SpaceX raised only $12B of capital before going public. With that $12B, they revolutionized the rocket industry, built a global satellite network, and created arguably the most innovative company of all time. The federal government spends $12B every 15 hours and still can’t get its shit together. Prior to SpaceX, NASA was sending astronauts into space on Soviet-era Russian Soyuz capsules. So no, I don’t find Elon’s wealth to be a problem, and I wouldn’t trust Elizabeth Warren or Bernie Sanders to allocate a single dollar of it.

autonomous robot driving through the field at night. no chemicals. no pesticides. just UV light killing pathogens and pests while everyone sleeps. this is @tricrobotics. this is what chemical-free pest control looks like at scale.

Larry Ellison, the man who built Oracle into a $500 billion enterprise software empire and he said something that every investor needs to hear (Save this). "By 2029, I can guarantee you, AI is not going to be the problem." The problem is going to be compute specifically, who has enough of it and who does not. Ellison described the current AI race in terms that strip away all the abstract commentary about models and capabilities and reduce it to the one thing that actually determines who wins: "Me and Elon begging Jensen for GPUs. Please take our money. We need you to take more of our money, please." Citigroup raised its forecast for AI infrastructure spending to $2.8 trillion through 2029, with hyperscalers already spending at a $490 billion annual rate by end of 2026 and the firm estimates global AI compute demand will require 55 gigawatts of new power capacity by 2030 at a cost of approximately $50 billion per gigawatt. Sam Altman publicly thanked Jensen Huang this past March for significantly increasing NVIDIA's capacity at AWS, the CEO of the most important AI lab in the world writing a thank you note to the chip supplier because compute is still the binding constraint on everything OpenAI wants to build. Ellison's point about getting there first is the part of this clip that deserves a second read. He named three specific races, self-driving, reading cancer biopsy slides, and synthesizing video and said that being first in each one is a big deal. The logic is that in winner take most AI markets, the first mover trains the best model, the best model attracts the most usage, the most usage generates the most data, and the most data trains the next best model, a compounding loop that the second-place finisher never catches up to. "The guys in this race are very smart and they understand they need to be best at something," Ellison said. What makes this clip so important right now is the timing. The AI GPU chip market is projected to grow at a 32.4% CAGR through 2029, reaching $145 billion in incremental spend, and NVIDIA's data center revenue is already running at a pace that would have seemed impossible three years ago. Every major hyperscaler, Microsoft, Amazon, Google, Oracle, Meta is no longer funding AI capex from operating cash flows alone, they are borrowing to keep up, because falling behind in compute now means ceding the winner-take-most race Ellison just described. At Milk Road, we have been positioned in NVIDIA, AVGO, AAOI, MU, and Bloom Energy and more. Come join Milk Road Pro and get the full picture on how we are playing every layer of the GPU demand supercycle that Larry Ellison just guaranteed will not slow down before the end of the decade, link below/bio.

🚨 @Core_Scientific just added one of the most credentialed data center executives in the world to its board 🚨 ⚡ Steve Smith appointed to Board of Directors — 35 years of data center and digital infrastructure leadership ⚡ Currently CEO of @ZayoGroup — global internet network provider since 2020 ⚡ Previously CEO of @Equinix from 2007–2018 — scaled annual revenue from $400M → $4B and oversaw 20 acquisitions ⚡ Also sits on the board of @NEXTDC — Australia's leading publicly traded data center company ⚡ West Point graduate — BS in Engineering — HP Services, Lucent Technologies and EDS prior to Equinix The man who built Equinix into a $60B data center giant just joined the $CORZ board!!!

5 gallons of water = → $132 from data centers → 2¢ from almonds One powers AI, auto safety, space exploration, medical research, banking, and innovation. The other is a mostly exported (75%) snack from drought-prone California fields. Resource allocation in one chart.

$NVDA just disclosed H100 rental prices are up ~20% in 2026 even though the H100 launched in 2022 and is now three GPU generations old. That makes contracted capacity at $CRWV, $NBIS, $IREN, $WULF, $CIFR and $APLD more valuable if supply still cannot relieve premium AI compute pricing.

The latest IQ test involves data centers and water.

FASTEST-EVER: $DRAM hit $6.5b in 36 days on the market, faster than any other ETF, incl the Mighty IBIT who took 43 days to hit that mark. Thanks in part to going up 13% on Fri alone and taking in (another) $1b in flows. I'm stunned, frankly. Regardless of what happens from here this was one of the most heads-up, best timed ETF launches I've ever seen.