AI Risk Atlas Prototype/DemoUnofficial independent experiment. Not an official xAI product. Scores can be wrong.

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ProposedOn the path to acceptable

Apprenticeship quotas in firms that deploy the models

If you automate the junior work, you still fund the junior people. Make it a condition of deployment.

$73M experimental capital · 2 private / 2 institute

Who should own it
Employers and labor ministries
Governments
How quickly it can land
Months
A planned program, one to two quarters.
Expedited implementation
2 months
60 calendar days with a crash team
Normal implementation
8 months
240 calendar days as a planned program

Risk this mitigates

19
Closure of the entry-level labor market

Given that measured hiring into the most exposed white-collar roles has already fallen, and a frontier-lab CEO has put a five-year, 50% figure on entry-level disruption, there is a possibility of the first rungs of professional work disappearing faster than institutions can retrain or replace them resulting in a cohort of graduates locked out, and a long-run collapse in how professions reproduce skill.

Residual composite 19 · still above the threshold

Effect if implemented

Applied to every failure scenario on that risk, then re-ranked. Axes are clamped at 1.

Likelihood
1
Consequence
1
Urgency
1