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AI-Proof Jobs: Careers Least Exposed to AI, With Pay and Entry Routes

Not a list somebody's intuition produced. In August 2026 the Bureau of Labor Statistics published an AI exposure category for 831 occupations, next to its own pay and ten-year projections. This page uses that — and lets you look up the job you actually do.

831 occupations classifiedBLS categories, not oursPay and growth on every rowFree · no signup
Quick Answer

Which jobs are most AI-proof?

The jobs least exposed to AI are the ones done with your hands, in a specific place, on a person or a machine — skilled trades, clinical and diagnostic healthcare, therapy, equipment repair and field safety work. On the Bureau of Labor Statistics' own classification, almost no desk job sits in the two lower exposure bands.

That pattern is the finding. If you are looking for a lower-exposure office job, the data is not encouraging — and saying so is more useful than padding the list. Check your own occupation below.

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Your job title

Is my job AI-proof?

Type the job you do — or did. You will get the Bureau of Labor Statistics' own exposure category for it, what the same source projects for the next ten years, and lower-exposure roles that use what you already have.

Or start from a common one

What “AI-proof” means on this page

It means less exposed than other occupations— nothing stronger. Every level on this page is BLS's own “Relative AI exposure” category, copied verbatim. We did not invent the bands, derive them, or rename them, because a page like this assembled from intuition is worth nothing and there is now an official classification covering 831 occupations.

BLS's own words, quoted

The exposure category is relative to other occupations. It does not imply an absolute “high” or “low” level of exposure.

Exposure signifies that AI technology could be or has been used to assist or complete some of the work performed in an occupation. Exposure does not imply job loss, productivity gains, automation probability, or wage effects.

Read that second quote twice, because it is the one that gets lost. Exposure is a measure of overlap between what an occupation does and what AI can do. It is not a prediction that the occupation shrinks. The clearest proof sits inside the same spreadsheet:

Information security analysts

Very highexposure

+21.0%

projected employment change to 2035

Network and computer systems administrators

Very highexposure

-4.1%

projected employment change to 2035

Identical exposure band. Opposite trajectories. Anyone telling you that “high exposure” means your job is going away is contradicted by their own source.

The 46 lower-exposure careers

Every role on this list sits in one of the two lower BLS relative-exposure categories (Low or Moderate) and has positive projected employment growth to 2035. Nothing qualifies by intuition.

Sort by growth, pay or openings. “Entry route” is BLS's own typical-education field — watch for Apprenticeship, which means the training is paid rather than bought.

Sort by

  • Solar photovoltaic installers

    Moderateexposure
    Growth
    +36.5%
    Median pay
    $53,140
    Openings/yr
    4,200

    Entry: High school diploma or equivalent, then moderate-term on-the-job training

  • Wind turbine service technicians

    Moderateexposure
    Growth
    +29.5%
    Median pay
    $64,120
    Openings/yr
    1,500

    Entry: Postsecondary nondegree award, then long-term on-the-job training

  • Physical therapist assistants

    Lowexposure
    Growth
    +23.0%
    Median pay
    $68,380
    Openings/yr
    18,500

    Entry: Associate's degree

  • Psychiatric technicians

    Moderateexposure
    Growth
    +22.3%
    Median pay
    $45,130
    Openings/yr
    17,000

    Entry: Postsecondary nondegree award, then short-term on-the-job training

  • Occupational therapy assistants

    Moderateexposure
    Growth
    +21.5%
    Median pay
    $72,300
    Openings/yr
    8,100

    Entry: Associate's degree

  • Ophthalmic medical technicians

    Lowexposure
    Growth
    +21.4%
    Median pay
    $45,570
    Openings/yr
    11,800

    Entry: Postsecondary nondegree award

  • Physician assistants

    Lowexposure
    Growth
    +21.1%
    Median pay
    $135,880
    Openings/yr
    11,500

    Entry: Master's degree

  • Occupational health and safety technicians

    Moderateexposure
    Growth
    +19.4%
    Median pay
    $61,560
    Openings/yr
    3,800

