US Programming Jobs Plummet 27.5% Amid AI Surge, Lowest Since 1980

March 25, 2025
US Programming Jobs Plummet 27.5% Amid AI Surge, Lowest Since 1980
  • Computer programming jobs in the U.S. have experienced a significant decline of 27.5% over the past two years, marking the lowest number of programmers since 1980.

  • This decline coincides with the rise of AI chatbots like ChatGPT, which can generate code quickly and cost-effectively, potentially reshaping the labor market.

  • The broader economic landscape, including a cooling tech job market post-pandemic and high interest rates, has also contributed to job cuts in the tech industry.

  • Experts, including Mark Muro from the Brookings Institution, suggest that the increase in unemployment among programmers may signal the early effects of AI on employment.

  • Despite the challenges posed by AI, research indicates that these technologies often augment human workers rather than fully replace them.

  • In fact, a study by Anthropic reveals that 57% of users employ AI to assist with programming tasks, highlighting its role as a tool for enhancement.

  • While software developer roles have only seen a minimal decrease of 0.3%, routine coding jobs have dropped significantly, indicating a divergence between these fields.

  • Although AI may not completely replace computer programming, it presents a significant challenge to a field that has historically offered lucrative career opportunities.

  • The average salary for programming jobs stands at $99,700, compared to $132,270 for software developers, underscoring the financial implications of these job losses.

  • Routine coding jobs performed by programmers have fallen to levels not seen since 1980, emphasizing the impact of AI on the workforce.

  • According to the Bureau of Labor Statistics, programming jobs are among the top 10 hardest-hit occupations due to these trends.

  • As AI continues to advance, concerns about job security in programming are growing, particularly as it becomes capable of performing tasks traditionally handled by human programmers.

Summary based on 2 sources


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