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🧮 Anthropic Economic Index: Snapshot of Where AI is Being Used and Who’s Gaining

Key Findings

• AI adoption has accelerated fast. In the U.S., about 40% of employees now report using AI at work, up from ~20% in 2023. Anthropic

• Coding remains the largest single use case globally (~36% of Claude.ai conversations), but there’s rising activity in education (up to ~12%) and science (~7%). Anthropic+1

• More people are asking Claude to fully take on tasks (“directive” or automated workflows) rather than just assisting—automated jobs rose from ~27% to ~39%. Anthropic+1

🌍 Geographic Disparities

• Usage is very uneven across countries. Wealthier nations like Singapore, Canada, Israel are using Claude much more than their share of working-age population would predict. Emerging economies such as India, Nigeria, Indonesia lag far behind. Anthropic+1

• Within the U.S., states with knowledge-economy strengths—DC, California, Utah—see much higher per-capita usage. States more dependent on tourism or other less “digital” industries show lower usage. Anthropic+1

🏢 Enterprise vs Consumer Use

• Businesses using Claude via API are much more likely to automate tasks than average users. ~77% of API interactions are directive (automation), while for typical Claude.ai users, automation vs collaboration is more balanced. Anthropic+1

• Higher-cost, complex tasks are being automated more frequently—suggesting firms are trusting AI with more valuable or difficult work. Anthropic+1

⚠️ Implications & Risks

• The adoption gaps could widen existing inequalities: by region, economic class, skill level. Those with access and digital infrastructure get the productivity gains first. Anthropic+1

• As automation grows, there will be bigger pressure to reskill workers and adjust education / workforce planning. Lower-usage regions risk falling behind. MLQ.ai+1

💡 My Take

• What I see: This isn’t just a tech rollout—it’s an economic inflection point. The speed of adoption is huge, but the uneven spread matters almost more than the averages.

• If I were advising a business or policymaker: focus on infrastructure, training, and incentives to distribute access more broadly. There’s a window of opportunity now before inequalities get locked in.

If you like, I can pull together visual graphs from the report (task-type split, U.S. state charts, etc.) so you can see which areas are rising fastest

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