    Entry: High school diploma or equivalent, then moderate-term on-the-job training

  • Industrial machinery mechanics

    Moderateexposure
    Growth
    +17.8%
    Median pay
    $64,520
    Openings/yr
    44,400

    Entry: High school diploma or equivalent, then long-term on-the-job training

  • Massage therapists

    Lowexposure
    Growth
    +15.3%
    Median pay
    $58,450
    Openings/yr
    20,400

    Entry: Postsecondary nondegree award

  • Diagnostic medical sonographers

    Moderateexposure
    Growth
    +13.9%
    Median pay
    $96,590
    Openings/yr
    6,000

    Entry: Associate's degree

  • Medical assistants

    Moderateexposure
    Growth
    +12.9%
    Median pay
    $45,690
    Openings/yr
    109,700

    Entry: Postsecondary nondegree award

  • Orthotists and prosthetists

    Lowexposure
    Growth
    +12.9%
    Median pay
    $81,110
    Openings/yr
    700

    Entry: Master's degree, then internship/residency

  • Exercise physiologists

    Moderateexposure
    Growth
    +12.8%
    Median pay
    $59,460
    Openings/yr
    1,400

    Entry: Bachelor's degree

  • Athletic trainers

    Moderateexposure
    Growth
    +12.7%
    Median pay
    $62,520
    Openings/yr
    2,400

    Entry: Master's degree

  • Medical equipment repairers

    Moderateexposure
    Growth
    +12.6%
    Median pay
    $61,660
    Openings/yr
    8,200

    Entry: Associate's degree, then moderate-term on-the-job training

  • Heating, air conditioning, and refrigeration mechanics and installers

    Moderateexposure
    Growth
    +10.9%
    Median pay
    $61,010
    Openings/yr
    40,600

    Entry: Postsecondary nondegree award, then long-term on-the-job training

  • Mental health and substance abuse social workers

    Moderateexposure
    Growth
    +10.3%
    Median pay
    $60,280
    Openings/yr
    12,500

    Entry: Master's degree, then internship/residency

  • Electrical power-line installers and repairers

    Lowexposure
    Growth
    +10.3%
    Median pay
    $95,320
    Openings/yr
    10,900

    Entry: High school diploma or equivalent, then long-term on-the-job training

  • Nurse anesthetists

    Lowexposure
    Growth
    +9.7%
    Median pay
    $236,590
    Openings/yr
    2,400

    Entry: Master's degree

  • Electrical and electronics repairers, powerhouse, substation, and relay

    Moderateexposure
    Growth
    +9.7%
    Median pay
    $103,020
    Openings/yr
    1,800

    Entry: Postsecondary nondegree award, then moderate-term on-the-job training

  • Optometrists

    Lowexposure
    Growth
    +9.5%
    Median pay
    $136,570
    Openings/yr
    2,000

    Entry: Doctoral or professional degree

  • Veterinary technologists and technicians

    Moderateexposure
    Growth
    +9.4%
    Median pay
    $47,380
    Openings/yr
    13,400

    Entry: Associate's degree

  • Avionics technicians

    Moderateexposure
    Growth
    +9.4%
    Median pay
    $82,280
    Openings/yr
    1,700

    Entry: Postsecondary nondegree award

  • Electricians

    Moderateexposure
    Growth
    +9.2%
    Median pay
    $63,190
    Openings/yr
    72,700

    Entry: High school diploma or equivalent, then apprenticeship

  • Chiropractors

    Moderateexposure
    Growth
    +8.7%
    Median pay
    $79,200
    Openings/yr
    2,600

    Entry: Doctoral or professional degree

  • Respiratory therapists

    Lowexposure
    Growth
    +8.5%
    Median pay
    $82,280
    Openings/yr
    8,600

    Entry: Associate's degree

  • Airline pilots, copilots, and flight engineers

    Moderateexposure
    Growth
    +8.3%
    Median pay
    $232,140
    Openings/yr
    11,200

