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GOV.UK founder warns AI gold rush could leave Britain locked in

Mike Bracken says the dash to adopt sovereign AI risks giving more control to a handful of tech suppliers

GOV.UK founder warns AI gold rush could leave Britain locked in

Mike Bracken, founder of GOV.UK, cautions that the rush to develop AI domestically could lead to Britain becoming overly reliant on a few AI providers, potentially locking the country into a position of diminished control. Bracken, who established the Government Digital Service (GDS) and served as the UK's inaugural Government Chief Data Officer, argues that governments gradually cede control over crucial systems through incremental technology decisions.

He cautions that losing control doesn't happen suddenly in a crisis, but rather through a series of seemingly reasonable choices. Bracken stresses that the real issue isn't the ownership of technology, but whether an organization can still make its own decisions when faced with changing circumstances. This concern is not limited to government entities; businesses, universities, and charities also face similar challenges as they outsource more of their operations to AI services.

In his book "Digital Sovereignty: The Power to Decide," Bracken argues that simply having AI infrastructure within national borders doesn't equate to meaningful control, but rather hinges on an entity's ability to switch suppliers, technologies, or strategies without encountering prohibitive difficulties. He emphasizes that questions surrounding AI, critical infrastructure, national resilience, economic competitiveness, and state capacity all revolve around whether institutions maintain the autonomy to make decisions and act, or become constrained by systems and suppliers beyond their control.

Bracken underscores that while technology expands an organization's freedom to act, it can also quietly restrict it. He concludes that claiming AI independence doesn't matter if one remains dependent on the same suppliers.

Written by urgent.news from The Register's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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