Powering AI @PoweringAI

MS: We Are Likely in the Early Stages of Another Productivity Boom Productivity Growth Appears To Be Turning Higher Again

Jensen Huang said AI has 5 layers of value. India doesn't have a presence in any of them. ⚡ Layer 1 — Energy. A hyperscale AI campus now draws 1–2 gigawatts — a mid-sized nuclear reactor, for one building. China added nearly India's entire installed grid in new capacity last year. 💾 Layer 2 — Chips. The silicon brain and everything that makes it. → GPUs: Nvidia (US), AMD (US), Broadcom (US) design. TSMC (Taiwan) fabs at the cutting edge. → HBM, the high-speed memory beside every GPU: ~90% Korea. → ASML (Netherlands) has a monopoly on the one machine that prints the most advanced chips. → Silicon wafers ~60% Japan. Photoresist ~90% Japan. 🏭 Layer 3 — AI infrastructure. The data centre and everything around the chips. → Hyperscale cloud: AWS (US), Azure (US), GCP (US); Alibaba (China), Tencent (China). → Servers and AI-rack cooling: Supermicro (US), Vertiv (US), Schneider (France), Eaton (US). → Commodities: copper (Chile, Peru), niobium (~90% Brazil), rare earths (~85% processed in China). 🧠 Layer 4 — Models. Closed: OpenAI (US), Anthropic (US), Google (US), Meta (US). Open: DeepSeek (China), Qwen (China), Kimi (China). 💻 Layer 5 — Applications. ChatGPT (US), Copilot (US), Cursor (US), Claude Code (US), Agentforce (US). Mostly US. Increasingly Chinese. China has a presence in all 5. Korea owns HBM. Taiwan owns the cutting-edge factory. Netherlands owns the machine that makes it possible. India: Layer 1 — grid stretched, industrial power expensive and patchy. 24/7 clean power is hard to deliver today. Layer 2 — no frontier chip factory. Tata-PSMC (India-Taiwan) at ~28nm is a decade behind AI chips. India's chip design talent works for Nvidia (US), AMD (US), Qualcomm (US), Intel (US). Value flows to US balance sheets. Layer 3 — India builds the data center buildings (Yotta, Adani, Reliance) and generic industrial power and cooling gear (BHEL, Crompton, Blue Star). But no hyperscale cloud, and no specialized AI-rack cooling or power shelves. Every Indian AI startup runs on AWS (US) or Azure (US). Layer 4 — Sarvam, Krutrim (India). Real teams, orders of magnitude below the frontier. Layer 5 — Zoho, Freshworks (India) are real SaaS businesses, but their AI features — like most Indian AI-app startups — are thin wrappers on OpenAI (US), Anthropic (US), Google (US). And not agentic. Agents are where the flywheel lives. India has no agentic platform at that scale. This is a 30-year-old choice. India bet on services and not manufacturing. TCS, Infosys, Wipro, HCL (India) built a ~$250B export industry. It paid off. But services sit above the stack — they don't own any layer of it. India's AI Mission is ~$1B. China's is in the hundreds of billions. That's not a gap to close — it defines the game.

Mapped: America’s Data Center Construction Boom 🏗️ visualcapitalist.com/mapped-america…

Texas created a Texas Advanced Nuclear Energy Office to accelerate reactor development in the state. The goal is simple. Electric demand is rising from AI data centers, manufacturing, and population growth. Natural gas can fill the gap short term. But nuclear is one of the few sources that can provide large scale 24/7 power for decades. Texas is positioning itself to build it.

Datacentres now account for 7% of US electricity demand

Global power demand is set to grow by more than 3.5% annually to 2030 as the Age of Electricity takes hold Rising electricity use in industry, the uptake of EVs, higher air conditioning use and the growth of data centres & AI are leading this expansion 👉 iea.li/3ZQdHFY

Bret Baier nails it: AI is fueling new energy sources, not draining them. Demand drives investment. Historic opportunity if we don't fumble permitting. @BretBaier

White House pushing data center deals to curb price spikes. Smart - let Big Tech foot the bill for upgrades, keep consumer rates steady. Reliability first.

