Artificial intelligence company Anthropic says its workforce has become less junior and employees are spending more time in meetings as AI tools reshape how work is organised across the company.
In a report published on Friday, Anthropic outlined changes in hiring patterns, employee responsibilities and productivity since early 2025. The findings offer a glimpse into how widespread AI adoption could influence workplace structures and labour demand.
The company said its internal experience may provide clues about how AI could affect other organisations, while cautioning that employers may adopt the technology in different ways.
AI Changes Hiring and Workplace Roles
Anthropic found that the proportion of junior-level employees in its technical departments fell from 21% to 14% over the period. Junior employees also accounted for a smaller share of technical hiring, dropping from 27% to 9%.
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The company reported a decline in the proportion of technical employees across its overall workforce, from 61% to 56%.
Anthropic attributed the shift partly to the natural expansion of business functions as the company grows. It also pointed to AI coding tools that allow employees without traditional technical backgrounds to build software.
The figures suggest that AI may be influencing both how existing employees work and which roles companies seek to fill. However, Anthropic’s experience does not establish that the same changes are occurring across the wider technology industry or economy.
Employees Increasingly Manage AI Tools
An internal Anthropic survey conducted in April 2026 found that 27% of employees felt they had become more productive using Claude, the company’s AI assistant.
Another 20% said their jobs had shifted from performing tasks directly towards managing AI systems.
One employee compared the experience to babysitting, explaining that several AI agents could demand attention at the same time. Their competing requests create a need for human supervision and prioritisation.
Anthropic also identified human attention and judgement as potential bottlenecks to productivity. As AI systems generate more text and other material, employees must spend time reviewing, organising and evaluating the output.
The company described the growing volume of AI-generated content as a challenge for workers who need to identify useful results and decide how to apply them.
Meeting Time Rises Despite AI Adoption
Despite wider use of AI tools, Anthropic said employees were spending more time in meetings.
Calendar data showed that meeting time per employee had increased by 20% compared with a year earlier. Among technical contributors, meeting time rose by 16%.
The company linked the trend to the continuing importance of human trust, accountability and coordination. Employees described face-to-face discussions as essential to their work.
The findings suggest that automating tasks does not necessarily reduce the need for collaboration. Instead, employees may spend more time reviewing AI-generated work, coordinating responsibilities and making decisions.
Anthropic Reports Productivity Gains
The report also highlighted productivity gains associated with AI adoption, including more code produced per employee, more sales completed per representative and faster contract processing.
However, Anthropic acknowledged that producing more code does not automatically lead to better software or greater business value.
The company said it had not found evidence that code quality was declining as output increased.
Anthropic’s findings offer an early look at how a company built around AI is adapting its workforce and working practices. Whether these patterns become widespread will depend on how other employers deploy AI, structure their teams and balance automation with human oversight.
