AI-Proof Jobs Finder

Looking for AI-proof jobs? This free finder shows how exposed 150 common US jobs are to AI, using the Bureau of Labor Statistics’ new AI exposure categories (published August 27, 2026) and Microsoft Research’s AI applicability scores, next to median pay and projected job growth through 2035. Look up your own job, or filter for the careers that are least exposed.

No job is completely AI-proof, and exposure is not the same as job loss. But the data shows clear patterns in which kinds of work AI overlaps with most, and which it barely touches.

Free career finder

How exposed is your job to AI?

Look up 150 common jobs to see how exposed each one is to AI, using the U.S. Bureau of Labor Statistics' new AI exposure categories and Microsoft Research's AI applicability scores, next to pay and 10-year job growth. Or filter for the careers that are least exposed.

Start typing, then pick the closest match. Common names work too, like CNA, realtor or HVAC.

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    Exposure is not job loss. BLS says its exposure categories are not forecasts of job decline, wages or replacement, and Microsoft says its scores should not be read as measuring AI's ability to replace jobs. Education only, not career advice.

    Sources: BLS AI exposure categories and 2025 to 2035 projections data (published August 27, 2026), BLS Table 1.12, and Microsoft Research, Working with AI (scores data v1.1, CC BY 4.0). Percentile ranks are our calculation from Microsoft's scores. Checked October 18, 2026.

    How to use the AI-proof job finder

    1. Look up a job. Type a title and pick the closest match. Everyday names work too, like CNA, realtor or HVAC.
    2. Read the BLS exposure group first (Low, Moderate, High or Very high), then the Microsoft score for a finer ranking.
    3. Check growth and pay. A job can be highly exposed to AI and still be growing.
    4. Find low-exposure careers. Filter by the kind of work you want, the education you have or will get, and a pay floor.
    5. Not on the list? The quick self-check shows where your own mix of work points.

    Which jobs are safe from AI? What the data says

    In August 2026 the Bureau of Labor Statistics (BLS) published AI exposure categories for every occupation it projects. BLS combined five research sources, three that estimate what AI could do and two based on observed AI use (from Anthropic’s Claude and Microsoft’s Copilot), and sorted jobs into four groups. BLS describes “Low” as jobs whose requirements don’t match well with current AI capabilities, where AI hasn’t been seen doing many of the tasks. “Very high” means a larger share of the tasks can be done or assisted by AI, and AI has been seen doing some of them.

    Microsoft Research’s study analyzed 200,000 anonymized Bing Copilot conversations and scored how applicable AI is to each occupation’s work. It found the most common and successful AI-assisted activities are information work: creating, processing and communicating information. Scores run from 0 to about 0.49, so we also show where each job ranks among the 785 occupations in the study.

    The pattern is consistent: hands-on trades, in-person care and physical work sit at the low end, while writing, translating, customer service and sales sit at the high end.

    AI-proof jobs that are still growing

    These jobs from our finder are all in the BLS Low AI exposure group and are projected to grow faster than the 3.5% average for all jobs from 2025 to 2035.

    JobProjected growth, 2025 to 2035Median pay, 2025Typical education to enter
    Physical therapist assistants+23%$68,380Associate’s degree
    Physician assistants+21.1%$135,880Master’s degree
    Massage therapists+15.3%$58,450Postsecondary nondegree award
    Electrical power-line installers and repairers+10.3%$95,320High school diploma
    Nurse anesthetists+9.7%$236,590Master’s degree
    Respiratory therapists+8.5%$82,280Associate’s degree
    Dental hygienists+8%$98,100Associate’s degree
    Dental assistants+7.4%$48,070Postsecondary nondegree award
    Phlebotomists+6.8%$45,230Postsecondary nondegree award
    Elevator and escalator installers and repairers+5.7%$109,910High school diploma
    Paramedics+5.7%$60,600Postsecondary nondegree award
    Aircraft mechanics and service technicians+5.4%$79,870Postsecondary nondegree award

    Electricians, plumbers and HVAC technicians are one step up, in the Moderate group, and are also projected to grow faster than average.

    The jobs most exposed to AI

    At the other end, the highest Microsoft scores in our finder belong to interpreters and translators (0.49), writers and authors (0.45), customer service representatives (0.41), telemarketers (0.40) and technical writers (0.37). All are in the BLS Very high group.

    BLS expects office and administrative support jobs to shrink 4.0% from 2025 to 2035, the fastest decline of any major job group, partly because of automation tools, including AI. In its projection notes, BLS names AI as a reason for lower demand for customer service representatives, data entry keyers and medical transcriptionists, among others.

    But high exposure doesn’t always mean fewer jobs. Data scientists are in the Very high group and are still projected to grow 34.6%, one of the 10 fastest rates of any occupation, because BLS expects them to be needed to develop, improve and use these technologies.

    Exposure is not job loss

    • BLS: an exposure category is not a forecast of job growth or decline, wages or worker replacement, and “Low” doesn’t mean a job is safe from future change.
    • Microsoft: its scores should not be read as measuring AI’s ability to replace jobs. They show what people use AI for and how well it works.
    • The AI in the data is already dated. BLS notes the theoretical sources reflect AI capabilities up to mid-2023, and Microsoft’s conversations are from January to September 2024.
    • Scores are built from tasks. Both sources score a job by its individual tasks or work activities, so most jobs have some tasks AI overlaps with and some it doesn’t. Learning to use AI for the overlapping part is usually the practical move.

    If you’d rather work with AI than around it, our remote AI jobs board lists open roles at AI companies, many with no coding needed, and sends free weekly AI job alerts every Monday.

    Related on HOW TO // AI

    Checked against the BLS AI exposure categories, the BLS 2025 to 2035 Employment Projections and Microsoft Research’s Working with AI data on October 18, 2026.

    Frequently asked questions

    What jobs are safe from AI?

    No job is completely safe, but jobs in the BLS Low AI exposure group are mostly hands-on, physical and in-person care work, such as nursing assistants, dental hygienists, roofers, paramedics and power-line installers. Several of them, like physician assistants and physical therapist assistants, are also projected to grow fast through 2035.

    What jobs will AI replace?

    Neither BLS nor Microsoft predicts which jobs AI will replace. BLS does project office and administrative support jobs to shrink 4.0% from 2025 to 2035, partly because of AI-powered automation, and names AI as a reason for lower demand for customer service representatives, data entry keyers and medical transcriptionists.

    Will AI take my job?

    Look up your job title in the finder to see its BLS exposure group, Microsoft score, pay and projected growth. High exposure means AI overlaps with many of your tasks, not that the job disappears: data scientists are in the Very high group and are still projected to grow 34.6%.

    What is the BLS AI exposure category?

    It is a four-level ranking (Low, Moderate, High, Very high) that BLS published in August 2026. It combines three theoretical AI exposure measures and two measures of observed AI use, and it compares jobs to each other rather than predicting job losses.

    Where does this data come from?

    Exposure groups, pay, growth and education come from the Bureau of Labor Statistics 2025 to 2035 Employment Projections. AI applicability scores come from Microsoft Research's 2025 Working with AI study, which analyzed 200,000 anonymized Bing Copilot conversations.

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