Let’s be clear: the findings from the Anthropic study are alarming. Men with typically male names are using AI coding agents more than twice as often as their female counterparts. This isn’t just a minor discrepancy; it’s a glaring inequality that demands attention. Economists are leading the charge at 39%, while education researchers lag behind at a mere 4%. Why does this matter? Because this gap in AI usage reflects a broader issue of gender disparity in tech and research. If you ignore this, you lose time. The implications are profound. Who is advancing in the age of AI? Clearly, men are taking the lead, while women are left behind. This changes the game. It’s time for organizations to confront this divide head-on and ensure equal access to AI tools for all researchers, regardless of gender. The future of social science research depends on it.