Nvidia’s Earnings Calm AI-Bubble Jitters — But Contradictions in the AI Race Remain

21st November 2025

Nvidia’s latest quarterly results delivered a decisive message to global markets: demand for AI infrastructure is not only real but accelerating at pace. Strong data-centre revenues lifted technology indices and eased near-term concerns that the sector was tipping into bubble territory.

Yet the optimism highlights a deeper contradiction within the trillion-dollar AI race. Companies are channelling unprecedented capital into compute, chips and cloud capacity, while uncertainty persists over where long-term value will ultimately be captured. Investors remain divided on who stands to benefit and whether structural bottlenecks — from supply-chain constraints and skills shortages to rising energy demand — will curb the very growth that markets are pricing in.

For commodity markets, Nvidia’s performance is not merely a technology story. It underscores the physical foundations of AI. Sharp growth in demand for advanced chips is increasing pressure on raw-materials sourcing, logistics networks and energy infrastructure. Businesses treating AI as a purely digital revolution risk overlooking the material inputs that enable it.

At Gapuma Group, our approach remains clear: assess AI-driven demand through a supply-chain lens, examine exposure to single-supplier chokepoints, and strengthen ethical, transparent sourcing as infrastructure investment intensifies. In short, participate in the opportunity whilst hedging the structural risks beneath it.