Will AI replace industrial 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 12.4% 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.

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:

• Confer with clients, vendors, staff, and management personnel regarding purchases, product and production specifications, manufacturing capabilities, or project status. (56m a shift)
• Estimate production costs, cost saving methods, and the effects of product design changes on expenditures for management review, action, and control. (34m a shift)
• Develop manufacturing methods, labor utilization standards, and cost analysis systems to promote efficient staff and facility utilization. (34m a shift)
• Plan and establish sequence of operations to fabricate and assemble parts or products and to promote efficient utilization. (28m a shift)
• Analyze statistical data and product specifications to determine standards and establish quality and reliability objectives of finished product. (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
• 61% are in constant contact with other people
• 59% say dealing with the public is very or extremely important

We track 1 sourced company move that affects this job. Most recent:

• Nov 14, 2024: thyssenkrupp plans global use of Siemens AI copilot to engineer machines (Plan)

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 59% 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: Complex Problem Solving, Mathematics, Systems Evaluation, Critical Thinking
• Get strong at the parts of the job that stay with people (listed above), which take 8h of a typical shift
• Tools employers list: Structured query language SQL, SAP software, 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:

• Mechanical Engineers (1h 8m touched, $104k median pay)
• Industrial Engineering Technologists and Technicians (13m touched, $66k median pay)
• Validation Engineers (12m touched, $102k median pay)
• Manufacturing Engineers (33m touched, $102k median pay)

Each task carries its own evidence label. For this job: 20 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.