The Many-Body Problem of the Data Centre
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Abstract (arXiv)
Modern Artificial Intelligence is often framed as limited by its own disembodiment, as if giving it a body would unlock its true potential. We argue to the contrary that it is the Data Centre that is, in many cases, the body of the AI. At the same time, the Data Centre is part of the labouring body of Capital and possesses staggering organismic qualities when seen through a biological lens. We elucidate the organic analogy and identify the many-body problem that stems from the Data Centre being a non-unique, universal form of embodiment. We identify the intimate connection between computation and human desires in how the Data Centre archives, serves, and computes on data born to the desires of humans. Strikingly, while the Data Centre echoes the ghosts of human desires, it acts without desire of its own. The organismic analogy begins to split at its seams, but Capital does not care. Automata and human labour are priced into the market much the same. We argue that through the pricing of artificial intelligence Capital distils most clearly the value of intelligence and allows for its comparison across the organism - mechanism divide.
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References · 6
- 2025How Hungry is AI? Benchmarking Energy, Water, and Carbon Footprint of LLM Inferencecited by 76
- 2025Electricity Demand and Grid Impacts of AI Data Centers: Challenges and Prospectscited by 16
- 2026Where Do the Joules Go? Diagnosing Inference Energy Consumptioncited by 10
- 2025Towards a future space-based, highly scalable AI infrastructure system designcited by 4
- 2024Biospheric AIcited by 1
- 2025Does Capital Dream of Artificial Labour?cited by 1
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