Can Algorithms Unlock Europe’s Carbon Capture Future?

As CCUS projects scale beyond pilots, AI and data tools are being explored to improve efficiency, reduce risk, and support Europe’s climate goals

7 Jan 2026

Artificial intelligence is becoming a growing focus within Europe’s carbon capture, utilisation and storage sector as projects move from pilot stages towards commercial scale. Developers and policymakers see data and digital tools as a way to address long-standing problems of high costs, operational complexity and risk, while supporting the region’s climate targets.

Across the continent, CCUS operators are testing AI-driven systems to manage capture plants more efficiently. By analysing large volumes of operational data, these tools are designed to optimise processes and reduce energy use, which remains the largest cost in most capture facilities. Evidence so far is limited to modelling, simulations and early deployments, but proponents argue that small efficiency gains could materially improve economics as projects expand.

The interest in digital optimisation sits alongside Europe’s efforts to build shared carbon transport and storage networks, particularly around the North Sea. Advanced data analysis is being used to improve understanding of subsurface behaviour and long-term storage performance, an area of close scrutiny for regulators and host communities. AI-supported monitoring systems could help detect potential problems earlier and provide clearer evidence of safe storage over decades.

Rather than large corporate deals, progress is largely being driven by targeted partnerships between energy groups, engineering firms and technology providers. Several major energy companies have highlighted the role digital systems could play as CCUS facilities become larger and more interconnected.

Analysts say this reflects a broader shift in how the sector is viewed. Physical infrastructure remains central, but data, modelling and digital optimisation are increasingly embedded in project design. AI is also being explored in materials research, where it could speed up the development of more effective capture solvents and sorbents.

Obstacles remain significant. Many industrial sites still operate legacy systems that are hard to integrate with modern digital platforms, while shortages of data and digital engineering skills persist. Regulators are also assessing how AI-supported operations fit within existing safety, reporting and verification rules.

Even so, the direction of travel is clear. As Europe seeks to scale up carbon management, AI and digital innovation are emerging as potential enablers. If current trials translate into reliable performance gains, data-driven approaches are likely to shape the next phase of Europe’s CCUS development.