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A six-layer framework that decomposes Huang’s AI stack into the value-creating activities executives actually compete on. Intelligence Creation, Orchestration, Enterprise Integration, Industry Intelligence, Consumer Interface, Physical Execution — where moats live, where commoditization has arrived, and how Tesla, ByteDance, Klarna, and Walmart each capture value at different layers.

Coase asked in 1937 why firms exist at all. AI is rewriting his answer. The coordination rationale weakens; the ownership rationale (profit, risk, residual control rights) strengthens. Six laws describe the AI-native firm, and five reorganizations describe what CEOs must build — workforce, organization, competitors, customers, and society moving at once.

A four-stage maturity model (Tool → Process → Workforce → Operating System) crossed with a strategy landscape that shows which moves become feasible at each stage. Why 88% of firms sit at Stage 1, why Klarna’s reversal was a sequencing failure, and how each strategy funds the next stage of organizational transformation.

The IVC applied to geography. The U.S. leads in building intelligence ($109B private AI investment, frontier models). China leads in deploying it (83% enterprise adoption, $490B Douyin GMV vs. $26B TikTok Shop, DeepSeek’s $5.6M training run). Three asymmetries — data, speed-vs-depth, regulation — that will define the next decade.

Most companies finished Step 1: apps, stores, communities, data platforms. They stopped there — the Transformation Trap. Step 2 is Intelligent Activation: operating the same infrastructure through AI and four information flows that turn every customer interaction into compounding intelligence. The diagnostic and the path forward.

Chinese brands built customer ecosystems they own—super-apps, communities, member systems—before Western brands recognized that platform dependency was a strategic risk. As AI mediates more of the consumer journey, owning your data and user relationships becomes the differentiator. The private-domain playbook, adapted for global brands.

Segment-of-one marketing is now technically possible, but most brands still run cohort-level campaigns and call it personalization. Six properties that distinguish genuine hyper-personalization from targeting — and the data, algorithms, and decision rights brands need to deliver it.

The next phase of marketing AI is not automation — it is machine thinking: systems that reason, negotiate, and act with brands. Where human judgment still wins, where algorithmic judgment is now superior, and how to architect decision rights between the two so neither side becomes a liability.