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Anthropic Economics: 2030 scenario explorer + Korinek et al. working paper

Sep 9 issuer X: Anthropic Economics team ships interactive US 2030 AI economic scenario explorer (modest/substantial/extreme) with companion Korinek et al. working paper; Jack Clark amplifies.

Source

Anthropic Economics: 2030 scenario explorer + Korinek et al. working paper

Generated by Grok Bot research on 2026-09-09. WebSearch + fetch ladder + native X. Treat as raw material — review before promoting into a project or thread.

Dedup: Same-day AI-thread source 2026-09-09-overnight-x-openai-astra-full-work-codex-rollout-aa-model.md already covers Astra full Work/Codex rollout, AA Model Release pages, and SMB plugins video. Sep 8 sources cover AlphaGenome Atlas, Navier–Stokes / Buckmaster credit dispute, Images 2.5. Do not re-file those permalinks. This pass is mid-morning Anthropic Economics only.

Summary

On 2026-09-09 (~13:33 UTC), @AnthropicAI announced that Anthropic’s Economics team is shipping an interactive US 2030 AI economic scenario explorer, with public predictions compared to a survey of more than 10,000 Americans. Issuer page Scenarios for our Economic Future frames three scenarios (modest / substantial / extreme), task-level augmentation vs automation vs new tasks, and GDP / labor-share / wage / unemployment illustrations. Companion technical report Economic Scenarios for Transformative AI (Korinek, Jones, Sacher, Cotter, McCrory; Anthropic Institute Working Paper No. 2026-02, September 2026) is linked as PDF. @jackclarkSF amplified the release and warned some scenarios are “very radical.” Contested: these are model scenarios / thought tools, not forecasts; the explorer page itself disclaims simplification and omitted channels (policy responses, aggregate demand from data-center buildout, robots, etc.).

Findings

Anthropic issuer X: Economics team scenario explorer

  • @AnthropicAI (2026-09-09 13:33:31Z): “Anthropic’s Economics team is sharing a new model of how AI might affect economic growth, jobs, wages, and more by 2030.” Invites exploring scenarios, stating one’s own view, and comparing to more than 10,000 Americans. Link resolves to anthropic.com/institute/econ-scenarios.
  • Follow-up @AnthropicAI (same timestamp; note_tweet expanded): jobs as bundles of tasks; AI can speed/better a task, do the task, leave it untouched, or create new tasks. Names three scenarios — modest, substantial, extreme — and says the economy grows in all three, but more transformative cases automate more knowledge work so the challenge is sharing gains. Image attached (not video).
  • @jackclarkSF (2026-09-09 13:45:41Z): quotes the Anthropic root post; describes an interactive explorer where users set variables for AI advancement and diffusion.
  • @jackclarkSF (2026-09-09 13:53:43Z): releasing so public and policymakers can prepare; “some of the scenarios are very radical.”

Issuer page numbers (hydrate from explorer HTML)

From Scenarios for our Economic Future (WebFetch 2026-09-09; v1.0 Econ Scenario Explorer, September 2026):

  • Modest: US GDP $34.1T (+1.6% vs without-AI baseline at 2025 price levels); labor share 59.4% / capital 40.6% (capital up 0.6 points).
  • Substantial: GDP $36.3T (+8.3%); labor 56.1% / capital 43.9% (capital up 3.9 points). Knowledge-worker wages “essentially flat”; other workers see gains.
  • Extreme: GDP $44.4T (+32.4%); labor 45.2% / capital 54.8% (capital up 14.8 points). Page copy: annual GDP growth rates reach 15%/year (economy doubles ~every 4.5 years); knowledge-worker wages fall more than 10% by 2030; unemployment can rise “beyond typical recessionary levels”; total labor income “barely changed by 2030.”
  • Survey: n = 10,980 general public (August); typical respondent maps near substantial (~GDP 10% higher by 2030 in the survey-implications blurb; ~5% overall unemployment); ~10% of respondents align with extreme.
  • Framing: Economic Index = current use; this explorer = forward-looking. Based on technical report Economic Scenarios for Transformative AI (Korinek et al., 2026). Credits Jack Clark for direction; model authors Anton Korinek, Chad Jones, Szymon Sacher, Tess Cotter, Peter McCrory.

Treat GDP/$ figures as issuer model outputs, not observed 2030 data.

Companion technical report (PDF)

  • PDF URL from the explorer page: econ_scenarios_transformative_ai.pdf (curl 200; content-disposition filename econ_scenarios_transformative_ai.pdf; last-modified 2026-09-09).
  • Title page (pdftotext pp.1–2): Economic Scenarios for Transformative AI; authors Anton Korinek, Charles I. Jones, Szymon Sacher, Tess Cotter, and Peter McCrory; The Anthropic Institute Working Paper No. 2026-02; September 2026.
  • Abstract claims (paper, not explorer UI): modest change adds less than half a point to GDP growth by 2030 and raises unemployment by a tenth of a point; extreme: AI performing almost half of today’s cognitive work by 2030, GDP growth 15% per year, labor share 60% → 45%, nearly one in five cognitive workers unemployed; median survey respondent ≈ substantial (GDP +8%, cognitive employment −4% by 2030).
  • Disclaimer in abstract: views are the authors’ and do not necessarily represent Anthropic or The Anthropic Institute.

Skipped / discovery-only

  • Grok search_news clusters on OpenAI Navier–Stokes “idea theft,” Astra quota demand, MiniCPM5, Boris/Tibo banter, American Prospect Anthropic activism monitoring — either already filed, dunk/recap, or secondary without issuer X grain this pass.
  • OpenAI Astra full rollout + SMB plugins video + Artificial Analysis Model Release pages — already in same-day overnight source.
  • GoogleDeepMind AlphaGenome Atlas — filed 2026-09-08 10am source.
  • karpathy timeline: no non-reply posts in the overnight/morning window.

Contradictions and open questions

  • Explorer UI GDP deltas (+1.6% / +8.3% / +32.4% to $34.1T / $36.3T / $44.4T) vs paper abstract wording (modest “less than half a point” to growth; substantial survey median “GDP rises by 8%”) — same family of scenarios, but exact phrasing differs; prefer citing which document a number came from.
  • Extreme scenario is labeled a model path that “would likely require recursively self-improving AI”; several external reviewers treated the extreme case as closer to a thought experiment — keep that contest visible.
  • Page explicitly omits policy responses, business cycles, data-center aggregate-demand effects, and hyper-capable robots — do not read the scenarios as full-economy forecasts.
  • American Prospect activism-surveillance story appeared in news search but was not hydrated from Anthropic issuer X this pass — leave out until primary confirmation.

Provenance

Method: Grok Bot / WebSearch + fetch ladder (WebFetch + curl PDF) + native X (search_news, get_usage_credits, get_users_by_username, get_users_posts, get_posts_by_ids) Generated: 2026-09-09 X spend note: credits before pull ~$134.84; conservative timelines + one news search (no search_posts_all).

Web sources:

X sources:

Grokipedia:

  • not used
Referenced by
Concepts
AI value accrual and the "universal basics" question (UBI / UBS / UBC / UBE)Anthropic Economics — US 2030 AI scenario explorer (Korinek et al.)Anthropic Insights — privacy-preserved Claude usage data (August 2026)AutoResearch and the recursive-self-improvement loopThe AI job-displacement debate (and the "AI-washing" narrative flip)
Entities
AnthropicAnton KorinekJack Clark