The AI power gap
AI is turning data centres into critical infrastructure, but power systems were not built for this pace or scale. Over the next decade, the gap between digital demand and available clean, reliable power will decide where AI and the wider digital economy can actually grow.
AI Proliferation
AI is moving into the real economy: optimising factories, supply chains, power grids, ports, and public services, not just software. These industrial‑scale deployments run 24/7, turning AI from bursty experiments into permanent, power‑intensive infrastructure loads.
Demand Surge
Global data‑centre power demand is expected to ~4X by 2035, lifting the sector’s share of electricity use from about 1–2% to around 4–8%. New AI hardware packs far more compute into each rack, driving much higher power draw even when the data‑centre footprint does not grow.
Supply Friction
Connecting large new data‑centre loads to high‑voltage grids often takes 5–10 years of studies, permits, and new lines and substations. In major hubs, congested networks mean projects are queued, downsized, or pushed to less optimal locations just to find available MWs.
Bespoke Projects
Most AI‑era data centres are still one‑off builds, each with its own power deals, interconnection, contracts, and local negotiations. This bespoke model slows execution and makes it hard for utilities and investors to scale capacity quickly or consistently.
Do you want to build the future of the AI economy?
contact@ti-byte.com
+1 (302) 237 38458
The Green #10894
Dover, 19901, United States
Grid Independence
Nuclear-AI factories generate power on-site, eliminating interconnection queues, and utility grid constraints.
Low-Carbon Baseload
Our Nuclear-AI factories deliver carbon-free compute. Nuclear is the only firm, zero-emission solution at scale.
GW Scaling
Each Nuclear‑AI factory adds 300 MW of dedicated compute; stack facilities to reach GW-scale capacity on demand.
Standardization
Nuclear‑AI factories follow a standard architecture so that every project reuses a proven design and delivery playbook instead of bespoke delivery.
Bankable by Execution
TiByte and its partners aim to make Nuclear‑AI factories investable by proving the full system in the real world.
This creates projects that can repeatedly attract long term infrastructure capital, with clear responsibilities, reliable revenues, and counterparties who know how to deliver.
Deploy
Work with government, utilities, and technology partners to deliver an initial wave of 300 MW pilot Nuclear‑AI factories on selected federal and transition‑ready state sites.
These first projects are designed as visible proof points across commercial, safety, social, and operational performance.
Accelerate
Capture lessons from the pilots and fold them into a refined Nuclear‑AI factory reference design that guides approvals, construction, and operations.
Each new site then starts closer to the finish line, with faster approvals, fewer design changes, and clearer expectations on cost, schedule, and performance.
Industrialize
With a proven design and track record, Nuclear‑AI factories become a repeatable asset class that can be rolled out as a fleet across regions.
For communities, this builds a growing network of clean‑energy AI infrastructure; for investors, it offers a repeatable, lower‑risk project type that can scale to multi‑gigawatt fleets over time.