    Entry: Bachelor's degree, then moderate-term on-the-job training

  • Semiconductor processing technicians

    Moderateexposure
    Growth
    +8.2%
    Median pay
    $51,430
    Openings/yr
    3,400

    Entry: High school diploma or equivalent, then moderate-term on-the-job training

  • Dental hygienists

    Lowexposure
    Growth
    +8.0%
    Median pay
    $98,100
    Openings/yr
    15,000

    Entry: Associate's degree

  • Magnetic resonance imaging technologists

    Moderateexposure
    Growth
    +7.7%
    Median pay
    $95,480
    Openings/yr
    2,300

    Entry: Associate's degree

  • Dental assistants

    Lowexposure
    Growth
    +7.4%
    Median pay
    $48,070
    Openings/yr
    53,000

    Entry: Postsecondary nondegree award

  • Phlebotomists

    Lowexposure
    Growth
    +6.8%
    Median pay
    $45,230
    Openings/yr
    18,000

    Entry: Postsecondary nondegree award

  • Plumbers, pipefitters, and steamfitters

    Moderateexposure
    Growth
    +6.8%
    Median pay
    $63,800
    Openings/yr
    42,000

    Entry: High school diploma or equivalent, then apprenticeship

  • Security and fire alarm systems installers

    Moderateexposure
    Growth
    +6.8%
    Median pay
    $60,070
    Openings/yr
    8,500

    Entry: High school diploma or equivalent, then moderate-term on-the-job training

  • Mobile heavy equipment mechanics, except engines

    Lowexposure
    Growth
    +6.7%
    Median pay
    $65,510
    Openings/yr
    15,000

    Entry: High school diploma or equivalent, then long-term on-the-job training

  • Surgical assistants

    Lowexposure
    Growth
    +6.1%
    Median pay
    $66,800
    Openings/yr
    1,400

    Entry: Postsecondary nondegree award

  • Paramedics

    Lowexposure
    Growth
    +5.7%
    Median pay
    $60,600
    Openings/yr
    4,300

    Entry: Postsecondary nondegree award

  • Elevator and escalator installers and repairers

    Lowexposure
    Growth
    +5.7%
    Median pay
    $109,910
    Openings/yr
    1,900

    Entry: High school diploma or equivalent, then apprenticeship

  • Aircraft mechanics and service technicians

    Lowexposure
    Growth
    +5.4%
    Median pay
    $79,870
    Openings/yr
    11,400

    Entry: Postsecondary nondegree award

  • Radiologic technologists and technicians

    Moderateexposure
    Growth
    +5.0%
    Median pay
    $80,110
    Openings/yr
    13,000

    Entry: Associate's degree

  • Surgical technologists

    Lowexposure
    Growth
    +5.0%
    Median pay
    $64,650
    Openings/yr
    7,100

    Entry: Postsecondary nondegree award

  • Recreational therapists

    Moderateexposure
    Growth
    +4.8%
    Median pay
    $61,960
    Openings/yr
    1,400

    Entry: Bachelor's degree

  • Licensed practical and licensed vocational nurses

    Lowexposure
    Growth
    +3.0%
    Median pay
    $64,400
    Openings/yr
    51,800

    Entry: Postsecondary nondegree award

  • Clinical laboratory technologists and technicians

    Moderateexposure
    Growth
    +2.7%
    Median pay
    $62,930
    Openings/yr
    20,800

    Entry: Bachelor's degree

  • Welders, cutters, solderers, and brazers

    Lowexposure
    Growth
    +2.4%
    Median pay
    $53,750
    Openings/yr
    40,300

    Entry: High school diploma or equivalent, then moderate-term on-the-job training

Showing 46 of 46 occupations. Exposure categories, projections, wages and entry routes are all the Bureau of Labor Statistics'; the grouping into categories is ours.

The jobs people assume are AI-proof, but aren't

This is the most useful section here if you came looking for reassurance. Every one of these is a job that regularly gets named as safe, and every one of them BLS puts in a higher band. That does not mean they are bad careers — several are growing fast. It means the intuition people use to judge AI risk is unreliable, which is the argument for checking rather than assuming.

