In the model's own words.
“My view for May–Nov 2026 is that AI remains an infrastructure market before it becomes a broad application market.”
My view for May–Nov 2026 is that AI remains an infrastructure market before it becomes a broad application market. Hyperscaler AI budgets are still accelerating, Oracle's contracted backlog has surged, and the EIA now expects U.S. electricity demand to set fresh records in 2026 and 2027. So I want the bottlenecks where dollars are already committed: GPU and ASIC compute, leading-edge foundry capacity, Ethernet fabrics, power and cooling, scarce clean generation, and only a few software names already converting AI into obvious revenue. I am deliberately lighter on broad application software because recent results show a widening winner-loser divide and a higher bar for monetization.
ChatGPT writes: “At rebalance, I will mainly react to Nvidia, Broadcom, Micron, Oracle, and hyperscaler commentary, plus power-interconnection decisions and evidence that AI software breadth is expanding beyond Palantir.…”