Resilient
Last Update: 8/30/2026
AI Resilience Score for Transportation Engineers:
67.2%
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.
Med
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
$100,840 median salary•22,700 annual openings•SOC Code: 17-2051.01
Transportation Engineers are more resilient to AI impacts than most occupations, according to our analysis of 6 sources.
Transportation Engineering is labeled "Resilient" because AI is stepping in as a helpful tool rather than a replacement, handling time-consuming tasks like document review and data analysis while licensed engineers stay in charge of final decisions. Government regulations and safety laws actually require a human engineer to review and approve all work, which means your judgment and professional accountability are built into the job by law.
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Transportation Engineering is labeled "Resilient" because AI is stepping in as a helpful tool rather than a replacement, handling time-consuming tasks like document review and data analysis while licensed engineers stay in charge of final decisions. Government regulations and safety laws actually require a human engineer to review and approve all work, which means your judgment and professional accountability are built into the job by law.
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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. State transportation departments are already using AI as a "helper" for the reporting and data-crunching parts of the job. For example, Texas DOT says AI "is no longer experimental" [1] at the agency and is now embedded in workflows, though the department requires a "human-in-the-loop review" so licensed engineers stay accountable for final decisions.
AASHTO leaders also point out that AI's biggest short-term win is helping DOTs synthesize millions of PDF documents [1] — the reports, plans, and studies that used to take engineers days to sift through.
For traffic modeling, new generative AI agents let engineers ask plain-English questions about congestion and crashes. One vendor claims its AI speeds up diagnostic time by up to 90% [2] so engineers can spend more time on strategy and safety. On the design side, the Bureau of Labor Statistics notes [3] that civil engineers can use AI to check building codes and reduce design revisions, but "government-mandated quality-control regulations still require civil and other professional engineers to review and approve any work."
Sources
How fast is AI adoption growing for Transportation Engineers?
Adoption will likely be steady but cautious. McKinsey projects the broader architecture-engineering-construction sector could unlock roughly $228 billion by 2030 in annual U.S. value [4] through AI, which is a huge economic incentive. But safety and liability slow things down: ASCE reports engineers are worried that as models improve, it will be "more, not less, difficult to spot when they're making mistakes" [5], and a bad call on a bridge or intersection can cost lives.
Public hearings, contract negotiations, and stakeholder meetings — the parts of the job with the lowest automation scores — also depend on trust, judgment, and communication skills that AI can't replicate. The good news for young people: BLS still projects civil engineering employment to grow 6.5 percent from 2023 to 2033 [3], meaning AI is more likely to reshape your workday than eliminate your future job.
Sources
Will AI replace Transportation Engineers?
No. We don't think AI will replace Transportation Engineers, but we do expect the day-to-day work to shift in meaningful ways.
Right now, AI is acting more like a capable assistant than a replacement. State DOTs like Texas are already embedding AI into workflows for data crunching and document synthesis, while still requiring licensed engineers to review and approve every decision [1]. New traffic modeling tools can speed up diagnostic work dramatically, freeing engineers to focus on strategy and safety rather than sifting through raw data [2]. The parts of the job that involve public hearings, stakeholder negotiations, and high-stakes judgment calls remain firmly human territory.
The broader economic picture supports this optimism. BLS projects civil engineering employment to grow 6.5 percent from 2023 to 2033 [3], and McKinsey sees enormous value being unlocked across the architecture-engineering-construction sector through AI adoption [4]. Safety and liability concerns also slow automation: engineers and professional bodies worry that as AI models improve, spotting their errors actually gets harder, not easier [5]. Our 67.2% AI Resilience Score reflects all of this. AI is coming for the tedious parts of this job, and that is mostly good news for the people doing it.
Sources
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Latest AI news for Transportation Engineers
These articles highlight the transformative impact of AI on transportation engineering careers. For instance, the MIT Sloan article reveals that AI could automate tasks worth $65 billion, emphasizing the importance of adaptability in the workforce. Additionally, Mizzou's research on using lidar and AI to enhance road safety showcases the potential for innovation in improving infrastructure. As AI continues to reshape the industry, understanding its applications will empower future transportation engineers to create safer, more efficient systems, ensuring resilience in their careers.
Old Dominion University Researchers Define AI’s Role in Transportation Nationwide
www.odu.edu • 6/22/2026
Artificial intelligence (AI) is increasingly used to solve real-world problems, improving efficiency, strengthening decision-making and...
AI in Transportation: Advancing Mobility for Tomorrow
www.netguru.com • 5/28/2026
Uncover the future of transportation with AI innovations. Learn how smart technology is making travel safer, more efficient,...
An AI Certificate Positioned This Logistics Engineer to be Nimble
news.gsu.edu • 3/4/2026
Malcolm Stephen uses AI every day as a logistics engineer at J.B. Hunt Transport Services. But because of the environmental impact of data...
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.
Researchers using lidar and AI to advance transportation safety
engineering.missouri.edu • 3/23/2025
Mizzou engineers are using advanced technology to help make our roads safer by better understanding how pedestrians, cyclists and vehicles...
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.
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Employment & Wage Data
Median Wage
$100,840
Jobs (2025)
380,600
Growth (2025-35)
+6.4%
Annual Openings
22,700
Education
Bachelor's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2025-2035
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
Participate in contract bidding, negotiation, or administration.
3
Confer with contractors, utility companies, or government agencies to discuss plans, specifications, or work schedules.
4
Supervise the maintenance or repair of transportation systems or system components.
5
Direct the surveying, staking, or laying-out of construction projects.
6
Inspect completed transportation projects to ensure safety or compliance with applicable standards or regulations.
7
Inspect completed transportation projects to ensure compliance with environmental regulations.
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.
