"AI feels like clarity. You ask a question. You get an answer. It's structured. Immediate. Confident. But that clarity comes at a cost. AI narrows your field of view (like blinders on a horse) removing the noise, but also removing the periphery: You don't see everything. You see what's been selected for you. That's tunnel vision. And in fast-moving environments, it feels like an advantage. Until it isn't."
"In the past, understanding a problem meant navigating multiple perspectives, often messy, sometimes contradictory, always incomplete. That friction forced thinking. AI removes that friction. It pulls from multiple sources, filters them, structures them, and delivers a single, coherent answer. Something that feels resolved. Something that feels complete. But every consolidation is also a reduction. What you receive is not the full landscape. It is a constructed version of it."
"Because it is clean and immediate, it's far more likely to be accepted without question. This is where tunnel vision deepens. Not just in what we see, but in what we believe through the consolidation of truth. The Illusion Of Learning: When Completion Becomes The Goal Now layer this into most organizational learning environments. For years, L&D has relied on a simple proxy for success: Completion. Courses completed."
AI shifts how people see, decide, and believe they have learned. It can create tunnel vision by presenting structured, confident answers that narrow the field of view and remove peripheral information. It can also consolidate truth by pulling from multiple sources, filtering and structuring them into one coherent response, which feels complete while reducing the full landscape. In learning environments, success metrics often focus on completion, such as courses finished. When combined with AI’s immediate, resolved outputs, completion can become an illusion of learning, increasing organizational risk when these patterns operate together.
#ai-in-learning--development #decision-making-bias #information-consolidation #learning-measurement #organizational-risk
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