AI widens vision. But without insight, it narrows it

"Artificial intelligence is everywhere. It fuels boardroom debates, guides priorities, defines access to information, and nudges consumer experiences. But while AI promises sharper insights and faster action, it also accelerates blind spots leaders already struggle with. The paradox is this: AI can widen vision, but if used without the right insight, it narrows it. And when those blind spots meet the speed of AI adoption, the consequences multiply."

"I've seen this play out across industries-through my leadership roles at Google, Maersk, and Diageo, and in advising executives shaping some of the world's largest organizations. The pattern is clear: technology does not pause at blind spots. Instead of alerting us, it often erases traces-until the competitive edge quietly slips into commoditization. Here are three ways AI makes blind spots bigger and how to shrink them. 1. Data Without Context is a False Comfort"

AI permeates decision-making and consumer interactions, offering faster insights while amplifying existing organizational blind spots. The technology can expand visibility but, without proper insight and context, it constricts thinking and accelerates misjudgments. AI systems reflect the scope of their data: generative models follow probability and agentic systems act on trained inputs, making outputs contingent on available context. Leaders can misinterpret precise AI outputs as reality, and rigid KPIs can hide market shifts. Misaligned incentives and locally applied business rules drive sub-optimization. When scaled, AI can lock inefficiencies in place and hasten commoditization of competitive advantages.

Read at Fast Company