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Google's AI & Economy ATLAS launches new interactive data visualizations and research insights on global AI adoption in occupations, highlighting regional trends and time savings for scientists.
The research presents six key facts about generative AI's employment effects, showing no widespread economy-wide job displacement but a significant 19% decline in employment for young workers in AI-exposed occupations since 2025.
Anthropic's new economic research introduces a framework for tracking Claude Code usage, showing how AI can automatically extract insights like occupations and expertise from conversation transcripts, disrupting data science and analytics.
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.
OpenAI launched the OpenAI Economic Research Exchange, a new platform to support rigorous external research on the economic effects of AI by funding projects that use OpenAI tools with privacy protections.
The article examines current economic data and finds no evidence that AI has caused large-scale white-collar job displacement, contrary to popular fears. It argues that disruption is not yet here and there is time to plan.
Anthropic's Economic Research team reviews 56 randomized US studies and European experiments on worker retraining programs, finding modest average effects and concluding that existing programs would likely fall short if AI displaces workers at scale.
Anthropic announces a $200 million Economic Futures Research Fund to support external research on interventions for AI's economic impacts, prioritizing five research areas including worker impact, income support, and public investments.