Will AI Replace My Job? Check Your Job’s AI Exposure

Will AI replace my job? This free lookup answers with official data instead of guesses. Type any of 785 jobs to see its BLS AI exposure rating, the work where people already use AI, the parts that stay mostly human, and the official pay and 10-year job outlook.

It combines the AI exposure categories the U.S. Bureau of Labor Statistics (BLS) published with its 2025 to 2035 job projections and Microsoft Research’s study of 200,000 Bing Copilot conversations. Every number links back to its source.

How to use it

1. Type your job, such as “accountant”, “nurse” or “software engineer”, and pick the closest match.
2. Read the BLS exposure rating and the short answer, which puts it next to the BLS 10-year outlook.
3. Compare the two lists: where AI already helps, and the work people rarely hand to AI.
4. Use “What to do next” to plan your skills, and copy the link to share your result or come back to it.

What the numbers mean

• BLS relative AI exposure (Low, Moderate, High or Very high). BLS combined five research measures, three based on what AI could do and two based on real AI use (from Anthropic and Microsoft), then grouped every occupation into four categories. It compares jobs with each other. It is not a forecast.
• Microsoft AI applicability score. Microsoft researchers matched 200,000 anonymized US Bing Copilot conversations from 2024 to the work activities in each job, and weighted them by how often and how well AI helped. Scores run from 0 to about 0.49 (interpreters and translators, the top job).
• Work activities with AI use. The share of a job’s main work activities that showed up in those conversations.
• BLS outlook. The projected change in the number of jobs from 2025 to 2035, in BLS’s own words. Across all jobs, BLS projects growth of 3.5%.

Will AI replace accountants, lawyers, nurses or programmers?

Here is how some of the most searched jobs compare. High exposure and job growth often go together: the work changes, but demand holds.

For 43 of these jobs, BLS names AI as a factor in its projections. Sometimes it raises demand, as for computer and information research scientists. More often it lowers the number of workers needed, as for customer service representatives, computer programmers and paralegals. When that is the case, the lookup quotes BLS’s own words.

Exposure is not job loss

Both sources are clear about this. BLS says its exposure categories do not imply job loss, productivity gains, automation probability or wage effects. The Microsoft researchers say their data should not be read as AI’s ability to replace jobs. A job is more than a list of tasks, and people adopt AI unevenly.

What high exposure does tell you: parts of the work are already changing, and the people who learn to use AI well, and to check its output, tend to get ahead. Low exposure usually means hands-on, in-person work, though even there AI often shows up in the paperwork around it.

How to make your job harder to replace

• Get good at the tasks AI already helps with. That is where expectations at work rise first.
• Double down on the human parts: judgment, relationships, hands-on skill and being accountable for the result.
• Learn the basics properly. Our guide to AI prompting covers it without jargon, and a beginner certification shows it on a resume: see AI certifications for beginners or which AI certification fits your role.
• Know your options. Browse remote AI jobs, and see AI training jobs where experience in your field can pay by the hour.

Related on HOW TO // AI

• AI-proof jobs finder: filter careers by AI exposure, pay and growth.
• Remote AI jobs: live openings at AI companies, with free Monday alerts.
• AI training jobs: flexible, hourly work rating and writing AI answers.
• Job scam checker: check any job offer before you share personal details.

Checked against the BLS AI exposure categories, BLS Employment Projections 2025 to 2035 (Tables 1.2 and 1.12) and Microsoft Research’s Working with AI data (v1.1) on October 18, 2026.