Andy Burnham's AI strategy sparks tech sector backlash

Andy Burnham's AI strategy sparks tech sector backlash

Andy Burnham's proposed overhaul of the UK's artificial intelligence (AI) strategy aims to shift the nation's approach away from a "US-centric model" towards greater British ownership, technological sovereignty, and robust worker protection from AI disruption1. This ambitious vision, particularly for regions like Greater Manchester, seeks to reshape the UK's digital future. However, the plan has already drawn significant criticism from parts of the tech sector, with many arguing that a more interventionist stance could deter founders and investors, potentially harming the UK's appeal in the global tech landscape.

The successful implementation of such a regionally-driven, sovereign AI strategy hinges on a critical, yet often overlooked, factor: abundant, sustainable energy infrastructure. Advanced AI, including data centres and high-performance computing, demands vast amounts of reliable and increasingly clean power. Without this foundational enabler, the UK's technological aspirations, regardless of their strategic intent, face substantial practical hurdles.

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Understanding Andy Burnham's AI strategy

Andy Burnham's team is developing a new AI and technology strategy designed to fundamentally alter the UK's engagement with artificial intelligence. The proposals signal a departure from previous approaches, with a clear focus on national interests and social impact.

Core objectives: sovereignty, ownership, and worker protection

At the heart of Burnham's strategy are three interconnected objectives: fostering greater British ownership of AI technologies, enhancing tech sovereignty, and safeguarding workers from the disruptive potential of AI. The emphasis on British ownership aims to ensure that the economic benefits and control of AI development remain within the UK, rather than flowing primarily to foreign entities. Tech sovereignty, a concept gaining traction in policy debates, refers to a nation's ability to make independent, informed choices about its digital future, ensuring access to critical inputs and meeting national security objectives. This includes limiting foreign ownership of AI data centres and ensuring accountability.

The strategy also prioritises worker protection, acknowledging the potential for AI to displace jobs. This involves ensuring AI "works for workers" through potential policy interventions such as retraining programmes, social safety nets, or regulatory measures to balance innovation with workforce protection.

Moving beyond a "US-centric approach"

A central tenet of the proposed strategy is to move away from what Burnham's advisers perceive as an "overly US-centric approach" to AI development. Critics of the current government's strategy suggest it has amounted to "unfettered tech boosterism" that has not delivered meaningful benefits for British workers or voters. This shift implies a re-evaluation of policies, potentially including those related to AI Growth Zones and the rollout of autonomous vehicles. The aim is to ensure AI technology serves British companies and the UK public, rather than primarily benefiting US tech giants.

The role of greater Manchester in regional AI development

Burnham's political philosophy, rooted in devolution and public services, suggests a future where technology is viewed through the lens of local outcomes and regional renewal. For Greater Manchester, this could mean a focus on how AI directly benefits local communities, creates jobs, and strengthens regional economies. The assets driving the digital economy, such as data centres and AI compute, are intensely physical and depend on local factors like land, power, and planning, as well as skills and local consent. This approach seeks to decentralise AI development, challenging the current concentration of AI investment, which sees a significant majority of funding going to London.

Tech sector concerns and criticisms

Despite the stated aims of British ownership and worker protection, Burnham's proposed AI strategy has met with considerable apprehension from the UK tech sector. Critics fear that a more interventionist stance could inadvertently stifle the very innovation it seeks to nurture.

Fears of an interventionist stance and its impact on investment

The tech sector has voiced concerns that an interventionist approach could damage the UK's appeal to founders and investors. The argument is that excessive regulation or a perceived anti-tech sentiment could drive investment and talent away, hindering the growth of the British tech ecosystem. This perspective suggests that while domestic capabilities are admirable, the UK needs to attract significant investment and expertise to develop AI technology, much of which currently resides in the US and China.

Challenges for founders and investors in the UK

Founders in the UK tech space have highlighted existing difficulties in navigating the regulatory landscape. Barney Hussey-Yeo, founder of Cleo, pointed out the challenges faced by companies working on advanced technologies like autonomous vehicles.

"Not sure if Burnham's team talked to Wayve, but I doubt they'd agree the UK has been in a 'headlong pursuit of driverless cars in London'. They'd instead find it's been insanely difficult to work with the British state and the regulators, even with champions in the cabinet." — Barney Hussey-Yeo, founder of Cleo

Hussey-Yeo further questioned the economic implications of an anti-tech stance, asking, "If Burnham and his team are going to be anti-tech then they need to coherently answer where growth is going from and how we reverse the decline. Because right now, why would any founder start or stay in the UK?". This sentiment underscores a broader worry that a sceptical approach to technology could undermine the UK's competitiveness.

Regulatory hurdles and the pace of innovation

The tech sector also expresses concern that a focus on "perceived fringe victims or groups" over broader economic benefits could lead to regulatory hurdles that slow innovation. Sam Hogg of the Oxford China Policy Lab suggested that Westminster sometimes prioritises specific groups, even if it means the majority suffer as a result.

