▶️ Core problem of AI infrastructure: The stranded asset risk – Those who rely on outdated structures today will pay the price tomorrow
Why SMR as a solution for AI gigafactories is risky and poses stranded asset risks. | The debate masks high construction costs, long implementation times, and hidden subsidies. | Historical cost explosions show that nuclear projects massively exceed their budgets and timelines. | Decentralized AI infrastructure (edge and local data centers) can be scaled more flexibly, cost-effectively, and quickly. | Advances in sodium-ion and solid-state batteries are making solar-powered, modular solutions economically attractive. | EU funding mechanisms favor centralized gigafactories and distort investment incentives. | Technological change (more efficient models, new chips) increases the stranding risk for long-term nuclear investments. | Decentralized approaches enable heat recovery, lower bandwidth requirements, and better resource efficiency. | Transparency deficits and lobbying influence lead to politically driven, rather than economically optimal, decisions. Conclusion: Modularity, transparency, and option-preserving investments are the more sustainable path for AI infrastructure. [...]
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