Daily data refresh: the Super Intelligence Force, Amazon’s 15% chip-rental hike, Goldman’s AI-concentrated earnings, a $300M chip-smuggling indictment
Today’s AI-economy briefing, verified and folded into the data. Policy: Trump signed EO 14434 (Sep 29) rebranding AI as “Super Intelligence” in federal communications, then stood up the Super Intelligence Force (Oct 4) — DNI Jay Clayton chairs as formal AI czar, with a 120-day risk report due and a legal definition of “Super Intelligence” due in ~60 days that decides which commercial systems fall under national-security oversight. Enforcement: the DOJ arrested Earthmade Computer’s CEO (Oct 1) for allegedly smuggling >$300M of Nvidia A100/H100 servers to China via Malaysia and Singapore — the first prison-time case for AI-compute diversion. Capex & earnings: Amazon hiked EC2 chip-rental prices ~15% as Jassy confirmed $220B of 2026 capex with demand outstripping supply through 2027 (“the demand we already have for 2028 is striking”); JPMorgan AM counts ~$250B in bond-market plus ~$250B in bank-loan funding for hyperscaler capex — global cash underwriting the buildout, with off-balance-sheet and concentration warnings. Markets: Goldman’s Q3 preview sees S&P 500 EPS +27% with AI infra companies driving >50% of the growth — but breadth at dot-com-bubble lows and only +9% for the median company. Energy & grids: Gallup finds 71% of Americans oppose local AI data centers (worse than nuclear plants) — the permission bottleneck, quantified. Perspectives: Sequoia’s Pat Grady LP briefing (AGI arrived Nov 2025, $10–20T services prize, Bullish), McKinsey Global Institute’s 82-page workforce report (“mobility, not scarcity”, Mixed), Grayscale’s October AI-crypto outlook (+54% September, Bullish), and Goldman’s earnings-concentration note (Mixed).
See the full changelogImpact Suite
Mapping the AI buildout as a market — who builds, who funds, who pays, and what changes for people over the next decade.
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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