@AnthropicAI: To truly understand AI’s economic impact, we’ll need to collect much more qualitative data like this. That’s why we’re …
Summary
Anthropic launches a monthly survey of Claude users to gather qualitative data on how AI is changing work, aiming to better understand AI's economic impact.
View Cached Full Text
Cached at: 04/22/26, 06:50 PM
To truly understand AI’s economic impact, we’ll need to collect much more qualitative data like this. That’s why we’re launching the Anthropic Economic Index Survey. Each month, we’ll ask Claude users how AI is changing their work. For more details, see:
Similar Articles
@AnthropicAI: AI's impact on the economy will ultimately show up in aggregate data like employment and productivity. But it will firs…
Anthropic's Economic Index report tracks how Claude usage reflects economic patterns at hourly and daily levels, revealing work rhythms, types of outputs, and user expectations about AI's impact on jobs and productivity.
Apr 22, 2026Economic ResearchAnnouncing the Anthropic Economic Index Survey
Anthropic has launched the Anthropic Economic Index Survey, a monthly initiative using Anthropic Interviewer to collect qualitative data from Claude users regarding AI's impact on their work, productivity, and future expectations.
@AnthropicAI: Last month, we published our look into what 81,000 people told us they want from AI. In new research, we’ve investigate…
Anthropic analyzed economic themes in 81,000 public responses about desired AI outcomes.
Apr 22, 2026Economic ResearchWhat 81,000 people told us about the economics of AI
Anthropic released findings from a survey of 81,000 Claude users, revealing that workers with high AI exposure report both significant productivity gains and increased concerns about job displacement. The study correlates these subjective economic fears with quantitative data on AI usage in specific occupations.
@AnthropicAI: Our latest economic research introduces a framework for tracking Claude Code as it scales. Who is using Claude Code, an…
Anthropic's latest economic research analyzes ~400,000 Claude Code sessions, finding that domain expertise matters more than coding skills for successful agentic coding, and that task value increased ~25% over seven months.