New data from Anthropic’s February 2026 Economic Index shows AI usage is broadening across the economy.
Earlier implementation was concentrated in high-value tasks like coding, but that is changing. The share of activity tied to the top 10 tasks has dropped, and more users are turning to AI for everyday needs like product comparisons, sports, and home-related questions.
As usage spreads, the average value of tasks being done with AI has declined slightly, reflecting a wider and more casual user base.
Work Is Splitting Between Automation and Assistance
Collaborative use—where AI supports human work—has increased slightly, especially in the consumer-facing product. At the same time, more technical workflows, particularly coding, are shifting into automated systems through APIs.
This suggests a divide is forming: AI is assisting individuals in day-to-day tasks while automating more structured work behind the scenes.
Experience Is Becoming a Workplace Advantage
One of the clearest findings is that people get better at using AI over time.
Users with at least six months of experience are more likely to apply AI to higher-value work and are more successful in getting useful results. They also rely less on AI for personal tasks and more for professional ones.
The gap is measurable. More experienced users show higher success rates in their interactions, even when working on similar tasks.
Adoption Gaps Are Still Growing
AI usage remains uneven across regions.
Within the U.S., adoption is slowly spreading more evenly across states. Globally, however, usage is becoming more concentrated, with a small group of countries accounting for a growing share of activity.
This points to a widening divide in who is benefiting from AI—and who is not.
What It Means for the Future of Work
AI is no longer limited to technical specialists, but that does not mean its impact is equal. As more people adopt these tools, the advantage is moving toward those who know how to use them well. Experience, not just access, is starting to determine outcomes.
The result is a workplace where AI is everywhere, but the benefits are not evenly distributed.
