Coming from an electrical background working on the UK grid I genuinely think the AGI conversation ignores the single most important constraint of all which is power. AGI talk seems disconnected from physical reality. People talk about it almost entirely as a software problem as if once models become intelligent enough the rest somehow falls into place automatically. But the more I look into modern AI infra the more it feels impossible in our lifetime. The bottleneck is electricity, cooling, heat dissipation and the sheer physical infrastructure required to sustain these systems continuously at scale. For perspective the average UK household uses around 2700kWh of electricity per year. A single modern NVIDIA GB200 AI rack already pulls roughly 120kW continuously. Run that rack for a full year and you end up at just over 1,050,000kWh annually. One single AI rack already consumes roughly the same amount of electricity as 389 average UK homes before you even account for cooling overhead. Now imagine what actual AGI would look like: Not a chatbot or a research demo, a globally deployed intelligence layer powering BILLIONS of users simultaneously w/ agents, robotics, defence systems, healthcare infra, scientific simulation, finance, and real time decision making across entire economies. If such a system eventually required something in the region of one million high end accelerators running continuously, and modern H100 class GPUs already pull around 700W each under load, then the GPU layer alone would sit around 700MW of continuous power draw?! Once you include networking, storage, memory, substations, transformers, chillers, pumps, cooling towers and power conversion losses, the actual infrastructure demand could realistically land somewhere around 2GW continuously. Run 2GW permanently for a year and you arrive at roughly 17.5TWh annually. That is approximately the same yearly electricity consumption as 6.5 million UK homes. That’s not even a fully mature civilisation scale AGI network its simply a serious early deployment. This is the part I genuinely do not think people mentally process properly when they talk about AGI scaling. If AGI infrastructure eventually approached something closer to 100GW continuous globally, you are suddenly talking about roughly 876TWh annually, which is close to the ENTIRE YEARLY ELECTRICITY CONSUMPTION OF JAPAN. Think about what that actually means physically for a second. We are not talking about peak demand for a few hours on a hot day or temporary industrial spikes. We are talking about pulling the equivalent of an entire major industrialised nation’s yearly electricity consumption continuously, every second of every day, permanently, purely to sustain one layer of computational infrastructure. Japan has over 120 million people, one of the largest industrial economies on Earth, huge transportation systems, manufacturing, rail networks, lighting, heating, cooling, telecoms infrastructure, hospitals, ports, residential consumption, commercial districts and entire cities operating simultaneously. Now imagine taking all of that yearly electrical demand and redirecting it purely into computation. And then remember that almost every joule of electricity used for computation eventually becomes heat. That is the bit people keep abstracting away because software discussions remove everything physical from the conversation. A large scale AGI system is not just “doing maths” its an enormous industrial heat engine operating continuously. Cooling does not remove heat from existence. Cooling simply transfers it somewhere else. You cool the chip, then the rack, then the room, then the water loop, then the cooling tower, and eventually all of that energy is dumped back into the surrounding environment somewhere else. Current discourse treats scaling as though it exists independently from physics but physics is precisely the issue. Modern air cooling already struggles once rack densities exceed around 30 to 40kW and modern AI racks are now pushing beyond 100kW. That is why the industry is already moving aggressively towards liquid cooling, immersion cooling, chilled water systems and industrial scale heat exchangers. Even these approaches are not solving the underlying thermodynamic problem. They are simply allowing higher density before the next bottleneck appears. It’s not happening in our lifetime in my opinion… submitted by /u/MediumLibrarian7100
Originally posted by u/MediumLibrarian7100 on r/ArtificialInteligence
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