Jarron Jackson
Data Analytics & Economics Commentary, AI Infrastructure, Military Veteran
Grid-connected AI data-center operators TeraWulf, Hut 8, Applied Digital and IREN look better placed than rivals building energy strategies solely around gas turbines, which will eventually backfire. The midterms are only the beginning; local opposition, resident protests and political pressure could then force leaders to restrict, delay or kill those projects. @MikaelXeeland counters that behind-the-meter power already exceeds 25% of planned US data-center capacity. x.comÂ
Electricity is a clear bottleneck for AI, favoring AI-focused power and data-center infrastructure names over residential utilities. The US could be short 107 GW to power data centers through 2029, while China adds capacity year after year. Medium-term preferences are Cipher, Hut 8, Riot, TeraWulf, Galaxy, Equinix, Bloom Energy, Solaris, Vistra, GE Vernova, INIO, Williams, Liberty Energy, EROC and Cummins. x.com x.comÂ
AI infrastructure operators such as Core Scientific, CoreWeave, Galaxy Digital and TeraWulf benefit if out-year gigawatt projections are not met. Constraints on power generation, grid transmission, labor and wafer capacity limit how many debt-financed data centers and chips get built, which is healthier longer term if the build-out is funded from operating cash flow. @LEJCapital counters that this assumes demand keeps growing exponentially and stays far above supply. x.com x.comÂ
Global resistance to data centers could constrain December cloud growth despite the longer agentic AI buildout. Some estimates say roughly 120 US projects worth over $130B face delays; opposition spans the UK, EU, Australia and Malaysia too. Microsoft, Alphabet and Amazon remain favored, though guidance is at risk. CoreWeave, Nebius and IREN may bounce hardest short term but look weak longer term as funding tightens; Elon Musk expects extensive neo-cloud consolidation. x.com x.com x.com x.comÂ
Neoclouds can be an incredible business only if they turn delivered GPUs into revenue on time. Power delays are harder to remedy than commissioning issues; idle GPUs earn nothing while financing costs mount, especially for smaller operators and those reliant on colocation. Energized sites and vertical control help, but GPUs or secured power alone are not enough. IREN has financing secured and Nebius looks less exposed to Musk's debt warning; smaller players may struggle to fund expansion. x.com … Show more
Power demand will keep growing exponentially as AI models and data centers get larger, even after the AI hardware rotation slows, creating an AI power supercycle across four layers. Fuel: EQT, Kinder Morgan, Williams, Energy Transfer. Onsite power, the near-term bottleneck fix: Bloom Energy, GE Vernova, Caterpillar, Cummins, Kodiak Gas Services, T1 Energy. Grid: Eaton, Quanta, Vertiv, Hubbell, nVent, Emerson. Nuclear baseload: Oklo, NuScale, Nano Nuclear, Constellation, Vistra, BWX Technologies. … Show more
Deliverable electricity is by far the most important AI bottleneck, the backdrop for owning energy infrastructure such as Williams. BloombergNEF now expects 118GW of US data-center capacity by 2030, 52% above its December 2025 forecast, and 194GW by 2035, about 20% of US energy use. Expected AI-chip sales imply 207GW of US capacity, 63GW more than BNEF's realistic forecast, so chips are outrunning power and something has to give. Data centers are also faster to build than grid expansions. x.comÂ
Lenders' growing data-center exposure could make funding costlier and harder for powered-land developers despite a bullish outlook for the AI build-out. Financing concerns can also depress equity issuance prices and increase cash-reserve needs. Customer prepayments, construction contributions and payment backing could help; if lending remains tough, dollars per megawatt may rise, perhaps faster. The most attractive investments pair customer funding with enough equity value and company liquidity. … Show more
AI's electricity shortfall creates a massive opportunity for companies solving the power bottleneck. Morgan Stanley estimates a 32 GW US data-center power shortfall by 2028. Constellation Energy and Vistra are nuclear names, Bloom Energy in fuel cells, GE Vernova in power generation and Eaton in grid infrastructure. x.comÂ
GE Vernova's turbines and grid equipment make it a clear winner from the AI data-center power crunch. Q3 equipment sales rose 42%, total revenue 27% and operating income 281% as margins expanded. Grade: A. x.comÂ
A US move to fast-track grid connections for AI data centers is bullish for both power producers and data-center operators: Constellation Energy, Vistra, NextEra Energy, IREN, Applied Digital, Hut 8 and Nebius. x.comÂ
