AI and the Revenge of the Non-Techies

Summary

The essay argues that software engineers, once among the main gatekeepers of digital production, are now facing the disruption they often predicted for other professions. Coding bootcamps framed engineering as a skill almost anyone could acquire, while no-code tools tried to remove developers from the process altogether. AI extends that promise by making code generation cheaper and by presenting agents as a way to reduce the number of engineers needed. The author says this change is being welcomed not only by non-technical workers but also by executives and engineering managers who increasingly treat implementation as an interchangeable production step. However, the essay argues that software engineering was never only about writing code: requirements, architecture, legacy systems, operational failures, trade-offs and accountability remain important parts of the work, even if some of them become automated. It also questions whether AI truly seizes the means of production, since the models depend on concentrated compute, infrastructure, data, capital and proprietary services. The result may be greater access to software creation and higher productivity, but it could also mean that one engineer is expected to do the work of several while providers and companies capture the savings. The central unresolved question is who benefits when AI makes software cheaper to produce.