Navigating the Deskilling Risk in Enterprise AI Adoption
EXECUTIVE SUMMARY NTX - THE STUDIO OF THOUGHT
Organisations investing in large-scale AI adoption face a risk that rarely appears in productivity dashboards, such as implementation timelines, or standard ROI frameworks. That risk is the gradual erosion of cognitive capacity: the structured, evaluative, and disciplined thinking that makes AI tools produce value rather than noise at scale.
AI is expected to function as a multiplier, amplifying the quality of the input it receives. The user needs only to structure a problem, evaluate an output, and edit errors; and AI extends that capacity significantly. Where the user cannot perform, AI accelerates the production of plausible-looking, unverified output, and removes the friction that would otherwise prompt correction
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