← The Polylog AI Intelligence Brief
Morning Edition · Monday, October 5, 2026Published at 2:00 AM EDT · New York
Anthropic's 2030 scenarios put US output up to 32.4% above a no-AI path while labor's share of income falls to 45.2%
The typical answers in Anthropic's survey of 10,980 Americans imply an economy about 10% larger than it would be without AI, with unemployment near 5%. Those answers sit close to the middle of Anthropic's three scenarios.
Anthropic's economics team has published an interactive model of AI's effect on the US economy through 2030. It sets out three scenarios and lets users compare their own expectations with the answers of more than 10,000 Americans. The model…
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
- Anthropic and OpenAI price their near-flagship models at $2 and $10 per million tokens while open-weight Qwen runs on a gaming GPU
- Hinton says Trump is "badly advised" on AI after the White House replaced rules with a voluntary self-policing accord
- New papers show jailbreaks and GraphRAG poisoning work by composing benign parts, a pattern OpenAI says it saw in a reasoning-extraction campaign
- Sonnet 5.5's jump from 10.3% to 70.6% on Terminal-Bench 4.0 tests how far vendor agent evals can be trusted
- MIRROR paper defends multi-agent systems against agent-in-the-middle tampering as harnesses hand routing and injection checks to fast single-pass models
- Two papers find supervised fine-tuning teaches surface style and can widen a falsification gap that reinforcement learning closes
- Meta sells its closed-weight Muse Spark 1.3 at $1.25 and $4.25 per million tokens through an OpenAI-compatible API
Comments
0No comments yet.