This conversation explores the high failure rate of artificial intelligence initiatives, attributing these setbacks to a technosolutionist mindset that ignores human psychology. To improve investment returns, the author advocates for a Behavioral Human-Centered AI framework that prioritizes human cognitive patterns, such as algorithm aversion and loss aversion, over mere technical accuracy. Successful adoption requires organizations to shift their focus toward change management, transparent communication, and framing AI as a tool for human augmentation rather than total replacement. By integrating behavioral science into the design and governance phases, leaders can mitigate employee resistance and ethical risks. Ultimately, the source argues that AI value is realized only when systems are aligned with how people actually think and work.

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