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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Last Update: 5/19/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
High
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
High
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
High
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
Transportation Engineers are much more resilient to AI impacts than most occupations, according to our analysis of 5 sources.
Transportation Engineering is labeled "Highly Resilient" because the most important parts of the job — like making safety-critical decisions, presenting plans to communities at public hearings, and signing off on construction designs — require human judgment and accountability that AI simply can't replace. Mistakes in road or bridge design can cost lives, so laws and safety regulations require a licensed engineer to be responsible for every major decision, which creates a strong, built-in protection against automation.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is highly resilient
Transportation Engineering is labeled "Highly Resilient" because the most important parts of the job — like making safety-critical decisions, presenting plans to communities at public hearings, and signing off on construction designs — require human judgment and accountability that AI simply can't replace. Mistakes in road or bridge design can cost lives, so laws and safety regulations require a licensed engineer to be responsible for every major decision, which creates a strong, built-in protection against automation.
Read full analysisAnalysis of Current AI Resilience
Transportation Engineers
Updated Quarterly • Last Update: 5/14/2026

Right now, AI is mostly augmenting transportation engineers rather than replacing them. The Minnesota Department of Transportation has begun exploring AI through training sessions and small pilot projects, giving employees access to tools such as Microsoft Copilot. The agency's leadership emphasizes that AI is intended to support staff rather than replace them.
The tools are especially good at the data-heavy tasks like writing traffic reports and investigating safety problems — exactly the work O*NET flags as most automatable. For example, MnDOT is using AI to analyze data from a vast network of cameras and sensors [1], including identifying near-miss crashes and detecting errors in large datasets. Vendors are launching engineer-facing agents too: Miovision's generative AI agent [2] lets traffic engineers ask plain-English questions about congestion or near-miss collisions and reportedly reduces diagnosis time "from days or weeks to minutes." State DOTs are scaling these ideas — TxDOT used AI to cut invoice review on engineering services [3] "from seven days to 30 minutes" and is piloting AI-based incident detection.

Adoption is moving fast but cautiously. On the speed-up side, MIT researchers estimate AI could augment or automate $65 billion of transportation-sector work [4], and cloud platforms have made these tools affordable for mid-size firms [5], not just giants. Public agencies also see clear wins in safety and cost savings, which Deloitte highlights in its analysis of AI and digital engineering for DOTs [6].
On the slow-down side, public safety, legal liability, and procurement rules demand strict human oversight — ASCE notes engineers worry about "hallucinations" and reliability risks [3], especially because mistakes in road or bridge design can be catastrophic. The reassuring takeaway for students: the hardest-to-automate parts of this job — presenting at public hearings, verifying construction plans, and exercising professional judgment — are exactly the human skills that will keep transportation engineers in demand.

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They design and improve roads, bridges, and other transportation systems to ensure people and goods can move safely and efficiently.
Median Wage
$99,590
Jobs (2024)
368,900
Growth (2024-34)
+5.0%
Annual Openings
23,600
Education
Bachelor's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Present data, maps, or other information at construction-related public hearings or meetings.
Check construction plans, design calculations, or cost estimations to ensure completeness, accuracy, or conformity to engineering standards or practices.
Supervise the maintenance or repair of transportation systems or system components.
Model transportation scenarios to evaluate the impacts of activities such as new development or to identify possible solutions to transportation problems.
Design or engineer drainage, erosion, or sedimentation control systems for transportation projects.
Direct the surveying, staking, or laying-out of construction projects.
Estimate transportation project costs.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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