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All Energy Consulting (All means all. Oil & Gas & Power & Renew & Emissions & BTC - yrs of real experience in all areas). Advising high net worth individuals🤘
Houston, TX
Joined December 2011
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Agree with Barclays - it would seem Project Jupiter will be a limited issues given the progress already made at the site and that there is a solution to the gas pipeline via federal route blog.synmax.com/vulcan-exclu…
I absolutely believe in neuroplasticity. This has allowed me to cure my panic attacks with no medication. Discipline is key. Realize a fixed amount of suffering is needed. This supports one of my favorite Ralph Waldo Emerson quotes: “The only person you are destined to become is the person you decide to be.”
Excerpt from my soon to release report Placing the Bust where I use that graph: This dynamic carries a distributional consequence worth naming, because it shapes who captures the AI gains. If token demand keeps accelerating faster than efficiency and power supply can respond, the binding scarcity of energized compute pushes the marginal cost of AI up, not down, at least until the grid catches up years later. Rising compute costs are absorbed very differently across the economy. Hyperscalers and large corporations can sign 15-year power contracts, prepay for advanced-packaging allocation, land-bank substations, and vertically integrate into generation, as Section IV documents. Small and mid-sized businesses can do none of this; they buy AI at retail, on someone else’s terms, and are the first to be priced out when compute is scarce. The likely result is a concentration of AI capability in the largest firms rather than its broad diffusion.
That concentration cuts against the usual case for the technology. The optimistic story for AI is broad productivity gains, new business formation, and employment shifting toward higher-value work. But if scarce, expensive compute is disproportionately available to incumbents, the near-term effect can run the other way: large corporations use AI to automate and consolidate, capturing efficiency gains as margin and headcount reduction, while smaller competitors who might have used cheap, abundant AI to innovate and hire are locked out of the input. Scarcity that favors incumbents tends to reduce competition, slow the diffusion of innovation, and weigh on employment, the opposite of the broadly shared prosperity the buildout is often sold on. This is not a prediction the paper stakes its thesis on, but it is the socioeconomic shadow of the megawatt constraint: when the scarce input is controlled by those who can afford to hoard it, the gains concentrate, and the constraint becomes a moat.
AI compute demand is going parabolic and we need more compute than ever before (Save this).
OpenRouter’s chart shows weekly token usage growing 25 times in one year and doubling in the last month.
That means more demand for GPUs, memory, networking equipment, electricity, cooling systems and data center capacity.
The companies building this infrastructure could become some of the biggest beneficiaries of the AI boom.
CoreWeave and Nebius are two of the clearest examples because they provide rented GPU capacity to AI labs, developers and enterprises that cannot build enough infrastructure themselves.
CoreWeave is benefiting from strong demand from hyperscalers and AI companies that need access to GPUs quickly.
Nebius is also expanding rapidly as customers compete to secure GPU capacity, power, and data-center space.
NVIDIA benefits by selling the GPUs, while Micron and SK Hynix supply the HBM and DRAM that help those systems operate efficiently.
Arista and Broadcom benefit from the networking equipment required to connect thousands of GPUs, while Vertiv and Eaton provide power-management and cooling infrastructure.
The opportunity also extends to data center developers, utilities, construction companies, and equipment manufacturers.
The AI usage will continue to grow as models become cheaper, more capable and increasingly integrated into coding, research, customer service, and business automation.
When AI agents begin running continuously in the background of millions of users, inference demand will grow far beyond today’s chatbot usage.
That would turn compute into a recurring infrastructure expense and make access to GPUs and power even more valuable.
The companies with available GPUs, electricity, and data center capacity could maintain strong pricing power while the rest of the industry races to keep up.
If you enjoyed reading this, make sure to follow @MelvinInvests for more AI infrastructure insights and if you want to see exactly what I'm buying as an analyst at Milk Road Pro, check out the link below.
To me, Loudoun County is the perfect example of why data centers aren't as bad as critics claim. If the naysayers were right, Loudoun would be a wasteland full of broke, exhausted residents. The reality is the exact opposite, and it proves there is a right way to handle this kind of development.
