Cognitive work is automated faster than people can move; unemployment exceeds 10% in advanced economies.
Probability this branch occurs by 2030
15–30%
15–30%
1 revision · 0/2 tripwires crossed
The scenario
Entry-level knowledge work disappears first, then mid-level analysis, then management layers whose job was coordinating the people who left. Consumer demand falls, which slows the very investment driving the change. Politics turns on AI within one election cycle.
Preconditions
Agents reliable enough for unsupervised knowledge work
Employers restructure rather than augment
Retraining capacity far below displacement rate
Leading indicators
Youth unemployment in AI-exposed fields
Job postings for entry-level analyst, developer, paralegal roles
Layoff announcements citing AI
Tripwires
Observable thresholds. When one crosses, the scenario's status changes and the weekly re-run is brought forward.
clearwcu-t1
Unemployment among 22–30-year-old graduates exceeds 10% in the US
clearwcu-t2
A Fortune 500 company cuts more than 20% of white-collar headcount citing AI
Playbook
Prevent
Wage insurance; shorter-week experiments; retraining tied to actual demand
Employer incentives for augmentation over replacement
Detect
Labor data; job-posting analytics.
Respond
individuals
Move toward work with physical presence, licensing, trust or ownership; use agents to become the supervisor of what used to be a team
Build runway and reduce fixed costs before, not after
organizations
Phased adoption with internal mobility; the reputational and regulatory cost of a mass layoff is rising
Prepare for demand shifts in your customer base
governments
Automatic stabilizers; wage insurance; fund the community colleges
Consider work-sharing programs proven in Germany in 2009
Recover
Post-shock, the durable fix is ownership: mechanisms that give displaced workers a claim on AI productivity.
Probability history
Every change is logged with its reason and the signals that drove it. Moves are bounded per week; a jump beyond the bound is flagged as a shock.
Probability range over time
Your estimate
Disagree with our range? Set yours. Estimates feed a community view that appears once enough people weigh in, and the weekly run reads the gap between our number and yours.
23%
2026-09-16
15–30%
seed
Seed estimate. Anthropic's extreme scenario reaches ~12% unemployment by 2030; the substantial scenario stays near 4.6%. Early-career displacement is already measurable.
Anthropic publishes a 2030 economy model: unemployment 4.6% to 12% across scenarios
Labor share of income could fall from 59% to 45%. Stanford data shows 22–25-year-olds in AI-exposed jobs ~19% below peers, with no economy-wide job loss through June 2026.