Registered nurses

Highexposure+5.6% to 2035

Nursing is the job people name first when asked what AI cannot do. BLS puts it in the second-highest band — not because a model can take a blood pressure, but because so much of the recorded work is assessment, documentation and care planning.

Information security analysts

Very highexposure+21.0% to 2035

Cybersecurity is the standard advice for a laid-off technologist looking for safety. It is in the highest exposure band — and growing 21.0%. Both facts are true at once, which is the clearest illustration on this page that exposure is not decline.

Lawyers

Very highexposure+4.7% to 2035

Law is supposed to be protected by judgement and liability. BLS places it in the highest band, and the Eloundou beta agrees. The liability argument protects the licence, not the hours.

General and operations managers

Highexposure+5.0% to 2035

Management is widely assumed to be safe because it is about people. BLS puts general and operations managers in the second-highest band.

Occupational health and safety specialists

Highexposure+18.5% to 2035

Compliance and safety work looks unautomatable until you separate the desk from the site. The specialist role sits a whole band above the technician role that does the same work in person.

Jobs most exposed to AI

BLS places most office and computer-based occupations in its highest band — software development, accounting, paralegal work, customer service, technical writing, graphic design and administrative roles among them. Which specific tasks are driving each one, and what to do if you are in one, is covered in full on its own page rather than repeated here.

Jobs replaced by AI: the most exposed roles

Laid off because of AI? What to do next

The mistake is treating this as one decision. It is two, running on different clocks: what you do for money over the next few months, and what you retrain into over the next few years. Deciding them together is what leads people to enrol in something expensive in week three.

  1. 1

    Work out your runway before you choose a target

    A pivot needing a master's degree is a different decision at three months of savings than at twelve. The number decides which of these roles is even available to you, so get it first.

    Runway calculator
  2. 2

    Keep searching in your existing field while you decide

    The job you take now funds the retraining you start later, and a role in your old field is still the fastest money available to you. Retraining is rarely a reason to stop searching.

    Find out why your search is stalling
  3. 3

    Settle how you will describe what happened

    “My role was automated” is a harder sentence to say well than a general layoff, and the wrong version invites the question of whether you were the automatable one. Get the wording settled before the first interview.

    Layoff explanation generator
  4. 4

    Pick one target role and cost it locally

    This page gives you the national entry route. What it cannot tell you is what the programme near you costs, how long it runs, or whether it has a waiting list. That is one afternoon of phone calls and it changes everything.

    Career Pivot Fit Finder
  5. 5

    Check whether a shorter credential gets you most of the way

    Several roles on this list are entered through a postsecondary award or a paid apprenticeship rather than a degree. The gap between those two routes is usually years and tens of thousands of dollars.

    Certifications after a tech layoff

India note

How this reads differently in India

The figures above are US occupations with US projections. They are not Indian figures, and converting the pay to rupees would be meaningless — a median wage reflects a national labour market, not an exchange rate.

What the international evidence does say is that exposure rises with country income. The International Labour Organization's global index finds roughly 11% of employment in low-income countries falls into an exposure gradient, against 34% in high-income countries, because the clerical, financial and customer-service roles that are most exposed are concentrated in richer economies. The ILO publishes no India-specific exposure figure, so neither do we.

The place that matters most for Indian readers is the global capability centre. NASSCOM and Zinnov put India's GCC sector at 2,117 GCCs employing about 2.36 million people as of FY2026, with more than 1,200 of them already running AI or machine learning capability. That is simultaneously where a great deal of exposed work sits and where the oversight roles are being created.

If you are job searching in India after a layoff, the practical guide is Job search after a layoff in India.

Methodology

Where the exposure levels come from

All of them are the Bureau of Labor Statistics' “Relative AI exposure” field, published on 2026-08-27 with its 2025–35 employment projections and copied here verbatim. BLS built the categories by combining five published studies — Felten, Raj and Seamans; Eloundou, Manning, Mishkin and Rock; Eisfeldt, Schubert, Taska and Zhang; Massenkoff and McCrory at Anthropic; and Tomlinson and colleagues at Microsoft — taking median percentile ranks within the theoretical and the observed families, then running a clustering algorithm over the result. Clustering, not quartiles: the four groups come out near-equal in size, but the method is not a percentile split and describing it as one would misstate it.

