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.

One in five US workers say AI now does work they once handed to a coworker or contractor, per a new Epoch AI/Ipsos survey of 1,106 employed adults.

Notable organizations disclosed ~2,500 high- and critical-severity CVEs in July 2026, about 5× the pre-Mythos monthly record. Epoch AI's updated breakdown of vulnerability disclosures following Anthropic's Project Glasswing.

Even with automated AI R&D producing millions of virtual researchers, progress may be capped by our ability to divide, coordinate, and recombine their work. Epoch AI on why parallelization technology is a missing parameter in intelligence explosion models.

Expert assessments and cyber benchmarks led us to expect that frontier models were capable of executing this kind of cyberattack

We tested Pangram, GPTZero, and Originality.ai on human and AI text. All three caught nearly every passage written from a simple prompt, but missed roughly one in five passages imitating a specific author's style.

AI compute draws tens of gigawatts globally—comparable to New York state—yet a single chatbot query uses less than a microwave in 10 seconds. Epoch AI's guide to AI energy use, from training to inference to local grid impacts.