Anthropic recent research Although artificial intelligence is rapidly changing the way work is done, it shows that it is not significantly eliminating jobs. At least, not yet. But with a “still healthy” labor market, early signs point to an uneven impact, particularly for younger workers just entering the workforce, according to Peter McCrory, Anthropic’s head of economics.
In an interview on the sidelines of the Axios AI Summit in Washington, McCrory said the company’s latest economic impact report found little evidence of widespread job displacement to date.
“There is no significant difference in unemployment rates” between workers who use Cloud for “the most basic tasks of their jobs in automated ways,” such as technical writers, data entry workers, and software engineers, and workers in jobs less exposed to AI that require “physical interaction with the real world and flexibility.”
But that could change rapidly if AI adoption spreads across industries. If Anthropic CEO Dario Amodei is to be believed, AI might delete half increasing the number of all entry-level white-collar jobs and reducing unemployment to 20% within the next five years.
“Displacement effects can happen very quickly, so you want to create a monitoring framework to understand this before it happens so that we can catch it as it happens and ideally determine the appropriate policy response,” McCrory told TechCrunch.
Staying ahead of these trends is why tracking He said that the development, adoption and diffusion of artificial intelligence is very important.
In theory, McCrory said, AI models like Claude could do almost anything a computer can do. In practice, most users only scratch the surface of these possibilities.
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He said Anthropic is looking at what roles AI is particularly good at filling, which are already automated and tied to real-world use cases in the workplace — areas that signal a shift could occur.
Anthropic’s fifth economic impact report, released Tuesday, found a growing skills gap between early Claude adopters and newcomers, even where there hasn’t been much displacement yet.
Early adopters will derive significantly more value from the model, using it as a “thought partner” for work-related tasks and in more complex ways, such as iteration and feedback, rather than for random or one-off purposes.
McCrory said the findings indicate that AI is becoming a technology that rewards those who know how to use it, and that workers who can effectively incorporate it into their work will increasingly gain an advantage.
This advantage is not evenly distributed geographically. “Claude is used more intensively in high-income countries, where there are more knowledge workers in the United States, and for relatively small specialized tasks and occupations,” the report added.
In other words, despite AI’s promise as an equalizer, adoption may already be skewed toward the wealthy, and power users may reinforce those advantages as they become more advanced.
