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AI fatigue is a growing phenomenon as workers struggle to keep up with rapid AI adoption; experts urge better organizational preparation to alleviate burnout.
The article deeply analyzes the internal changes Anthropic faces as AI-generated code becomes extremely efficient: the bottleneck shifts from 'writing' to 'verification', traditional management, long-term planning, and effort measurement become ineffective, attention becomes the new scarce resource, and engineers even feel lonely. These phenomena foreshadow the challenges other companies may face in the future.
A speculative look at how enterprise operations and internal coordination roles will be transformed by AI by 2032, with a focus on work disappearing in form but not in substance.
The article notes that the cost of replacing human employees with AI may be comparable to or higher than that of real employees, and humans have an inherent preference for human interaction. Thus, large-scale AI substitution faces two significant hurdles: cost and user experience.