Gini Loh System Tools

AI Automation Index

Will AI Replace Transportation Engineers?

Task-level automation exposure for Transportation Engineers: 26 O*NET tasks scored against their work activities, plus the simulator.

E-E-A-T Verified
Developed & audited by Gini Loh

Automation Exposure

53% weighted task index

26 of 26 tasks scored

Median Salary

$100,840 / year

BLS OEWS, May 2025 — this exact occupation

Employment Level

Very High

367,840 people hold this job — size, not growth

Projected 2025–35

+6.4% employment change

22,700 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.

$61,060 – $122,500

Highest medians

California $122,500
Alaska $114,730
Washington $110,000
Massachusetts $106,730
Louisiana $105,380

Lowest medians

Puerto Rico $61,060
Guam $67,410
Georgia $84,240
Arkansas $85,020
West Virginia $86,930

State figures come from the 17-2051 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 53%

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 53%

Share in analysis, decisions, teaching, directing, advising, or caring for others.

Routine administration 5%

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 24/100 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

26 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) 42%

11 tasks

Medium exposure (≥ 35%) 41%

10 tasks

Low exposure (below 35%) 17%

5 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 →

Emerging & rewritten tasks

Tasks O*NET added or rewrote for this occupation in its recent updates (05/2025 – 08/2026), with who proposed them. Additions are not in the scored task inventory — they are new work O*NET is still measuring, so they appear here and nowhere in the index. A Revision replaces a task that is scored, which is why only those move the "Rewritten by O*NET" share.

  • New 05/2025 · AI/SME

    Develop plans for integration of drone technology into transportation systems for purposes such as delivery of goods or traffic monitoring.

Constituent Tasks

#16323 · Core · 50% automatable

Design or prepare plans for new transportation systems or parts of systems, such as airports, commuter trains, highways, streets, bridges, drainage structures, or roadway lighting.

decision support — AI drafts civil designs; licensed engineer verifies and stamps

Design civil structures or systems.
#16320 · Core · 60% automatable

Check construction plans, design calculations, or cost estimations to ensure completeness, accuracy, or conformity to engineering standards or practices.

decision support — Design quality evaluation needs engineering judgment

Evaluate designs or specifications to ensure quality.
#16305 · Core · 75% automatable

Prepare administrative, technical, or statistical reports on traffic-operation matters, such as accidents, safety measures, or pedestrian volume or practices.

text generation — Operational reports drafted from data

Prepare technical or operational reports.
#16311 · Core · 72% automatable

Plan alteration or modification of existing transportation structures to improve safety or function.

text generation — Detailed work plans drafted from specifications

Prepare detailed work plans.
#16319 · Core · 55% automatable

Confer with contractors, utility companies, or government agencies to discuss plans, specifications, or work schedules.

interpersonal — Conferring with technical staff on plans is relational work

Confer with technical personnel to prepare designs or operational plans.
#16303 · Core · 55% automatable

Present data, maps, or other information at construction-related public hearings or meetings.

text generation — Explanatory content drafted; public engagement human

Explain project details to the general public.
#16310 · Core · 45% automatable

Prepare final project layout drawings that include details such as stress calculations.

text generation — Civil drawings need licensed engineering judgment

Create graphical representations of civil structures.
#16314 · Core · 55% automatable

Investigate traffic problems and recommend methods to improve traffic flow or safety.

decision support — General safety advice; accountability and context human

Advise others on health and safety issues.
#16318 · Core · 68% automatable

Estimate transportation project costs.

data analysis — Operational cost estimation from data

Estimate operational costs.
#19612 · Core · 38% automatable

Design or engineer drainage, erosion, or sedimentation control systems for transportation projects.

decision support — AI assists design; engineering and regulatory validation human

Design environmental control systems.
#16307 · Core · 60% automatable

Evaluate traffic control devices or lighting systems to determine need for modification or expansion.

data analysis — Equipment specs analysis aided; physical testing human

Evaluate characteristics of equipment or systems.
#16309 · Core · 66% automatable

Prepare project budgets, schedules, or specifications for labor or materials.

decision support — Algorithmic scheduling with human oversight of constraints

Schedule operational activities. Determine operational criteria or specifications. Prepare project budgets.
#16316 · Core · 22% automatable

Inspect completed transportation projects to ensure safety or compliance with applicable standards or regulations.

visual inspection — Physical site verification against specs is human

Inspect facilities or sites to determine if they meet specifications or standards.
#16304 · Core · 62% automatable

Review development plans to determine potential traffic impact.

data analysis — Evaluates technical data impact; engineer owns design

Evaluate technical data to determine effect on designs or plans.
#16306 · Core · 60% automatable

Evaluate transportation systems or traffic control devices or lighting systems to determine need for modification or expansion.

data analysis — Equipment specs analysis aided; physical testing human

Evaluate characteristics of equipment or systems.
#16321 · Core · 55% automatable

Analyze environmental impact statements for transportation projects.

data analysis — Impact assessment aided; site-specific data human

Investigate the environmental impact of projects.
#16322 · Core · 30% automatable

Supervise the maintenance or repair of transportation systems or system components.

physical manipulation — Directing repair activities involves hands-on equipment work

Direct equipment maintenance or repair activities.
#16313 · Core · 60% automatable

Model transportation scenarios to evaluate the impacts of activities such as new development or to identify possible solutions to transportation problems.

data analysis — AI builds computational models; engineer validates assumptions

Create models of engineering designs or methods.
#19616 · Core · 22% automatable

Inspect completed transportation projects to ensure compliance with environmental regulations.

visual inspection — Physical site verification against specs is human

Inspect facilities or sites to determine if they meet specifications or standards.
#16312 · Core · 35% automatable

Participate in contract bidding, negotiation, or administration.

interpersonal — Logistics contract negotiation needs mandate

Negotiate contracts for transportation, distribution, or logistics services. Negotiate contracts with clients or service providers.
#19615 · Core · 58% automatable

Evaluate construction project materials for compliance with environmental standards.

data analysis — Analyzes specs for implications; expert judgment required

Evaluate plans or specifications to determine technological or environmental implications.
#16317 · Core · 30% automatable

Direct the surveying, staking, or laying-out of construction projects.

interpersonal — Directing field survey crews needs human oversight

Direct surveying activities.
#19613 · Core · 55% automatable

Design transportation systems or structures with sustainable materials or products, such as porous pavement or bioretention structures.

decision support — AI proposes green features; engineer owns design decisions

Incorporate green features into the design of structures or facilities.
#16315 · Supplemental · 25% automatable

Investigate or test specific construction project materials to determine compliance to specifications or standards.

physical manipulation — Material characteristic testing needs physical instruments

Test characteristics of materials or structures.
#16308 · Supplemental · 72% automatable

Develop or assist in the development of transportation-related computer software or computer processes.

text generation — Code generation strong; human architects and reviews

Develop software or computer applications.
#19614 · Supplemental · 72% automatable

Develop plans to deconstruct damaged or obsolete roadways or other transportation structures in a manner that is environmentally sound or prepares the land for sustainable development.

text generation — Detailed work plans drafted from specifications

Prepare detailed work plans.
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Community Sentiment

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Method

How this was scored

  1. 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
  2. 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. 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. 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

See the full method →

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