Building smarter energy for the UK.

Posted on 23/10/25 in
Insights

The UK energy sector is at a turning point. Climate targets demand rapid carbon reductions, markets call for stronger digital capability, and customers expect services that are reliable, responsive and tailored to their needs.  

For energy, this means decarbonising, digitising and delivering value simultaneously, with each part of the system evolving in step. Meeting these goals is complex and requires focus, coordination and practical action across infrastructure, operations and people. Reaching net zero by 2050 requires more than new technology. It calls for rethinking how energy is produced, managed, and used. The shift from a traditional energy to a smart energyis demanding, but it also offers the chance to create a cleaner, more connected energy system that benefits people, businesses, and the planet. 

The role of AI in progress  

Artificial intelligence is already supporting this shift. Smart grids powered by live data can balance supply and demand with precision. The International Energy Agency projects that smart grids could cut global CO2 emissions by 9.1 gigatonnes by 2050 if deployed at scale.  

AI-driven forecasting helps providers anticipate weather impacts, peak loads and customer needs. McKinsey research shows that it can reduce procurement costs by up to 10%. AI can also analyse usage patterns, allowing providers to offer services that fit customer behaviour, something that 63% of consumers say they want (Accenture 2023).  

In the UK, where around 39 million smart meters have already been installed as of Q1 2025, there is a strong foundation for leveraging AI to improve energy efficiency and grid stability, particularly as electrification accelerates in sectors like transport and heating. The emergence of flexible markets and peer-to-peer energy trading models will further increase the need for data combined with AI-driven agility. 

Predictive maintenance adds a further, practical benefit. Deloitte reports it can reduce equipment breakdowns by up to 70% and lower maintenance costs by around 25%. For operators running networks built decades ago, this presents an opportunity to modernise without wholesale replacement. 

Across electricity and gas networks, AI is increasing system intelligence. From smart grids that dynamically balance supply and demand to AI-enhanced forecasting that improves reliability and manages costs, the applications are real and growing in impact.

Barriers to progress 

Despite these advances, significant barriers remain across systems, data and operations, limiting the full potential of AI and digital tools. Capgemini found that 72% of energy executives view legacy infrastructure as the primary barrier to digital progress. These challenges are as much cultural and organisational as they are technical.  

Fragmentation in the UK system makes this even harder. Distribution Network Operators, suppliers, and aggregators all operate with limited visibility of one another, creating missed opportunities and both local and national levels.  

The workforce challenge is no less pressing. The World Economic Forum estimates that half of the energy workforce will need reskilling by 2027. The National Grid projects 400,000 new roles will be required by 2050 to achieve net zero, many in fields that are still emerging. Without planning and investment in people, the sector risks falling behind.  

Evolving how change is delivered 

Progress depends on more than technology. It requires continuous shifts in culture and organisation, and the capability to act with confidence across teams and systems. Traditional transformation programmes, often slow, siloed, and technology-led, are no longer fit for purpose.  

A more adaptive approach is needed. Empowering teams, connecting data across the business, and embedding flexibility into the operating models is now essential. A recent BCG study found that companies using agile, cross-functional approaches were twice as likely to exceed performance expectations as those relying on traditional methods.  

In the UK, the move towards the Distribution System Operator model marks a pivotal moment. Energy providers will need to operate as digital platforms as well as infrastructure providers. Policy and regulation, such as Ofgem’s work on RIIO-ED2 and system digitalisation, provide direction, but providers themselves must build the capability and confidence to act at scale.  

Meeting these challenges requires not only capability but a clear, sector-wide approach to strategy and decision-making. 

Smarter energy providers need smarter strategies 

Becoming a smart provider is about more than deploying smart meters or installing new tools. It requires aligning digital efforts with operational priorities, embedding resilience, and fostering a culture ready for continuous change.  

With affordability, carbon reduction, and supply security all in play, decisions made today will shape the sector for decades. The opportunity is significant: a UK energy system that is cleaner, more capable, and more connected. Achieving it calls for smarter strategies and structures with leadership that inspires trust.  

Five priorities for energy 
  1. Treat data as infrastructure: Clean, connected data is essential for grid intelligence.  
  2. Design change around people: Involve employees early, especially field and operations teams.  
  3. Align transformation with net zero: Ensure digital progress drives decarbonisation.  
  4. Use AI to create customer value: Anticipate needs, personalise services, and improve retention.  
  5. Deliver change continuously: Treat transformation as a service to adapt and scale with policy and technology.  

How Alirity supports energy organisations 

We’re Alirity. A transformation partner for organisations tackling complex change.  

We help organisations in regulated sectors navigate AI transformation with confidence  

We understand the scale of the challenge facing the UK energy sector. We also see the opportunity. By working in partnership, we help organisations respond to digital and AI-driven pressures without losing sight of people, purpose or performance.  

Want to explore what this could mean for your organisation? Get in touch with Charles Symonds  

You can also try the Alirity AI Readiness Assessment (AAIR), a free platform that helps organisations benchmark their current position towards AI adoption and focus effort where it matters most. 


FAQs 

Q: What does building smarter energy for the UK mean?
A: It means creating a cleaner, more connected energy system that reduces carbon, uses digital tools, and delivers reliable and tailored services for customers. 

Q: Why does the UK energy sector need to change?
A: The UK needs to reduce carbon emissions to reach net zero by 2050, improve digital capability, and meet customer expectations for reliable and personalised energy services. 

Q: How is AI helping the energy transition?
A: AI helps balance supply and demand, forecast weather and peak loads, predict maintenance needs, and analyse energy use to offer services that match customer behaviour. 

Q: What is the role of smart grids?
A: Smart grids use live data to manage energy flows more efficiently. They improve reliability, reduce costs, and support carbon reduction. 

Q: What are the main barriers to progress in the energy sector?
A: Legacy infrastructure, fragmented systems, and workforce challenges limit the full potential of AI and digital tools in the UK energy sector. 

Q: How should change be delivered in the energy sector?
A: Change requires adaptive, cross-functional approaches, connecting data across teams, empowering employees, and aligning digital efforts with operational priorities and net zero goals. 

Q: What are the priorities for UK energy?
A: Energy organisations should treat data as infrastructure, involve employees in change, align digital progress with decarbonisation, use AI to create customer value, and deliver transformation continuously. 

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