Anthropic’s Head of Economics on AI adoption data, Claude Code, the burden of knowledge & the next generation of experts
In our data in this report, we actually saw a jump in office and administrative usage as a total share of our API traffic, suggesting that businesses are broadening out beyond just coding related tasks in how they choose to sort of deploy the tool into these like back office administrative support
Anthropic’s Head of Economics on AI adoption data, Claude Code, the burden of knowledge & the next generation of experts
For data entry workers, maybe that type of role becomes more, and this is very speculative, so you can push back, but maybe someone needs to manage more the sort of relaying of information that Claude is providing.
Anthropic’s Head of Economics on AI adoption data, Claude Code, the burden of knowledge & the next generation of experts
complicated insights from our last report, but I actually think is quite relevant here, which is the set of things that businesses will do over time to restructure sort of their modernizing data tech stack or new organizational workflows to
Anthropic’s Head of Economics on AI adoption data, Claude Code, the burden of knowledge & the next generation of experts
The historical analog here would be, again, electricity, where factories shifted from centralizing power on the factory floor to more distributed power.
Anthropic’s Head of Economics on AI adoption data, Claude Code, the burden of knowledge & the next generation of experts
how much context do businesses, when they use Cloud through the API, how much contextual information do they provide, and how much output does the model produce?