Mostly Resilient

Last Update: 6/19/2026

AI Resilience Score for Engineers, All Other:

55.9%

Median Score

Meaningful human contribution

Med

Long-term employer demand

Med

Sustained economic opportunity

High

Our confidence in this score:
Medium

Contributing sources

Methodology and Scoring Rationale

To score how resilient engineering work in specialized and emerging fields is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from four AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, and Will Robots Take My Job. We call this dimension Meaningful Human Contribution (MHC) and weight it at 40%.

Next, whether employers will keep hiring for this job over the long term. This dimension, which we call Long-term Employer Demand (LTE), is calculated from BLS data and weighted at 30%.

Last, whether pay and mobility will hold up. We use wage bill and adaptive capacity data from independent researchers (Althoff & Reichardt, 2026; Manning & Aguirre, 2026). We call this dimension Sustained Economic Opportunity (SEO) and weight it at 30%.

For engineers in this catch-all category, six of seven sources had data, with Will Robots Take My Job missing. AI exposure split: Anthropic saw medium risk while AI Resilience Model and Microsoft both rated it high, pulling confidence down to medium. Strong pay and mobility signals pushed the score up, landing this role at "Mostly Resilient."

AI Resilience Report forEngineers, All Other

$117,750 median salary9,300 annual openingsSOC Code: 17-2199.00

Engineers, All Other are somewhat more resilient to AI impacts than most occupations, according to our analysis of 6 sources.

Engineering careers like this one are holding up well because the core of the work involves solving unique, complex problems that require human creativity, judgment, and ethical reasoning, and those are things AI simply cannot replace. Right now, AI is acting more like a powerful assistant than a replacement, helping engineers run simulations, explore design options, and speed up repetitive tasks, while humans stay in charge of the big decisions.

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This role is mostly resilient

Engineering careers like this one are holding up well because the core of the work involves solving unique, complex problems that require human creativity, judgment, and ethical reasoning, and those are things AI simply cannot replace. Right now, AI is acting more like a powerful assistant than a replacement, helping engineers run simulations, explore design options, and speed up repetitive tasks, while humans stay in charge of the big decisions.

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Analysis of Current AI Resilience

Engineers, All Other

Updated Quarterly

Analysis
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State of Automation

How is AI changing Engineers, All Other jobs?

If you're worried about AI taking over engineering jobs, here's some reassuring news: for engineers who solve unusual, one-of-a-kind problems, AI is mostly showing up as a powerful helper — not a replacement. According to the New Jersey Society of Professional Engineers, AI isn't replacing engineers, it's amplifying capabilities, with machine learning now assisting with everything from predictive maintenance to structural analysis, and generative design tools exploring thousands of design iterations in hours to optimize for weight, strength, cost, and sustainability simultaneously [1]. The American Society of Mechanical Engineers describes a similar shift, noting that much of the traditional sketch-model-prototype-test cycle is being compressed so designers can describe ideas in plain language and see them rendered instantly [2].

A 2026 industry survey reported by SME's Advanced Manufacturing also found that AI copilots are significantly more common than autonomous agents, with adoption ranging from 67% in requirements engineering to 76% in simulation, while only about 10% of teams use fully autonomous AI agents [3] — because engineering mistakes can affect real-world safety.

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AI Adoption

How fast is AI adoption growing for Engineers, All Other?

Several forces are pushing adoption forward quickly. An IEEE survey found that 96% of technology leaders expect agentic AI to accelerate in 2026, with 59% planning to invest in AI agents in the next 12 months [4]. The World Economic Forum reports that AI and big data are projected to grow in importance more rapidly than any other skills over the next five years [5], pushing employers to bring AI into engineering workflows.

However, adoption is being slowed by safety, liability, and ethical concerns — the same IEEE study notes that 50% of leaders see over-reliance on AI and inaccuracies as a top concern, and 44% list AI ethics as a key hiring skill. The good news for young people: the U.S. Bureau of Labor Statistics still projects that several engineering occupations will grow faster than the 3.1% average for all occupations through 2034 [6]. Human creativity, judgment, and ethical reasoning remain the parts of engineering that AI can't replace.

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Will AI replace Engineers, All Other?

Will AI replace Engineers, All Other?

No. We don't think AI will replace Engineers, All Other, though we do expect the job to change.

Our 55.9% AI Resilience Score reflects a field where AI is arriving fast but landing mostly as a co-pilot, not a replacement. Industry data shows that AI copilots are significantly more common than autonomous agents, with adoption ranging from 67% in requirements engineering to 76% in simulation, while only about 10% of teams use fully autonomous AI agents [3]. The reason is simple: engineering mistakes affect real-world safety, and that keeps humans firmly in the loop.

What AI is actually doing is compressing the slow parts. Generative design tools can now explore thousands of iterations in hours to optimize for weight, strength, cost, and sustainability [1], and designers can describe ideas in plain language and see them rendered instantly [2]. That frees engineers to focus on judgment calls, ethical tradeoffs, and creative problem-solving that AI genuinely cannot handle.

The economic picture supports staying in this field. Wages remain strong, and the World Economic Forum projects AI and big data skills will grow in importance faster than almost any other area over the next five years [5]. Engineers who learn to work alongside AI tools will likely find themselves more valuable, not less.

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Latest AI news for Engineers, All Other

These articles highlight the transformative impact of AI on engineering roles, emphasizing that while AI may change job responsibilities, it won't replace engineers. For instance, the Simplilearn article notes AI is handling repetitive tasks, allowing engineers to focus on creative problem-solving. Similarly, the IEEE article discusses how entry-level tech jobs are evolving, requiring stronger collaboration and critical thinking skills. Students should embrace these changes, developing AI resilience by enhancing their adaptability and higher-order thinking to thrive in this new landscape.

More Career Info

Career: Engineers, All Other

They solve unique problems by designing, testing, and improving products or systems that don’t fit into traditional engineering categories.

Parent Careers

Employment & Wage Data

Median Wage

$117,750

Jobs (2024)

158,800

Growth (2024-34)

+2.1%

Annual Openings

9,300

Education

Bachelor's degree

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2024-2034

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