AI Safety Talent Supply/Demand Gap Model

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  "llmSummary": "Quantifies AI safety talent shortage: current 300-800 unfilled positions (30-50% gap) with training pipelines producing only 220-450 researchers annually when 500-1,500 are needed. Projects gaps could worsen to 50-60% by 2027 in scaling scenarios, with A-tier researcher shortage (50-100 vs 200-400 needed) particularly critical; recommends tripling MATS-style programs (\\$45M), competitive salary funds (\\$50-100M/year), and new PhD programs (\\$40-80M) with estimated 4-9x ROI.",
  "description": "Quantifies mismatch between AI safety researcher supply and demand using detailed pipeline analysis. Estimates current 30-50% unfilled positions (300-800 roles) could worsen to 50-60% gaps by 2027, with training bottlenecks producing only 220-450 researchers annually when 500-1,500 are needed.",
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