Harry Stebbings × Chase Lochmiller

Crusoe says AI infrastructure will follow cheap, available power, targeting roughly 200 MW in Abilene within one year versus 2.5 years elsewhere.Vertical integration cut medium-voltage delivery to 28 weeks from a 100-week quote, while five-year GPU contracts and managed services diversify cash flow.Rising Hoppers usage prices challenge simple depreciation assumptions, but labor, community disruption, and uncertain IPO timing remain risks.

Logan Jastremski × P Equity Research

AI infrastructure is constrained less by GPUs alone than by a shifting stack of memory, advanced packaging, power, construction, and networking, with memory potentially absorbing roughly half of hyperscaler capex through 2028.Long-term agreements and higher utilization may support a higher earnings floor, but cannot repeal cyclicality if ROI and free cash flow disappoint.Watch ABF, optics, and China’s potential 20-25% global memory share.

Blake Scholl × Jason Calacanis

Boom’s 42 MW, water-free, behind-the-meter data-center system repurposes its Mach 1.7 engine core, with the first engine due next month, while vertical integration targets multiple gigawatts annually and more than 10 GW added to the grid over five years.Overture targets a $3,500 round-trip break-even fare and a four-year goal, but the actual service date remains uncertain as regulatory momentum accelerates.

David Senra × Zach Dell

US electricity demand could rise from roughly 2% to around 10% annual growth, with AI accelerating an already broad electrification trend.Base sells electricity rather than $20,000 batteries, owning distributed assets that monetize wholesale markets while avoiding interconnection and transmission constraints; scaling Base Core and long-term utility contracts remain key milestones.

Drew Baglino × Lukas Biewald

Baglino argues properly designed AI data centers can lower electricity rates by raising grid utilization: 800MW average demand versus 1-2kW for a home, with storage absorbing training ripple.Heron Link’s 5MW solid-state transformer halves grid-to-chip losses, adding about 35MW of useful compute per gigawatt; the thesis depends on data centers funding interconnection and utilities avoiding overbuild.

Peter Diamandis × Salim Ismail × Dave Blundin × Alexander Wissner-Gross × Ramez Naam

AI’s binding constraint is grid interconnection, not generation economics: roughly 100 hours of annual load flexibility could unlock about 100GW of existing capacity, representing roughly $5T of data-center capex.Texas’s interruptible-load fast track and FERC’s broader push could catalyze near-term capacity, while solar-plus-batteries offer a roughly 12-month build path; winter seasonality, transmission bottlenecks, and uncertain further cost declines remain key risks.

Jeremie Eliahou Ontiveros × Reyk Knuhtsen × Ellie Holbrook × Jordan Nanos

The claim that half of 2026 US data-center capacity was canceled fails a denominator check: SemiAnalysis says early-stage options were mistaken for committed builds, while its forecasts moved less than 5%.The sharper bottleneck is execution at financed projects such as Oracle’s Project Jupiter, supporting more than 40 GW of behind-the-meter additions by 2028 but leaving gas, permits, equipment, and schedules as catalysts and risks.

Sarah Guo × Isaiah Taylor

Valar Atomics treats nuclear as a manufacturing problem, targeting a simple, intrinsically safe “Toyota Camry” rather than a bespoke paper reactor.DOE testing authority enabled its 100 kW W-250 to reach criticality, while passive heat removal and a seven-month milestone interval provide operating evidence.Equity-funded deployment could precede project finance, with AI as an initial catalyst and cheaper energy as the longer-term demand thesis.

Harry Stebbings × KR Sridhar

AI factories make electricity the binding input, and KR Sridhar frames Bloom Energy’s opportunity against a $5.5 trillion power market versus $2 billion of revenue last year.Oracle’s 50+ MW contract in 90 days and delivery in 55 days support the architecture case, while scaling from 1 GW to over 2 gigawatts by year-end leaves permits, gas supply, and customer buildouts as constraints.

Jordan Nanos × Jeremie Eliahou Ontiveros × Nicolas Bontigui × Haroon Inam

AI rack density is pulling data centers toward 800 V DC, which can deliver almost triple the power through the same copper while reducing conductor weight, cost, and I²R losses.DG Matrix’s multi-port SST roadmap targets 400 kW units today, 6 MW in 2027, and 10 MW in 2028, but adoption timing, mixed hardware, protection requirements, grid bottlenecks, and cybersecurity remain material execution risks.