Will AI replace my job?

It depends on your occupation and specific tasks. Computer programmers (75% task coverage), customer service reps (70%), data entry keyers (67%), telemarketers (65%), and proofreaders (63%) face the highest AI displacement risk according to Anthropic's 2026 research. Physical and high-empathy roles like electricians and massage therapists score under 10 out of 100.

Which jobs are most at risk from AI automation in 2026?

The highest-risk occupations by AI task coverage: Computer Programmers (75%), Customer Service Representatives (70%), Data Entry Keyers (67%), Telemarketers (65%), Proofreaders (63%), Tax Preparers (62%), Financial Analysts (60%), Paralegals (58%), Medical Transcriptionists (57%), Bookkeeping Clerks (55%). All data is sourced from Anthropic's Economic Index and O*NET task databases.

Which jobs are safe from AI replacement?

Jobs with very low AI exposure include: Physical Therapists (score 15/100), Chef / Head Cook (12), Electrician (9), Plumber (7), Firefighter (6), Bartender (4), Lifeguard (3), Agricultural Worker (2), Massage Therapist (2). These roles require physical presence, empathy, and real-world dexterity that AI cannot currently replicate.

Is AI causing unemployment in 2026?

As of early 2026, no statistically significant unemployment increase has been found for AI-exposed workers overall. However, Anthropic's research documents a 14% drop in new hiring for workers aged 22–25 entering high-exposure occupations post-ChatGPT. Entry-level white-collar workers are the most affected demographic.

How is the AI job risk score calculated?

The score (0–100) combines three data sources: the O*NET task database (800+ US occupations), the Anthropic Economic Index (real Claude professional usage patterns from Aug/Nov 2025), and Eloundou et al. beta exposure scores. Fully automated use is weighted 1.0× and AI-augmented use is weighted 0.5×. A score of 75+ means AI can handle most of the role's tasks.

Do higher-paid workers face more AI risk?

Yes — this is a reversal of historical automation patterns. Anthropic's 2026 research found that higher-wage occupations, particularly those requiring cognitive and analytical skills, face significantly higher AI exposure than lower-wage physical jobs. Workers in the top wage quartile are 3× more exposed than those in the bottom quartile.

How should I future-proof my career against AI?

The AI Future provides a personalized Career Action Plan after each analysis. It includes three strategies: (1) Stay & Adapt — specializations and skills to build that are AI-resistant; (2) Lateral Moves — adjacent roles with lower AI exposure and similar skill requirements; (3) Bold Pivot — cross-domain career transitions where your current skills translate unexpectedly well. Each plan is generated live by AI using Anthropic's research framework.

Is the AI Future free to use?

Yes, the AI Future is completely free. No account, email, or payment is required. You can analyze any job title and receive a full AI risk report including exposure score, task breakdown, BLS employment outlook, and a personalized Career Action Plan instantly. Available in 9 languages.

AI Future — Will AI Replace Your Job? Free Risk Analyzer 2026

Research-backed AI job displacement risk scores for 800+ occupations based on Anthropic's 2026 Economic Index. Free, instant analysis. Available in English, Hindi, Spanish, French, German, Portuguese, Japanese, Arabic, Chinese.

Which jobs are most at risk from AI?

Computer Programmers, Customer Service Reps, Data Entry Keyers, Telemarketers, Proofreaders, Tax Preparers, Financial Analysts, Paralegals, Medical Transcriptionists have the highest AI exposure scores.

Which jobs are safe from AI?

Electricians, Plumbers, Firefighters, Physical Therapists, Massage Therapists, Lifeguards, Agricultural Workers score below 15 out of 100 and are largely safe from AI displacement.

BASED ON ANTHROPIC 2026 RESEARCH · FREE · NO SIGNUP

Will AI Replace Your Job?

Get your personalized 0–100 AI exposure score for 800+ real occupations in 30 seconds, plus a 3-step Career Action Plan. Free, instant, no signup.

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AI Risk Score

0–100 from real 2026 research

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Task Breakdown

Which tasks AI can & can't take

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Career Action Plan

Skills · Lateral Moves · Bold Pivot

800+

OCCUPATIONS

Free

NO SIGNUP

9 langs

MULTILINGUAL

2026

LATEST RESEARCH

47,312 jobs analyzed

800+

Real occupations scored

75%

of a programmer's tasks — AI-coverable today

14%

hiring drop for grads 22–25 in exposed fields

3×

higher AI risk for top-quartile earners

How Your Score Is Built

800+ occupations, task-by-task

Every score starts with O*NET's task database — 800+ US occupations broken into specific tasks with time-weight estimates from the Dept. of Labor.

Real AI usage patterns, not hypotheticals

We layer in the Anthropic Economic Index: actual Claude usage in professional contexts from Aug and Nov 2025 — real displacement evidence.

Eloundou β scores for task feasibility

Each task is scored by theoretical LLM feasibility (β=1.0 means AI is 2× faster alone; β=0.5 needs tools; β=0.0 is not yet feasible). Weighted and combined.

Risk at a Glance

Click any job to get the full analysis — tasks at risk, BLS outlook, and your career plan.

What the Research Actually Found

No mass unemployment — yet

No statistically significant rise in unemployment for AI-exposed workers as of early 2026. But the early signal is clear in new hiring data.

Young graduates are the first casualty

Workers aged 22–25 entering high-exposure fields show a 14% drop in job-finding rate since ChatGPT — the clearest displacement signal yet.

Higher pay = higher risk (the new reality)

Exposed workers earn 47% more on average. Graduate degrees are 3.9× more common. AI is disrupting white-collar work first — not blue-collar.

Every 10 exposure points costs jobs

Each 10pp of AI task coverage correlates with 0.6pp less projected employment growth (BLS 2024–2034). The signal is slow, but compounding.

This uses real AI usage data — not guesses

Unlike prior models, scores are built from real Claude professional usage in Aug/Nov 2025 — not theoretical task-feasibility models.

60% coverage ≠ 60% job loss

Task bundling is the key insight: if the other 40% requires physical presence, legal accountability, or emotional intelligence — the role survives.

Frequently Asked Questions

Research-backed answers from Anthropic's 2026 labor market study

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