Reuters: Hyperscalers spending $600B on AI in 2026, spiking turbine/grid demand. Siemens up 10x since '24. This is the energy renaissance. @Reuters

Data centers + AI = historic electricity demand. Good news: it's driving the biggest power buildout in decades. Bad news: only if we stop delaying permits. Time to build fast. "

Microsoft's new 'community-first' framework for data centers: transparency + local investment + shared benefits. This is how responsible AI infrastructure gets built. Smart move. @Microsoft

AI isn't the villain - underbuilding is. Every major forecast (IEA, EIA, grid operators) shows surging demand. The answer isn't less AI. It's more generation. All sources welcome. #AIPower #EnergyDemand"

Data center development works best with local buy-in. Microsoft is rolling out a “community-first” framework focused on transparency, infrastructure investment, and shared benefits – a model for responsible AI growth. @Microsoft @BradSmi

Read this carefully. The @IEA isn’t warning about AI – it’s warning about underbuilding. Demand is coming either way. *Supply* is the choice.

International Energy Agency @IEA

5 months ago

Explore World Energy Outlook 2025 report 👇 Current Policies Scenario: iea.li/4i3hZ5l Stated Policies Scenario: iea.li/3JVGeFN Implications: iea.li/4nX76Dt ACCESS Scenario: iea.li/47QgRPb Net Zero Emissions by 2050: iea.li/3JD6KE2

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AI, EVs, data centers, electrification – the IEA says they’re all driving the same outcome: A power-hungry economy. Growth requires generation. Delay just raises prices. @IEA @ENERGY

International Energy Agency @IEA

5 months ago

Explore World Energy Outlook 2025 report 👇 Current Policies Scenario: iea.li/4i3hZ5l Stated Policies Scenario: iea.li/3JVGeFN Implications: iea.li/4nX76Dt ACCESS Scenario: iea.li/47QgRPb Net Zero Emissions by 2050: iea.li/3JD6KE2

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AI demand is real – and so is the solution. President Trump says Big Tech should help fund new power plants to strengthen the grid, support data centers, and keep electricity reliable and affordable. Growth requires generation. @realDonaldTrump @WhiteHouse @ENERGY

New power generation is stepping up to meet AI demand. @Chevron says it’s building natural-gas-powered energy parks for hyperscale data centers, expanding supply and reducing pressure on the broader electric grid, while shielding customers from costs. foxbusiness.com/media/chevron-…

Grid operators are planning ahead for growth. PJM is developing a comprehensive approach to meet rising electricity demand from data centers while maintaining reliability and limiting cost impacts on consumers. kleinmanenergy.upenn.edu

The IEA just confirmed what grid operators already know: Electricity demand is surging in every scenario. AI didn’t break the grid. It exposed years of underbuilding. The fix is obvious: build more power. @IEA @ENERGY

International Energy Agency @IEA

5 months ago

Explore World Energy Outlook 2025 report 👇 Current Policies Scenario: iea.li/4i3hZ5l Stated Policies Scenario: iea.li/3JVGeFN Implications: iea.li/4nX76Dt ACCESS Scenario: iea.li/47QgRPb Net Zero Emissions by 2050: iea.li/3JD6KE2

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Headlines from 'Powering AI: Energy, Data Centers & Infrastructure' 🏭 Trump Administration Moves to Halt Nearly All US Coal Plant Retirements ❄️ Largest US Power Grid Operator PJM Braces for Arctic Freeze This Weekend 🌬️ Federal Courts Back Offshore Wind Projects, Dealing Blow to Trump Administration 🤖 OpenAI Explores Cerebras Chips to Cut Reliance on Power-Hungry NVIDIA GPUs ☁️ Microsoft AI Cloud Deal Fuels 2GW Growth for Data Center Provider IREN ➕ 5 other stories of interest Listen to the brief here: app.bobbi.cc/shared/TAxV1gy… Sign up for personal briefs and additional channels at app.bobbi.cc