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

Risk Atlas
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19automated residualNeeds reviewAbove working threshold (12)

Closure of the entry-level labor market

Owner · Governments, employers, universities

CapabilityImpact domainHarm-adjacent

Statement (NASA form)

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.

Condition
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
Departure
the first rungs of professional work disappearing faster than institutions can retrain or replace them
Impact
a cohort of graduates locked out, and a long-run collapse in how professions reproduce skill

VC + institute corroboration

Experimental share of compiled public capital that names this risk. Not a certified residual.

$6.7Mexperimental share · $6.7M private / $0k institute · thin corroboration
Worst scenario
5×3
Extremely likely × Major
Urgency
4
Expedite · This month
Inherent composite
19
Worst 15 + urgency
Residual composite
19
Need ≤ 12

The current signal is not mass firing. It is a closed front door. High-risk firms have stopped hiring the people who used to learn the job by doing the job. That is how a profession dies even if headcount looks stable.

EconomicAgencyRightsFoundationsCodegenEducationFinanceLegalConsumerMfgAero

Pathway fragment

Simple upstream → via → downstream notes. Not a causal graph. Experimental.

Upstream
  • Task-complete models
  • Closed-door hiring scores
  • No appeal
Via
  • Entry rungs disappear
  • Whole classes never reach a human
Downstream
  • Regional employment shock
  • Unappealable exclusion

Assumptions · Displacement timing is uncertain; the closed-door mechanism is not.

Human calibration

Override is stored on this desk only. It does not make the score official.

Failure scenarios

Each scenario has its own likelihood and consequence. The risk takes the most severe cell. Residual applies implemented mitigations to every scenario, then re-ranks.

A lost graduating class

5Extremely likely3Major15

Placement rates in exposed majors collapse in a single cycle. Debt stays.

Professions cannot reproduce mid-career skill

3Probable4Critical12

Ten years on there is no one who learned the judgment the models still need a human for.

Demand shock from simultaneous displacement

3Probable4Critical12

Consumption falls as a cohort never gets a first wage. Political instability follows.

Examples

50% in five years

Anthropic’s CEO has estimated that half of entry-level white-collar work could be disrupted within five years.

Hiring freeze, not layoff

The labor study: exposed firms are not firing — they have stopped hiring. Graduates are four times more exposed.

Programmers, analysts, service

The first occupations on the list are the ones that used to absorb a college class: code, finance, customer operations.

Contributing signals

X posts on the desk that evidence this risk. A signal can contribute to more than one risk.

Amodei: 50% of entry-level white-collar work in five years.

Hiring freeze, not firing; graduates 4× more exposed.

Mitigations

Residual assumes only items marked in place. Highlighted rows are the remaining work needed to reach a composite of 12.

ProposedOn the pathEmployers and labor ministries

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.

Employers and labor ministries · expedited 2 months · normal 8 months · −1 L · −1 C · −1 U

ProposedNational governments

Automatic stabilisers for exposed graduating cohorts

Income support and paid reskilling that trigger on placement-rate collapse, not after a recession is declared.

National governments · expedited 3 months · normal 9 months · −0 L · −1 C · −1 U