How exposed are Manufacturing Engineers to AI?
Manufacturing Engineers score 82 out of 100 (Very high) on the AIRRBridge AI exposure scale, built from the U.S. Bureau of Labor Statistics' Employment Projections 2025–35 and O*NET task data. Exposure measures how much of the work AI tools could change. It is not a forecast of job loss.
How this score is built
| BLS AI exposure: Very high | The U.S. Bureau of Labor Statistics rates this occupation's relative exposure to AI as very high. Exposure measures how much of the work AI tools could change, and BLS notes it does not imply job loss. | 87.5 |
|---|---|---|
| O*NET task mix | How this occupation's tasks compare with other very high-exposure occupations: routine, information-heavy work raises it, while caring, hands-on and judgment-heavy work lowers it. | −4.5 |
| Score | Kept between 5 and 95. Low is under 25, Moderate 25 to 49, High 50 to 74, Very high 75 and up. | 83.0 |
Job outlook
| Median annual pay | $102,440 |
|---|---|
| Projected employment change, 2025 to 2035 | +12.4% |
| Openings per year, on average | about 23,100 |
| Typical education to enter | Bachelor's degree |
BLS publishes these figures for the wider group "Industrial engineers", which includes this occupation. Source: U.S. Bureau of Labor Statistics, Employment Projections 2025–35.
Common questions
How will AI affect Manufacturing Engineers?
AIRRBridge rates Manufacturing Engineers at 82 out of 100 (Very high) for AI exposure. Exposure measures how much of the work AI tools could change, not whether the job will disappear. BLS projects employment in the wider BLS group "Industrial engineers" to grow 12.4% from 2025 to 2035, with about 23,100 openings a year.
How much do Manufacturing Engineers make?
BLS reports a median annual pay of $102,440 for the wider BLS group "Industrial engineers".
What education do Manufacturing Engineers need?
BLS lists a bachelor's degree as the typical education needed to enter the wider BLS group "Industrial engineers".
Averages don't capture your exact tasks. Take the free AI Risk Check for a personal read on your own work as one of today's Manufacturing Engineers.
Check my risk freeO*NET-SOC 17-2112.03 · O*NET 30.2 data, scored October 2026. Source: U.S. Bureau of Labor Statistics, Employment Projections 2025–35. Includes information from the O*NET Database by USDOL/ETA, used under CC BY 4.0, modified by AIRRBridge. Scores are estimates for information only, not career advice.