The makeup of Anthropic's staff and the nature of tasks performed have shifted notably over the last year, as detailed in a report released by the AI firm on Friday.

Anthropic suggests these internal patterns may signal broader changes in work structure, recruitment, and workforce needs economy-wide, given how deeply the company has integrated AI into its processes. Even if other firms do not adopt AI to the same extent, the findings provide insight into the company's current operations.

Particularly, the company is hiring fewer entry-level staff, with junior employees in technical areas dropping from 21% to 14% since early 2025, and new junior technical hires falling from 27% to 9%.

Technical groups now make up a reduced portion of the total workforce, declining from 61% to 56%. This is linked to the growth of non-technical departments as the business expands and to AI coding assistants enabling non-technical staff to handle software tasks independently.

An employee mentioned constant pressure to accelerate work and utilize Claude extensively. A survey from April 2026 showed 27% of staff reporting higher productivity from Claude, while 20% noted their roles had changed to overseeing Claude instances, with one likening it to childcare where multiple demands require constant attention.

The analysis indicates that human focus and decision-making are turning into a constraint on output, since Claude generates large volumes of content requiring review and structuring.

Expectedly, the report claims AI use has boosted efficiency, shown by increased code output per developer, higher sales per salesperson, and more contracts handled. While acknowledging that greater code volume does not guarantee improved quality or results, no signs of reduced code standards have been observed.

According to scheduling records, time spent in meetings per staff member has risen by 20% over the past year, and by 16% for those in technical roles. The firm credits this to the value of personal trust and responsibility, with workers emphasizing the need for in-person collaboration.