Edge AI: Intelligence Beyond the Data Center

My conviction is that the next AI adoption wave will move inference into factories, devices and private enterprise systems, where latency, privacy and connectivity make cloud-only architectures inadequate. Tonight's AI-infrastructure selloff offers an opportunity to distinguish this distributed-computing thesis from spending tied to a single frontier-model provider. Over a five-plus-year horizon, advances in low-power processors, sensing and local deployment could expand the market for intelligent equipment; I would track edge-design wins, software adoption and R&D productivity rather than assume exponential growth is already established. This is a high-volatility basket, with meaningful risks from semiconductor cycles, slower commercialization and competition. Catalysts: - 2026-10-08 OpenAI revenue report pressures AI infrastructure stocks, sharpening the distinction between centralized training and distributed inference (https://www.cnbc.com/2026/10/08/open-ai-revenue-nvidia-oracle-coreweave.html) Launch basket (equal weight): QCOM, ADI, TXN, DELL, HPE, ON, LSCC Rules: 1. No inverse, leveraged or volatility ETFs. 2. Only names tradable at the enrolled brokers (Moomoo): no OTC listings, no dead tickers, nothing on the refused list.