The bottleneck of AI development in 2026 has shifted from "whether models will be smart" to the most hardcore physical and engineering constraints: electricity, chip supply chain, and data center construction. These 'dirty and tiring jobs' are the key to determining who can win at the moment. In summary, the ceiling of the model has not yet been reached, but the ceiling of the real world has hit first. This directly pushes the alpha of the stock market into these areas - it's not model companies making valuations, but infrastructure companies making real money from orders and cash flow. Ranked by strength and certainty in January 2026, the sectors that benefit the most are: 1. Power infrastructure&grid upgrade (currently the most urgent and urgent need) The demand for electricity in AI data centers is exploding, and the expansion of the power grid cannot keep up. The delivery time of transformers/cables/switchgear/cooling systems has been extended to 3-6 years. Eaton (ETN)、Schneider Electric ( http://SU.PA ）Giant companies such as GE Vernova (GEV) have seen explosive orders and are the most certain short-term profit chain. 2. Nuclear Rebirth (SMR+Extended Life of Existing Nuclear Power) Meta/Google/Amazon/Microsoft crazily signed a 20-year nuclear power PPA, with existing operators Vistra (VST), Constellation Energy (CEG), and SMR players Oklo (OKLO) and NuScale Power (SMR) taking off directly. 2026 is the year of nuclear energy, and the long-term story is the strongest. 3. The 'non GPU bottleneck' link in the semiconductor supply chain GPU is still king, but the marginal increment has moved forward: HBM memory Micron (MU), SK hynix (000660. KS), advanced package TSMC (TSM), Amkor (AMKR), optical interconnect Marvell (MRVL), Broadcom (AVGO) parts. These are the real bottlenecks in supply and demand. 4. Hard construction of data center (EPC+liquid cooling/power supply) Building a GW level AI factory ≈ building a small city, where liquid cooling, uninterruptible power supply, on-site power generation Bloom Energy (BE), and other technologies are all in short supply. Medium sized EPC companies are more prone to outbreaks. 5. Copper&Key Minerals (Secondary but High Certainty) The demand for copper in the power grid and data center cabling is increasing rapidly, with significant fluctuations but a strong trend. Core logic: The ARR for AI applications is only a few hundred billion yuan, with an annual investment of several hundred billion yuan in the entire industry chain. What truly makes big money is not the "cool looking" model layer, but the bulky infrastructure companies that solve the problems of "where does electricity come from, whether there are enough chips, and when will the factory be built". As an investor, the strongest alpha is likely to be on the main line of electricity+nuclear energy+power grid, followed by the semiconductor secondary bottleneck. Unless there is a killer product in the pure software/application layer, it is difficult to win these "urgent" scarce orders in the short term. What do you think? Is it a gamble on the long-term rebirth of nuclear energy, or is it about the current cash flow story of power grids/transformers? Which items are already in heavy storage? Let's talk about your configuration ideas.