← The Polylog AI Intelligence Brief
Morning Edition · Tuesday, October 13, 2026Published at 2:13 AM EDT · New York
Anthropic's 2030 scenarios project U.S. output 1.6% to 32.4% above a no-AI path, with knowledge-worker unemployment near 18% in the extreme case
Average wages rise in all three scenarios, but gains concentrate outside knowledge work. Stability AI founder Emad Mostaque argued this week that capital will "hire GPUs" instead of labor.
Anthropic's economics team published an interactive model of how AI may affect growth, jobs and wages through 2030. Users can compare their own forecasts with the answers of more than 10,000 Americans. The model has three scenarios, which T…
Continue the AI Intelligence Brief
Track frontier labs, chips, export controls, model releases, regulation, and AI infrastructure.
- 5 AI intelligence signals a day
- Frontier labs, compute, and chips
- Model releases and AI infrastructure
- Source-grounded analysis with confidence labels
The Global Intelligence Brief stays free.
Part of a tracked trend
Frontier Labs Publish the Macro Case for Their Own Technology
AI labs increasingly publish formal macroeconomic scenarios — GDP paths, labor-share trajectories, displacement estimates — that become reference inputs to fiscal and regulatory debate, so expect recurring lab-authored economic modeling, contested replication by academic and official forecasters, and policy anchored on numbers the vendors themselves produced.
Townsquare
Start a discussion in Townsquare.
More from this edition
- Meta's Muse Wonder Full beats Claude Opus 5.5 on 8 of 14 Meta-published benchmarks, but only the weaker variant is sold through the API
- Microsoft says its Maia chips will become its main inference platform at multi-gigawatt scale from 2027
- NeurIPS paper proves model builders can hide encrypted capabilities in weights that full white-box access cannot detect
- Alibaba's QwenGyre cuts agent reinforcement-learning wall-clock time by up to 1.85x by moving GPUs between rollout and training mid-run
- Sakana AI and UC Berkeley train a 27B model on its own multi-agent runs, raising its win rate to 69.9% after two rounds
- Anthropic prices Claude Haiku 5.5 at $0.10 per million input tokens, a tenth of Haiku 4.5's rate
- NVIDIA contributes Vera Rubin rack and compute-tray designs to the Open Compute Project, with a specification for racks up to 250 kW
Comments
0No comments yet.