In the midst of an AI gold rush that has sparked huge investments and multimillion-dollar paydays for top talent, a new study has thrown cold water on the narrative that artificial intelligence is turbocharging developer productivity. Contrary to expectations, the nonprofit METR found that software engineers using AI tools actually completed tasks 19% more slowly, despite their belief that the technology sped them up. While companies like Microsoft increasingly lean on AI to write code and justify workforce reductions, the broader impact on software jobs is murky: the challenges of scaling AI for complex software projects remain significant, and experts point to broader economic trends—not just automation—as drivers of recent layoffs. With the job market tightening and only elite talent securing positions, anxiety simmers among developers uncertain about their place in an AI-driven future.































