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Tuesday, September 1, 2026HotTea archive editionVerified 7:38 AM PDT

8 minutes. Facts before narrative.

AI backers are putting money behind data-center fights

A pro-AI group tied to Leading the Future plans a multimillion-dollar ad push in Kansas, Ohio, and Wisconsin. The Pentagon launched ChatGPT Mil and Grok for Government for its workforce. HUMAIN says Saudi production compute is live. SLB agreed to buy a cooling company for $4.1 billion. Europe signed a €387.8 million supercomputer contract.

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AI backers are putting money behind data-center fights

The sourced HotTea edition, condensed into a chaptered morning podcast with verified audio and a full transcript.

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01

The lead

Politics, elections, infrastructure, power costs, and industry influenceData-center permits and power bills are now campaign issues, so AI backers are paying to shape local opinion.

AI backers are putting money behind data-center fights

Build American AI plans a multimillion-dollar data-center campaign in Kansas, Ohio, and Wisconsin. The group says it is affiliated with the pro-AI super PAC Leading the Future.

What happened

Axios reported that Build American AI has about $50 million in cash. The group will spend millions on ads, local outreach, research, and public education. The campaign starts in Kansas, Ohio, and Wisconsin, where data-center development has become an election issue. TechCrunch reported that the group is affiliated with Leading the Future. Marc Andreessen, Ben Horowitz, and OpenAI president Greg Brockman have funded that super PAC. OpenAI has said it does not direct Leading the Future or see its operations.

Why it matters

Data centers need land, grid connections, water, permits, and local approval. Local opposition can now limit AI capacity directly. The industry is answering with election spending and public persuasion, not only engineering and construction.

What to watch

Watch public ad libraries, state campaign filings, utility hearings, and 2027 legislative proposals in Kansas, Ohio, and Wisconsin. Compare promised jobs and tax revenue with binding power, water, and ratepayer terms. Ad reach is not the useful result. Clearer local project rules and visible costs are.

The caveat

The campaign has announced its budget and target states. It has not published complete ad buys or evidence that it changed voters. A super PAC affiliation does not prove that every funder controls this campaign. OpenAI has publicly separated the company from Leading the Future's work.

Axios: AI advocacy group launches data center push in battleground states TechCrunch: A group funded by Andreessen, Horowitz, and Brockman plans data center ads to sway midterms
Read this story on its own →

Worth knowing

The rest of the morning

Facts, pressure point, next evidence.

02
Defense, procurement, sensitive data, model controls, and public oversightThe Pentagon put two more commercial model families behind one portal for its workforce.

The Pentagon launched ChatGPT Mil and Grok for Government

The Pentagon launched ChatGPT Mil and Starshield AI's Grok for Government on GenAI.mil on August 31. TechCrunch reported that both tools join Google's Gemini in the secure portal. The department said Grok has Impact Level 5 approval for controlled unclassified information. The department also said GenAI.mil has more than 1.7 million unique users across a workforce of more than 3 million people. OpenAI says data processed through its government deployment stays inside the government environment and does not train its public models.

Pressure point The Pentagon's claims about faster work and better missions are official claims. Public releases do not show independent security tests, refusal logs, incident records, or model-level audit results. Impact Level 5 approval does not establish safe use on classified networks or in weapons. The launch also makes Anthropic's absence from the portal harder to ignore.

Watch Watch usage reports, security incidents, audit rules, retention policies, and model-specific controls. The Pentagon should separate routine drafting and logistics from decisions that affect surveillance, targeting, or force. Independent tests need to show whether the same controls work for every vendor in the portal.

TechCrunch ↗U.S. Department of War ↗OpenAI ↗
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03
Sovereign AI, chips, networking, cloud capacity, and export dependenceSaudi Arabia moved one AI infrastructure partnership from a plan to a live customer service.

HUMAIN says its AMD and Cisco compute is live

AMD, Cisco, and Saudi state-backed HUMAIN said their AI system is now serving customers. It uses AMD Instinct MI355X GPUs, AMD EPYC CPUs, and Cisco networking. HUMAIN will offer the system as a GPU service for model training and inference. The companies plan to start a second phase of up to 250 megawatts in 2027. Their joint venture still targets up to one gigawatt by 2030.

Pressure point This is a company claim in two versions of the same joint announcement. The companies did not disclose live megawatt capacity, GPU count, customer names, utilization, service prices, or measured performance. The 250-megawatt and one-gigawatt figures are plans, not operating capacity.

