The AI ​​technology gap is here, says the AI ​​company, and power users are leading the way

Anthropic history recent research points out that while AI is rapidly changing the way work is done, it has not completely eliminated work. At least, no. But according to Anthropic’s chief financial officer, Peter McCrory, the labor market is “still healthy”, and early signs point to a lack of engagement, particularly among young people entering the workforce.

In an interview on the sidelines of the Axios AI Summit in Washington, DC, McCrory said the company’s new financial report finds little evidence of the deployment so far.

“There is no difference in unemployment” between workers who use Claude “for the most important work in their work in automated ways” – such as technical writers, data writers, and software engineers – and workers who have not been exposed to AI that require “physical contact with technology and the real world.”

But with the adoption of AI spreading across industries, that could shift — quickly. If Anthropic CEO Dario Amodei is to be believed, AI can wipe half of all civil service jobs and cause unemployment to rise to 20% within the next five years.

“The effects of migration can happen very quickly, so you want to set up a monitoring system to understand this before it happens so we can see how it’s doing and determine the appropriate response,” McCrory told TechCrunch.

Staying ahead of the curve is why to follow AI development, adoption, and diffusion are critical, he said.

In theory, McCrory said, AI models like Claude can do anything a computer can do. Instead, most users only look at the top of their capabilities.

He said Anthropic looked at which roles affect which jobs AI excels at, which are automated, and which are related to real-world work situations — areas that could indicate where the migration might come from.

Anthropic’s fifth financial report, released Tuesday, also found that even where there hasn’t been much migration, there is a skills gap between Claude’s successors and newcomers.

Early adopters have the opportunity to get the most out of the model, using it for work-related purposes instead of natural or abstract purposes and in more complex ways, as a “partner” in repetition and feedback.

McCrory said the findings suggest that AI is becoming a technology that rewards those who already know how to use it — and that the workforce that can successfully integrate it into their work will be limited.

That advantage is not distributed equally by land, either. The report also found that “Claude is used more in high-income countries, in the US in high-skilled jobs, and in less specialized jobs.”

In other words, despite the promises of AI as an equaliser, adoption of rich people can already be pursued and can increase those benefits as power users move forward.