AI is not coming for your millwrights.It is already rewriting the jobs of the people who plan their work.
19 maintenance and reliability roles, scored against Karpathy's AI exposure framework and grounded in BLS data on 143 million US jobs.
- Roles scored
- 19
- BLS occupations
- 342
- US jobs mapped
- 143M
Two workforces. One department. Very different futures.
Karpathy's framework scores every occupation from 0 to 10 on AI exposure. The rule underneath it is blunt. If the work product is digital, exposure runs high. If the work needs hands, presence, and judgment on an unpredictable plant floor, exposure runs low.
Run that rule across a maintenance and reliability organization and it splits cleanly in two.
- 2/10Millwright
Among the most protected occupations in the entire US economy.
- 2–3/10Maintenance technician
538,300 US jobs, growing 13% through 2034.
- 6–7/10Reliability engineer
The analysis accelerates. The judgment stays human.
- 8/10?
One role on almost every M&R team scores an 8. Most managers guess the wrong one.
Among the most protected occupations in the entire US economy.
538,300 US jobs, growing 13% through 2034.
The analysis accelerates. The judgment stays human.
One role on almost every M&R team scores an 8. Most managers guess the wrong one.
The report scores all 19 roles task by task, and shows which duties AI absorbs first and which ones do not move at all.
Ten minutes on what the data actually says.
Bolt walks through the scoring method, the role by role results, and what the split means for where your training budget goes next year.
Prefer to read it? The full analysis covers every role in detail.
Send me the reportInside the 25 pages.
- 01AI exposure scores for all 19 maintenance and reliability roles, from lubrication technician to CMMS administrator.
- 02A task level breakdown of every role, showing which duties AI absorbs first and which stay human.
- 03BLS employment, median pay, and 2024 to 2034 growth projections for each mapped role.
- 04The scoring method explained, so you can apply it to roles specific to your site.
- 05Four L&D directions for organizations now training two workforces at once.
- 06A single page visual summary you can put in front of your leadership team.
Written for the people who own the workforce plan.
Maintenance and reliability leaders
You are being asked what AI changes about your headcount. This gives you a defensible answer and the data behind it.
Learning and development
Your craft training budget and your knowledge worker training budget are now moving in opposite directions. The report shows why, and what each one needs.
Plant and operations leadership
The trades shortage and the AI conversation usually happen in separate meetings. This puts them in one frame.
The inflection point sits at 4 out of 10.
Below it, the physical trades. Above it, the planning, analysis, and reporting layer. The US economy averages 5.3. Your craft workforce sits well under that number. Your office sits well over it.
See where every role landsWhy Jeruel Global put this together.
We have trained maintenance and reliability teams at Fortune 500 sites across energy, manufacturing, and mining since 2015. Our three phase model — Pre-Course Learning, Classroom Immersion, and Post-Course Consulting — delivers a 94 percent implementation rate against an industry average of 13 percent.
This analysis started with a question our clients kept asking. Which of these roles do we keep training the way we always have, and which ones need something different? There was no good published answer, so we built one.
Before you enter your details.
- Is it really free?
- Yes. No cost, no card, no call required. We publish research because it is how the right people find us.
- How fast does it arrive?
- Usually within a minute. If it has not landed in five, check your spam folder.
- Do I need a technical background to read it?
- No. It is written for the people making workforce and budget decisions, not for data scientists.
- What happens to my details?
- We send you the report, then occasionally send other M&R research and course announcements. One click unsubscribe, any time.
- Where does the data come from?
- Karpathy's US Job Market Visualizer published 15 March 2026, BLS Occupational Outlook Handbook 2024 to 2034 projections, and Anthropic's Labor Market Impacts of AI research. Every source is cited on the final page.
Find out where your team actually sits.
25 pages. 19 roles. Every score explained and sourced. In your inbox in about a minute.