vida: research session 2026-04-30 — 9 sources archived

Pentagon-Agent: Vida <HEADLESS>

inbox/queue/2026-04-30-frbsf-atlanta-fed-ai-productivity-high-skill-concentration.md

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+---
+type: source
+title: "Atlanta Fed / FRBSF: AI Productivity Gains of 0.8% in High-Skill Services vs 0.4% in Low-Skill — Gains Expected to Double in 2026"
+author: "Federal Reserve Bank of Atlanta / San Francisco Fed"
+url: https://www.atlantafed.org/research-and-data/publications/working-papers/2026/03/25/04-artificial-intelligence-productivity-and-the-workforce-evidence-from-corporate-executives
+date: 2026-03
+domain: health
+secondary_domains: [ai-alignment]
+format: research
+status: unprocessed
+priority: medium
+tags: [ai, productivity, workforce, economic-research, high-skill-concentration, federal-reserve]
+intake_tier: research-task
+---
+
+## Content
+
+Federal Reserve Bank of Atlanta / FRBSF research paper "Artificial Intelligence, Productivity, and the Workforce: Evidence from Corporate Executives" (March 2026 — companion to NBER Working Paper 34836).
+
+Key sector-level findings (2025 actual data, not executive predictions):
+- High-skill services and finance: ~0.8% labor productivity gain from AI
+- Low-skill services, manufacturing, construction: ~0.4% gain
+- Knowledge-intensive industries with AI job posting surges accounted for 50% of real GDP growth in Q3 2025
+- Total factor productivity increases associated with innovation and demand-oriented channels (not capital deepening)
+
+FRBSF Economic Letter (Feb 2026) additional data:
+- Most macro-studies find limited evidence of significant AI effect in aggregate productivity statistics
+- AI's GDP contribution is currently flowing through INVESTMENT (AI capex) not productivity gains
+- "Solid, above-trend growth" expected for H1 2026 partly from AI-related investment
+
+AI adoption concentration pattern (IMF Jan 2026 / PWC data):
+- Higher education levels significantly more likely to demand AI-related skills
+- Young workers' employment more concentrated in occupations with high AI exposure AND low complementarity to AI → higher displacement risk
+- Areas with higher literacy, numeracy, and college attainment see more AI skill demand
+- Entry-level positions facing pressure from AI in highly exposed occupations
+
+San Francisco Fed Mary Daly (Feb 2026): AI productivity gains moving "under the hood" — present but not yet visible in standard productivity statistics.
+
+## Agent Notes
+
+**Why this matters:** This is the supply side of the AI-vs-chronic-disease argument. The Fed data shows that where AI gains ARE happening, they're concentrated in exactly the sectors and workers LEAST burdened by chronic disease (high-skill, finance, knowledge workers). The 0.8% vs 0.4% sector split is small but the directional signal is consistent: AI productivity accrues to already-healthy, already-productive workers.
+
+**What surprised me:** Knowledge-intensive industries drove 50% of real GDP growth in Q3 2025 despite being a minority of employment. This is the AI productivity flying through the high-skill conduit while the rest of the economy sees 0.4% or nothing. The GDP numbers look good but the distribution is highly unequal.
+
+**What I expected but didn't find:** A direct comparison of AI productivity gains among workers WITH vs WITHOUT chronic conditions. This is the research gap — we have sector-level data (high-skill vs low-skill) as a proxy, but not direct health-status-segmented data.
+
+**KB connections:**
+- Companion to NBER 34836 (80% no AI gains)
+- Strengthens Belief 1 disconfirmation target: AI gains concentrated where chronic disease is least, chronic disease concentrated where AI is least — non-overlapping
+- The 50% of GDP growth from knowledge-intensive industries creates a paradox: population health (which is declining) may not be the binding constraint on GDP in the near term if capital and knowledge work can decouple from population health status
+- HOWEVER: this decoupling is temporary if knowledge workers eventually age and become chronically ill without prevention
+
+**Extraction hints:**
+- This source is better used as supporting evidence for the NBER claim than as a standalone claim
+- The most extractable finding: "AI productivity gains concentrate in high-skill sectors at 0.8% vs low-skill sectors at 0.4% — a 2x differential that mirrors the chronic disease burden distribution"
+- OR: flag this as the GDP paradox — short-term AI can inflate GDP growth measures even as population health declines, which may create a false signal that health is not a binding constraint
+
+**Context:** Fed research has high methodological credibility. The FRBSF economic letter (shorter format, policy-oriented) and the Atlanta Fed working paper are companion pieces — both using the same underlying executive survey.
+
+## Curator Notes (structured handoff for extractor)
+PRIMARY CONNECTION: Companion to NBER 34836 on AI-vs-chronic-disease interaction for Belief 1
+WHY ARCHIVED: Provides the sector-level quantification (0.8% vs 0.4%) and the GDP growth concentration finding (50% from knowledge-intensive industries). Together with NBER 34836, this builds the case that AI productivity is a high-skill phenomenon that doesn't compensate for low-skill chronic disease burden.
+EXTRACTION HINT: Use as supporting evidence for the NBER 34836 claim rather than standalone. The 50% GDP growth concentration finding is the most surprising data point.

