Sim-to-real gap analysis explains modest frontier AI impact

The author argues that a robotics concept known as the sim-to-real gap explains why the real-world impact of frontier artificial intelligence has been surprisingly modest outside of domains like programming, mathematics, and cybersecurity. While tasks with simple, static environments like walking, chess, and coding are easy to simulate and transfer successfully to reality, most white-collar professions and complex robotic tasks involve hard-to-simulate variables. Consequently, the author is skeptical that general-purpose AI agents will rapidly overrun industries like finance, law, and social work in the near future. Open article →