Nicholas Mugalli
Institutional TMT & Macro Research, AI/Semiconductors/Policy
Constellation Energy, Vistra, Oklo, GE Vernova, IREN and Bloom Energy make up the power infrastructure stack an AI economy will need, because every GPU cluster Nvidia sells requires power infrastructure that does not exist yet. Nvidia CEO Jensen Huang says AI inference demand will grow 1,000x and that this is the best time in history to invest in sustainable energy. He knows what his customers are building because he ships it, and he was early on semis and neoclouds in 2025. x.comÂ
Nvidia's CUDA retains developers, putting it among 12 stocks that could dominate the decade ahead. Nebius's GPU rental price rise signals demand; Fabrinet and Credo supply AI connectivity. DraftKings has betting scale; Microsoft has Azure and an OpenAI partnership; Figma anchors design work; Shopify powers stores. TeraWulf pivots power sites to AI leases; Constellation, the largest US nuclear operator, signs big-tech power deals; Meta spends on AI; Uber has autonomous-vehicle partnerships. x.com … Show more
Bloom Energy's speed to power matters because a gigawatt of AI capacity can generate roughly $40B in annual revenue, according to Nvidia CEO Jensen Huang. That revenue opportunity makes rapid deployment especially valuable for Bloom's power offering. x.comÂ
Rising credit default swap spreads on generative-AI names are negative for the picks-and-shovels long trade, so HPC and neocloud operators such as IREN and Oracle are not worth buying on the dip; the risk/reward is not there. Inflation fears, no rate cuts and a prolonged war will keep pressuring IREN. Any added generative-AI long exposure belongs in memory, storage, optical networking and Nvidia instead. x.comÂ
A rising value of compute per watt should benefit AI cloud, chip, connectivity and power suppliers. Elon Musk says that value will rise over time. Nebius has Microsoft and Meta deals; Marvell benefits from custom silicon demand; Credo connects GPUs; Vistra has long-term nuclear supply deals with Amazon and Meta; Nokia's Nvidia partnership could help it capture data-center networking growth. x.com x.comÂ
AI data-center spending should reach chips first, then racks, power and cooling, benefiting Nvidia, AMD, Vertiv, Bloom Energy, Credo, Marvell, Lumentum and Micron. BofA forecasts the global data-center market at about $1T in 2026, $2.1T in 2028 and nearly $3T by 2030, a 37% annual rise; roughly 80% of a new AI site's $57M per MW cost goes to servers, networking and storage. x.comÂ
AI infrastructure names such as Vertiv, Bloom Energy and Sterling are an attractive, asymmetric short because slowing data-center builds should slow their order growth. Semis are historically overbought, a $200 billion company jumped 40% on its CEO calling it undervalued, companies may start rationalizing AI spend, Anthropic's revenue acceleration could slow, and a $1.5 trillion space IPO looms. Any waning momentum could cause severe unraveling. This is a high-conviction playbook into September. … Show more
Power scarcity and specialized technology could help these six under-$30 stocks create generational wealth over the next decade. MARA is buying a gas plant; IREN has over 5 GW secured for AI growth. Oklo aims to turn spent fuel into reactor supply, while Nano Nuclear's portable microreactors could reach remote sites if they work. Rigetti builds quantum chips in-house and has a $100 million Commerce Department letter of intent. Navitas makes chips that reduce power waste in AI data centers. x.com … Show more
Energy infrastructure looks like the next memory trade, as the AI race shifts from software to energy. China produces about three times as much energy as the US, and Musk and Jensen Huang said every 5GW of new energy adds about 1% to US GDP. AI needs power, cooling and infrastructure, so the companies enabling the buildout, from Vistra, Constellation and GE Vernova to Bloom Energy, Vertiv, BWXT, Cameco, Enphase and Tesla, are worth accumulating on weakness. x.com x.comÂ
Constellation Energy, Talen, NRG and Modine look weak because of the data-centers-in-space narrative. Once the first big solar-powered rack of GPUs reaches orbit, the market will react and cooling names will crash too, whether or not many space GPUs arrive this decade. @InvestsCletus adds that regulatory hurdles to deals between existing power plants and data centers also weigh on these names, while distributed-generation builders like Bloom Energy stay strong. x.com x.com x.comÂ
Bloom Energy has a better investor-confidence setup than neoclouds for exposure to AI's compute and energy needs. If compute remains insufficient to power AI growth, Bloom is likely to do better than a neocloud basket. x.comÂ
