AI: The rise of the machines
Artificial intelligence (AI) data centres, which power the training and operation of AI models, are driving soaring electricity demand. This demand is expected to more than double by 2030, to around 945 TWh – equivalent to Japan’s entire current consumption. Significantly more energy-intensive than typical computing tasks, AI workloads can use nearly ten times the electricity of a standard Google search. A five-second AI-generated video clip can consume about 1 kWh.
This rapid growth is putting unprecedented strain on power systems. In regions such as the USA and parts of Europe, data centres could drive nearly half of electricity demand growth by 2030, concentrated in specific locations and stressing ageing transmission and distribution infrastructure. The surge in AI energy consumption is a clear ‘wake-up call’ for the electricity sector to scale capacity, improve efficiency and explore new low-carbon power solutions.
Why do we need AI in the UK?
Artificial intelligence offers the UK a powerful opportunity to accelerate economic growth, strengthen national security and enhance quality of life. By embracing AI, the UK can unlock new efficiencies for businesses, create higher-value jobs and deliver better public services.
Large-scale AI adoption relies on domestic data centre capacity to protect sensitive information, ensure resilience from global shocks and fully harness the benefits of AI across every region and sector.
The compelling need for a strategy
The UK Government recently published its policy paper Delivering AI Growth Zones.
The Government introduced this strategy because slow grid connections, high energy costs and complex planning processes were holding back the development of the large-scale AI data centres needed to power the UK’s future economy. The strategy is designed to remove these barriers and create clear, attractive conditions for investment and growth.
AI Growth Zones
AI Growth Zones are strategically selected areas where the UK Government intends to remove barriers to development and accelerate investment in large-scale AI data centres. It will do this by guaranteeing faster grid connections, targeted energy pricing support and streamlined planning approvals. Designed to cluster infrastructure and talent, these zones provide investors with certainty, lower operating costs and rapid routes to power, while ensuring local communities benefit through jobs, skills programmes and long-term economic growth.
The strategy, simplified
- Speed up access to power by prioritising AI Growth Zones for grid capacity, enabling developers to build their own infrastructure, and providing enhanced engineering support to cut connection times.
- Lower energy costs for data centres in strategic locations by recycling electricity system savings into targeted price discounts.
- Streamline planning decisions through updated national policy, specialised planning expertise, safeguarded land and faster consenting routes for major projects.
- Boost local benefits with investments in skills, AI adoption programmes and long-term business retention, so communities gain jobs and economic growth.
- Strengthen investment confidence through a dedicated AI Growth Zone Delivery Unit and access to public financing that helps unlock large-scale private investment.
The benefits
Taken collectively, it is hoped that these interventions will reduce the power-up timeline by up to five years and save a typical 500-MW data centre up to £80 million annually in electricity bills. This could unlock up to £100 billion of additional investment for the AI Growth Zone programme and create more than ten thousand jobs.
Renewables could have a big role
Some regions generate more electricity than the grid can transmit, which creates ‘constraint costs’. A good example is excess wind power in Scotland. Locating data centres in these areas helps use this surplus energy and reduce overall electricity system costs.
Renewables can play a key role by providing abundant, low-carbon electricity to power AI data centres, particularly in regions such as Scotland and the north of England where generation often exceeds local demand. By situating data centres near these renewable sources, the UK can harness surplus energy, reduce electricity system costs and support a cleaner, more efficient energy system while enabling large-scale AI deployment.
Could nuclear play a part?
The strategy mentions that the Government will consider whether critical national priority (CNP) status, which is already applied to low-carbon energy projects, should also be applied to data centres. This could imply that nuclear energy projects, being part of the low-carbon energy portfolio, are aligned with AI Growth Zones.
Small modular reactors (SMR) could play a key role in powering AI data centres by providing a reliable, low-carbon and high-density energy source, capable of meeting the accelerating electricity demand from these facilities. Co-locating SMRs with data centres could ensure stable, local power supply, reduce grid constraints and support the rapid, large-scale deployment of AI infrastructure – provided public trust is earned and sustained through clear communication, engagement and demonstrable safety.
About the author
Rob Ellmore is a Senior Technical Writer within Copper’s content and creative team. He is a chemistry specialist, with industrial experience from the environmental, pharmaceutical and chemical process sectors.