AI fatigue is real and nobody talks about it | Siddhant Khare
Engineers building AI infrastructure are burning out not because they are weak, but because AI turned them from creators into reviewers. The cognitive drain of constant code review without the satisfaction of creation leads to AI fatigue.
AI Summary
AI fatigue is a significant issue, stemming from the transformation of engineers into mere reviewers rather than creators. This shift leads to cognitive exhaustion as constant code reviews replace the satisfying act of creation, ultimately resulting in burnout. For example, engineers experience a draining workload without the fulfillment that comes from developing new technology. Key Information Breakdown: - Core claim: AI fatigue arises from the shift in engineers' roles from creators to reviewers. - Cause of fatigue: Continuous code review without the satisfaction of creation. - Consequence: Increased risk of burnout among engineers. - Date added: February 11, 2026. - Summary: Engineers building AI infrastructure are burning out due to the cognitive drain of their changed responsibilities. - Link: AI Fatigue is Real.
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