The Power Allocation

By Spring Street Management GroupBusiness Investing

The Power Allocation episodes

February 02Natural Gas Is Winning the AI Power Race
With interconnection queues stretching 4-7 years, AI data center developers are turning to natural gas generation at unprecedented scale. This episode examines how 48 gigawatts of proposed capacity—a third of all U.S. projects—are now designed to bypass the grid entirely using behind-the-meter gas turbines.
Key topics covered:
The 24x increase in behind-the-meter gas generation projects in two years
Caterpillar's 2GW deal for the Monarch Compute Campus in West Virginia
Pennsylvania's 4GW+ Homer City gas plant for AI data centers
Energy Transfer's 6 billion cubic feet/day pipeline expansion for AI infrastructure
The tension between decarbonization goals and immediate power needs
Related keywords: natural gas data centers, behind-the-meter generation, AI power infrastructure, gas turbines, interconnection queues, Caterpillar data center, Energy Transfer AI
The Power Allocation is brought to you by Spring Street Management Group.
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3 min
January 30Europe Is Losing the Data Center Race
Traditional European data center hubs face power shortages, land constraints, and regulatory complexity that are pushing new AI development elsewhere. The infrastructure Europe built for the cloud era may not serve the AI era.
Key topics covered:
Dublin, Amsterdam, Frankfurt: structural constraints on new development
Google's €5.5 billion Germany investment struggling to find power
Asia-Pacific growth: 32 GW to 57 GW by 2030
EU sustainability regulations and compliance friction
Nordic exceptions: Sweden, Finland, Norway as alternative hubs
Capital flowing to Texas, Mississippi, Abu Dhabi, Singapore
Related keywords: Europe data centers, Dublin grid constraints, Frankfurt data center, EU data center regulations, Nordic data centers, AI infrastructure Europe, data center site selection, hyperscale capacity
The Power Allocation is brought to you by Spring Street Management Group — translating AI and data center hype into real infrastructure and assets.
4 min
January 29Why SMRs Won't Save Us Until 2030
Small modular reactors have become the energy solution every AI company wants to talk about. But the timeline reality is stark: the earliest SMR-powered data centers won't come online until late 2027 at the absolute earliest, with more realistic estimates pointing to 2030 or beyond.
Key topics covered:
Hyperscaler nuclear deals: Meta/Oklo, Amazon/X-energy, Microsoft/Constellation, Google/Kairos
Actual SMR timelines: Oklo Aurora (2028), TerraPower Natrium (2030), Kairos/Google (2030)
NuScale's cancelled Utah project and lessons learned
First-of-a-kind nuclear: regulatory review, financing, and execution risk
The timing mismatch between AI demand growth and SMR availability
What fills the gap: natural gas, grid power, and existing nuclear restarts
Related keywords: small modular reactors, SMR data centers, Oklo, NuScale, TerraPower, Kairos Power, nuclear energy AI, Three Mile Island restart, baseload generation
The Power Allocation is brought to you by Spring Street Management Group — translating AI and data center hype into real infrastructure and assets.
5 min
January 28The Middle East Enters the AI Infrastructure Race
AI data center investments across the Gulf Cooperation Council countries are projected to exceed $5 billion in 2026. The Middle East has entered the AI infrastructure race with structural advantages that constrained Western markets cannot match.
Key topics covered:
Saudi Arabia's Humain: $1.2 billion for 250 megawatts of AI capacity
OpenAI Stargate UAE: 200MW first phase of a 1 gigawatt cluster
Sovereign wealth funds and patient capital at infrastructure scale
Fast-track permitting and abundant cheap energy
Vision 2030 and national AI strategies as industrial policy
EMEA projected to add 13 GW by 2030 — Gulf taking share from Europe
Related keywords: Middle East data centers, GCC AI investment, Saudi Arabia Humain, Stargate UAE, Abu Dhabi data center, sovereign wealth funds, Vision 2030, international AI infrastructure
The Power Allocation is brought to you by Spring Street Management Group — translating AI and data center hype into real infrastructure and assets.
6 min
January 27OpenAI Says the Grid Can't Keep Up
OpenAI is publicly warning that the U.S. electrical grid cannot support the pace of AI development. The company estimates the nation needs approximately 100 gigawatts of new generating capacity annually — a buildout rate not seen since post-war electrification.
Key topics covered:
Data center power consumption projected to reach 123 GW by 2035 (up from 4 GW in 2024)
Infrastructure bottlenecks: transformers, interconnection queues, transmission permitting
Behind-the-meter solutions and on-site generation strategies
Stargate, xAI Memphis, and Three Mile Island restart
Grid-dependent vs. grid-independent development risk
The premium for shovel-ready sites with secured power
Related keywords: grid capacity, AI power demand, behind-the-meter generation, interconnection queue, data center power, OpenAI infrastructure, Stargate project, utility constraints
The Power Allocation is brought to you by Spring Street Management Group — translating AI and data center hype into real infrastructure and assets.
4 min
January 26The Water Problem No One Wants to Talk About
A medium-sized data center consumes approximately 110 million gallons of water per year — equivalent to the annual usage of 1,000 households. As AI infrastructure scales, water is emerging as the second binding constraint after electricity, generating community opposition that developers can no longer ignore.
Key topics covered:
U.S. data center water consumption projected to surge to 68 billion gallons annually by 2028
