AI Coding Tools Put Entry-Level Software Jobs Under Pressure as States Weigh Protections
AI coding tools are putting new pressure on entry-level software jobs, challenging the long-standing pitch that learning to code offers a stable route into high-paying work.
The American Prospect reported that software engineer Zaul Moayedian began his career at Paystand, moved onto an engineering team, and was later laid off after his team adopted AI tools. That account is one example in a broader labor-market dispute over whether companies are using AI to supplement software workers or reduce the need for junior employees.
The strongest evidence does not show an economy-wide collapse in tech work. The Bureau of Labor Statistics still projects employment for software developers, quality assurance analysts, and testers to grow 15 percent from 2024 to 2034, with about 129,200 openings per year.
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But the early-career picture is more troubling. Stanford Digital Economy Lab researchers found substantial employment declines for workers ages 22 to 25 in occupations most exposed to AI, including software development and customer support. The paper found that young workers in highly exposed jobs experienced a 16 percent relative employment decline after controlling for firm-time effects, while older workers were less affected.
That distinction matters. If AI replaces routine junior coding tasks, companies may save money now while weakening the training ladder that produces experienced engineers later.
California is already treating the issue as a policy problem. Gov. Gavin Newsom issued an executive order directing state agencies to prepare for AI-driven workforce disruption, including better tracking of hiring and payroll trends. A pending California bill, SB 951, would require advance notice before AI or automation causes displacement affecting 25 or more workers or 25 percent of a workforce.
The practical consequence is clear: AI may not eliminate software careers, but it could make the first rung much harder to reach.
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