Why there is no definition of “Moderate” or “High”

Because BLS does not publish one. It defines only Low and Very high in prose; Moderate and High are the two intermediate clusters. Writing definitions for them would mean inventing them, so this page quotes the two that exist and says nothing about the two that do not.

How the list was selected

Mechanically. Every role on this list sits in one of the two lower BLS relative-exposure categories (Low or Moderate) and has positive projected employment growth to 2035. Nothing qualifies by intuition.Occupations were then grouped into the seven categories used above, which is our editorial layer, and nothing was added or removed on the strength of how safe it sounds. That is why registered nurses do not appear on the list despite being the job people name first — BLS puts nursing in the second-highest band, and the “surprises” section exists to say so rather than quietly dropping the row.

Pay, growth and entry routes

Median annual wages are BLS Occupational Employment and Wage Statistics for May 2025. Projected employment change and annual openings are BLS Employment Projections for 2025–35. “Entry route” is BLS's own “typical education needed for entry” and “typical on-the-job training” fields, quoted rather than estimated. None of these is a statement about a particular programme, employer or region.

The Eloundou column

Where the tool shows a second figure, it is the beta measure from Eloundou, Manning, Mishkin and Rock — the share of an occupation's tasks a language model could halve the time on, counting app-mediated exposure at half weight. It is the authors' central estimate. Treat it as texture behind the BLS band rather than an independent check: BLS used that same paper as one of its five inputs, so the two are not fully independent and we would rather say so than imply corroboration.

What is ours

Three things, all labelled where they appear: the category groupings, the selection of which occupations to list, and the suggested lower-exposure roles in the tool. That last one is a judgement about transferable skills, not a BLS crosswalk, and the tool says so on the result rather than in a footnote.

Related LayoffNext Tools

Keep the momentum going with the tools people use most alongside this guide.

Career Pivot PlannerExplore realistic pivot paths and a 30-day transition plan.Open Layoff Risk CalculatorGauge your exposure and prepare before anything is announced.Open Layoff Runway CalculatorSee how many months your savings can cover expenses.Open Job Application TrackerTrack applications, stages, and follow-ups in one place.Open Build My Layoff PlanAnswer a few questions and get a personalized, ordered action plan.Open Alumni & ERG NetworkFind alumni communities and referral paths from your old employer.Open

Frequently asked questions

What are the most AI-proof jobs?+
On the Bureau of Labor Statistics' own classification, the occupations least exposed to AI are overwhelmingly ones done with your hands, in a specific place, on a person or a machine: skilled trades, clinical and diagnostic healthcare, therapy and rehabilitation, equipment repair, and field safety work. This page lists 46 of them that also have positive projected employment growth to 2035. Almost no desk job qualifies, and that pattern is the finding rather than a gap in the list.
Is any job truly AI-proof?+
No, and BLS does not claim otherwise. Its categories measure exposure relative to other occupations, not absolute safety, and BLS states plainly that exposure “does not imply job loss, productivity gains, automation probability, or wage effects”. “AI-proof” on this page means an occupation sits in one of the two lower relative-exposure bands. It is a comparison, not a guarantee.
Does high AI exposure mean my job is disappearing?+
No, and the data contradicts that reading directly. Information security analysts sit in the highest exposure band and are projected to grow 21.0% to 2035. Network and computer systems administrators sit in the same band and are projected to fall 4.1%. Same exposure, opposite trajectories — because exposure describes how much of the work overlaps with what AI can do, not whether the occupation is shrinking.
Which jobs are most exposed to AI?+
BLS places most office and computer-based occupations in its highest band, including software developers, accountants, paralegals, customer service representatives, technical writers, graphic designers and administrative roles. Our guide to the roles most exposed goes through which specific tasks are driving it and what to do about it, using the same BLS classification plus the underlying research.
I was laid off because of AI. What should I do first?+
Separate the two clocks before you do anything else. Your money has one timeline and your retraining has another, and a pivot that needs two years of study is a different decision when your runway is three months than when it is twelve. Work out the runway first, keep searching in your existing field while you decide, and only then pick a target role — because the search you run today funds the retraining you start later.
Are trades really safer from AI than tech jobs?+
On this classification, consistently yes. Every skilled trade on this list sits in the Low or Moderate band, while nearly every computer occupation sits in the highest one. The reason is not that trades are simple — it is that they happen in non-standard physical environments where each job differs, and current systems are weakest exactly there. Pay is not a trade-off either: several trades here pay above $95,000 at the median.
How long does it take to retrain into one of these roles?+
It varies enormously and this page deliberately does not guess. What each row does show is the Bureau of Labor Statistics' own “typical education needed for entry” and “typical on-the-job training” for that occupation — so you can see which need a master's degree, which need a postsecondary award, and which are entered through a paid apprenticeship. What a specific programme near you costs and how long it runs is a local question, and the honest answer is to go and ask.
Is AI exposure the same in India as in the United States?+
No. The International Labour Organization's global exposure index finds that exposure rises with country income: about 11% of employment in low-income countries falls into an exposure gradient, against 34% in high-income countries, because the clerical, financial and customer-service roles that are most exposed are concentrated in richer economies. The BLS figures on this page are US occupations with US projections and should not be read as Indian ones.

