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AI Business & IndustryGIGAZINE AIPublished: Nov 4, 2026, 10:00 JST

Will Manidis and Joe Roberts: AI wealth shifts to distribution, not models

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Will Manidis and Joe Roberts: AI wealth shifts to distribution, not models

3 Key Points

  1. What happened

    In "The Commanding Heights," published October 29, 2026, Will Manidis and Joe Roberts argue AI models are commoditizing, so profits will accrue to companies controlling distribution and payment rails, not model builders.

  2. Why it matters

    Their historical analogy suggests model developers may struggle to recover massive R&D costs, while distributors owning lasting positions could capture the long-term gains as AI adoption spreads.

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Context & Analysis

The essay builds its case on historical parallels. Johannes Gutenberg pioneered the printing revolution but ended in financial difficulty, and the vast wealth created by railways flowed not only to locomotive inventors but also to those who used rail to build transport and financial businesses. Manidis and Roberts argue the same pattern will hold for AI: the companies that create the technology are not necessarily the ones that capture the economic benefits.

Geopolitically, the essay predicts that only the United States and China will be able to sustain cutting-edge AI development, turning the AI race into a state-level contest that shapes national security and economic influence. Simon Taylor, a financial and AI expert, highlighted in an October 30, 2026 X post that the U.S. holds about 70% of global AI compute versus about 5% for China, and pointed to the essay's suggestion that the U.S. government could support AI investment, potentially even through policies affecting Treasury yields.

FAQ
What is commoditization in the context of AI models?
Commoditization means that products or technologies once holding special value become widespread and hard to differentiate, leading to price competition. The essay argues cutting-edge AI models are now rapidly matched by later arrivals, eroding developers' pricing power.
Who is affected by the shift to distribution and payment systems?
According to the essay, companies controlling AI distribution channels and financial infrastructure could gain. Meanwhile, model developers may see their advantages erode, and developing countries relying on labor arbitrage could face job losses from AI-driven automation.
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