Latest update · 2026-09-30

Daily data refresh: White House AI accord, McKinsey's 11M occupational switches, Nvidia's financing loop, Malaysia neocloud surge

Today's AI-economy briefing, verified and folded into the data. Policy: Trump and six AI-company leaders (Amodei, Pichai, Zuckerberg, Brockman, Huang, Musk) signed the White House Accord on Superintelligence — a voluntary four-tier framework (internal controls, independent external auditor, board-level committee) Trump calls 'morally binding'; it says the steps may later be codified into law. Meanwhile Nvidia and AMD are lobbying to strip China chip export provisions (AI OVERWATCH Act) from the FY2027 NDAA — Bernstein sees Nvidia's China AI-chip share falling from ~40% to ~8% by end-2026 as Huawei takes ~50%; and Italy's AI-safety criminal decree (No. 160/2026) entered into force today. Labor: McKinsey estimates ~11M US workers (~7% of the labor force) may need to switch occupations by 2035 — automation could cut 36M jobs but create 40M, with low-wage workers 8x more likely to face a switch; Workday disclosed a second 2026 layoff round (~500 jobs, 2.5%, mostly Product & Technology) in a Form 8-K. Capex: Nvidia added $150B to its buyback authorization (~$235B remaining through FY2028), and the FT reports it is in early talks with insurers on residual-value coverage for chip-backed loans to neoclouds — the debt-financed buildout keeps looking for someone to underwrite the risk. Energy: Bitdeer AI pre-committed >70% of its 21.7 MW Malaysia site (GB300 NVL72, Vera Rubin-ready) at >$1.7B expected revenue over five years — $1.7B of demand signed before the power is on.

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SundayPyjamas Impact Foundation

Impact 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.

Global data-center electricity use (TWh/yr)

Surged ~17% in 2025 to ~485 TWh; set to roughly double to ~950 TWh by 2030. [11] IEA [1] IEA

This electricity has to be paid for — the next chart shows where the money comes from.

Big Tech capital spending ($B/yr)

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.

Cost of reserving future electricity — eastern US grid ($/MW-day)

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.

Jobs per ~100 MW data center campus

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.

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Every figure sourced · who wins & who pays, three orders deep · as of September 2026