Watch Watch for named customers, live capacity, utilization, pricing, and independent performance tests. The second phase should disclose construction milestones and how much capacity has firm demand. Export approvals and power commitments will decide how much of the 2030 target becomes usable compute.

AMD ↗Cisco ↗
Read article →
04
Companies, cooling, energy services, capital spending, and AI infrastructureAn oilfield-services company is paying billions for equipment that pulls heat out of dense compute.

SLB agreed to buy data-center cooling company Kelvion for $4.1 billion

SLB agreed to acquire Kelvion for about $3.4 billion in cash and assume about $700 million of debt. Reuters reported a total value of $4.1 billion including debt. Kelvion makes thermal-management and heat-exchange equipment. SLB expects the deal to close in the first half of 2027 after customary approvals.

Pressure point The transaction has not closed. SLB's revenue, margin, and synergy figures are company projections. The purchase adds cooling equipment to SLB's modular data-center work. SLB still has to integrate Kelvion and win orders at the prices behind the deal.

Watch Watch regulatory approvals, financing, customer retention, and the closing date. After closing, compare actual data-center revenue and margins with SLB's 2028 targets. Order growth and installed cooling capacity will show whether SLB bought real demand or a larger sales pitch.

U.S. Securities and Exchange Commission ↗Reuters ↗
Read article →
05
Science, public compute, European capacity, energy, and industrial policyEurope signed a large public-compute contract instead of announcing another broad capacity goal.

Europe signed a €387.8 million contract for LUMI-AI

The European High Performance Computing Joint Undertaking signed a €387.8 million contract with Bull to deliver LUMI-AI in Kajaani, Finland. The EU will fund half, and the six-country LUMI AI Factory group will fund the rest. AMD says the system will use Instinct MI430X GPUs and 256-core sixth-generation EPYC CPUs. Deployment is scheduled for the second half of 2027. The system is meant for research, startups, industry, AI training, inference, and scientific simulation.

Pressure point The contract is real, but no one has measured the performance yet. EuroHPC and AMD expect ten times the AI capacity and almost twice the high-performance computing capacity of the current LUMI system. They have not published the GPU count, power draw, benchmark method, or delivered performance. Installation is still more than a year away.

Watch Watch the final system design, GPU count, power budget, access rules, and build schedule. Public users need clear prices and allocation rules. The first acceptance tests in 2027 should measure training, inference, and scientific-computing performance against the current LUMI system.

European High Performance Computing Joint Undertaking ↗AMD ↗
Read article →

The whole AI power map

AI is no longer a tech beat.

HotTea follows where AI moves power, money, labor, security, and state capacity—not only where a new model scores higher.

01

Politics & regulation

Elections, procurement, courts, surveillance, lobbying, and state power.

02

Economics & labor

Productivity, wages, employment, capital spending, concentration, and who captures the gains.

03

War & security

Autonomy, cyber operations, intelligence, targeting, export controls, and escalation risk.

04

AI geopolitics

Chips, energy, alliances, sovereign capability, supply chains, and strategic competition.

05

Markets & companies

Funding, revenue, margins, model economics, enterprise adoption, and infrastructure bets.

06

Science & society

Medicine, education, climate, culture, research, rights, and measurable public outcomes.

Elections, military systems, sovereign compute, cooling, and public infrastructure

Compute policy has left the server room

AI capacity now depends on campaign spending, government portals, national infrastructure deals, cooling equipment, and public supercomputers. These institutions decide where compute gets built, who can use it, and which costs stay public.

1

Local power and water disputes can now delay AI capacity, so industry money is moving into elections and public opinion.

2

Government and military portals can spread one model policy across millions of users. Platform logs and controls matter as much as model tests.

3

Signed contracts and live services prove more than capacity targets. Measured use, cost, and performance still decide whether the spending worked.

The watchlist

Signals that could change the read

WatchlistPublic ad buys and utility decisions in Kansas, Ohio, and Wisconsin.Tracking
WatchlistPentagon audit records and model-specific controls for GenAI.mil.Tracking
WatchlistNamed customers and measured live capacity for HUMAIN's Saudi service.Tracking
WatchlistKelvion regulatory approval and LUMI-AI acceptance tests.Tracking

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Every reported item links to its source. Company claims remain company claims. High-risk stories require stronger corroboration. Material caveats, conflicts, and unknowns stay in the story. HotTea’s interpretation is visibly separated so readers can disagree without losing the facts.

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