real job is the part underneath: conducting experiments on biomass or pretreatment technologies. 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 architectural and engineering managers is not one task. It is 37 scored ones, and they are nowhere near equally exposed. The most durable of them, on this evidence, is conducting experiments on biomass or pretreatment technologies, and the ledger below shows exactly why.
Where the work sits, by task weight
- shifting to AI
- 28%
- changing shape
- 24%
- staying human
- 48%
These bars are tasks changing hands, not people being counted out. The ledger below shows which.
Whole-job exposure score 45 out of 100 (40–51 allowing for uncertainty): partial exposure, across 37 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 architectural and engineering managers 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.
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.
- 3 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
10 tasksTasks 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.
Analyzing data from biofuels studies
This is reading one thing and writing another: data in, a record out. That is the shape today's tools are built for.
importance 4 · CoreSource: “Analyze data from biofuels studies, such as fluid dynamics, water treatments, or solvent extraction and recovery processes.” (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: Analyzing experimental data is number work that software handles well once the results are recorded.
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.
Developing or implementing policies, standards or procedures for engineering and technical work
This is reading one thing and writing another: policies, standards or procedures in, a record out. That is the shape today's tools are built for.
importance 3 · CoreSource: “Develop or implement policies, standards, or procedures for engineering and technical work.” (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: Engineering standards and procedures are heavily documented, so drafting a solid policy set is straightforward.
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.
Reviewing, recommending or approving contracts or cost estimates
This is reading one thing and writing another: contracts in, a record out. That is the shape today's tools are built for.
importance 3 · CoreSource: “Review, recommend, or approve contracts or cost estimates.” (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: Checking contract terms and cost figures against standards is close reading of documents, 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 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Performing administrative functions, such as reviewing or writing reports, approving expenditures, enforcing rules or purchasing of materials or services
This is reading one thing and writing another: administrative functions in, a record out. That is the shape today's tools are built for.
importance 3 · CoreSource: “Perform administrative functions, such as reviewing or writing reports, approving expenditures, enforcing rules, or purchasing of materials or services.” (O*NET task statement)
How this row was scored
Exposure score: 64 out of 100 (60–68 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: Reports, approvals and purchasing paperwork are routine document work that software already 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 1/4 · how much data exists 3/4.
Changing shape
9 tasksTasks 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.
Preparing or overseeing the preparation
The software now makes the first pass at the preparation, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · CoreSource: “Prepare, or oversee the preparation of, experimental plans for biofuels research or development.” (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: the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Experimental plans draft from published methods, though a researcher's judgment shapes what is actually worth testing.
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 0/4 · how much data exists 3/4.
Presenting and explaining proposals, reports or findings to clients
The software now makes the first pass at proposals, reports or findings, 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 3 · CoreSource: “Present and explain proposals, reports, or findings to clients.” (O*NET 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: The slides and the written explanation come easily, but standing in front of a client answering questions does not.
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.
Proposing new biofuels products, processes
The software now makes the first pass at new biofuels products, processes, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · CoreSource: “Propose new biofuels products, processes, technologies or applications based on findings from applied biofuels or biomass research projects.” (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: the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Software can suggest promising directions from findings, but proposing genuinely new products still needs expert judgment.
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 0/4 · how much data exists 3/4.
Staying human
18 tasksTasks 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.
Managing the coordination and overall integration of technical activities in architecture or engineering projects
The value here is that a specific person handles the coordination and stands behind it. That is earned, not computed.
importance 4 · CoreSource: “Manage the coordination and overall integration of technical activities in architecture or engineering projects.” (O*NET 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 same decision, made over and over; the value is that a specific person does it.
The rating behind it: Schedules and coordination documents draft well, but keeping several technical teams pulling together depends on a manager's standing.
The five ratings: output a model can produce 2/4 · 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.
Directing, reviewing or approving project design changes
The rules require a named, qualified person to answer for project design changes, and that person cannot be a piece of software.
importance 4 · CoreSource: “Direct, review, or approve project design changes.” (O*NET task statement)
How this row was scored
Exposure score: 31 out of 100 (27–35 allowing for uncertainty): low exposure, high 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: A licensed engineer or architect has to approve design changes, whatever help software gives in reviewing them.
