Will AI replace Training and Development Specialists?
On paper, AI could touch ~55% of the work in Training and Development Specialists — and unlike most jobs, it's already showing up in the real workday, not just the theory.
O*NET-SOC 13-1151
How your 18 core tasks split
Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.
Back in 2023, GPT-4 judged AI could, in theory, assist with a moderate share of this job's tasks (~55%). By late 2025, real-world AI use had reached about 28% of its task activity (already common). The gap between that 2023 forecast and today is the real story.
Where this job sits among 738 jobs
Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.
Don't trust a single AI-risk score here
For this job, the signals disagree sharply. AI's theoretical reach looks moderate (~55%), but real-world use is only ~28%, and how much AI "can" do shifts wildly by model — one 2026 study found the share of "high-risk" jobs swung 2.7% to 51.5% just by changing which AI did the rating. This page shows the spread instead of pretending there's one number.
See all 18 tasks, ratedBased on real task-level AI scores — click to collapse
- Obtain, organize, or develop training procedure manuals, guides, or course materials, such as handouts or visual materials.
- Evaluate training materials prepared by instructors, such as outlines, text, or handouts.
- Present information with a variety of instructional techniques or formats, such as role playing, simulations, team exercises, group discussions, videos, or lectures.
- Evaluate modes of training delivery, such as in-person or virtual, to optimize training effectiveness, training costs, or environmental impacts.
- Offer specific training programs to help workers maintain or improve job skills.
- Assess training needs through surveys, interviews with employees, focus groups, or consultation with managers, instructors, or customer representatives.
- Monitor, evaluate, or record training activities or program effectiveness.
- Design, plan, organize, or direct orientation and training programs for employees or customers.
- Develop alternative training methods if expected improvements are not seen.
- Monitor training costs and prepare budget reports to justify expenditures.
- Devise programs to develop executive potential among employees in lower-level positions.
- Keep up with developments in area of expertise by reading current journals, books, or magazine articles.
- Attend meetings or seminars to obtain information for use in training programs or to inform management of training program status.
- Coordinate recruitment and placement of training program participants.
- Select and assign instructors to conduct training.
- Negotiate contracts with clients for desired training outcomes, fees, or expenses.
- Supervise, evaluate, or refer instructors to skill development classes.
- Schedule classes based on availability of classrooms, equipment, or instructors.
- ⚠️ None — every core task is at least partly within AI's reach. The job won't vanish, but almost all of it changes.
How we measured this — and how fresh it is
AI's theoretical reach data: 2023
From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.
Real-world AI use 2026 report
From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).
Task list & ratings O*NET 30.3
Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.
Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.
This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.