Finn Stockinger
Equity Analyst & Investor, Technology Research
Powell Industries is the source-agnostic way to play AI power demand, because its custom heavy-duty switchgear is needed whatever generates the power and protects multi-million-dollar clusters from power surges. Per Bloomberg, AI-chip electricity demand could jump more than 1,100% by 2033, with the US taking 64%. Powell's $2.4B backlog, with visibility into 2028, shows data-center operators locking in gear early to avoid grid delays. x.com x.comÂ
Powell Industries' small Q3 miss hides surging demand, with capacity rather than orders capping revenue. New orders hit a record $934M, up 158%, for a 3.0x book-to-bill, and backlog rose 69% to $2.4B, led by a $400M+ behind-the-meter data center order plus petrochemical and LNG projects. Revenue of $311.7M and EPS of $1.42 trailed estimates because building custom high-voltage equipment is limited by floor space and skilled assembly capacity. x.comÂ
Grid suppliers are winning the next AI bottleneck, because power must reach data centers through transformers, substations, switchgear and transmission the grid lacks. Transformer lead times stretched from 24 months in 2019 to five years, per HSBC, and PJM got 220 GW of generation applications by April 2026 versus 2.1 GW connected in 2025. The White House designated switchgear and substations defense-essential. Forgent, Eaton, Powell, Hubbell, nVent, Quanta, MYR, AMSC, GE Vernova and Itron fit. … Show more
AI infrastructure bottlenecks could give eight stocks as much as 18x upside. Nvidia supplies frontier-model GPUs; Broadcom and Marvell supply custom silicon and networking; TSMC makes advanced chips; Micron supplies sold-out HBM; Vertiv provides power and cooling; Palantir monetizes enterprise AI; Alphabet spans TPUs, research, cloud and apps. The list tracks where AI infrastructure spending is flowing. x.com x.comÂ
Powell Industries is a quality grid business priced too richly at 57x trailing earnings after a 175% gain this year. Its custom medium-voltage switchgear for data centers comes from few qualified vendors; orders nearly doubled to $490M, backlog is $1.8B, it won a record $400M+ data center contract, and gross margins rose from 16% to nearly 30%. But the valuation needs it to become a capacity-constrained AI power platform, and if AI capex slows in 2027, the multiple compresses first. 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
Contracted AI compute demand makes four AI infrastructure stocks worth buying at 52-week lows. Applied Digital has a $36B backlog and expects 600+ MW online within 12 months; Cipher Mining has $8.5B+ in AI leases with payments ramping; CleanSpark has a 20-year $6.6B lease and 1.8+ GW power portfolio; CoreWeave has a $104B backlog and raised its year-end ARR target to $18.5-19.5B. x.com 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
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
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
More AI tokens mean more compute demand for Nvidia even as pricing power starts to slip. OpenRouter data via the FT show weekly token use up ~250-fold since January 2025; the FT links the surge to agents' long call chains. Bloomberg's breakdown of a 1 GW AI campus that could cost roughly $30B puts well over half the bill in chips and servers, most landing at Nvidia as GPU racks. Servers wear out in 5-6 years, making AI capex a recurring chip refresh. x.com x.com x.com x.com x.com 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
