Anthropic studied its own engineers to see how AI is changing work

"AI is changing work, and Anthropic studied its own staff to learn exactly how. In a blog post published on Tuesday, Anthropic shared the findings of its August research study, which surveyed 132 of its engineers and researchers, had 53 detailed interviews, and examined the internal use of Claude Code, Anthropic's agentic coding tool. The study aimed to understand how AI is transforming work at the company and society more broadly."

"Results showed that employees felt they were more productive and "full stack," meaning they could perform a variety of technical tasks. For example, the study found that 27% of the work that was assisted by Claude consisted of tasks that would not have been done otherwise. These include scaling projects or nice-to-have data dashboards that would not have been cost-effective if done manually."

"But employees also expressed concerns about how common AI assistants like Claude were becoming. "Some found that more AI collaboration meant they collaborated less with colleagues; some wondered if they might eventually automate themselves out of a job," the blog read. Employees said they were worried about the "atrophy of deeper skillsets" needed to write and check code. "When producing output is so easy and fast, it gets harder and harder to actually take the time to learn something," one employee said, per"

Anthropic surveyed 132 engineers, conducted 53 interviews, and analyzed internal use of Claude Code during August. Engineers reported higher productivity and broader "full stack" capabilities, with 27% of Claude-assisted work consisting of tasks that would not have been done otherwise, such as scaling projects and nice-to-have dashboards. Employees reported being able to fully delegate 0–20% of work to Claude for easily verifiable or boring tasks. Employees also expressed concerns about reduced colleague collaboration, the risk of automating themselves out of jobs, atrophy of deeper coding skillsets, and that rapid output generation can reduce time spent learning.

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