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 1/4 · how much data exists 3/4.
Designing or conducting applied biodiesel or biofuels research projects on topics
This work happens in the physical world: applied biodiesel, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Design or conduct applied biodiesel or biofuels research projects on topics, such as transport, thermodynamics, mixing, filtration, distillation, fermentation, extraction, and separation.” (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: Study designs can be drafted, but running biofuels research means hands on equipment in a laboratory.
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.
Show the other 27 tasks
Developing computational tools or approaches to improve biofuels research and development activities
shifting to AIThis is reading one thing and writing another: computational tools in, a record out. That is the shape today's tools are built for.
importance 3 · SupplementalSource: “Develop computational tools or approaches to improve biofuels research and development activities.” (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: Writing computational tools is one of the strongest areas for current software, with abundant reference 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.
Evaluating environmental regulations or social pressures related to environmental issues to inform strategic or operational decision-making
shifting to AIThis is reading one thing and writing another: environmental regulations in, a record out. That is the shape today's tools are built for.
importance 3 · SupplementalSource: “Evaluate environmental regulations or social pressures related to environmental issues to inform strategic or operational decision-making.” (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: Regulations and public debate are published text, so pulling out what matters for decisions is a strength.
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 biofuels research and development reports for senior management or technical professionals
shifting to AIThis is reading one thing and writing another: biofuels research in, a record out. That is the shape today's tools are built for.
importance 4 · CoreSource: “Prepare biofuels research and development reports for senior management or technical professionals.” (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: Turning research results into a written report for management is exactly what writing 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.
Identifying environmental threats or opportunities associated with the development and launch of new technologies
shifting to AIThis is reading one thing and writing another: environmental threats in, a record out. That is the shape today's tools are built for.
importance 3 · SupplementalSource: “Identify environmental threats or opportunities associated with the development and launch of new technologies.” (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: Scanning for environmental risks and opportunities around new technology is written research work.
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.
Assessing project feasibility by analyzing technology
shifting to AIThis is reading one thing and writing another: project feasibility in, a record out. That is the shape today's tools are built for.
importance 3 · CoreSource: “Assess project feasibility by analyzing technology, resource needs, or market demand.” (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: Weighing technology, resources and demand is desk analysis using documented methods and figures the company already holds.
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 budgets, bids or contracts
shifting to AIThis is reading one thing and writing another: budgets, bids or contracts in, a record out. That is the shape today's tools are built for.
importance 3 · CoreSource: “Prepare budgets, bids, or contracts.” (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: Budgets, bids and contracts follow set formats and priced inputs, which software handles well before someone checks it.
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.
Designing chemical conversion processes, such as etherification, esterification, interesterification, transesterification, distillation, hydrogenation
changing shapeThe software now makes the first pass at chemical conversion processes, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 3 · SupplementalSource: “Design chemical conversion processes, such as etherification, esterification, interesterification, transesterification, distillation, hydrogenation, oxidation or reduction of fats and oils, and vegetable oil refining.” (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: the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: The chemistry is well documented, so process designs draft readily, though an engineer still shapes the choices.
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 0/4 · how much data exists 3/4.
Evaluating the environmental impacts of engineering
changing shapeThe software now makes the first pass at the environmental impacts, 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 · CoreSource: “Evaluate the environmental impacts of engineering, architecture, or research and development activities.” (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: Impact assessment follows published methods, though a qualified professional normally has to stand behind the findings.
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.
Developing or implementing programs to improve sustainability or reduce the environmental impacts of engineering or architecture activities or operations
changing shapeThe software now makes the first pass at programs, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 3 · CoreSource: “Develop or implement programs to improve sustainability or reduce the environmental impacts of engineering or architecture activities or operations.” (O*NET 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: the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: The plan drafts easily, but getting a sustainability program actually running across an organization takes a person pushing it.
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 1/4 · how much data exists 3/4.
