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    AI Is Unsafe Until It Learns to Stabilize

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AI is overloading our brains—what leaders should do now

Understanding Backpropagation, the Core Neural Network Algorithm
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As companies rush to embed AI into everyday workflows, new research suggests the tools may be intensifying work rather than easing it. An eight-month ethnographic study of 200 employees by Aruna Ranganathan and Xingqi Maggie Ye found AI increased job demands, while BCG reported “brain fry” as users layered AI prompting atop existing duties, degrading performance. The NeuroLeadership Institute argues the culprit is cognitive overload: humans can hold only three to five items in working memory and pay steep switching costs—often 20-plus minutes—to regain focus after task changes. The remedy, they say, is managerial, not just technical: protect systematized quiet time, shift performance management toward outcomes over hours, train employees to use AI as a thinking partner via metacognition, and encourage restorative breaks. Without guardrails, organizations risk more errors and burnout; with them, AI can augment insight rather than exhaust it.

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