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AI Automation Index
Will AI Replace Architectural and Engineering Managers?
Task-level automation exposure for Architectural and Engineering Managers: 19 O*NET tasks scored against their work activities, plus the simulator.
E-E-A-T Verified
Developed & audited by Gini Loh Automation Exposure
49%
weighted task index
19 of 19 tasks scored
Median Salary
$171,270 / year
BLS OEWS, May 2025 — this exact occupation
Employment Level
High
220,260 people hold this job — size, not growth
Projected 2025–35
+5.5%
employment change
14,900 openings a year · BLS line item
Pay by state
BLS OEWS publishes 53 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$100,740 – $215,120
Highest medians
New Mexico $215,120
California $210,280
Massachusetts $201,430
Washington $189,680
District of Columbia $185,220
Lowest medians
Guam $100,740
Puerto Rico $130,560
Arkansas $140,600
Nebraska $141,020
Wisconsin $142,060
State figures come from the 11-9041 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.
What the score is made of
Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.
Automation potential 49%
Importance-weighted mean of the scored tasks. This is the headline index.
Physical work 0%
Share of weighted tasks in hands-on or machine-operating work activities.
Judgment & influence 70%
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Routine administration 11%
Share in documenting, recording, and administrative activities.
Rewritten by O*NET 0%
Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.
Consequence of error 11/100
Low
O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.
Constituent Task Mix
19 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.
High exposure (≥ 60% of the task is automatable) 15%
3 tasks
Medium exposure (≥ 35%) 67%
13 tasks
Low exposure (below 35%) 18%
3 tasks
How would you survive?
Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.
Simulate Upskilling →Constituent Tasks
#20170 · Core · 22% automatable
Manage the coordination and overall integration of technical activities in architecture or engineering projects.
interpersonal — Managing construction is site leadership and accountability
Manage construction activities.
#20171 · Core · 56% automatable
Direct, review, or approve project design changes.
data analysis — Feasibility analysis from data, human validates assumptions
Analyze data to determine project feasibility. Manage operations, research, or logistics projects.
#1071 · Core · 40% automatable
Consult or negotiate with clients to prepare project specifications.
decision support — AI drafts specs; human negotiates tradeoffs
Negotiate project specifications.
#20172 · Core · 75% automatable
Prepare budgets, bids, or contracts.
data analysis — Reports and budgets drafted; human owns assumptions
Prepare financial documents, reports, or budgets. Prepare operational budgets.
#1070 · Core · 58% automatable
Present and explain proposals, reports, or findings to clients.
interpersonal — Stakeholder communication needs relationship and judgment
Communicate organizational information to customers or other stakeholders.
#1060 · Core · 45% automatable
Confer with management, production, or marketing staff to discuss project specifications or procedures.
interpersonal — Coordinating work through live human interaction
Confer with organizational members to accomplish work activities.
#20173 · Core · 70% automatable
Assess project feasibility by analyzing technology, resource needs, or market demand.
data analysis — Market research analysis; human interprets strategy
Analyze data to determine project feasibility. Estimate demand for products or services. Analyze market research data.
#20175 · Core · 30% automatable
Review, recommend, or approve contracts or cost estimates.
decision support — Expenditure approval is accountable human act
Approve expenditures.
#20176 · Core · 49% automatable
Develop or implement policies, standards, or procedures for engineering and technical work.
decision support — AI drafts strategies; human owns operational judgment
Implement organizational process or policy changes. Develop organizational policies or programs. Develop operating strategies, plans, or procedures.
#20178 · Core · 58% automatable
Establish scientific or technical goals within broad outlines provided by top management.
text generation — Goals drafted; leadership accountability human
Develop organizational goals or objectives.
#20174 · Core · 35% automatable
Direct recruitment, placement, and evaluation of architecture or engineering project staff.
interpersonal — HR management is relational and accountability-bearing
Manage human resources activities.
#20177 · Core · 58% automatable
Perform administrative functions, such as reviewing or writing reports, approving expenditures, enforcing rules, or purchasing of materials or services.
data analysis — Reports and budgets drafted; human owns assumptions
Approve expenditures. Prepare financial documents, reports, or budgets. Purchase materials, equipment, or other resources.
#19525 · Core · 47% automatable
Develop or implement programs to improve sustainability or reduce the environmental impacts of engineering or architecture activities or operations.
text generation — Policy drafting aided; governance decisions human
Implement organizational process or policy changes. Develop sustainable organizational policies or practices.
#19527 · Core · 55% automatable
Evaluate the environmental impacts of engineering, architecture, or research and development activities.
data analysis — Evaluation aided; regulatory judgment and site data human
Evaluate environmental impact of operational or development activities.
#1063 · Supplemental · 25% automatable
Plan or direct the installation, testing, operation, maintenance, or repair of facilities or equipment.
physical manipulation — Facility maintenance direction requires hands-on site oversight
Direct facility maintenance or repair activities.
#19528 · Supplemental · 55% automatable
Identify environmental threats or opportunities associated with the development and launch of new technologies.
decision support — Concern identification aided; site judgment human
Identify environmental concerns.
#20180 · Supplemental · 40% automatable
Plan, direct, or coordinate survey work with other project activities.
decision support — AI drafts strategies; human owns operational judgment
Develop operating strategies, plans, or procedures. Manage construction activities.
#19526 · Supplemental · 68% automatable
Evaluate environmental regulations or social pressures related to environmental issues to inform strategic or operational decision-making.
information retrieval — Legal change impact analysis; counsel validates
Analyze impact of legal or regulatory changes.
#20179 · Supplemental · 52% automatable
Solicit project support by conferring with officials or providing information to the public.
text generation — Promotional materials drafted; human executes outreach
Present information to the public. Promote products, services, or programs. Communicate with government agencies.
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How this was scored
- 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
- 2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
- 3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
- 4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.
Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.
Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast
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