Workers are worried about AI, and nobody is teaching them to use it
of workers say they have the training and resources they need to use AI in their jobs, down from 45% a year earlier. 56% say their employer hasn't consulted them about how AI tools are used in their work.
Jobs for the Future, survey of 3,020 people, Nov 28 – Dec 8, 2025
of lower-wage workers would take part in free training if it were offered. 49% think they could lose their job to AI in the future.
HarrisX for Merit America, workers earning under $50k, Oct 28 – Nov 11, 2025 (n=1,000 national; 3,048 with regional oversamples)
The share of workers worried that AI could cost them their own job doubled, from 5% to just over 10%, in one year. 60% expect AI-related layoffs or fewer workers in their industry.
Boston Fed analysis of the New York Fed's Survey of Consumer Expectations, Dec 2024 vs Dec 2025
From “your job is exposed” to “here's what to do on Monday”
Existing AI-exposure tools measure risk at the job-title level. They tell you how exposed you are, not what to do about it.
| Typical AI risk-score tools | Task by Task | |
|---|---|---|
| Unit of analysis | Job title | Each of the job's real tasks (O*NET) |
| What you get | A score or exposure band | A playbook: which tasks to use AI on, and how |
| Something to try | No | A copy-ready prompt and a 10-minute exercise per task |
| What stays human | Rarely shown | Flagged per task, with why it's worth leaning into |
| Your actual title | Pick the closest match | 48,000+ job titles searchable, prompts rewrite to your title |
| Cost | Often free | Free, no sign-up |