Will AI replace manufacturing engineers?

Unlikely, though parts of the work are changing. About 33m of an 8-hour shift goes to tasks touched by AI that people use as a helper. The other 7h 27m (93%) stays with people. Separately, BLS expects about 12.4% more of these jobs by 2035 (all jobs: +3.5%).

AI shows up regularly in 1 of 24 tasks, about 33m of a typical shift. The biggest ones:

• Provide technical expertise or support related to manufacturing. (33m a shift, people use AI to help)

7h 27m of a typical shift, or 93%, 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:

• Troubleshoot new or existing product problems involving designs, materials, or processes. (44m a shift)
• Investigate or resolve operational problems, such as material use variances or bottlenecks. (39m a shift)
• Identify opportunities or implement changes to improve manufacturing processes or products or to reduce costs, using knowledge of fabrication processes, tooling and production equipment, assembly methods, quality control standards, or product design, materials and parts. (39m a shift)
• Apply continuous improvement methods, such as lean manufacturing, to enhance manufacturing quality, reliability, or cost-effectiveness. (33m a shift)
• Incorporate new manufacturing methods or processes to improve existing operations. (28m 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:

• 88% talk face to face with others every day
• 69% carry high or very high responsibility for other workers' safety

For the 1 task in this job where AI shows up and timing data exists, a typical request takes about 4h 34m for a person alone and about 46m with AI. These are Claude's own estimates from real conversations in April and May 2026 (Anthropic Economic Index). They describe single requests, not whole workdays, and time saved on a task doesn't mean jobs are cut. The biggest gaps:

• Provide technical expertise or support related to manufacturing (about 4h 34m alone, 46m with AI)

On Indeed, job postings in the Industrial Engineering sector are at 124% of their February 2020 level (all U.S. postings: 104%), up 38% from a year earlier, as of Oct 9, 2026. BLS separately expects about 23,000 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 $102,440 a year ($49.25 an hour), 101% above the median for all U.S. jobs ($50,980). Most people in this job earn between $74,370 and $159,860 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 12.4% from 2025 to 2035, compared with 3.5% growth for all jobs. That's about 411,000 jobs in 2035. It expects about 23,000 openings a year, mostly from people retiring or changing careers. These projections don't single out AI as a cause.

About 366,000 people in the U.S., roughly 0.24% of all workers (BLS, May 2025). That makes it the 114th largest of the 796 jobs on this site. BLS expects about 411,000 in 2035.

The most common requirement is a bachelor's degree: about 76% 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, Mathematics, Management of Material Resources, Operations Analysis
• Get strong at the parts of the job that stay with people (listed above), which take 7h 27m of a typical shift
• Tools employers list: Microsoft PowerPoint, Microsoft Office software, Microsoft Excel, Dassault Systemes SolidWorks, Autodesk AutoCAD
• Learn to use AI well on the tasks where it already shows up in this job (listed above)

These use similar skills, with less of a typical shift touched by AI or robots. 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:

• Fuel Cell Engineers (0m touched, $104k median pay)
• Nuclear Engineers (0m touched, $134k median pay)
• Chemical Engineers (0m touched, $125k median pay)
• Mechatronics Engineers (0m touched, $123k median pay)
• Materials Engineers (0m touched, $113k median pay)

Each task carries its own evidence label. For this job: 1 observed in real AI use, 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.