Q&A with Claude Code creator and head Boris Cherny on how the title “software engineer” could disappear, why AI may create more jobs than it destroys, and more
Anthropic's Boris Cherny tells me major job loss due to automation really is coming — but job creation is, too.
Context & Ripple Effects
Claude Code’s rapid commercial growth and its position in the emerging AI coding-tools market have made Anthropic a central participant in the debate over how coding work changes. Related coverage has already described developers moving toward an architect-like role and reported that Claude Code can make coding more accessible to non-technical workers.
This interview extends that arc from tool adoption to labor-market framing: automation may eliminate work, but it may also expand the pool of people who can build software and create new work around AI-enabled development.
First-order effects
- Anthropic more explicitly links Claude Code’s value proposition to a changing division of labor: less emphasis on the traditional software-engineer title and more on work that directs, reviews, and applies AI-generated code.
- Developers and employers evaluating AI coding tools get a clearer signal that the relevant question is not only productivity per engineer, but which tasks and roles remain necessary around the tool.
Second-order effects
- AI coding competitors will face pressure to demonstrate that their products augment teams and broaden software creation, rather than merely reduce engineering headcount.
- As coding becomes more accessible to non-technical workers, demand can shift toward governance, review, system design, and implementation support—the functions needed to turn generated code into deployed systems.
Third-order effects
- If this pattern persists, software employment may be organized less around a single professional title and more around task-specialized roles spanning domain experts, AI operators, and technical reviewers.
- The durability of job creation will depend on whether lower barriers to building software generate enough new projects to offset automation of existing development tasks; the coverage supports the possibility, not a settled outcome.
The trend: AI coding tools are pushing software work from manual code production toward AI-assisted orchestration, review, and broader participation in building applications.