Sources & methodology

Every exposure category, wage, projection and entry route on this page was read from the Bureau of Labor Statistics files linked below and is reproduced verbatim. The category groupings, the selection rule, and the suggested adjacent roles in the tool are LayoffNext's editorial layer and are labelled as such wherever they appear.

  1. AI exposure categories and 2025–35 employment projections — U.S. Bureau of Labor Statistics, Employment Projections programThe relative AI exposure category for all 831 occupations, the methodology behind them, and BLS's statement that exposure is relative and does not imply job loss. · Last verified Sep 16, 2026
  2. Occupational Employment and Wage Statistics, May 2025 — U.S. Bureau of Labor StatisticsMedian annual wages for every occupation shown. · Last verified Sep 16, 2026
  3. Employment Projections, 2025–35 — U.S. Bureau of Labor StatisticsProjected employment change 2025–35, annual openings, typical entry education and typical on-the-job training. · Last verified Sep 16, 2026
  4. Eloundou, Manning, Mishkin & Rock, "GPTs are GPTs: Labor market impact potential of LLMs" — Science 384(6702), 2024The beta task-exposure measure shown as a second figure in the tool, and one of the five studies BLS combined. · Last verified Sep 16, 2026
  5. Generative AI and Jobs: A Refined Global Index of Occupational Exposure (ILO Working Paper 140) — International Labour OrganizationThat exposure rises with country income — about 11% of employment in low-income countries against 34% in high-income countries. · Last verified Sep 16, 2026
  6. GCC Landscape in India 2026 — nasscom & Zinnov2,117 global capability centres in India employing about 2.36 million people as of FY2026, with more than 1,200 running AI or ML capability. · Last verified Sep 16, 2026

Important note

This page is educational and is not career, financial, or legal advice. The exposure categories are a national statistical classification, not a prediction about any individual job, employer or region, and BLS states plainly that exposure does not imply job loss. Projections are ten-year national estimates and BLS itself notes that the precise effect of new technology a decade out cannot be predicted with precision. Do your own local research before committing money or years to a retraining path.

Deepak Middha, Founder of LayoffNext
Founder of LayoffNext

Deepak Middha is the founder of LayoffNext and a Chartered Accountant (ICAI, India). A U.S. immigrant with nearly 20 years of experience — and 17 years in hedge fund and private equity administration, including as Vice President of Fund Accounting at NAV Fund Administration Group and Associate Director of Private Equity and Real Estate at SS&C Technologies — he builds free, plain-language layoff tools and guides for employees, H-1B workers, and immigrant families.

Published September 17, 2026Updated September 17, 2026
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