Daily data refresh: the FTC’s AI-agent probe, the first appeals ruling on AI training, Burry’s leveraged bear bet, a 3% US–China model gap
Today’s AI-economy briefing, verified and folded into the data. Policy: the FTC confirmed a formal investigation into OpenAI and Anthropic over consumer risks from autonomous agents — formal document requests within weeks — with California’s AG subpoenaing OpenAI (Oct 1) and 15 state AGs piling in; and the Third Circuit affirmed that ROSS Intelligence’s copying of Westlaw headnotes to train its legal-search AI was not fair use — the first federal appellate ruling on AI training, though the court explicitly left generative-AI questions open. Adoption & productivity: BCG’s Applied AI Index 2026 finds banks put 5.7% of revenue into AI (most of any sector), corporate AI spending doubled to 3.3% of revenue, and nearly half of companies now capture real value; NVIDIA’s healthcare survey shows $3.20 back per $1 invested in ~14 months, with 63% of health organizations actively using AI. Sovereign AI: India’s AI Mission can access only ~30,000 of 45,000 committed GPUs, so the Centre is building its own pool — 3,000 GPUs with C-DAC plus a UAE-‘gifted’ 8-exaflop supercomputer via G42 and Cerebras. Finance: 76% of treasury teams were hit by payment fraud in the past year (53% faced deepfake attempts), and Fideuram lost ~€95M to an AI-cloned voice — ~€36M still missing in crypto. Capital: Granite Asia ($11B AUM) and PSA International launched a $50M fund for AI in ports and logistics; OneByZero raised $20M to deploy governed AI agents across APAC enterprises. Perspectives: Michael Burry moved his AI-bubble timeline up and replaced shorts with leveraged June/Sept 2027 puts (Bearish, Valuations); Bloomberg Intelligence puts the US–China frontier model gap at 3% after DeepSeek V4.1 Flash (Bearish, Chips & compute); Goldman’s Peter Callahan says AI is becoming ‘a stock picker’s market’ as the trade broadens beyond semiconductors (Mixed, Valuations).
See the full changelogAI is rebuilding the world economy. Here’s the evidence.
A live knowledge graph mapping how artificial intelligence is reshaping every sector, company, policy, and city — updated daily, cited to primary sources.
New here? Start here — pick your 10-minute path.
Evidence by domain
Each domain is a research area with cited claims, primary sources, and live data.
The AI data center buildout: the power edge
What the buildout is actually doing to power — traced three orders deep, every figure sourced. Not a pitch; the data.
The five largest tech firms spent $400B+ in 2025 and are set to raise it ~75% in 2026 — most of it AI infrastructure. [11] IEA
This spending builds the data centers that consume the electricity above — and drives the price spike below.
From $28.92 to the $333.44 cap in three years; the grid's market watchdog pinned ~63% of the jump on data centers. [12] RTO Insider [5] Utility Dive
This cost gets passed to electricity bills — that's where regular people start paying for the AI buildout.
Thousands to build (~800–1,200 at peak); ~25–50 to run it. Billions of capex, dozens of permanent staff. [8] Brookings
The construction boom is real but temporary — and it pulls workers from housing and other projects that also need them.
Every figure sourced · who wins & who pays, three orders deep · as of September 2026