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TL;DR
As AI becomes increasingly abundant and nearly free, the core sources of value shift from intelligence itself to physical infrastructure and human judgment. This transformation raises questions about sovereignty and economic power.
Recent industry forecasts and expert analysis indicate that AI is becoming a commodity, with its cost approaching near-zero levels. This shift is fundamentally changing where economic and strategic value resides, moving away from raw intelligence toward physical infrastructure and human judgment, with significant implications for sovereignty and competitive advantage.
Thorsten Meyer, a prominent thinker in AI economics, explains that as AI models become cheaper and more ubiquitous, the value shifts from intelligence itself to the physical means of production. This includes data centers, chips, power infrastructure, and supply chains that enable AI deployment at scale. Building and maintaining this physical capacity remains a costly, time-consuming process, creating a durable moat that cannot be easily replicated.
Furthermore, Meyer emphasizes that despite the abundance of AI, human judgment remains irreplaceable. People value accountability, trust, and responsibility—traits inherently human—making human oversight and decision-making a scarce and valuable complement to AI outputs. This human element sustains economic value even as AI models become more advanced and accessible.
The forecast is right: intelligence becomes a commodity, cheap and ambient like electricity. But “commodity” is a statement about where value leaves. The whole game is being early to where it goes instead.
▲ Opinion & analysis · not investment adviceWhen the crude is cheap, value moves to the refinery, the trusted name on the deal, and the buyer who can only drink so much. Same shape here.
When a capability becomes abundant and free, we stop exercising it. Some of that is fine. Some of it hollows us out.
knowing which wishes are worth making — and being a person who can still tell.
Implications for Economic Power and Sovereignty
This shift suggests that sovereignty and strategic advantage will increasingly depend on physical infrastructure and human judgment rather than access to the latest AI models. Countries or regions that control manufacturing capacity for hardware, energy, and supply chains will hold enduring power, while those relying solely on AI usage may find their strategic position diminished. Understanding this dynamic is crucial for policymakers and industry leaders aiming to navigate the evolving landscape.
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Physical Infrastructure and Human Judgment as Core Assets
The idea that AI will commoditize is supported by industry trends showing rapid model development and price reductions. Historically, the value in technology sectors has shifted toward the means of production—hardware, manufacturing, and logistics—rather than the software or models themselves. Meyer notes that building large-scale AI infrastructure requires significant time and capital, creating a barrier for regions or companies that lack such resources.
Additionally, Meyer highlights that human judgment remains a key differentiator. Even with superhuman AI, the need for accountable decision-makers, trusted advisors, and responsible leadership persists, anchoring human roles as scarce and valuable assets.
"The moat was never the intelligence. The moat is the means of production."
— Thorsten Meyer

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Unclear Aspects of Future AI Value Dynamics
It remains uncertain how rapidly the physical infrastructure will evolve and whether new innovations could lower the barriers to entry. Additionally, the precise impact of AI on human roles in decision-making is still developing, with some experts questioning if new forms of automation might eventually diminish the human element further.
Further, geopolitical implications of infrastructure dominance versus AI access are still unfolding, with regional disparities potentially widening.

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Next Steps in AI Infrastructure and Human Roles
Expect continued investment in physical AI infrastructure by major economies, alongside policies aimed at securing supply chains and manufacturing capacity. Simultaneously, debates around the role of human judgment and accountability in AI-driven decision-making are likely to intensify, shaping future regulations and organizational practices.
Monitoring developments in hardware innovation, regional infrastructure build-outs, and evolving legal frameworks will be critical for understanding how the landscape will shift in the coming years.

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Key Questions
Why is physical infrastructure still so important in an AI-driven world?
Because building and maintaining the physical means of AI production—such as data centers, chips, and energy supply—remains costly and time-consuming, making it a durable source of strategic advantage.
Does AI becoming a commodity mean it will no longer be valuable?
AI will still be valuable, but the core advantage will shift from access to models to control over infrastructure and human judgment, which remain scarce and hard to replicate.
How might this shift affect national sovereignty?
Countries that control the physical means of AI production will hold greater strategic power, while those relying solely on AI usage may become more dependent on external infrastructure and supply chains.
Will human judgment become less relevant as AI advances?
While AI will automate many tasks, human judgment—particularly accountability, trust, and responsibility—remains essential and is likely to retain its value as a scarce resource.
Source: ThorstenMeyerAI.com