Why hasn't AI increased unemployment? (twitter.com)

Recent research has revealed that the anticipated impact of AI on unemployment rates may be less pronounced than expected, primarily because most firms are not fully leveraging AI technologies. The study classifies companies into "low-intensity" and "high-intensity" AI adopters, finding that while low-intensity firms—those investing minimally in AI—exhibit no significant changes in hiring, high-intensity firms, which invest around $30 per employee per month, experience a notable 10% growth in headcount over a two-year period. This finding is significant for the AI/ML community as it challenges the narrative that AI universally leads to job losses. Instead, it highlights a disparity in AI adoption among firms; only a small fraction harness advanced tools effectively enough to drive growth. The implications suggest that for AI to positively influence employment and encourage workforce expansion, companies must exceed a certain threshold of investment in AI technologies, pointing to the importance of scaling AI usage to unlock its full potential in economic development.