Your engineers are asking. So is your CFO, usually in a budget meeting. Will AI replace engineers, and should next year’s headcount plan shrink to match?
It’s a fair question. AI tools now draft designs, test them in software, and search code books in seconds. If you lead an engineering team, you’ve likely watched some of that work speed up already.
On headcount, though, the data points the other way. Federal forecasts, industry surveys, and engineering groups all tell the same story. AI takes over parts of the job. Meanwhile, demand for the people who do the job keeps rising.
Our engineering recruiters at VALiNTRY now hear this question on most new searches. So we pulled the latest federal data and industry research to add to what we see every week. The goal is to help clients and hiring leaders understand how these trends will affect their talent acquisition efforts for mechanical and electrical roles.
Will AI Replace Engineers? What the Federal Data Says
Each year, the U.S. Bureau of Labor Statistics (BLS) projects job growth for about 800 kinds of work over the next 10 years. Its newest set came out on August 27, 2026, and covers 2025 to 2035.
| BLS projection, 2025 to 2035 | Mechanical engineers | Electrical and electronics engineers |
|---|---|---|
| Jobs in 2025 | 298,500 | 297,900 |
| Projected job growth | 11% (much faster than average) | 8% (much faster than average) |
| New jobs added by 2035 | 33,500 | 23,400 |
| Average openings per year | 17,800 | 16,300 |
| Median annual pay (May 2025) | $104,110 | $125,040 |
Source: U.S. Bureau of Labor Statistics, Occupational Outlook Handbook.
Those growth rates stand out because the average for all jobs is just 3%. According to BLS projections for mechanical engineering jobs, the field will add 33,500 jobs by 2035. The BLS outlook for electrical and electronics work adds 23,400 more. Count retirements and job changes, and the two fields need about 34,000 new hires a year.
What BLS Found When It Studied AI
BLS also looked at AI head-on. In a 2025 Monthly Labor Review study, its economists asked how AI could affect engineering jobs.
They found that AI may help engineers get more done. Still, they judged those gains to be about the same size as what past software brought. As a result, BLS doesn’t expect AI to cause big drops in demand for engineers.
Industry surveys line up with that view. The ACEC Research Institute polled 628 engineering firm leaders in its January 2026 business survey. More than half of those firms now invest in staff focused on AI.
Yet the typical firm still had five open roles. Nearly two in three planned to hire more over the next year. In short, firms that adopt AI keep adding engineers.
Will AI Replace Mechanical Engineers? What AI Changes in the Work
Mechanical engineers have used smart software for years. Design tools suggest part shapes. Test software checks airflow and stress before anyone builds a part. Maintenance models flag a worn bearing before it stops a line.
Newer AI tools speed all of that up. A design that once took a week of revisions can now reach a first draft in an afternoon. That’s a real gain, and your team should use it.
Fast drafts still need an engineer behind them. In fact, BLS links mechanical engineering growth to automation itself. As plants add more complex automated machines, someone has to fit that gear into the systems already in place. That job usually falls to a mechanical engineer.
Think about a packaging line that adds a robotic palletizer. The robot arrives with software that plans its moves.
Yet someone still has to size the conveyors, set the guarding, and make the new cell work with old equipment. AI can help with each step. It can’t walk the floor and see that the drive shaft sits two inches off.
The American Society of Mechanical Engineers (ASME) makes a related point. If an AI model trains on data that doesn’t fit the problem at hand, it won’t produce a design that works. So the engineer has to know the physics well enough to catch the error. That makes strong basics worth more as AI use grows.
Will AI Replace Electrical Engineers? Why Demand Keeps Climbing
Electrical roles may be the safest of all. The BLS study also found that electrical and electronics jobs face even less AI risk than other engineering fields. The reason is plain: the country needs a huge amount of new electrical work.
Grid upgrades, electric vehicle plants, and data centers all need electrical engineers. AI also feeds that demand. Every new AI data center needs power systems that someone has to design and test. An engineer also has to choose the breakers and relays and decide how fast each one trips, so one fault doesn’t take down the whole site.
The supply of talent looks tight. IEEE Spectrum reported in January 2026 that the power grid engineering workforce is shrinking. It also found that data center builders are struggling to find trained electrical engineers. That pressure reaches every employer chasing the same people, including manufacturers far from any data center.
ACEC’s survey shows where firm leaders feel it most. Data centers (+89 net rating) and energy and utilities (+78) led all markets in business confidence. More confidence means more projects, and more projects mean more competition for electrical talent. If you’re hiring process engineers for a new chip fab, you’ve likely felt that squeeze.
AI tools do help electrical engineers. Chip and circuit design software now uses AI to speed up layout and debugging. Each engineer gets more done. The backlog of grid, vehicle, and data center projects grows faster than that.
Why Engineering Won’t Be Replaced by AI: Licensure and Accountability
So if AI can do the math, why does a person still need to sign off?
It comes down to who answers for the work. BLS notes that safety rules require licensed engineers to review and approve work done with new tools. A model can run a calculation. Only a person can hold a license, carry the legal risk, and answer to a regulator.
Engineering groups are drawing similar lines. In July 2026, ASME announced an AI model built to search its engineering standards. The goal is to help engineers find the right code faster.
