OpenAI researchers are now running an average of 3.1 agent workdays for every single human workday—and the top 10% of engineers are burning through over $7,000 worth of tokens every day.
In this video, we break down OpenAI's massive inflection point: how autonomous AI agents flipped from doing less work than humans to outworking them by 3x in just a matter of months. We explore what this means for recursive self-improvement, the staggering cost of running multi-agent workflows, and why managing agent swarms is fundamentally changing the nature of human knowledge work.