Establishing scientific or technical goals within broad outlines provided by top management
changing shapeThe software now makes the first pass at scientific, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 3 · CoreSource: “Establish scientific or technical goals within broad outlines provided by top management.” (O*NET 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: the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Turning broad direction into technical goals needs someone accountable for the call, though drafting options is easy.
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 1/4 · how much data exists 3/4.
Directing recruitment, placement and evaluation of architecture or engineering project staff
changing shapeThe software now makes the first pass at recruitment, placement and evaluation of architecture, 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 3 · CoreSource: “Direct recruitment, placement, and evaluation of architecture or engineering project staff.” (O*NET task statement)
How this row was scored
Exposure score: 40 out of 100 (33–47 allowing for uncertainty): partial 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: Shortlisting and paperwork are easy to automate, but judging and choosing engineers stays a human decision.
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.
Soliciting project support by conferring with officials or providing information to the public
changing shapeThe software now makes the first pass at project support, 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 3 · SupplementalSource: “Solicit project support by conferring with officials or providing information to the public.” (O*NET task statement)
How this row was scored
Exposure score: 40 out of 100 (33–47 allowing for uncertainty): partial 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: Briefing material writes easily, but winning support from officials and the public depends on someone making the case.
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.
Developing separation processes to recover biofuels
staying humanThe ratings behind this row put separation processes well outside what today's tools can do on their own.
importance 3 · SupplementalSource: “Develop separation processes to recover biofuels.” (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: mistakes that are cheap to catch.
The rating behind it: Separation processes can be modelled on paper, but proving them out involves rigs and samples.
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 0/4 · how much data exists 2/4.
Developing methods to recover ethanol or other fuels from complex bioreactor liquid and gas streams
staying humanThe ratings behind this row put methods well outside what today's tools can do on their own.
importance 3 · SupplementalSource: “Develop methods to recover ethanol or other fuels from complex bioreactor liquid and gas streams.” (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: mistakes that are cheap to catch.
The rating behind it: Recovery methods can be worked out from published chemistry, but the detail comes from the actual plant streams.
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 0/4 · how much data exists 2/4.
Developing methods to estimate the efficiency of biomass pretreatments
staying humanThe ratings behind this row put methods well outside what today's tools can do on their own.
importance 4 · SupplementalSource: “Develop methods to estimate the efficiency of biomass pretreatments.” (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: mistakes that are cheap to catch.
The rating behind it: Efficiency estimation methods are largely calculation, though they are validated with laboratory work.
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 0/4 · how much data exists 2/4.
Planning or directing the installation
staying humanThe ratings behind this row put the installation well outside what today's tools can do on their own.
importance 3 · SupplementalSource: “Plan or direct the installation, testing, operation, maintenance, or repair of facilities or equipment.” (O*NET task statement)
How this row was scored
Exposure score: 37 out of 100 (30–44 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: Plans and schedules draft well, but directing installation and repair work usually means being where the equipment is.
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 1/4 · how much data exists 3/4.
Consulting or negotiating with clients to prepare project specifications
staying humanThe value here is that a specific person handles clients and stands behind it. That is earned, not computed.
importance 4 · CoreSource: “Consult or negotiate with clients to prepare project specifications.” (O*NET 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 same decision, made over and over; the value is that a specific person does it.
The rating behind it: Specifications can be drafted from notes, but agreeing them with a client is a back-and-forth conversation.
The five ratings: output a model can produce 2/4 · 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.
Providing technical or scientific guidance to technical staff in the conduct of biofuels research or development
staying humanThe value here is that a specific person handles technical or scientific guidance and stands behind it. That is earned, not computed.
importance 4 · CoreSource: “Provide technical or scientific guidance to technical staff in the conduct of biofuels research or development.” (O*NET 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: Guidance draws on experience that is rarely written down, and junior staff learn from someone they work beside.
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.
Overseeing biodiesel/biofuels prototyping or development projects
staying humanThe ratings behind this row put biodiesel/biofuels well outside what today's tools can do on their own.
importance 4 · CoreSource: “Oversee biodiesel/biofuels prototyping or development projects.” (O*NET 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: mistakes that are cheap to catch.
