Highly Resilient
Last Update: 6/19/2026
AI Resilience Score for Transportation Engineers:
80.3%
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
AI Resilience Report forTransportation Engineers
$99,590 median salary•23,600 annual openings•SOC Code: 17-2051.01
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 rely on uniquely human skills that AI simply cannot replicate, like presenting plans at public hearings, exercising professional judgment on safety decisions, and taking legal responsibility for designs that affect people's lives. While AI is genuinely helpful for speeding up data-heavy tasks (like reviewing invoices or analyzing camera footage), those time savings actually free up engineers to focus more on the complex, high-stakes work that requires a human expert.
Learn more about how you can thrive in this position
View analysis
Chat with Coach
Latest news
More career infoAnalysisChatNewsMoreThis role is highly resilient
Transportation engineering is labeled "Highly Resilient" because the most important parts of the job rely on uniquely human skills that AI simply cannot replicate, like presenting plans at public hearings, exercising professional judgment on safety decisions, and taking legal responsibility for designs that affect people's lives. While AI is genuinely helpful for speeding up data-heavy tasks (like reviewing invoices or analyzing camera footage), those time savings actually free up engineers to focus more on the complex, high-stakes work that requires a human expert.
Read full analysisLearn more about how you can thrive in this position
View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreAnalysis of Current AI Resilience
Transportation Engineers
Updated Quarterly
How is AI changing Transportation Engineers jobs?
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.
Sources
How fast is AI adoption growing for Transportation Engineers?
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.
Sources
Will AI replace Transportation Engineers?
No. We don't think AI will replace Transportation Engineers, but we do expect the tools they use to change significantly.
Our scorecard gives this career an 80.3% AI Resilience Score, and the reasons are pretty clear when you look at what the job actually involves. Yes, AI is already handling the data-heavy grunt work: tools like Miovision's generative AI agent let traffic engineers diagnose congestion problems in minutes instead of days or weeks [2], and state DOTs are using AI to analyze camera and sensor networks for near-miss crashes and dataset errors [1]. That kind of automation frees engineers up, it doesn't push them out.
The parts of this job that matter most are still deeply human. Presenting plans at public hearings, exercising professional judgment on safety calls, and signing off on construction designs all carry legal liability that AI simply cannot absorb. ASCE notes that engineers themselves worry about AI "hallucinations" causing catastrophic errors in road and bridge design [3], which is exactly why strict human oversight is baked into public infrastructure work.
The economic picture backs this up too. MIT researchers estimate AI could augment a significant share of transportation-sector work [4], but augment is the key word. More tools, more capability, same need for a licensed human in the room.
Sources
Help us improve this report.
Tell us if this analysis feels accurate or we missed something.
Share your feedback
Latest AI news for Transportation Engineers
These articles highlight the transformative impact of AI on transportation engineering careers. For instance, the "AI-based prediction of traffic crash severity" article emphasizes the need for engineers to integrate AI in safety assessments, enhancing road safety. Meanwhile, "Introducing Mobility AI" showcases how engineers can leverage AI for urban transportation optimization, improving efficiency. As AI reshapes the industry, understanding these advancements allows aspiring transportation engineers to remain resilient and seize new opportunities in a rapidly evolving field.
GM just laid off hundreds of IT workers to hire those with stronger AI skills
techcrunch.com • 5/20/2026
Some of the positions focus on AI-native development, data engineering and analytics, cloud-based engineering, and agent and model...
TechCrunch Mobility: The AI skills arms race is coming for automotive
techcrunch.com • 5/20/2026
Welcome back to TechCrunch Mobility — your central hub for news and insights on the future of transportation.
Which transportation workers will be most impacted by AI?
mitsloan.mit.edu • 9/23/2025
AI is poised to reduce costs in the transportation sector, potentially augmenting or automating $65 billion worth of tasks.
AI-based prediction of traffic crash severity for improving road safety and transportation efficiency
www.nature.com • 7/28/2025
Ensuring safe transportation requires a comprehensive understanding of driving behaviors and road safety to mitigate traffic crashes,...
Introducing Mobility AI: Advancing urban transportation
research.google • 4/23/2025
Google Research introduces Mobility AI, a program leveraging AI advancements in measurement, simulation, and optimization to provide transportation agencies...
More Career Info
Career: Transportation Engineers
They design and improve roads, bridges, and other transportation systems to ensure people and goods can move safely and efficiently.
Parent Careers
Similar Careers
Employment & Wage Data
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
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Present data, maps, or other information at construction-related public hearings or meetings.
2
Check construction plans, design calculations, or cost estimations to ensure completeness, accuracy, or conformity to engineering standards or practices.
3
Supervise the maintenance or repair of transportation systems or system components.
4
Model transportation scenarios to evaluate the impacts of activities such as new development or to identify possible solutions to transportation problems.
5
Design or engineer drainage, erosion, or sedimentation control systems for transportation projects.
6
Direct the surveying, staking, or laying-out of construction projects.
7
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.
