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Anthropic says its workforce has become less junior and is spending more time in meetings

The composition of Anthropic’s workforce and the type of work getting done have changed significantly in the past year.

In a report published on Friday, AI company Anthropic revealed significant changes in its workforce composition and work habits over the past year. Anthropic suggests that these trends could foreshadow broader shifts in work organization, hiring, and labor demand across the economy. One notable development is that the company is now hiring fewer junior employees, with the proportion of junior-level staff in technical departments dropping from 21% to 14%, and technical hires falling even more steeply, from 27% to 9%.

Anthropic attributes this trend to a "natural expansion of business functions as the company scales," as well as growing capabilities of coding tools that enable non-technical employees to develop software independently.

Furthermore, technical teams now constitute a smaller portion of Anthropic's workforce, declining from 61% to 56%. This shift is explained by the broader incorporation of business functions as the company expands, alongside the increasing ability of non-technical personnel to create software using advanced coding tools.

Anthropic's employees have also reported increased productivity, with 27% crediting their enhanced efficiency to the AI system Claude, and 20% noting that their roles have shifted from executing tasks to managing Claude. The company's report highlights that "human attention and judgment" are increasingly becoming a bottleneck for productivity as Claude generates a massive volume of text that requires reading and organization.

Consequently, meeting time per employee has risen by 20% compared to a year ago, and by 16% for technical contributors. Anthropic attributes this uptick in meeting time to the critical role of "human trust and accountability," with numerous employees emphasizing the indispensable nature of face-to-face coordination.

Written by urgent.news from TechCrunch's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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