Bing Chen argues that human imperfection may become more valuable as artificial intelligence continues to optimize and remove errors from the world [1].
This perspective suggests that the very flaws AI is designed to erase are the primary drivers of human creativity and breakthrough innovation. As machines achieve perfect execution, the unpredictable nature of human error may become a premium asset in a standardized digital economy.
During a discussion at the Forbes Iconoclast Summit, Chen, the executive chairman, CEO and cofounder of Gold House, spoke with Forbes Assistant Managing Editor Steve Bertoni about the intersection of technology and human intelligence [1]. Chen said that many of the most significant innovations in history arise from human flaws and unexpected combinations that a logical system would likely avoid.
This philosophy aligns with broader recent discussions regarding the role of human intelligence. A related opinion piece published June 7, 2026 [2], explored similar themes regarding why human intelligence still matters. That piece referenced a commencement speech delivered at Bard College in New York on May 23, 2026 [2].
While AI is built to seek efficiency and precision, the human capacity for mistake-making allows for the discovery of non-linear solutions. This tension creates a paradox where the pursuit of technical perfection may inadvertently increase the market value of the imperfect human touch.
Other industry figures have echoed this sentiment. Reports indicate that Reddit founder Alexis Ohanian has made similar arguments regarding the value of imperfection in an automated age [1]. The recurring theme across these discussions is the belief that AI can replicate logic and patterns, but it cannot replicate the creative spark born from a mistake.
“Human imperfection may become more valuable in an AI‑driven world”
The argument highlights a shift in the perceived value of human labor from execution to intuition. If AI commoditizes accuracy and efficiency, the competitive advantage for humans shifts toward 'divergent thinking'—the ability to make the 'right' kind of mistake that leads to a discovery. This suggests a future where cognitive diversity and eccentricity are viewed as economic assets rather than liabilities.
