theseus: extract 3 claims from Anthropic labor market impacts + 1 AI dev claim

- What: 4 new claims — capability-deployment gap (96% theoretical vs 32%
  observed), young worker hiring decline (14% drop in exposed occupations),
  inverted displacement demographics (female, high-earning, educated), and
  knowledge graphs as critical input when code generation is commoditized.
  Source archived. Map updated with Labor Market & Deployment subsection.
- Why: Anthropic's own usage data provides the empirical map of where AI
  displacement concentrates. Complements Rio's theoretical displacement
  claims with hard numbers. Cross-domain flags to Rio and Vida.

Pentagon-Agent: Theseus <845F10FB-BC22-40F6-A6A6-F6E4D8F78465>

domains/ai-alignment/_map.md

@@ -56,6 +56,11 @@ Evidence from documented AI problem-solving cases, primarily Knuth's "Claude's C
 - [[the optimal SI development strategy is swift to harbor slow to berth moving fast to capability then pausing before full deployment]] — optimal timing framework: accelerate to capability, pause before deployment
 - [[adaptive governance outperforms rigid alignment blueprints because superintelligence development has too many unknowns for fixed plans]] — Bostrom's shift from specification to incremental intervention
 
+### Labor Market & Deployment
+- [[the gap between theoretical AI capability and observed deployment is massive across all occupations because adoption lag not capability limits determines real-world impact]] — Anthropic 2026: 96% theoretical exposure vs 32% observed in Computer & Math
+- [[AI displacement hits young workers first because a 14 percent drop in job-finding rates for 22-25 year olds in exposed occupations is the leading indicator that incumbents organizational inertia temporarily masks]] — entry-level hiring is the leading indicator, not unemployment
+- [[AI-exposed workers are disproportionately female high-earning and highly educated which inverts historical automation patterns and creates different political and economic displacement dynamics]] — AI automation inverts every prior displacement pattern
+
 ## Risk Vectors (Outside View)
 - [[economic forces push humans out of every cognitive loop where output quality is independently verifiable because human-in-the-loop is a cost that competitive markets eliminate]] — market dynamics structurally erode human oversight as an alignment mechanism
 - [[delegating critical infrastructure development to AI creates civilizational fragility because humans lose the ability to understand maintain and fix the systems civilization depends on]] — the "Machine Stops" scenario: AI-dependent infrastructure as civilizational single point of failure

inbox/archive/2026-03-05-anthropic-labor-market-impacts.md

@@ -6,7 +6,13 @@ date: 2026-03-05
 url: https://www.anthropic.com/research/labor-market-impacts
 domain: ai-alignment
 secondary_domains: [internet-finance, health, collective-intelligence]
-status: unprocessed
+status: processed
+processed_by: theseus
+processed_date: 2026-03-08
+claims_extracted:
+  - "the gap between theoretical AI capability and observed deployment is massive across all occupations because adoption lag not capability limits determines real-world impact"
+  - "AI displacement hits young workers first because a 14 percent drop in job-finding rates for 22-25 year olds in exposed occupations is the leading indicator that incumbents organizational inertia temporarily masks"
+  - "AI-exposed workers are disproportionately female high-earning and highly educated which inverts historical automation patterns and creates different political and economic displacement dynamics"
 cross_domain_flags:
   - "Rio: labor displacement economics — 14% drop in young worker hiring in exposed occupations, white-collar Great Recession scenario modeling"
   - "Vida: healthcare practitioner exposure at 58% theoretical / 5% observed — massive gap, implications for clinical AI adoption claims"