Most counties are looking at projects that are a fraction of Loudoun's massive 7 GW capacity. The median proposed size is only around 300 MW. A county doesn't have to jump straight into gigawatt territory; they can easily start with a smaller facility and scale up from there.
Exercising caution shouldn't mean throwing the entire concept out just to appease alarmists. True leadership sometimes requires making decisions that aren't popular right away, much like a parent making kids eat their vegetables. As long as there is proper planning and oversight, data centers can bring massive long-term value to a local community.
Probably the strongest pro-data center case in the US is Loudoun County, VA. The fiscal numbers are real but it is also an outlier case.
Loudoun says data centers sit on ~4% of commercial parcels and generate 38% of General Fund revenue. FY27 budget has the industry closer to ~$1.3B, or ~45% of local taxes.
Loudoun taxes the equipment inside the buildings at $4.15 per $100 of assessed value, with a 60/45/30/15/10/5% depreciation schedule. JLARC, using older FY23 data, found mature Virginia markets ranged from <1% to 31% of local revenue from data centers - Loudoun was the 31%.
There are limits to all the positive externalities (which doesn't mean they are negatives too btw). JLARC estimates a typical 250k sq ft facility supports ~50 full-time workers vs ~1,500 at peak construction, and a typical Dominion-system residential customer could see +$14-37/month of generation and transmission costs by 2040. Loudoun also ended by-right approvals in March 2025 over siting, noise and infrastructure, which I find interesting given it's the pinnacle example.
To be transparent, the clip itself is advocacy. Innovation Council Action is a pro-Trump, pro-AI 501(c)(4); Axios reported plans for $100M+ of political spending in 2026. The speaker is a Loudon resident, though. We need voices on the ground speaking their truth and we should listen to them.
I’d use Loudoun as evidence of how valuable data centers can be when a locality actually captures the tax base. I would not use it as evidence that the next 300 MW project in a different tax code, power market, and greenfield site will look always like Loudoun.
There’s enough real economic upside here that I don’t think the pro-data center case needs exaggeration. The better argument is the factual one: these projects can bring enormous investment and tax revenue, but the benefits depend heavily on tax structure, power costs and where/how they’re built. Here for communities and partners (labs, hypers, sponsors) that do this the right way and quickly - we need more of them!
Always been the case - homework should never be used as the benchmark of knowledge but a mechanism to teach those that are slow. I had to work through out college so I didn't have much time. I purposely took classes that didn't have much homework weighting to the final grade. Allowing homework to represent grades gave the benefits to the cheaters and those who had time. AI is fixing that.
The math basically says if you had a home valued at $500K in 2016 and it stayed that same value - the govt allowed you to keep $1700 dollars in 2026. During that time residential electrical rates in VA rose 45% from 11 to 16 cents/kWh. By 2026 if average consumption is 10400 kwh the net benefit is $1180/yr!
I like to believe the UK govt. ran an algorithm and noticed this lad crime score went up if he bought the bat and left the store. The AI then called the police to arrest him to prevent the crime he was going to commit even if he didn't know if himself. Progress....
Wow Loudon county must be barren now. This county went from 250 MW in 2010 to over 7 GW today. For some reason this is not the case even though Erin Brockovich states the below. I am sure Loudon county probably hitting a limit but many other counties dont even have 500 MW.
If data centers were truly catastrophic, Loudoun County, VA-which skyrocketed from 250 MW in 2010 to over 7 GW today- should be a barren desert filled with sleep-deprived residents. Instead, the exact opposite happened. Median income rose from $119K to $182K, population grew from 312K to 450K, and GDP doubled from $21B to over $45B. Furthermore, a study showed that data centers generated a massive $40 billion positive economic impact for Virginia in 2025.
This is suicidal empathy on a macroeconomic scale.
Out of all options for economic development - manufacturing, refining, chemicals, power generation - data centers have some of the least externalities.
We're literally shooting ourselves in the head: handing our lead to China while we cancel projects here.
Data centers run far cooler than traditional industry. Hot aisle temps top out around 40-60°C vs. 1,600°C+ in power plant turbines.
On water use: U.S. golf courses consume far more overall (hundreds of billions of gallons annually) than data centers - and data centers often use recycled/non-potable water.
