@sharpemaxxingi
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Joined October 2025
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Investments | Energy | Web3 retweeted
Replying to @jimmie_lenz
@jimmie_lenz and I called it long ago - we argue that banks with brokerage subsidiaries have a structural advantage in Stablecoin distribution. Read the full paper here mdpi.com/1911-8074/18/11/594
Investments | Energy | Web3 retweeted
The mechanism behind data centers offsetting electricity rates comes down to one basic concept: asset utilization. High load factor demand dilutes fixed transmission and generation costs over more volume, putting downward pressure on average $/kWh for other ratepayers. That dynamic doesn't obviate the need for new infrastructure, and it can be dampened by near-term wholesale price trends or amplified by flexible loads and other technologies. But the basic driver is straightforward.
Investments | Energy | Web3 retweeted
1 gigawatt of demand response at @OpenAI’s newly announced data center w/ Georgia Power
Investments | Energy | Web3 retweeted
This is the model of data center development we should all be advocating for.
Google is building 1.4 GW of solar and wind capacity to power their 840 MW data center and using basically no water.
This project also helps explain why Google paid $4.75 billion for Intersect Power, the developer of Meiter Energy Center.
Intersect has gigawatts of clean energy capacity in the Texas interconnection queue. Thanks to a new rule passed last year, they can effectively share that interconnection with data centers.
So rather than wait 5+ years to bring online a 840 MW data center, Google is going to bring it online in October 2027.
Investments | Energy | Web3 retweeted
This is what the "smart money" thinks about the growth of retail capital in private markets:
(from ILPA's survey of LPs):
- 35% identified the growth of retail capital as the single greatest THREAT to alignment of interests between GPs and LPs.
- 84% said they are LESS likely to invest with a private equity manager that has significant retail exposure.
- 73% believe managers that raise substantial amounts of retail capital are more likely to experience suboptimal investment outcomes.
Something to keep in mind, fellow retail investors.
Investments | Energy | Web3 retweeted
Data center developers have said they want to build 90 GW of their own power plants. But how many of these will actually get built?
I reviewed hundreds of documents and satellite images to try to answer that question.
Earlier this year, I published a report and dataset about this trend of "behind-the-meter" data centers. For all the hype about the trend, there was little documentation of how these massive facilities would get built.
What I found was surprising. Rather than wait for a grid connection, developers were planning to stick gas turbines on the back of semi-trucks and park them outside their data centers. Some planned to use repurposed jet engines that once powered Boeing 747 airplanes.
That report received a lot of attention. It was covered by dozens of national media outlets, including NYT, Axios, Politico, and NPR. The US Senate asked me to brief them on the trend and subsequently launched a probe into a half dozen companies.
Today I'm releasing an updated version of the report on this trend that aims to answer the question of how many of these things are actually getting built.
Every week it seems like someone announces a new “world’s largest off-grid data center” project. But the difference between the press release and reality on some of these projects can be significant.
Fermi America writes on its website that Project Matador—"the world's largest private grid"—is under construction. But satellite images reveal a different story. There hasn’t been noticeable construction activity on the site for months because Fermi still hasn’t signed a tenant.
Some analysts have argued that Fermi is evidence that the whole BTM trend is all hype. But this dismissal overlooks the projects that have already been built and the ones that are actively under construction.
In the last 18 months, developers have already built 4 behind-the-meter data centers with a combined capacity of 2 GW—equivalent to two nuclear power plants.
Using satellite images—and counting turbines one by one—I identified another 6 projects that are under construction and nearly complete. By the end of 2026, when these projects come online, the amount of behind-the-meter data center capacity will grow to ~3 GW.
After 2026, the range of possible outcomes grows significantly. If all projects with signed tenants reach their construction timelines, then another 10 GW could come online in 2027—equivalent to the power demand of New York City.
It’s unlikely that all of these projects will finish on time. I found multiple projects that are already behind schedule due to permitting delays.
On the lower end, cumulative behind-the-meter capacity could reach just 5 GW by the end of 2027—5% of the total capacity that has been announced.
Those are a few takeaways from the 75-page report and analysis of the 59-project dataset. The full report is available to purchase on the Cleanview website.
If you have questions about this trend, I can try to answer them in the comments below.
Investments | Energy | Web3 retweeted
Kalshi's first example of a small business using it as hedging tool is The Jeffrey, an NYC bar that's promising free drinks to all customers if New York Knicks wins NBA Finals Game 1 on Wednesday
Investments | Energy | Web3 retweeted
Copper just hit all time highs and almost nobody in your timeline is talking about it because it's not a tech stock with a ticker and a subreddit.
Meanwhile every single AI data center, EV, wind turbine, and power grid upgrade on earth needs more of it than we can currently dig out of the ground.
Don't sleep on it!
