Britain is trying to escape the Palantir problem by building a British version of the same problem.
The government wants to spend £100m backing homegrown AI firms and embedding them across healthcare, defence and public services under the banner of “sovereign AI”.
There is one huge problem sitting underneath that ambition: energy.
AI needs compute, compute needs huge volumes of electricity and Britain has some of the highest industrial electricity prices in the developed world.
Building a sovereign AI ecosystem becomes much harder when the basic economics push compute towards cheaper infrastructure elsewhere.
That creates a scenario where British AI companies win government contracts but still rely on foreign hyperscalers, overseas data centres and external infrastructure to run the systems.
The lock-in problem does not disappear. Once AI becomes embedded across the NHS, defence and public services, those systems can become difficult to audit, difficult to replace and increasingly powerful in influencing institutional decisions.
A British supplier can still become indispensable. A British model can still be opaque. A British system can still become too embedded to challenge.
Britain wants sovereign AI, while the economics of energy make sovereign compute difficult and the rush to embed AI risks creating a new generation of dependency.
The country could rebuild the same problem with a Union Jack on it.
Read the full article:
https://www.ft.com/content/5a10fc78-9a3e-4f12-81e3-dc843b529948?syn-25a6b1a6=1
Susie / Susie Violet Ward
npub1hw…503sg
2026-09-01 07:46:17 UTC
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2026-09-01 07:46:17 UTCEvent JSON
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"content": "Britain is trying to escape the Palantir problem by building a British version of the same problem.\n\nThe government wants to spend £100m backing homegrown AI firms and embedding them across healthcare, defence and public services under the banner of “sovereign AI”.\n\nThere is one huge problem sitting underneath that ambition: energy.\n\nAI needs compute, compute needs huge volumes of electricity and Britain has some of the highest industrial electricity prices in the developed world. \n\nBuilding a sovereign AI ecosystem becomes much harder when the basic economics push compute towards cheaper infrastructure elsewhere.\n\nThat creates a scenario where British AI companies win government contracts but still rely on foreign hyperscalers, overseas data centres and external infrastructure to run the systems.\n\nThe lock-in problem does not disappear. Once AI becomes embedded across the NHS, defence and public services, those systems can become difficult to audit, difficult to replace and increasingly powerful in influencing institutional decisions.\n\nA British supplier can still become indispensable. A British model can still be opaque. A British system can still become too embedded to challenge.\n\nBritain wants sovereign AI, while the economics of energy make sovereign compute difficult and the rush to embed AI risks creating a new generation of dependency.\n\nThe country could rebuild the same problem with a Union Jack on it.\n\nRead the full article:\n\nhttps://www.ft.com/content/5a10fc78-9a3e-4f12-81e3-dc843b529948?syn-25a6b1a6=1",
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