AI in the Energy System: data, risk, and real-world deployment

On this episode of the Hypercube Energy Podcast, Adam Sroka speaks with Stephen Haben, Senior AI Consultant at Energy Systems Catapult, about where AI and data are genuinely useful in the energy sector — and what still needs to change for them to scale safely in a system that is becoming more complex and decentralised.

Stephen shares his journey from academic research in forecasting and low-voltage networks into applied AI and digital advisory work across the energy system. He explains why many of the biggest barriers to AI adoption are not technical, but relate to data quality, integration, skills, and the realities of operating safety-critical infrastructure. The conversation explores the Catapult’s role in supporting innovators, networks, and policymakers, and why strong digital foundations are essential before advanced AI can deliver value.

Adam and Stephen cover:

• Stephen’s path from academic forecasting research into sector-wide AI advisory
• Why AI in energy often fails without strong data and digital foundations
• Common pitfalls in forecasting and why simple models still matter
• How EVs, heat pumps, and flexibility are reshaping distribution networks
• The role of Smart Energy Data Services in enabling innovation
• Synthetic data, privacy, and responsible data sharing
• What it takes to move AI from pilots into real-world energy operations