The rating behind it: Tracking a prototype project is partly paperwork, but overseeing a build means being where the hardware is.
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 1/4 · how much data exists 2/4.
Planning, directing or coordinating survey work with other project activities
staying humanThe ratings behind this row put survey work well outside what today's tools can do on their own.
importance 3 · SupplementalSource: “Plan, direct, or coordinate survey work with other project activities.” (O*NET 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: Coordinating survey work is scheduling and paperwork, but the surveying itself happens out in the field.
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.
Performing protein functional analysis and engineering for processing of feedstock and creation of biofuels
staying humanThis work happens in the physical world: protein functional analysis, in a real place. Software cannot follow it there.
importance 3 · SupplementalSource: “Perform protein functional analysis and engineering for processing of feedstock and creation of biofuels.” (O*NET task statement)
How this row was scored
Exposure score: 29 out of 100 (22–36 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: Protein analysis is increasingly computational, but the engineering half still happens in a laboratory.
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 3/4.
Conferring with management, production or marketing staff to discuss project specifications or procedures
staying humanThe value here is that a specific person handles management, production or marketing staff and stands behind it. That is earned, not computed.
importance 3 · CoreSource: “Confer with management, production, or marketing staff to discuss project specifications or procedures.” (O*NET task statement)
How this row was scored
Exposure score: 28 out of 100 (21–35 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: The task is the conversation itself, so notes and summaries help but do not replace being in the meeting.
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 2/4 · how much data exists 3/4.
Designing or executing solvent or product recovery experiments in laboratory or field settings
staying humanThis work happens in the physical world: solvent, in a real place. Software cannot follow it there.
importance 3 · SupplementalSource: “Design or execute solvent or product recovery experiments in laboratory or field settings.” (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: Designing the experiment is desk work; running it in a laboratory or field is not.
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.
Developing lab scale models of industrial scale processes
staying humanThis work happens in the physical world: lab scale models of industrial scale processes, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Develop lab scale models of industrial scale processes, such as fermentation.” (O*NET 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: Building a working lab-scale version of an industrial process is mostly hands-on construction and running of equipment.
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.
Conducting research to breed or developing energy crops with improved biomass yield
staying humanThis work happens in the physical world: research, in a real place. Software cannot follow it there.
importance 3 · SupplementalSource: “Conduct research to breed or develop energy crops with improved biomass yield, environmental adaptability, pest resistance, production efficiency, bioprocessing characteristics, or reduced environmental impacts.” (O*NET 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: Breeding better energy crops takes seasons of growing and selecting plants in fields or greenhouses.
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.
Conducting experiments on biomass or pretreatment technologies
staying humanThis work happens in the physical world: experiments, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Conduct experiments on biomass or pretreatment technologies.” (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: Running experiments on biomass means handling materials and equipment at a bench.
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.
Conducting experiments to test new or alternate feedstock fermentation processes
staying humanThis work happens in the physical world: experiments, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Conduct experiments to test new or alternate feedstock fermentation processes.” (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: Testing fermentation with new feedstocks means physically preparing and running the process.
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
- $171,270a 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
- 220,260in 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: policies, standards or procedures in, a record out. The rows above are exactly that shape: analyzing data from biofuels studies and developing or implementing policies, standards or procedures for engineering and technical work. What it cannot do is be there in the room, and that is still where experiments 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. Analyzing data from biofuels studies is going; conducting experiments on biomass or pretreatment technologies is not.
So, given all that: 28% of this job's task weight sits in rows the software is already learning, 24% in rows that change shape rather than disappear, and 48% in rows it is nowhere near. That is the position, measured across 37 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 (conducting experiments on biomass or pretreatment technologies) 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 conducting experiments on biomass or pretreatment technologies, 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 architectural and engineering managers (nearest by the work that AI is not taking, not by job title), and none of them survived. The closest was plant and system operators, all other: only about 4% of its durable work is work you already do, it pays 63.5% less and there are far fewer of those jobs than of yours. Your own job splits about 28/72: 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 “manage the coordination and overall integration of technical activities in architecture or…”, 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.
