In the first quarter of 2026, four of the five largest venture rounds ever recorded closed in a single quarter. OpenAI raised $122 billion alone — more than all US venture funding for the entirety of 2023. Global private AI investment reached $581 billion in 2025, more than double the $253 billion of 2024. Sovereign wealth funds committed an estimated $120 billion to AI infrastructure in 2025–2026 alone.
These numbers are not primarily a story about technology. They are a story about infrastructure capture. The companies receiving this capital are not building products that will eventually be replaced. They are building the operating layer of the next economy — the compute infrastructure, foundational models, and data pipelines through which most of the world's digital, economic, and civic activity will increasingly flow.
Whoever controls the foundational layer controls the terms on which everyone else participates.
The Claims and What Lies Beneath
Every major AI company has published net-zero or carbon-neutral commitments. Google acknowledged in its 2024 environmental report that its 2023 greenhouse gas emissions increased 13% year-on-year, primarily because of increased data-centre energy consumption. The IEA projects data-centre electricity use will rise from 415 TWh in 2024 to approximately 945 TWh by 2030, with AI identified as the primary driver.
On governance: 78% of business executives in Grant Thornton's 2026 AI Impact Survey lack strong confidence that they could pass an independent AI governance audit within 90 days. Self-certification is not verification. A published framework is not the same as an investigated outcome.
What Commons World Can See
Four Pillars are directly relevant. CR preserves every claim an AI company makes — about carbon neutrality, safety frameworks, governance commitments — at the moment it is made. When an independent investigation later finds that emissions increased, the finding is deposited alongside the original claim with equal prominence. The full record — claim, investigation, outcome — becomes permanent and publicly accessible.
ATE investigates across all six audit domains simultaneously: actual energy consumption against verified baselines; documented harms of systems at scale; beneficial ownership through complex fund structures; what happens if the company fails or changes its terms; whether infrastructure is designed for long-term sustainability or short-term capacity.
GAR places verified consequence at the point where capital allocation decisions are made. EL monitors what does not yet have a name — the known unknowns that current governance frameworks have not yet captured.