Investments | Energy | Web3 retweeted
🤦🏻♂️ so ending the “token subsidy era” is really just eliminating redundancy bc clause is integrated into copilot? lol. $msft
🦔Microsoft canceled its internal Claude Code licenses this week after token-based billing made the cost untenable, even for a company with effectively infinite cloud resources. Uber's CTO sent an internal memo warning the company burned through its entire 2026 AI budget in just four months. American AI software prices have jumped 20% to 37%, and GitHub (owned by Microsoft) is dropping flat-rate plans for usage-based billing across its products.
My Take
The AI subsidy era is ending in real time. The same company that put $13 billion into OpenAI and built the Azure infrastructure powering most of Anthropic's compute just looked at the bill from a competitor's coding tool and decided it was not worth paying. That is not a productivity failure on Anthropic's end. Token-based pricing is forcing every enterprise customer to confront the actual cost of running these models at scale, and the number turns out to be far higher than the flat-rate experiments suggested.
This ties directly to my Gemini Flash post yesterday. Anthropic, OpenAI, and Google all raised effective prices in the last six months. Enterprises that built workflows assuming AI costs would keep falling are now watching annual budgets evaporate in months. Two outcomes look likely from here. Either enterprises scale back AI usage to fit budgets, which slows the revenue ramp the labs need to justify their valuations ahead of IPOs, or the labs cut prices and absorb the losses, which makes the unit economics worse at exactly the wrong moment. Both paths land in the same place, the numbers stop working, and somebody has to take the writedown.
Hedgie🤗
Investments | Energy | Web3 retweeted
"Google announced a new $15 billion investment in building infrastructure in Missouri, including a new data center in New Florence, located in Montgomery County. This investment is built on a commitment to build data centers the right way—through responsibly increasing local infrastructure capacity, expanding energy affordability programs, and funding thousands of jobs in the region."
Investments | Energy | Web3 retweeted
Evercore introduced their token consumption model and implications for data center demand/capex today:
“Base Case: In our base case, we see total annual token demand growing from ~100 quadrillion in 2026 to ~4 quintillion in 2030, representing a ~150% 4-year CAGR. Key assumptions here include ~1.5B AI consumer users growing to ~3.7B by 2030 and ~50M AI agents growing to ~800M by 2030.
2) Upside Case: Total annual token demand grows from ~156 quadrillion in 2026 to ~8.3 quintillion in 2030, representing ~170% 4-year CAGR. Key assumptions here include ~1.8B consumer AI users growing to ~4.4B by 2030 and ~100M AI agents growing to ~1B by 2030.
3) Downside Case: Total annual token demand grows from ~71 quadrillion in 2026 to ~2 quintillion in 2030, representing a ~131% 4-year CAGR. Key assumptions here include ~1.3B consumer AI users growing to ~1.9B by 2030 and ~40M AI agents growing to ~640M by 2030. The logical question is what future token usage will represent for data center demand – this will vary depending on average install base throughput (Tokens per watt per MW or TPS/MW which also depends on Interactivity or TPS/user) but assuming ~4.0 quintillion annual token consumption in 2030 and a blended install base throughput of ~500,000 TPS/MW, we see demand for data center capacity reaching ~250 GW by 2030, which should provide tailwinds for our IT Hardware/Networking & Data Centers coverage. Net/net: We see growth in AI token consumption driving durable multi-year demand tailwinds for suppliers of DC/AI infra within our coverage.”
Investments | Energy | Web3 retweeted
The U.S. Treasury Department's auction of $25 billion in 30-year bonds was officially awarded at a high yield of 5.046%, marking the first time the 30-year bond yield auction has closed above 5% since August 2007, per FT
Investments | Energy | Web3 retweeted
Hmmmm.
Might be switching out my .md for .html
Makes so much sense once you think about it
Investments | Energy | Web3 retweeted
Today is a good day to ask why Bloom is worth $65B and Wartsila is worth $23B.
Both are power generation equipment stocks trading on AI growth.
Wartsila now has 2.4 GW of real and binding hyperscale AI orders for actual projects.
Bloom has several framework agreements but few details on actual hyperscale AI datacenter projects as far as I can tell.
Investments | Energy | Web3 retweeted
Today, we’re open-sourcing the draft specification for DESIGN.md, so it can be used across any tool or platform. We’re also adding new capabilities.
DESIGN.md lets you easily export and import your design rules from project to project. Instead of guessing intent, agents know exactly what a color is for and can even validate their choices against WCAG accessibility rules.
Watch David East break down this shared visual language in action👇. New capabilities and links in 🧵
Investments | Energy | Web3 retweeted
And it happened... Maine became the first state to pass a ban on large data center construction. The bill freezes new builds over 20 MW until November 2027 while a council studies grid and ratepayer impact. At least 10 other states are advancing similar measures. The AI infrastructure buildout is running headfirst into local energy costs and land use politics.