Should you use AI for a task? Here’s a simple way to decide | Bruce Schneier
Security technologist Bruce Schneier draws on a framework from AI researcher Daniel Meissler to help people think through when using AI is genuinely useful versus when it shortcuts something worth doing yourself. The context is his own students using AI for writing assignments at Harvard and the University of Toronto.
Why this matters: The gym analogy is the right frame. You do not hire a personal trainer to lift the weights for you. Some tasks are the point — doing them is how you get better, think harder, or develop judgment. AI is genuinely useful when the output is what matters and the process is just friction. But a lot of knowledge work is the opposite. Students writing papers, analysts working through a problem, lawyers drafting arguments — the struggle is where the skill lives. Outsourcing that to a model does not save time. It skips the part that was worth doing.
Who should care: General readers · AI governance · Policy
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