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A new Prospect essay argues that the danger of AI catastrophe is difficult to picture precisely because it has not happened yet. Philosopher Sasha Mudd contrasts that abstract risk with the vivid promises of abundance and technological progress used to defend pressing ahead.
Why it mattersMudd argues that waiting for disaster to make the danger feel real could mean learning the lesson too late. The essay is an argument about how society weighs AI’s possible harms against its imagined future, not evidence that catastrophe is inevitable.
Discuss: Can credible warnings justify restraint before harm is visible, or should policy wait for firmer evidence?
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