Blue wave sends AI stocks plunging, $2.5 trillion lost

The midterm elections put data centers directly on the ballot in 41 states, and many candidates who opposed them or called for tighter AI restrictions won. That political shift is what triggered the selloff: investors now expect AI spending to face real-world friction, not just hype. John Furrier of theCUBE Research called the market reaction a "bloodbath" and noted that AI has become a "political football," meaning the technology's mainstream status now cuts both ways.

Beneath the immediate shock, theCUBE's Dave Vellante points to a longer timeline for AI monetization. He argues that while companies selling GPUs are profitable, enterprises are not yet self-funding their AI efforts, and clear evidence of enterprise monetization is only starting to appear within tech companies themselves. That gap between infrastructure spending and enterprise payback suggests the current volatility may be a preview of a longer adjustment.

The podcast also highlights a shift in what will matter next. Furrier expects the infrastructure to move beyond GPU-centric computing toward networking, optics, memory, storage and power efficiency, citing Marvell's $115 billion acquisition of Lumentum as one sign. Meanwhile, the fight over the "system of intelligence" that governs enterprise AI remains open, with Databricks CEO Ali Ghodsi earning Vellante's praise for having the best vision, though whether Databricks can pull it off is still uncertain.