This Econ Index is also the first to survey Claude users. Over 1/3 expect AI to be able to do most or nearly all of their work tasks within a year. But those who delegate the most work to AI are also the most optimistic about what it means for their pay and job security.
ECONOMY
-

Econ Index Tracks Claude’s Artifacts by Use
By
–
The Econ Index now tracks artifacts—the primary output Claude produces in a session. We analyzed Claude conversations and compared how often each artifact was used for work, coursework, or personal life. Blogging is mostly a work activity; translation falls in between.
-
Anthropic advances study of Claude’s economic impact with hourly data
By
–
To keep pace with AI progress, we're advancing how we study Claude's economic impact. Hourly sampling and survey data show us how the cadences of life shape usage, what people produce with Claude, and how perceptions of AI's impact may be changing.
-

Warning: US focus on winning AI race may cause global catastrophes
By
–
“America’s preoccupation with “winning” the AI race with China could well lead to unprecedented catastrophes, even catastrophes on a global scale. Not all games are zero-sum, and if this fact doesn’t start playing a bigger role in American policy discourse, the AI revolution
-

AI concentration risk demands rebel alliance against power and wealth
By
–
The biggest risk in AI is concentration: of power, capabilities and economic wealth. Who can doubt it with trillion dollar companies and government now already controlling a massive part of it? So we need more rebels and more rebel alliance like this one from @usv and friends.
-
Critique of Hiring AIs Over Humans
By
–
You multiply the reasons why it's better to hire AIs than humans Cheaper
Never complain
Always happy
Work day and night You make human work uncompetitive -

Erik Bryn’s praise for Azeem’s GenAI Economy data collection
By
–
What an amazing collection of data about the GenAI Economy! Kudos to @azeem and his team.
-
Gary Marcus: AI scaling is capital misallocation, but early days
By
–
“Gary Marcus … says that investments into scaling AI is the “greatest capital misallocation in history” which leaves everyone “on the hook”. However, he also says that it is still early days for the AI industry and further exploration into different model architectures and the
-
US blocking model releases forces labs to keep models and integrate
By
–
The logical (and unfortunate) consequence of the US government blocking model releases is that the labs would have to keep the best models to themselves and vertically integrate into intelligence heavy industries to generate revenue
-

@garymarcus — 2026-06-26
By
–
“If there is a deflation of the AI bubble, the optimists say that the new infrastructure will remain even if the companies do not — just as railways survived the 19th-century railway bust. However, this fails to reckon with the reality of depreciation (few pieces of silicon hold
