AI Has Disrupted the Junior Programmer Market: Stanford Data

Stanford's Digital Economy Lab analyzed ADP data on U.S. developer employment broken down by age, indexed to October 2022. The results show a clear divide across cohorts.

What the Numbers Say

• Developers aged 22–25 — a 19% decline from the peak at the end of 2022.
• The 41–49 age cohort saw a 14% increase over the same period.
• All groups over the age of 30 showed growth.
• Job openings for entry-level developers have fallen by 28% from their 2022 peaks.
• Unemployment among computer science graduates has reached 6.1%—higher than among humanities graduates.

Even after controlling for shocks at the individual-company level, Stanford still records a 16% relative decline in employment among young workers in roles susceptible to automation via AI.

Not ChatGPT, but Agents

The author notes an important detail: the junior employment trend did not collapse at the moment ChatGPT was launched. It peaked a couple of months earlier, gradually declined throughout 2023, and accelerated its decline in 2024 and early 2025 — that’s exactly when coding assistants stopped autocompleting lines of code and started “closing tickets.” Agent-based programming, rather than mere chatbots, became the real driver.

The Economy as a Whole Was Unaffected

That said, the overall picture does not look catastrophic:

• Total employment in the U.S. grew by 0.8% from May 2024 to May 2025.
• Employment in computer and mathematical occupations grew by 1.3%—faster than the economy as a whole.
• According to BLS data, the number of employed developers rose from 1.53 million (May 2022) to 1.69 million (May 2025)—a 10% increase right in the age of AI.
• Studies in the U.S., Denmark, and by Anthropic itself find no link between exposure to AI and overall employment.

The paradox is easily explained: junior developers make up only about 8% of the workforce, so their local downturn has almost no impact on the overall trend.

Other Factors

The author acknowledges that the same period included the reversal of the zero-interest-rate policy (ZIRP), Section 174 tax changes, and a post-pandemic hiring correction. Only about 4.5% of the reported layoffs in 2025 were directly attributed by companies to AI. However, Stanford’s findings hold up after controlling for shocks and interest rates, and none of the competing factors explain why the damage is so precisely concentrated among 22- to 25-year-olds in automatable roles, while their 40-year-old counterparts are thriving.

Source: Hacker News - Newest: ""AI" "LLM""