Evaporative cooling mechanics and why water doesn't recirculate
Site selection tension: energy availability vs. water availability
Community pushback and state-level regulatory responses
Closed-loop cooling, liquid cooling, and water restoration programs
Microsoft, Google, and Meta water-positive commitments
Related keywords: data center water usage, AI water consumption, evaporative cooling, water-stressed regions, closed-loop cooling, immersion cooling, water positive data centers, sustainability
The Power Allocation is brought to you by Spring Street Management Group — translating AI and data center hype into real infrastructure and assets.
6 min
January 23xAI's $20 Billion Bet on Mississippi
Elon Musk's xAI just announced the largest private investment in Mississippi history: a $20 billion AI supercomputer facility with 2 gigawatts of power capacity. In this episode of The Power Allocation, we analyze why megascale AI infrastructure is moving to where the electrons are.
Key topics covered:
xAI's $20 billion Mississippi AI training facility
Why 2 gigawatts equals the output of two nuclear reactors
The Memphis 1 gigawatt cluster — the first of its kind globally
Why Mississippi beat Northern Virginia and Silicon Valley for this project
xAI's pursuit of direct nuclear power agreements
How AI infrastructure capital formation now rivals heavy industry
Related keywords: xAI Mississippi data center, Elon Musk AI infrastructure, xAI $20 billion investment, Southaven Mississippi data center, xAI Memphis colossus, 2 gigawatt data center, AI supercomputer facility, xAI Series E funding, AI factory power consumption, megascale AI infrastructure, data center site selection
The Power Allocation is brought to you by Spring Street Management Group — translating AI and data center hype into real infrastructure and assets.
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5 min
January 22Liquid Cooling Becomes Mandatory
Air cooling can no longer keep up with AI. The data center liquid cooling market is growing at 50% annually and has already captured 46% of the market. In this episode of The Power Allocation, we explain why direct-to-chip and immersion cooling are now mandatory for AI infrastructure.
Key topics covered:
Why AI accelerators generate heat densities air cooling cannot handle
The $11 billion liquid cooling market projected by 2030
Direct-to-chip vs. immersion cooling technologies
NVIDIA's hot water cooling architecture at 45°C
Why legacy data centers cannot compete for hyperscaler AI workloads
The difference between "AI-ready" marketing and actual AI-capable facilities
Related keywords: data center liquid cooling, AI chip cooling, direct to chip cooling, immersion cooling data center, NVIDIA liquid cooling, data center thermal management, AI accelerator heat density, data center cooling market, rear door heat exchanger, dielectric fluid cooling, AI-ready data center
The Power Allocation is brought to you by Spring Street Management Group — translating AI and data center hype into real infrastructure and assets.
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5 min
January 21The Political Backlash Against AI Power Demand Is Here
The political backlash against AI's power consumption has arrived. Bernie Sanders wants a moratorium on data centers. Ron DeSantis is blocking AI expansion in Florida. And Tom Cotton's DATA Act could let facilities build their own off-grid power. In this episode of The Power Allocation, we map the emerging political fault lines around AI infrastructure.
Key topics covered:
Senator Sanders' call for a data center construction moratorium
Governor DeSantis' resistance to AI facility expansion in Florida
The DATA Act and its implications for behind-the-meter generation
Why AI data centers could consume 5% of U.S. electricity by 2028
How regulatory risk is reshaping data center site selection
Related keywords: data center regulation, AI power consumption politics, Bernie Sanders data center moratorium, DeSantis AI expansion, DATA Act Tom Cotton, data center electricity demand, grid strain AI, data center site selection risk, behind the meter generation, data center political opposition
The Power Allocation is brought to you by Spring Street Management Group — translating AI and data center hype into real infrastructure and assets.
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5 min
January 20Why Transformers Are the New GPUs
Power transformers have become the unexpected bottleneck in AI infrastructure. Lead times now exceed two years, and data centers across Silicon Valley sit dark — fully built but unable to operate. In this episode of The Power Allocation, we examine why electrical equipment is the new constraint on AI growth.
Key topics covered:
Why transformer lead times have stretched to 24+ months
The 70% price increase in transformer costs since 2019
How the U.S. imports 80% of large high-voltage transformers
Why half of America's distribution transformers are past service life
Capital implications for data center developers and infrastructure investors
Related keywords: power transformer shortage, data center electrical infrastructure, transformer lead times, high voltage transformer supply chain, electrical steel shortage, data center grid connection, AI infrastructure bottleneck, transformer manufacturing capacity, data center power delivery, electrical equipment backlog
The Power Allocation is brought to you by Spring Street Management Group — translating AI and data center hype into real infrastructure and assets.
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5 min

About The Power Allocation

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The AI boom isn't constrained by chips, algorithms, or talent. It's constrained by electricity.

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The Power Allocation

The Power Allocation episodes

About The Power Allocation