At the same time, ASME’s AI policy bars AI tools from writing the substance of its standards.
Legal and insurance experts see the risk in the review step. They spoke to the ACEC Research Institute for an August 2026 study on AI risk. Their view: legal trouble starts when a flawed AI result shapes a design choice without proper review. That puts more weight on the reviewing engineer.
So will engineering be replaced by AI? On the current evidence, no. The field’s legal and safety rules keep a licensed person in charge of every choice that matters.
What AI Will Replace: The Engineering Tasks That Are Shrinking
For that August study, ACEC researchers interviewed 21 leaders. They came from engineering firms, public agencies, insurers, law firms, regulators, and AI companies. Most agreed AI won’t remove the need for engineers.
They also raised a quieter problem. The work AI handles best is the work that has always trained young engineers. Here’s how that breaks down:
| Tasks AI is taking over | Tasks gaining value |
|---|---|
| Routine calculations | Checking AI output against the physics |
| First-pass drawing checks | Tying mechanical, electrical, and controls systems together |
| Searching codes and standards | Applying codes to unusual site conditions |
| Drafting reports | Signing off and owning the decision |
| Early design revisions | Choosing which design to build and why |
The left column used to be how junior engineers built judgment. If AI takes it over, your new hires lose the learning opportunities that grow junior team members into senior engineers. That gap stays hidden for a few years. Then you need a lead engineer, and your bench is thin.
The real risk falls on teams that stop growing their own people.
Hiring Engineers AI Won’t Replace: How We Screen Candidates
When we screen mechanical and electrical engineers, we look past the software list on a resume. Almost every candidate now lists some AI or design tool. That list tells us very little about how they’ll use it.
Our recruiters focus on three things instead.
Judgment about AI output. We ask candidates to describe a time a tool gave them a wrong or strange result. Strong engineers explain how they spotted it, what they checked, and what they did next. Weak answers sound like “the software handled it.”
Basics under pressure. We test the core physics behind their work. A mechanical engineer should explain why a design failed and what that means for the fix. An electrical engineer should reason through a fault without a model doing the thinking.
Systems experience. AI-assisted plants and grids link more systems than ever. So we look for engineers who have worked across fields, such as a mechanical engineer who has partnered with a controls team. Those engineers take longer to find, and losing one sets a project back.
In our experience, the engineers who struggle most with AI are the ones who never had to defend their own numbers. We screen for people who can.
Can AI Replace Engineers on Your Team? Workforce Planning for 2027
As you’re building next year’s plan, AI should be a major consideration in how you staff for each role. Use this checklist to test your plan.
- Audit the tasks. List what each role does in a typical week. Mark which tasks AI tools already speed up and which still need a human call.
- Protect your junior pipeline. If AI takes over routine work, give junior engineers review work instead. For example, have them check AI output against hand calculations.
- Capture what your senior engineers know. The ACEC study called this a top priority. Much of the know-how behind past design choices lives only in people’s heads. As AI takes routine work off your senior engineers’ plates, give some of that time to mentoring junior engineers, so that knowledge stays with your team after they retire.
- Budget for AI-ready hires. More than half of ACEC firms already invest in AI-focused staff. Expect stiff competition for engineers who pair strong basics with tool skills.
- Plan for a tight electrical market. Data center and grid projects will keep pulling electrical engineers. Start those searches sooner than you think you need to.
Each step gives your team a head start on changes that are already underway.
Build an Engineering Team That Grows With AI
The engineers who can verify and augment AI’s work are the ones who keep your projects safe and on schedule. That’s the skill our recruiters look for in every search.
We place mechanical, electrical, and controls engineers on contract and direct hire terms. Our recruiters present vetted candidates typically within 48 hours. To learn more, explore our mechanical engineering staffing services and electrical engineering staffing services.
Call 800-360-1407 or reach out today.
Frequently Asked Questions About AI Replacing Engineers
Will AI Replace Mechanical Engineers?
No. The U.S. Bureau of Labor Statistics projects 11% job growth for mechanical engineers from 2025 to 2035. That works out to about 17,800 openings a year.
BLS ties part of that growth to automation, since plants need mechanical engineers to set up new automated gear. AI speeds up design work, but engineers still check the results and own the final design.
Will AI Replace Electrical Engineers?
No. BLS projects 8% job growth for electrical and electronics engineers from 2025 to 2035. That means about 16,300 openings a year.
Grid upgrades, electric vehicle plants, and data centers all drive demand. BLS has also said electrical jobs face even less AI risk than other engineering fields.
Will Engineering Be Replaced by AI in the Next 10 Years?
Federal projections say no. BLS expects AI to boost engineering output at about the same pace past software did, with no large job losses.
Safety rules also require licensed engineers to review and approve AI-assisted work. Will AI replace engineers in the next decade? The evidence says the job will change shape and keep growing.
What Engineering Jobs Are Safe From AI?
Roles built on judgment and sign-off are the safest. These include senior design engineers, controls and systems engineers, startup and test engineers, and licensed engineers who approve work. Tasks such as routine math, first-pass drawing checks, and reports are shrinking.
Engineers who can check AI output and link systems across fields are in the highest demand. Those are the engineers worth hiring now.