"There is this strange thing that consumes Westminster: a sense of perverted 'fairness'. Rather than ever asking who this is fairest for in terms of the size of the majority, the default is to find perceived fringe victims or groups and ask for 'fairness' on their behalf, even if the majority suffer as a result." — Sam Hogg, Head of Policy Engagement at the Oxford China Policy Lab

This perspective suggests that a balanced approach is needed, one that considers the wider economic opportunities presented by AI alongside its potential social impacts.

The energy imperative for UK AI development

The ambition to develop a sovereign and regionally distributed AI capability in the UK, as envisioned by Andy Burnham, faces a fundamental challenge: the immense energy demands of Advanced AI infrastructure.

Powering data centres and high-performance computing

Advanced AI systems, particularly the data centres and high-performance computing (HPC) facilities that underpin them, are extraordinarily energy-intensive. Training a single large AI model can consume as much energy as 100 homes in a year. The UK's AI data centre capacity is projected to rise significantly, with some forecasts suggesting it could reach 3.3–6.3 GW by 2030, representing a fourfold increase in electricity consumption from current levels. Data centres already consume a substantial portion of electricity in the UK, estimated at 6%. The International Energy Agency (IEA) projects that global data centre electricity demand will double by 2030, with AI-focused sites potentially tripling their demand. This rapid growth places immense pressure on existing energy grids and raises concerns about the UK's ability to meet this demand sustainably.

The UK government has recognised this challenge, launching AI Growth Zones to accelerate the deployment of large-scale AI and data centre infrastructure by prioritising planning, grid access, and investment coordination. These zones aim to unlock investment in AI-enabled data centres by improving access to power and providing planning support, reflecting broader government efforts to overhaul planning rules for infrastructure. Sites within these zones must demonstrate access to at least 100 MW of power capacity by 2030.

Abundant energy as an enabler of regional tech growth

For regional AI ambitions, such as those for Greater Manchester, to truly flourish, a reliable and abundant supply of energy is not merely a utility but a foundational enabler. Energy should not be a limiting factor for technological innovation. When energy is abundant and sustainable, it removes a major constraint for regional tech investment, attracting talent and supporting the creation of high-value jobs. This aligns with a vision where energy is "power to play with," allowing regions to build, innovate, and make progress without the constant worry of energy scarcity.

The current energy landscape, however, presents challenges. Grid connection delays and infrastructure constraints are limiting the pace at which data centre capacity can be added. In some areas, rapid data centre expansion has already led to saturated electricity networks and delays for other developments, including housing. This highlights the need for a strategic approach to energy provision that supports, rather than hinders, regional tech growth.

AI's role in optimising future energy systems

Ironically, the very technology driving this increased energy demand - AI - also holds the potential to revolutionise energy systems. AI can be leveraged to build more efficient, resilient, and sustainable energy grids. By optimising energy generation, distribution, and consumption, AI can help manage the complex demands of a modern grid, integrate more renewable sources, and reduce waste. This symbiotic relationship means that the technology Burnham champions can also secure the energy future his strategy requires. For instance, AI can help predict energy demand more accurately, manage distributed energy resources, and identify inefficiencies in the grid, contributing to a more robust and sustainable energy infrastructure.

Broader implications for the UK digital economy

Andy Burnham's proposed AI strategy carries significant implications for the broader UK digital economy, touching upon economic growth, ethical considerations, and the future of regulation.

Balancing economic growth and ethical AI

The strategy's emphasis on worker protection and social impact suggests a desire to balance rapid economic growth with ethical AI development. While the UK aims to be an "AI maker, not an AI taker", ensuring that this growth is inclusive and does not leave segments of the workforce behind is a key challenge. Public fears about job losses due to automation are intensifying, particularly concerning the vulnerability of young people. This necessitates a framework that supports retraining programmes and social safety nets, ensuring that the benefits of AI are widely shared.

Fostering a sustainable UK startup ecosystem

The tech sector's concerns about an interventionist stance highlight the delicate balance required to foster a thriving startup ecosystem. While the UK has a strong track record in AI, being home to companies like Google DeepMind and having a high number of "unicorn" businesses, maintaining this position requires an environment that attracts, rather than deters, investment. Policies that promote British ownership and tech sovereignty must be carefully crafted to avoid creating barriers for founders and investors who are crucial for innovation and growth. The ability to secure reliable, high-volume electricity supply, for example, is a critical factor for attracting investment in data centres and AI infrastructure.

The future of AI regulation in the UK

The debate surrounding Burnham's strategy underscores the ongoing discussion about the appropriate level of state intervention in emerging technologies. The UK government does not currently have an overarching policy on digital sovereignty, though it has set out approaches to building "sovereign capability" in key technologies. Burnham's vision suggests a more proactive regulatory environment, potentially giving bodies like the Competition and Markets Authority greater power to address market concentration in digital markets. The future of AI regulation in the UK will likely involve navigating the complexities of promoting innovation, protecting workers, and ensuring national security, all while addressing the foundational infrastructure needs like energy.

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References

  1. Sifted. Andy Burnham's plan to overhaul AI strategy sparks backlash
Published on 4 Jul 2026

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For the avoidance of doubt, this article is provided for informational purposes only and is not intended to constitute legal or financial advice. The author and/or Fuse Energy shall not be responsible for any losses arising out of any reliance on the information contained herein.