inbox/queue/2026-04-30-hrsa-behavioral-health-workforce-shortage-2025-projections.md

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+---
+type: source
+title: "HRSA State of the Behavioral Health Workforce 2025 — 122M Americans in Shortage Areas, Psychiatrist Supply Declining 20% by 2030"
+author: "HRSA Bureau of Health Workforce"
+url: https://bhw.hrsa.gov/sites/default/files/bureau-health-workforce/data-research/Behavioral-Health-Workforce-Brief-2025.pdf
+date: 2025-12
+domain: health
+secondary_domains: []
+format: report
+status: unprocessed
+priority: high
+tags: [mental-health, workforce, shortage, psychiatrist, access, hrsa, behavioral-health, supply]
+intake_tier: research-task
+---
+
+## Content
+
+HRSA Bureau of Health Workforce 2025 Behavioral Health Workforce Brief — key findings:
+
+**Shortage scope (December 2024 data):**
+- More than 122 million Americans live in designated Mental Health Professional Shortage Areas (HPSAs)
+- More than 150 million people live in federally designated mental health professional shortage areas (some overlap)
+- More than half of U.S. counties lack a single psychiatrist
+- 65% of nonmetropolitan counties completely lack psychiatrists; cities experience selective shortages
+
+**Workforce projections:**
+- Adult psychiatrist supply projected to DECREASE 20% by 2030 (retirements outpacing new entrants)
+- Demand for psychiatrist services expected to INCREASE 3% over same period
+- Shortage of over 12,000 fully-trained adult psychiatrists by 2030
+- Longer-term: shortage of 43,660 to 93,940 adult psychiatrists by 2037
+- Projected shortages: addiction counselors, marriage and family therapists, mental health counselors, psychologists, psychiatric PAs — all significant
+
+**Access impact:**
+- National average wait time for behavioral health services: 48 days
+- Current appointment wait times: 3 weeks to 6 months depending on location and specialty
+- 6 in 10 psychologists do NOT accept new patients
+- Rural communities face workforce shortages at nearly twice the rate of urban areas
+
+**Burnout:**
+- 2023 survey of 750 behavioral health professionals: 93% experienced burnout, 62% experienced SEVERE burnout
+- Burnout is both cause and effect of the shortage — high caseloads + inadequate reimbursement → burnout → exit → higher caseloads
+
+**What's not helping:**
+- MHPAEA enforcement (targets coverage parity, not workforce supply)
+- Technology (teletherapy reduces geographic barriers but doesn't create new therapists)
+- Loan repayment programs (H.R.6672 Mental Health Professionals Workforce Shortage Loan Repayment Act of 2025 is in the 119th Congress — not yet law)
+
+## Agent Notes
+
+**Why this matters:** The HRSA data makes the supply constraint concrete and quantitative. 48-day wait times, 6/10 psychologists not accepting new patients — these are the ACCESS numbers that enforcement cannot change. You can mandate perfect benefit design parity and still have a 48-day wait time if there are no providers to see.
+
+**What surprised me:** The psychiatrist supply is projected to DECREASE — not just fail to keep up with demand, but actually shrink — 20% by 2030. This means the shortage is not stable; it's accelerating in the wrong direction. The window for intervention is closing.
+
+**What I expected but didn't find:** Any evidence that teletherapy platforms (BetterHelp, Talkspace) are meaningfully closing the access gap in shortage areas. The existing KB claim says "technology primarily serves the already-served rather than expanding access" — the HRSA data supports this.
+
+**KB connections:**
+- Directly supports: "the mental health supply gap is widening not closing because demand outpaces workforce growth and technology primarily serves the already-served rather than expanding access"
+- Confirms: enforcement (federal or state) addresses benefit design, not workforce supply — enforcement cannot solve the problem the HRSA data quantifies
+- Connects to the RTI 27.1% reimbursement differential: lower reimbursement → burnout → exit → shrinking supply
+
+**Extraction hints:**
+- CLAIM: "Mental health workforce shortage is accelerating as psychiatrist supply falls 20% by 2030 while demand rises 3%, creating a structural access gap that insurance parity enforcement cannot address"
+- This is an update/enrichment of existing KB claim "the mental health supply gap is widening not closing"
+- The 20% supply decline vs. 3% demand increase is the specific quantitative update
+- The mechanism is: reimbursement differential → burnout → workforce exit → shrinking supply
+
+**Context:** HRSA is the authoritative federal source for health workforce data. Their projections are the basis for federal shortage area designations that determine federal funding allocations.
+
+## Curator Notes (structured handoff for extractor)
+PRIMARY CONNECTION: "The mental health supply gap is widening not closing" — this enriches it with 2025 projections
+WHY ARCHIVED: The 20% decline in psychiatrist supply by 2030 is a significant quantitative update. Combined with the 48-day average wait time and 6/10 psychologists not accepting patients, this makes the shortage concrete and measurable, not just directional.
+EXTRACTION HINT: Enrich the existing claim rather than writing a new one. Add: "Psychiatrist supply projected to fall 20% by 2030 while demand rises 3%" and "6/10 psychologists not accepting new patients, 48-day average wait." These specifics make the existing claim stronger.