How many jobs are at high risk from AI?

In our dataset of US careers, roughly a third score in the high-risk band (65–100) for AI replacement exposure. High risk means most of the task mix is automatable — not that the occupation disappears.

Is AI actually causing job losses today?

The visible effect so far is hiring slowdowns and smaller teams in text- and ticket-heavy functions rather than mass layoffs attributed directly to AI. Exposure metrics predict pressure; they are not a count of jobs already lost.

Which industries are most exposed to AI?

Administrative, clerical, media production and routine analysis functions carry the highest average exposure. Skilled trades, hands-on healthcare and emergency services carry the lowest.

Where do these statistics come from?

They are computed live from our own career database, which combines task-level automation assessments with US salary and 10-year employment projections. Our methodology page documents the scoring inputs.

AI job loss data

AI job loss statistics: exposure across 2,556 US careers

Most AI job loss headlines quote a single number. We publish the distribution instead: how many US careers fall into each AI risk band, which industries carry the highest average exposure, and how much of the average job is automatable today.

Figures are computed live from our career database. Read the methodology.

Key AI job risk statistics (2026)

Careers analyzed: 2,556
High AI risk (65–100): 319 · 12%
Moderate risk (35–64): 623 · 24%
Low risk (0–34): 1,614 · 63%
Average AI Risk Score: 30/100
Average automatable task share: 45%

Average AI risk by industry category

Average AI replacement risk score by career category
Category	Careers	Average AI risk
Business & Finance	413	44/100
Service, Transport & Creative	534	40/100
Technology	461	31/100
Education, Legal & Public Safety	421	23/100
Healthcare	378	22/100
Skilled Trades	333	17/100
Science	16	16/100

What these numbers do — and do not — mean

Exposure is not extinction

A high score means a large share of today's tasks are automatable. Historically that reshapes a role and shrinks headcount long before it removes the occupation.

Averages hide specialization

Two people with the same job title can face very different exposure depending on how routine their actual work is. Use the individual career page, not the category average.

Estimates, updated over time

These are modeled estimates from task analysis and public US employment projections — not measured layoffs. We revise scores as capabilities and data change.

AI job loss: common questions

How many jobs are at high risk from AI?: In our dataset of US careers, roughly a third score in the high-risk band (65–100) for AI replacement exposure. High risk means most of the task mix is automatable — not that the occupation disappears.
Is AI actually causing job losses today?: The visible effect so far is hiring slowdowns and smaller teams in text- and ticket-heavy functions rather than mass layoffs attributed directly to AI. Exposure metrics predict pressure; they are not a count of jobs already lost.
Which industries are most exposed to AI?: Administrative, clerical, media production and routine analysis functions carry the highest average exposure. Skilled trades, hands-on healthcare and emergency services carry the lowest.
Where do these statistics come from?: They are computed live from our own career database, which combines task-level automation assessments with US salary and 10-year employment projections. Our methodology page documents the scoring inputs.

Statistics are averages. Get your number.

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