Since mid-2024, the record for the largest AI data center by IT power capacity has doubled every ten months. Epoch AI's analysis of frontier data center power trends through 2028.

Huawei plans major gains in AI chip performance by 2030, but US export controls cap its most important scaling levers. Epoch AI estimates Huawei will produce less than 4% as much AI compute as Nvidia in 2026, a share that could be around 1% by 2028 without access to foreign memory.

A benchmark of 68 significant Erdős problems, open as of August 2026, curated by Thomas Bloom and formalized in Lean. AI systems must prove or disprove them within a fixed budget.

How quickly are Anthropic and OpenAI growing their revenue?

US GDP growth has been underestimated by about 0.3 percentage points because statistics miss most of Nvidia's US-generated income, a gap that could widen to 2 points by 2028. Epoch AI traces the accounting gap through Nvidia's fabless chip supply chain.

Epoch AI/Ipsos survey: 67% of AI-using workers in computer, engineering, and science jobs use employer-provided AI.

A good benchmark asks more than just “can AI do this specific task?”

Since 2023, the average dollar spent on AI chips each quarter has yielded about 49% more performance each year in constant 2025 dollars, doubling every 1.7 years as spending shifts to each new chip generation.

Why Anthropic's buildout suggests that financing is unlikely to be the immediate blocker to frontier AI compute growth.