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The Displacement Atlas · Updated April 2026

55 jobs. One score.
The map vendors don't show you.

Every upskilling vendor sells the same line: "AI is changing work, train everyone." This atlas shows what they're hiding — that the risk distribution across roles is wildly uneven, and 70% of the urgency lives in 20% of the roles.

Critical · 80–100
High · 60–79
Moderate · 40–59
Low · 0–39
Showing all 55 roles
Methodology

Six factors. One score.
No vendor magic.

Each role gets a 0–100 displacement risk score derived from six weighted factors. We publish the methodology because most "AI workforce risk" reports don't, and that's because they're guesses dressed as data. This is also a guess — but a well-instrumented, well-sourced one. Treat the scores as relative ordering, not gospel.

01
Task decomposability
How much of the role is pattern-matching, classification, or template work that LLMs already do well.
02
Tool adoption velocity
How fast AI tools are being shipped into this role's industry. Faster shipping = faster displacement.
03
Real-world layoff data
Layoffs explicitly attributed to AI/automation in this job category over the past 18 months.
04
Defensive moats
Customer trust, physical presence, regulatory gatekeeping. The harder the moat, the lower the score.
05
Reskilling adjacency
How close the role sits to safer adjacent roles. High adjacency = easier transition, lower urgency.
06
Time-to-impact
12 months vs 5 years vs probably-safe. Critical for sequencing your transition plan.

Want this run on your actual workforce?

The atlas scores generic role categories. For your specific roles, your seniority bands, your industry — book a Workforce Risk Assessment. 72-hour turnaround.

Book a discovery call →