Overview
Google (Alphabet) is the search-and-AI giant whose moves recur across the wiki’s AI cluster — the Jevons Paradox memory/efficiency story (Cheaper AI Won’t Use Less of Anything), the Nano Banana image-model piece, and the antitrust-vs-AI-buildout tension. It is simultaneously the defendant in the landmark search-monopoly case and one of the largest AI-capex spenders driving the buildout the newsletter tracks.
Key Facts
- Antitrust remedy (Sept 2025): Judge Mehta ordered Google to end exclusive search-distribution contracts and share limited search-index + user-interaction data with competitors — but declined to force a Chrome divestiture. Google may no longer condition app licensing on the distribution of Search, Chrome, Assistant, or the Gemini app. (DOJ)
- Gemini scale: 750M+ monthly active users (up from ~400M nine months earlier); Gemini 3 launched December 2025; 8M+ paid Gemini Enterprise seats. (Phemex)
- AI capex: guided to $175–185B in 2026 capex — more than double the prior year — almost entirely data-center infrastructure for AI. (Phemex)
- Revenue: crossed $400B annual revenue for the first time; Google Cloud grew 48% YoY in Q4 2025.
- Wiki appearances: Google’s memory/efficiency breakthrough is the Jevons Paradox case study in Cheaper AI Won’t Use Less of Anything (cheaper AI scales appetite rather than reducing it); its Gemini 2.5 Flash Image (“Nano Banana”) anchors Google’s Nano Banana Revolution.
Newsletter Relevance
Google sits at the intersection of two wiki themes that usually run separately: antitrust/power (a court has finally constrained the search monopoly but stopped short of structural breakup — the “remedy without a divestiture” pattern) and AI-buildout/monetary (its ~$180B capex is a load-bearing input to the grid/power constraint and the Jevons Paradox dynamic). The same company is the cautionary case for competition policy and a primary driver of the energy/grid bottleneck — a tension the newsletter’s “infrastructure control as the master variable” frame can hold in one piece.
Connections
- OpenAI / Nvidia — AI-race rivals and the compute layer
- Jevons Paradox — the efficiency-scales-consumption dynamic Google’s memory breakthrough illustrates
- AI Buildout Grid Constraint / PJM Interconnection — its capex is a demand input to the grid bottleneck
- AI DRAM Crisis — Google’s TPU/memory moves ripple into the chip/memory market
- Cheaper AI Won’t Use Less of Anything / Google’s Nano Banana Revolution — the articles it anchors
Source Appearances
- Cheaper AI Won’t Use Less of Anything — the Jevons Paradox / memory-breakthrough case
- Google’s Nano Banana Revolution — Gemini 2.5 Flash Image identity persistence
Open Questions
- Does the Mehta remedy (data-sharing, no breakup) meaningfully dent the ~90% search share, or is it the “remedy without teeth” pattern the wiki tracks elsewhere?
- How much of the 2026 grid/power constraint is attributable to hyperscaler capex (Google ~$180B) versus the OpenAI/Oracle Stargate buildout?
Web Sources (researched 2026-05-31)
- DOJ — remedies against Google (Sept 2025); Phemex (capex, Gemini, financials); Brookings (competition-policy analysis)