The A.I. Underground

semiconductor
One realm in need of exactly this kind of practical advancement is materials science—think better battery technology, more powerful solar panels, more efficient engines, faster planes, better semiconductors, etcetera. Photo: Fang Dongxu/VCG/Getty Images
Ian Krietzberg
November 11, 2025

Join Puck to listen to this article

Over the past few years, the astronomical, market-bending reallocation of capital into A.I. has been predicated on a simple thesis: It will take trillions of dollars, thousands of data centers, and hundreds of new power plants to unleash a transformative superintelligence. “It’s hard to even imagine today what we will have discovered by 2035,” Sam Altman wrote in June. “Maybe we will go from solving high-energy physics one year to beginning space colonization the next year, or from a major materials science breakthrough one year to true high-bandwidth brain-computer interfaces the next year.” Heavy cake.