Anthropic Engineers Reveal AI Productivity Gains Come With Deep Concerns About Job Security

Reviewed byNidhi Govil

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Anthropic conducted an internal study of 132 engineers to understand how AI is transforming work at the company. While employees report significant productivity gains and can delegate up to 20% of tasks to Claude Code, they're also expressing concerns about losing technical competence, reduced collaboration with colleagues, and fears of becoming irrelevant as AI capabilities advance.

Anthropic Examines AI Workforce Impact Through Internal Research

Anthropic turned the lens inward in August, conducting an internal study that surveyed 132 engineers and researchers, performed 53 detailed interviews, and analyzed internal usage data for Claude Code, its agentic coding tool

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. The startup, last valued at $183 billion in September, sought to understand how AI use is radically changing the nature of work for software developers at the company, which employs 3,000 people

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. The findings, published Tuesday in a blog post, reveal a complex picture of transformation generating both hope and concern among the workforce.

Source: Benzinga

Source: Benzinga

AI Boosting Productivity Across Technical Tasks

The Anthropic internal study found that engineers are getting significantly more work done with AI tools at their disposal. Workers reported they could fully delegate up to 20% of their tasks to Claude, primarily tedious work that was easy to verify

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. Notably, 27% of Claude-assisted tasks were projects that would not have happened otherwise, such as scalable builds or data dashboards considered too time-consuming without AI support

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. The AI is accelerating learning and iteration speed while enabling workers to tackle previously-neglected tasks and succeed at technical tasks beyond their usual expertise

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. Employees felt more "full-stack" in their capabilities, handling a wider range of technical challenges with automation support

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Source: Inc.

Source: Inc.

Engineer Concerns About Skill Atrophy and Losing Deep Technical Competence

Despite the productivity gains, workers expressed significant anxiety about losing deeper technical competence in favor of breadth

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. Many worried about losing coding skills like writing and critiquing code, with one employee noting that "when producing output is so easy and fast, it gets harder and harder to actually take the time to learn something"

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. Others worried they'll become less able to effectively supervise Claude's outputs over time

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. One employee noted in an interview that it is more difficult to learn when coding assistants like Claude are readily available to code solutions

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. This concern about skill atrophy represents a fundamental tension in the future of work as AI agents become more capable.

Reduced Human Collaboration and Mentorship Opportunities

The study revealed that AI tools are reshaping workplace social dynamics in unexpected ways. Employees often turn to Claude with questions rather than their peers, resulting in fewer opportunities for mentorship and collaboration

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. "Some found that more AI collaboration meant they collaborated less with colleagues," the study noted, with one employee saying, "I like working with people, and it's sad that I need them less now"

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. This erosion of human collaboration could have long-term implications for how technical knowledge is transferred within organizations and how teams build cohesion through shared problem-solving.

Job Displacement Fears and Fears of Becoming Irrelevant

Perhaps most strikingly, Anthropic engineers expressed genuine uncertainty about their long-term job security. One employee said in the report: "It kind of feels like I'm coming to work every day to put myself out of a job"

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. Another noted it was "hard to say" what their job might look like in the next few years, while others said they were "optimistic in the short term" but predicted that "AI will end up doing everything" in the long run

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. One engineer told researchers: "I feel optimistic in the short term, but in the long term I think AI will end up doing everything and make me and many others irrelevant"

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. These concerns are particularly notable given they come from engineers at a leading AI company who understand the technology's trajectory.

Source: Entrepreneur

Source: Entrepreneur

Industry Leaders Weigh In on AI's Impact on Workflows

The findings align with broader industry discussions about AI's role in transforming work. Anthropic CEO Dario Amodei said in March that AI will write all code for software developers within a year, adding, "On the jobs side of this, I do have a fair amount of concern"

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. OpenAI CEO Sam Altman said in September that artificial intelligence was likely to replace up to 40% of work tasks in the near future, arguing that AI would reshape tasks more than entire jobs

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. ServiceNow CEO Bill McDermott said in August that AI agents were already managing IT support, customer inquiries and security tasks around the clock, and that the company slowed hiring for "soul-crushing jobs"

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. A separate report on AI in the workplace released in January by McKinsey found that nearly all employees (94%) report familiarity with AI tools and the majority of workers (59%) describe themselves as optimistic about AI, though top concerns include cybersecurity, inaccuracy and workforce displacement

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. As AI continues to advance, software developers and other technical workers will need to watch how their roles evolve, whether new types of work emerge to replace automated tasks, and how organizations address the trade-offs between efficiency and skill development.

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