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Factory work, admin roles, data entry, retail management, and customer service didn't require much experience. They weren't glamorous, but for an 18-year-old with no credentials and no connections, they were the way in, and they made the next job easier to get.

Automation took the most routine roles first, like data entry, basic processing, and repetitive customer service. Now AI is doing the same to entry-level white-collar work: between late 2022 and mid-2025, employment for new workers in the jobs most exposed to AI fell 6%, while older workers in those same fields saw employment grow.

The gig economy absorbed much of what remained, swapping stable entry-level employment for flexible work that offers no progression, no training, and no way up.

Why did automation hit routine jobs first?

In a 2003 paper, economists David Autor, Frank Levy, and Richard Murnane argued that computers substitute for tasks that follow explicit rules, because those are the easiest to write as code. Data entry, bookkeeping, and filing fit that description, while tasks requiring judgment or physical adaptability were harder to automate. The result, which Autor and others documented, was that US employment grew at the high-skill and low-skill ends while middle-skill routine jobs shrank. Economists call the pattern job polarization.

Why does a first job shape later pay?

Entry-level work teaches things job postings rarely list: punctuality, taking direction, working with customers, and the habits of a specific workplace. It also produces a work history, which is what the next employer reads. Economist Lisa Kahn found in a 2010 study that US college graduates who entered the labor market during a recession earned lower wages for well over a decade than those who graduated in better years. Economists call this lasting effect scarring.

Why do gig jobs lack a career ladder?

Work paid by the task and done as an independent contractor usually has no employer-run training or promotion structure, because those are features of an employment relationship. Each job starts from zero, so the experience rarely adds up to a recognized step upward. Surveys such as the US Bureau of Labor Statistics' contingent worker supplement have long tracked how this kind of arrangement differs from traditional employment.

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