The Billion-Dollar AI Boom is Here — But It’s Not What You Think

We’re past the hype cycle. Now?

$90B+ in real capital is being poured into AI infrastructure, energy, and cloud ecosystems.

Not just startups;

🟡 It’s Google investing $25B in hydropower and data centers

🟡 Amazon backing AI with nuclear energy

🟡 Blackstone & Knighthead building massive natural gas infrastructure

🟡 CoreWeave launching state-of-the-art GPU clusters in Lancaster

🟡 Brookfield & Constellation betting on hydro + nuclear to power AI scale

And globally? Oracle, MiniMax, Thinking Machines, Open Evidence, and others are scaling hard into cloud, med-tech, legal AI, and supercomputing.

If you’re building in AI and only thinking about apps and tools you’re missing the power shift.

The smart founders are watching where energy meets infrastructure.

The smart educators are preparing the next wave of AI talent.The smart strategists are creating partnerships and policy at the intersection.

🗣 Let’s talk. How can we position ourselves at the heart of this next wave?

The Numbers break down:

Over $90B in AI and energy investments announced at the Pennsylvania Energy and Innovation Summit.
MiniMax, valued at $4B, filed for a Hong Kong IPO and aims to debut this year, fueling a race among China’s AI startups backed by Alibaba and Tencent.
Oracle announced a $3B investment to expand AI and cloud infrastructure in Germany and the Netherlands over the next five years.
Thinking Machines Lab, founded by ex-OpenAI CTO Mira Murati, raises $2B led by a16z with NVIDIA and AMD, reaching a $12B valuation for multimodal AI.
OpenEvidence landed $210M at a $3.5B valuation, targeting real-time medical search and decision support.
Georgia Tech’s $20M Nexus supercomputer, funded by NSF, will deliver over 400 quadrillion operations per second to boost AI research by spring 2026.
Felt raised $15M in Series B to power AI-driven geospatial mapping for wildfire, flood, and environmental monitoring.
Callidus Legal AI raised $10M to build an AI “co‑pilot” for litigation workflows.