Anthropic's New Economic Index Finds Heavy AI Users Feel More Productive and Optimistic
Anthropic's June 26 Economic Index report links AI use to higher self-reported productivity — 86% cite speed gains and most say their skills are growing more valuable.
What the Data Says About AI and Everyday Work
The conversation about AI and work too often runs on vibes, so I am always glad when someone brings receipts. On June 26, 2026, Anthropic published a new Economic Index report — nicknamed "Cadences" — that pairs a survey of roughly 9,700 Claude users with actual usage data. The result is one of the more grounded looks we have at how working with AI tools is changing how people feel about their own jobs.
The Headline Numbers
The self-reported gains are striking in their consistency. Among surveyed users, 86% reported speed gains, 82% reported being able to take on a broader scope of work, and 69% reported quality improvements in what they produce. In other words, people are not just saying AI makes them faster; many say it lets them tackle work they could not have attempted before, and do it better.
The numbers I find most interesting are the ones about people themselves. 57% of respondents felt their skills are becoming more valuable, not less, as they work alongside AI, and 68% said they actually learn more when using AI than without it. That cuts against the tidy narrative that automation inevitably hollows out expertise. For this cohort, the tool is functioning more like a capable collaborator that stretches what they know.
The Optimism Finding
The standout result is about outlook. The report finds that the users who delegate the most to Claude are also the most optimistic about their own labor-market futures. The people leaning hardest into AI are not the most anxious about it — they are the most hopeful.
That correlation deserves a careful read, and to its credit the report frames it as exactly that: a correlation among a self-selected group of active AI users, not a universal law. People who already enjoy a tool will naturally report rosier feelings about it. But even with that caveat, the pattern is encouraging. It suggests that hands-on familiarity tends to replace fear with a sense of expanded capability, and that AI augmentation is, for many, a story about doing more of the work they care about.
Why Grounded Research Helps
I want to highlight the methodology as much as the findings. Linking survey responses to real usage data is a more honest approach than either alone, and publishing the limitations alongside the upbeat numbers is the kind of intellectual care this field needs. Good data does not settle the future-of-work debate, but it raises its quality.
The takeaway I draw is a constructive one. When people are given capable AI assistants and the room to learn them, a large share report feeling faster, broader in what they can do, more skilled, and more optimistic. That is a hopeful signal about the future of work with AI — and a reminder that how we introduce these tools, with learning and agency built in, shapes how people experience them.
Sources: Anthropic — "Economic Index: Cadences report" — June 26, 2026; Anthropic Research (anthropic.com/research) — June 2026.