AI

Tracking AI Data Centers across America

[AI @AIDataTracker1]

“Rewriting the prioritization system
Of your mind” ✔️✔️

[AI @AIDataTracker1]

The future. 🚩

[AI @AIDataTracker1]

Did this really happen?🚩

[AI @AIDataTracker1]

@Tayvisadmirer She lives inside her lyrics💙

[AI @AIDataTracker1]

@Cloud1a7 @OneBadDude_ 💯finally she fights back✔️

[One Bad Dude @OneBadDude_]

The problem isn’t John Thune, the problem is every other Senator who stands by and watches while doing nothing.

The problem is, they’re all John Thune.

[c downs @cdowns0513]

@OneBadDude_ I don't want a AI Slop data center as a neighbor

[AI @AIDataTracker1]

@CosmicInglewood They only hire 12 people anyway

[AI @AIDataTracker1]

@briefing_block_ 💯

[Kai - Briefing Block @briefing_block_]

The new AI bottleneck is permission.

OpenAI’s GPT-5.6 rollout is being treated less like a product launch and more like a national-security clearance process.

That is the real story.

Not the model name, not the benchmarks, not the usual “faster, smarter, cheaper” cycle.

The shift is that access to frontier AI is now being filtered through government approval, trusted-customer lists, and national-security review.

This is a market structure change.

OpenAI is limiting GPT-5.6 to a small group of trusted partners after discussions with the Trump administration, with broader availability expected later.

The company is also warning that this kind of government access process should not become the long-term default because it keeps powerful tools away from developers, enterprises, cyber defenders, and global partners.

That warning matters.

It tells you OpenAI is cooperating, but it also knows the precedent is dangerous.

Anthropic is the live comparison.

The U.S. government restricted foreign access to Anthropic’s Fable 5 and Mythos 5 models, forcing the company to shut access broadly to stay compliant.

Now Mythos access is reportedly being carved back open for selected U.S. organizations, which almost proves the point: this is not a clean rules-based regime yet, it is discretionary gatekeeping.

For markets, this cuts both ways.

The bullish read is that frontier AI is becoming so strategically important that Washington is treating it like critical infrastructure.

That supports the long-term strategic value of the leading labs, hyperscalers, cloud platforms, cyber vendors, and data-center supply chain.

The bearish read is that product velocity is no longer fully controlled by the companies building the products.

Release timing, customer eligibility, foreign access, and commercial rollout can now be interrupted by political judgment.

That changes the multiple.

AI investors have spent two years underwriting scale, compute, distribution, and model quality.

Now they have to underwrite regulatory proximity.

The companies with the best Washington relationships may get smoother release paths.

The companies with weaker political alignment may face delays, carveouts, or access shocks, even if their models are competitive.

That is how a technology market starts to look like defense, telecom, or nuclear power.

Bottom line: frontier AI is no longer normal software.

The next moat may not just be model performance.

It may be permission to deploy.

[AI @AIDataTracker1]

States are dropping AI date center subsidies, and rapidly trying to prop up the power grid! 🆘🚩

[Department Of Public Protection @johneverybody24]

Read "New Jersey moves to slash AI data center tax breaks and reroute money to power relief" on SmartNews: https://t.co/hU0cDEspni #SmartNews

[AveNews @avenewsam]

AveNews main/business: AI Infrastructure Pushes Resource Limits as Freight Markets Signal

OpenAI and Oracle advance a massive data center in drought-hit New Mexico, U.S. freight volumes point to a second-half recovery, and Lionel Richie moves to trademark his voice against...

[Gaybriel #nichechiyotetwt 🔜 Anthrocon @paper_gabriel08]

Using AI but only Deepseek so that the AI data center problem isn't here in the US where we just mindlessly build them without regard to people, but rather in China where either they're being built more competently, and if not, then at least its not my fellow Americans suffering

[Paul Hague @paulhague247]

1/ AI Data Center Power Supercycle

Explosive generative AI compute growth is shifting Big Tech capex from software to physical infrastructure, creating multi-year bottlenecks in hyperscale data centers, specialized power systems and transmission grids. US data center electricity demand is projected to surge 133% to 426 TWh by 2030, forcing utilities to accelerate generation and grid investments while chronic under-supply of reliable baseload capacity persists. This dynamic directly lifts demand for power-secured sites and electrical contractors beyond pure technology exposure.

Alphabet, Amazon, Microsoft and Meta are projected to spend over $400 billion on data centers in 2026, with utilities filing major generation expansions tied to AI load as of mid-June 2026 filings.

👀 US June CPI release on 10 July 2026 and potential impact on data center financing costs $NXT MAQ SKS SXE

[Paul Hague @paulhague247]

2/ Critical Minerals Supply Shortfall

Electrification, renewable buildout, grid modernization and AI-driven power demand are structurally lifting long-term requirements for copper, lithium and nickel amid decades of underinvestment in new mine supply. Global energy transition investment reached a record $2.3 trillion in 2025, yet IEA forecasts highlight a potential 30% copper supply gap by 2035 driven by EVs, solar, wind and data centers. This creates sustained pricing power for producers with existing output and growth projects.

BNEF data showed energy transition investment up 8% YoY to $2.3 trillion in 2025, with copper demand forecasts revised higher in June 2026 outlooks citing data center and EV acceleration.

👀 China June industrial production data on 15 July 2026 for demand signal $BHP RIO PLS SFR

[Business-News-Today.com @cricket_fundas]

Bloom Energy ($BE) tumbles 13% as data center power competition reshapes AI infrastructure energy thesis https://t.co/k34soyNFyF #BE #BloomEnergy #FuelCells #DataCenterPower #AIInfrastructure #NYSE #FuelCellEnergy #FCEL #NuclearEnergy #SmallCapStocks

[AI @AIDataTracker1]

@followfinance_ 💯

[AI @AIDataTracker1]

Profiting off the destruction of small town America🚩🆘

[Emmanuel – Big Tech & AI Investor @EmmanuelInvest]

🚀 TOP 15 BEST-PERFORMING STOCKS OF 2026 YTD

AI infrastructure, semiconductors, memory, networking, and data center stocks are dominating the market this year.

━━━━━━━━━━━━━━━━━━

🏆 2026 YTD LEADERS

🥇 $SNDK — +781%
🥈 $AEHR — +355%
🥉 $AXTI — +329%
4️⃣ $MU — +297%
5️⃣ $AAOI — +289%
6️⃣ $INTC — +248%
7️⃣ $WDC — +240%
8️⃣ $PENG — +218%
9️⃣ $TWST — +215%
🔟 $MRVL — +214%
11️⃣ $DELL — +213%
12️⃣ $ARM — +206%
13️⃣ $BE — +191%
14️⃣ $DOCN — +190%
15️⃣ $NBIS — +187%

━━━━━━━━━━━━━━━━━━
💡 2026’s Winning Themes
🧠 AI Infrastructure
💾 Memory & Storage
⚡ Semiconductors
🌐 AI Networking
🏗️ Data Centers
☁️ Cloud Compute
━━━━━━━━━━━━━━━━━━
🔥 Key Takeaway
The biggest winners of 2026 are overwhelmingly tied to the AI infrastructure boom.
From memory and storage to networking, chips, cloud platforms, and data centers, investors are rewarding companies positioned to benefit from surging AI compute demand and hyperscaler capex.

AI infrastructure remains the trade of 2026. 🚀📈
$SNDK $MU $INTC $WDC $MRVL $ARM $DELL $NBIS

[AI @AIDataTracker1]

@IErgens @YouTube 💯