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01 April 2026 / Essay
You are three paragraphs into an AI-generated strategy brief when something shifts: it’s not an error as the data check out and the reasoning holds but the analysis is pushing against something you have believed for a long time about your market position. The discomfort sits in your chest like a meal that has not settled. Your cursor drifts to the “regenerate” button on the AI application and you click it. The second version arrives softer, closer to what you already think. You use that one and, in doing so, you select the output you will forget by Friday.
You are three paragraphs into an AI-generated strategy brief when something shifts: it’s not an error as the data check out and the reasoning holds but the analysis is pushing against something you have believed for a long time about your market position. The discomfort sits in your chest like a meal that has not settled. Your cursor drifts to the “regenerate” button on the AI application and you click it. The second version arrives softer, closer to what you already think. You use that one and, in doing so, you select the output you will forget by Friday.
This essay is part of a curated feed from senior fellows and experts from The Conference Board regarding AI business transformation. For more information, please see our Navigating AI hub for more critical insights.
Dr. Carmen Simon, cognitive neuroscientist and chief science officer at Corporate Visions, ran an experiment that sheds light on this. She measured brain responses via electroencephalogram (EEG) as participants received AI-generated insights in buyer–seller interactions. Some were strong, grounded in multiple data points and revealing surprising connections; others were weak, based on single observation with no c
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