Cellphone penetration is ~98%. Apps and capabilities keep expanding. How? Data centers.
They're basically warehouses full of computers. They deliver major tax revenue. Loudoun County (highest data center concentration per capita in the U.S.) has lowered its real property tax rate for 10 straight years - from $1.145 to $0.805 per $100 - while maintaining one of the highest per capita incomes in the nation.
People, wake up. Don't fall for agitprop.
Data centers + AI are the future economic engine.
Imagine turning down the Industrial Revolution. Imagine blocking the internet's expansion. That's what canceling data center projects looks like.
Yet we are stuck with the average age of our House of Representative 58 and Senate at 64... Do we think they are currently as smart or better than our founding fathers since they are so much older?
Clearly the conclusion is they had AI back in 1776! Happy Birthday USA! 🤣🎉
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An idea starts, you build it, and then you test it. Call it "validation"- but common sense is really all it takes to know something works. If you observe a project with your own eyes and engage with it routinely, you will understand and assess it far better than anyone relying on press releases, phone calls, or secondhand reports.
Data center forecasts need better evidence.
SynMax tested Vulcan’s forecasts against 168 projects representing 11 GW of capacity.
The result: when a reported online date came before Vulcan’s earliest satellite-based completion estimate, 99% of the GW did not come online on schedule.
Read the full Vulcan blog to see why observed construction milestones matter for power demand and infrastructure forecasting:
🔗blog.synmax.com/vulcan/how-a…
#DataCenters #PowerMarkets #EnergyInfrastructure #SatelliteIntelligence #InfrastructureForecasting #VulcanResearch
Sad truths
'Why is a flat-screen TV affordable and a college education not?...Because Congress has spent 60 years trying to make college affordable and has spent zero years trying to make TVs affordable.' By @reason's Aaron Brown, Michael Mendelson, @CliffordAsness thedispatch.com/article/affo…
More truth... Policy vs weather ...weather always wins: Mild Summer and Lower Loads in 2025
Cooler temperatures reduced demand: Summer 2025 brought some of the coolest temperatures in recent years across California. This led to lower electricity demand and reduced grid stress, with no grid emergency events or alerts.
efiling.energy.ca.gov
Actual peaks below forecasts: CAISO's summer peak hit just above 44,500 MW on August 21, 2025—roughly 2,200 MW lower than the forecasted average-year level. One report noted a peak of 44,434 MW on that date, below the CEC forecast of ~44,779 MW.
caiso.com +1
Comparison to prior years: This was significantly lower than hotter summers (e.g., near-record peaks around 52,000 MW in 2022). Mild conditions meant less air conditioning load, easing pressure on the system despite growing renewables and storage.
Let's not have policy be a function of weather whims. Power analysis needs to be weather normalized.
Interesting point... @grok what is the percentage of people in US that plays golf, eat almonds, owns smart phone ... Which is used by more people golf courses, almonds, or data centers?
This is how they manage the control of our food system. The AG gag law makes it illegal to film what is happening at industrial farms. This has worked well to stop society understanding the inhumane treatment of our food system - so might as well try limiting ability to make fraud visible.
🚨 Exposing California's corrupt "Stop Nick Shirley Act", instead of going after the fraudsters California is now going after the people exposing the fraud.
This bill AB 2624 will:
- Criminalize journalists with misdemeanors, $10,000 fines, imprisonment, and content takedown
- Let immigrant based NGOs' funding be confidential
- Take away freedom of the press from journalists
- Protect any "immigration support services" information from being public (healthcare, legal services, etc)
This bill was created by the Attorney General's WIFE Mia Bonta to stop fraud from being exposed. Please like and share this video everywhere! By trying to silence and intimidate journalists, they are trying to hide the truth from you. EXPOSE ALL THE FRAUD.
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Weekly visibility into projects is available now. No need to wait to hear updates months later. Vulcan platform is the essential tool in understanding how the future will unfold.
~40% of US data center projects may be delayed due to labor, permitting, and power constraints.
Leveraging data from SynMax, the @FT recently released an article highlighting the growing gap between AI investment and infrastructure delivery.
Read the full article: hubs.li/Q04cBXF30