Historian Jill Lepore says Silicon Valley misreads science fiction and undermines democracy

Jill Lepore has spent her career reading the past closely. Now she is telling Silicon Valley it is reading the future badly.

On the latest episode of TechCrunch's Equity podcast, the historian and staff writer at The New Yorker made a pointed argument: the tech industry is led by bad readers of science fiction, and that misreading has consequences for democracy. Her target is not the genre itself, but the way its tropes are being weaponized as political philosophy.

Lepore's critique centers on what she calls "government by machines." The idea that algorithmic systems can replace human judgment in public administration is not new, but it has gained dangerous currency in an era of AI hype. The problem, as she frames it, is that executives like Elon Musk treat speculative fiction as a blueprint rather than a warning. They read dystopian narratives and see a to-do list.

This is a familiar failure mode. Science fiction has always been a mirror held up to the present, not a prophecy of the future. When a billionaire reads a cautionary tale and decides it is an instruction manual, the genre's moral complexity collapses into a crude engineering problem. The result is a politics that mistakes control for governance and speed for progress.

Lepore's intervention matters because it reframes the debate. The conversation about AI regulation is usually dominated by technical capability and economic incentive. She shifts the focus to literacy. The people building these systems, she suggests, are not just making technical choices. They are making interpretive choices about what stories mean, and those choices are shaping the institutions that govern us.

There is a quiet irony in the timing. The tech industry has spent years telling the public that AI will transform everything, while simultaneously insisting that it cannot be held accountable for the transformation. Lepore's argument cuts through that contradiction. If you cannot read a novel properly, she implies, you probably should not be writing the rules for a society.

The episode is worth a listen for anyone tracking the intersection of AI policy and political power. It is a reminder that the most important questions about technology are not about code. They are about who gets to decide what the future means, and whether they have the humility to understand the stories they are borrowing.