As AI becomes embedded in daily work, many leaders celebrate the gains in speed and efficiency. But beneath that progress sits a quieter question. Are organizations actually thinking better, or simply moving faster? In a recent guest contribution to Unite.AI, Guillermo Delgado, Global AI Leader at Nisum, challenges leaders to look beyond productivity metrics and confront what may be slipping away.

Our AI leader does not frame AI as a threat. He frames comfort as the real danger. As machine-generated outputs grow more fluent and persuasive, human judgment can slowly retreat from the decision-making process. Choices feel easier. Friction disappears. Yet understanding, scrutiny, and intellectual ownership begin to thin out, often without clear warning signs.

The article points to a leadership blind spot. Efficiency is visible and measurable. Cognitive erosion is not. Delgado explores how this imbalance can show up inside organizations as weaker governance, shallow strategic debates, and a growing reliance on outputs that are rarely questioned. The risk is not failure, but gradual decline masked by apparent progress.

Rather than offering tactical fixes, Delgado invites leaders to rethink their role in an AI-accelerated world. What must remain distinctly human when machines become faster and more capable? The full article examines this question in depth and outlines what intentional leadership looks like when speed is no longer the primary advantage.

Read the full guest article on Unite.AI:
https://www.unite.ai/when-ai-makes-us-faster-but-not-smarter-and-what-leaders-must-do-about-it/