The Anthropic Economic Index report: New building blocks for understanding AI use
ID: c6e8a4b1-a768-5c7a-8a28-11529b7832ce
STIX ID: report--c6e8a4b1-a768-5c7a-8a28-11529b7832ce
Feed Name: Anthropic Research
Anthropic's fourth Economic Index analyzes November 2025 conversations with Claude (mainly Sonnet 4.5) using five "economic primitives"—task complexity, skill level, purpose, AI autonomy, and success—to measure AI's real-world productivity effects. Key findings: higher-complexity tasks see larger speedups, success rates decline with task length, usage patterns vary by country and occupation, Claude more often augments than automates work, and adjusted estimates suggest AI could raise US labor productivity by roughly 1.0–1.2 percentage points per year when accounting for reliability.
Your team is not currently subscribed to this feed. You must subscribe to it in order to see this post.