AI Data Center Power Bottlenecks

Oct 24, 2026

20VC 20VC: Unconventional's Naveen Rao on robotics and $10TRN inference

• Naveen Rao Rao expects spare US power capacity to become scarce within a few years, forcing AI growth toward the slower pace of infrastructure construction. He cites roughly $50 billion per gigawatt: building 10 gigawatts annually would already mean half a trillion dollars, while claims of 40 …

Oct 21, 2026

All-In Arvind Krishna & Nikesh Arora: Quantum Threat, Open vs Frontier AI, AI Cyber Warfare & SaaS Collapse

• All-In Compute access—not simply a have-and-have-not divide—is a key concern. Arora says he does not expect a straightforward have-and-have-not scenario, but worries that compute access may concentrate around two major …

Moonshots Chamath: Bitcoin Goes to Zero, Robots vs. $40T Debt, Elon’s SpaceX Shares for 72M Kids | EP #304

• Alexander Wissner-Gross Chamath believes AGI has arrived, but physical deployment will determine who captures its value. He expects a “massive” compute shortage over the next three or four years, citing power, permitting, cooling, skilled labor, and utility …

Oct 20, 2026

SemiAnalysis Ep. 039 - [EMERGENCY] Brad Gerstner Cut Our 2027 Forecast in Half. We Raised It. (Datacenters)

• Jeremie Ontiveros Power remains the immediate constraint even when GPUs and physical space are available. Jordan highlights operators installing more GPUs and power-capping them to fit the available electrical envelope. Jeremie says buyers can …

Oct 19, 2026

硅谷坐标 Silicon Valley Vector From Compute to Scale: The Future of AI Infrastructure | A Conversation with Google VP of Engineering Bill Jia

• Bill Jia Power is the supply-side bottleneck: the host cited 40 GW of additional compute capacity next year, a figure Bill did not confirm, though he expects many gigawatts of data-center capacity to come online. Power generation currently relies mainly on natural gas, coal, and crude oil; solar and wind are not yet scalable or efficient enough, and …

Oct 18, 2026

Oct 15, 2026

BG2 Jensen Huang | Does AI Revenue Justify Capex, '27 AI Bottlenecks, Singularity, Open vs Closed & more

• Jensen Huang Demand could absorb the projected 43 gigawatts of new AI compute next year, but physical deployment—not chip appetite—is the near-term constraint. Huang said demand is “definitely there and more,” while land, power, data-center shells, permitting, skilled construction labor, substrates …

Oct 10, 2026

The a16z Show Former Intel CEO: Why This is the Best Time to Build Hardware

• The a16z Show Power availability is becoming both the ceiling on AI deployment and a source of hardware investment opportunities. Raghu framed “energy capacity is equivalent to economic capacity,” describing national capacity as roughly flat for 10–15 years and likely …

Oct 3, 2026

20VC Crusoe CEO: Why Everyone Gets GPU Depreciation & AI Energy Costs Wrong

• Chase Lochmiller Crusoe’s founding thesis was that energy would become the bottleneck to scaling AI, so compute should migrate to wherever power is cheap and available. Bitcoin mining initially monetized excess energy while Crusoe built its AI platform; ChatGPT’s November 30, 2022 launch then made …
• The data-center shortage is ultimately a shortage of places where GPUs can be connected, powered, and put to work. Crusoe promised roughly 200 MW in Abilene within one year versus the next-best 2.5-year proposal, then manufactured a medium-voltage …
• Chase Lochmiller argues that the loudest community objections to AI data centers—water use and higher power prices—are contradicted by Crusoe’s operating evidence. A roughly 140 MW Abilene building uses about as much annual water as 10 homes because GPU cooling is closed-loop; he says energy prices have …

Oct 2, 2026

Hard Fork If A.I. Is Making You Crazy, You're Not Alone | Hard Fork

• Hard Fork Data centers are presented as the one issue Americans can agree on. The montage’s answer is simply “no.”

Oct 1, 2026

The a16z Show Why One Internet Pioneer Thinks the Original Model Broke

• Joel de la Garza The episode’s contrarian infrastructure call is to defend data centers while attacking the tracking systems built around them. Lyon and Joel de la Garza challenge portrayals of data centers as continuously “drinking” water, explaining that sealed systems require …

Sep 27, 2026

Sourcery 10 of The Wildest Hot Takes From the All-In Summit 2026

• Toby Rice Toby Rice, founder and CEO of EQT Energy, sees a 20–40% increase in U.S. natural-gas demand on a roughly 110 BCF/day market. AI is only about 40% of the power-generation pull — more than 174 gigawatts of reliable generation, mostly coal and nuclear, must be …

Sep 22, 2026

All-In Blake Scholl: Why Plane Speed Stalled, Supersonic Commercial Flight, & Revolutionizing the Engine

• Blake Scholl The most tradeable reveal: Boom’s supersonic engine core, with the fan removed and a generator attached, becomes a 42 MW behind-the-meter data-center power-generation setup that “doesn’t need any water” because it is designed to run hot at Mach 1.7. Scholl calls it “an incredible money-printing business,” claiming “tens of gigawatts of demand in my inbox”; the first engine is due to run …
• The Rolls-Royce breakup—“one of the dumbest things I ever did was try to outsource our engine development”—that led people to declare Boom dead is now, in a “bizarre twist of history,” what Scholl says makes the startup financially valuable. Boom is vertically integrating from raw materials through turbine blades and assembly, with a factory whose first parts were made last week, …

屠龙之术 AI After Entering Production: Where Will Intelligence, Compute, and Chips Go?

• 屠龙之术 The compute supply-demand gap may widen for years, so it is a mistake to assume the shortage will disappear once infrastructure comes online in 2028. IDC’s compute-fulfillment rate falls from 74% in 2026 to 71% in 2027, then recovers to roughly 75%-77%, but the absolute shortfall could …

Sep 21, 2026

All-In Naveen Rao: 4D Computing, AI's Energy Wall & Beating Biology

• Naveen Rao The energy math driving the thesis: Google alone crosses 3.2 quadrillion tokens per month; at 10 joules/token that’s 12 GW — against ~40 GW of total US data-center power and under 100 GW worldwide. Rao’s estimate: “we’re going to run out of energy pretty fast, in about 3 years or so,” and since ~50% of the cost of serving a token is …
• The investor kicker is Jevons’s paradox: Rao says halving the price can lead to more than 2× consumption, while making something 1/1,000th the price can lead to consuming more than 1/1,000th as much. He thinks a 1,000× disruption of a roughly $1 trillion 2030 AI market — “maybe it’s bigger than that” — will create “the largest market that …

Sep 20, 2026

CBS Sunday Morning Extended interview: Nvidia CEO Jensen Huang on fears about AI

• CBS Sunday Morning On the bipartisan data-center backlash: "We're sorry we didn't come talk to you sooner" — but he insists water consumption "is a myth now." Recirculating hot-water cooling uses "less water than a swimming pool evaporating all year long," and data centers should contribute to …