Will AI replace mechatronics engineers?

Not on current evidence. Less than 30 minutes of a typical shift goes to tasks that AI or robots are doing today. The other 8h (100%) stays with people. Separately, BLS expects about 3.7% more of these jobs by 2035 (all jobs: +3.5%).

None of this job's tasks show regular AI use yet. That can mean the work is hands-on or in person, or simply that it rarely comes up in AI usage data.

Not in workplaces like this one, based on a 2026 review of robot deployments. 1 more task has only been done in factory setups built around the machine, so it stays with people here. For 1 physical task, no robot has shown it can do the work yet.

8h of a typical shift, or 100%, goes to tasks with no AI or robot evidence yet. No AI usage or robot deployment has shown up for these so far. The biggest:

• Implement or test design solutions. (56m a shift)
• Design engineering systems for the automation of industrial tasks. (44m a shift)
• Design, develop, or implement control circuits or algorithms for electromechanical or pneumatic devices or systems. (37m a shift)
• Create mechanical design documents for parts, assemblies, or finished products. (31m a shift)
• Research, select, or apply sensors, communication technologies, or control devices for motion control, position sensing, pressure sensing, or electronic communication. (31m a shift)

Much of it comes down to where and how the work happens. In-person, hands-on and high-stakes work is where AI and robots have made the least headway so far. In the official O*NET survey of people in this job:

• 81% talk face to face with others every day

On Indeed, job postings in the Mechanical Engineering sector are at 168% of their February 2020 level (all U.S. postings: 104%), up 43.4% from a year earlier, as of Oct 9, 2026. BLS separately expects about 8,800 openings a year in this job through 2035. Across all U.S. postings, 7.3% now mention AI skills. Sector postings cover more than this one job and move for many reasons besides AI.

The median pay is about $122,930 a year ($59.10 an hour), 141% above the median for all U.S. jobs ($50,980). Most people in this job earn between $66,810 and $189,950 a year; that range covers the middle 80%. Pay figures are from BLS, May 2025, and vary a lot by state and employer. Pick a state to compare:

BLS projects growth of 3.7% from 2025 to 2035, compared with 3.5% growth for all jobs. That's about 173,000 jobs in 2035. It expects about 8,800 openings a year, mostly from people retiring or changing careers. These projections don't single out AI as a cause.

About 154,000 people in the U.S., roughly 0.10% of all workers (BLS, May 2025). That makes it the 211th largest of the 796 jobs on this site. BLS expects about 173,000 in 2035.

The most common requirement is a bachelor's degree: about 66% of people in the job said so in the official O*NET survey. O*NET rates the job at level 4 of 5 for preparation, which usually means: bachelor's degree. Requirements vary by state and employer, especially for licensed work.

These come from the job's official skill ratings and from the tasks that AI and robots touch least today. Building them keeps you strong in the parts of the work that still need a person:

• Skills that matter more here than in most jobs: Technology Design, Operations Analysis, Mathematics, Judgment and Decision Making
• Get strong at the parts of the job that stay with people (listed above), which take 8h of a typical shift
• Tools employers list: The MathWorks MATLAB, Python, Microsoft PowerPoint, Microsoft Office software, Microsoft Excel

These use similar skills. Matches come from 109 official ratings of skills, knowledge and work activities, and each needs the same or less preparation unless the official list relates the jobs directly:

• Photonics Engineers (57m touched, $123k median pay)
• Mechanical Engineers (1h 8m touched, $104k median pay)
• Electronics Engineers (2h 32m touched, $130k median pay)
• Fuel Cell Engineers (0m touched, $104k median pay)
• Mechanical Engineering Technologists and Technicians (50m touched, $75k median pay)

Each task carries its own evidence label. For this job: 23 with no AI or robot evidence found. The minutes per task are estimates, not measured hours, and "no evidence" doesn't prove a task is safe.