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AI’s Cyborg Problem: You Have to Embrace It to Really Succeed but 90% of People Can’t or Don’t Want To

A recent study by AI researcher Vivienne Ming identified three ways people use generative AI: automators who offload thinking, validators who merely confirm biases, and a small minority of "cyborgs" who tightly integrate human judgment with AI output. The cyborgs, representing roughly 5‑10% of participants, consistently outperformed both the best humans and the best AI models, regardless of the model’s sophistication. Ming traced this advantage to four human traits—curiosity, fluid intelligence, intellectual humility, and perspective‑taking—while noting that most workers experience a 40% drop in cognitive engagement when they rely on AI. Business leaders, from McKinsey to EY, warn that the real challenge is cultivating these traits, not merely deploying technology.