Summary:
1. Project-based delivery models will be crucial for new builds and upgrades in 2026 due to the rapid evolution of the data centre industry driven by AI demand.
2. Flexible labour models, diversity initiatives, and regional growth zones will reshape the data centre landscape by 2026.
3. Retrofitting legacy data centres will be a key focus in 2026 to meet the increasing AI demand and ensure long-term adaptability.
Article:
In the fast-paced world of data centres, the year 2026 is set to bring about significant changes and challenges. Claire Keelan, Managing Director UK at Onnec, highlights the shift towards project-based delivery models as the backbone of new builds and upgrades. The traditional staffing methods are struggling to keep up with the pace and complexity of AI-led demand, making adaptability and innovation key priorities for operators.
As AI workloads continue to accelerate, data centre operators are facing mounting pressure to scale capacity while dealing with skills shortages, infrastructure limitations, and heightened expectations for resilience. What may have worked in the past is no longer sufficient, prompting the industry to rethink its delivery models, workforce strategies, and site design assumptions.
One of the major transformations expected in 2026 is the reliance on flexible labour models to support new data centre projects. Traditional staffing is unable to scale at the speed required by AI demands, leading to the rise of flexible, crowdsourced, project-based teams filling crucial gaps in design, construction, and operations. This shift emphasizes the redeployment of expertise rather than its replacement, with clear standards and frameworks ensuring high-quality outcomes at scale.
Moreover, the industry is poised to prioritize diversity as a strategic imperative rather than a social goal in 2026. With women accounting for less than 8% of the current data centre workforce, targeted recruitment, retraining programs, and mentorship networks will aim to bring more women into engineering, safety, and leadership roles. Diversity will be recognized as a business resilience issue, essential for leveraging the full potential of the workforce to meet AI demands effectively.
Regional ‘AI growth zones’ are expected to emerge as new capacity hubs in 2026, with locations like Manchester, South Wales, and Scotland gaining momentum due to factors such as lower land costs, renewable energy access, and academic partnerships. This regional diversification will enhance power balance and resilience against local constraints, signaling a shift towards a distributed and collaborative data centre landscape.
In response to the pressing need for upgraded infrastructure, operators will focus on retrofitting legacy data centres in 2026 to meet the surging AI demand. While power and cooling present complex challenges, cabling and network capacity are identified as critical bottlenecks. Operators will invest in high-grade structured systems early on to support modular expansion and long-term flexibility, setting a new standard for responsible and future-proof design.
Looking ahead to 2026, the data centre sector will be defined by its ability to evolve intelligently in the face of rapid AI-driven changes. Operators that embrace this structural reset and prioritize adaptability over simple scaling challenges will lead the industry. As data centres become vital national infrastructure for an AI-driven economy, resilience will be as crucial as performance, shaping the future of the sector. The question in 2026 is not who can grow the fastest, but who can keep up with the evolving rules of the game.
