It was 10:30 PM. The kids were asleep, the meeting summaries were done, the inbox was triaged... and the laundry was still on the floor. In the first episode of Chaotic Commits, I, a software engineer with a PhD and 15 years in tech, ask the question that lies hidden in that moment: Who is AI actually efficient for?

From Amazon's infamous gender-biased recruiting algorithm to building AI tools for exhausted radiologists, this episode explores why the productivity revolution keeps skipping over entire categories of human labor, and why diverse teams aren't just a values issue; they're a design quality issue.

If you've ever wondered why the best AI tools feel built for someone else's life, this episode is for you.

Topics: AI bias, ethical AI, women in tech, inclusive design, transparent systems, diversity in engineering, workplace productivity, healthcare AI