Plant and System Operators, All Other
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already propose new biofuels products, processes, technologies or applications based on findings from applied…, and their equivalent is to operate chemical processing equipment for the production of biofuels. 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. It is a pay cut, in those words: $62,470 against your $171,270, 63.5% less (OEWS May 2025 (both)). Retraining to earn less is a decision, not advice. And it is a narrow door: about 14,080 of those jobs against 220,260 of yours (OEWS May 2025), 6% as many seats.
Construction Managers
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already plan or direct the installation, testing, operation, maintenance, or repair of facilities or…, and their equivalent is to plan, organize, or direct activities concerned with the construction or maintenance of structures…. Across both published task lists that is about 3% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 3% of the durable side of that job. That is a different job, not a next step. It is a pay cut, in those words: $114,990 against your $171,270, 32.9% less (OEWS May 2025 (both)). Retraining to earn less is a decision, not advice.
Electrical Engineers
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already confer with management, production, or marketing staff to discuss project specifications or procedures, and their equivalent is to confer with engineers, customers, or others to discuss existing or potential engineering projects…. Across both published task lists that is about 3% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 3% of the durable side of that job. That is a different job, not a next step. It is a pay cut, in those words: $120,630 against your $171,270, 29.6% less (OEWS May 2025 (both)). Retraining to earn less is a decision, not advice.
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: 28% of its task weight, across 37 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.
If you run a team doing this job
If you run a team doing this job, the conversation you owe them is the one on this page, and sooner than feels comfortable. Show them the ledger rather than a reassurance: the rows moving toward the software are analyzing data from biofuels studies, and the rows that are not are where you want your people visible. Ask each of them to do the this-week move and bring the list to your next one-to-one. It turns a rumour into a piece of work, and it tells you which parts of your team's week are actually at stake. And say the thing out loud that a team lead usually leaves unsaid: a shrinking team is your exposure too, so do the move yourself as well.
You are reading the United States figures
The United Kingdom splits this work across more than one official group, of which Research and development (r&d) managers 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
The other groups this work is counted across:
In UK official statistics this job is counted as Research and development (r&d) managers and Biochemists and biomedical scientists. 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.
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:
An American Job Center will sit down with you for free. Find yours by ZIP code.
Free
Anywhere in the US:
CareerOneStop - Licensed occupations finder
Check what your state actually requires before you pay for anything.
Free
Anywhere in the US:
Free
No Space for this job, but one for what is happening to it
Nothing Collab365 runs is built for architectural / engineering managers, 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 28% of the work on this page is already inside what they can do.
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 architectural / engineering managers. 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 architectural / engineering managers 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 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 Architectural and Engineering Managers?
- Not as a job, but it is already doing parts of the work. Across the 37 official task statements scored for Architectural and Engineering Managers (United States, SOC 11-9041), 28% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 45 out of 100 (range 40–51, 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 “Architectural and Engineering Managers” can AI already do?
- The highest-scoring tasks in release 2026-q4.1 are: “Develop computational tools or approaches to improve biofuels research and development activities” (83/100, very high); “Evaluate environmental regulations or social pressures related to environmental issues to inform strategic or operational decision-making” (83/100, very high); “Prepare biofuels research and development reports for senior management or technical professionals” (75/100, 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 “Architectural and Engineering Managers” stay human?
- About 48% 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: “Conduct experiments to test new or alternate feedstock fermentation processes” (0/100, minimal); “Conduct experiments on biomass or pretreatment technologies” (0/100, minimal); “Conduct research to breed or develop energy crops with improved biomass yield, environmental adaptability, pest resistance, production efficiency, bioprocess…” (8/100, 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 “Architectural and Engineering Managers” do about AI?
- Start from the ledger rather than the headline: 28% of this job's weighted core work is exposed, and roughly 48% 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 Architectural and Engineering Managers 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 37 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.
- 3 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.
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}
}Data as of release 2026-q4.1, published . 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.