Zeno's Paradox in AI

A few weeks ago, I heard someone apply Zeno's Paradox to AI, and the analogy has stayed with me.

Zeno's Paradox is a series of philosophical thought experiments from ancient Greece. Its most famous version, Achilles and the Tortoise, argues that a faster runner can never overtake a slower one because Achilles must first reach the point where the tortoise was. By the time he gets there, the tortoise has already moved a little farther ahead. Repeating this reasoning indefinitely suggests that Achilles can never catch the tortoise.

Of course, modern mathematics resolves the paradox. But as a metaphor, it raises an interesting question: What if the destination itself keeps moving?

Some time ago, I heard Alex Karp, CEO of Palantir, argue that the people most likely to thrive in the age of AI will be tradespeople and neurodivergent thinkers. I'm not always a fan of Karp's style, but I think he has a point.

Today's AI is trained on the collective knowledge humanity has accumulated over centuries. It learns from books, research papers, source code, articles, images, and countless other sources. From that foundation, it generates inferences, answers questions, and synthesizes ideas with remarkable speed. In many knowledge-based tasks, humans simply cannot compete on speed or recall.

But speed isn't the whole game.

AI excels at pursuing existing threads of knowledge. Humans create new ones.

That's where curiosity, creativity, and unconventional thinking become invaluable. The competitive advantage is no longer processing information faster than AI—it is asking questions nobody has asked yet, exploring problems others ignore, and redefining the destination before AI has something to optimize toward.

AI will eventually catch up to almost every new idea we produce. But if we continue creating new frontiers of thought, it will always be chasing yesterday's destination. Our role is not to outrun AI on the same path; it's to keep discovering new paths altogether.