AI Amplifies Both Skill and Error, Warns Software Engineer

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A software engineer argues that AI acts as a multiplier, accelerating both good work and costly mistakes depending on the user's judgment and expertise. Drawing on decades of experience, the author notes that AI does not create foolishness but gives it a faster feedback loop and a far larger impact. He recounts early-career anecdotes of overconfident colleagues to illustrate how people have long outsourced their thinking to authoritative-sounding sources. The core risk with large language models, he contends, is that confidently presented errors are harder to detect in unfamiliar domains. His advice: use AI to accelerate execution, but never hand over critical thinking or decision-making to the machine.

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