AI's real value may be routine work, not genius: essay

The essay, part of a new platform to host independent voices exploring an AGI future, frames a tension that has been building for decades. It points to the James Webb Space Telescope—a ten-billion-dollar observatory built by three hundred organizations across fourteen countries—as proof that frontier science now demands far more than a few brilliant minds. The underlying research by Nick Bloom and coauthors quantifies this: the technician workforce is growing twice as fast as the scientists, specialized equipment use has doubled over four decades, and a chip fab today is five times as costly as thirty years ago.

What makes the argument notable is its implication for AI. The essay suggests that as AI grows capable of arriving at brilliant insights on its own, it may supply both agendas and labor, potentially exploding the number of worthwhile ideas beyond what any infrastructure can absorb. This could shift the scarce input from execution toward taste—the ability to decide what is worth making. But the essay also allows for the opposite: that physical reality may impose hard limits, making institutional intelligence more valuable than genius.

The stakes hinge on whether thought can travel far before it must make fresh contact with reality. For business leaders, the practical read is that the next wave of AI value may accrue less to those chasing breakthrough creativity and more to those who can coordinate the sprawling, unglamorous machinery of execution—or to those who can innovate leaner ways to do it.