Insights from our latest Talks thought leadership session session highlighted a number of challenges shaping the future of artificial intelligence, digital infrastructure and advanced compute.
While often framed as a question of AI vs quantum, the discussion made clear that the real issue is not competition between technologies, but how they are adopted, integrated and understood.
AI is an adoption challenge
Despite rapid progress and constant visibility, AI remains underutilised across many organisations. The key barrier is not technological capability, but adoption - including governance, data maturity and organisational readiness.
Without these in place, AI risks adding complexity rather than reducing it. When applied effectively, however, it enables better decision-making, creativity and productivity. This distinction is critical in understanding how demand for AI will evolve.
Infrastructure is shaping what’s possible
As AI adoption accelerates, demand for compute is increasing rapidly - placing growing pressure on global power, planning and energy systems.
Constraints around grid capacity, power availability and cooling are already influencing what can be delivered, where and at what pace. Infrastructure is no longer just an enabler of digital growth; it is a defining constraint.
Quantum as a complementary technology
Quantum computing is often positioned as a future solution, but its role is likely to be more targeted.
Rather than replacing AI or conventional compute, quantum technologies are expected to complement existing systems, offering value in areas such as optimisation, simulation and complex scientific modelling. The future of compute is therefore not a choice between technologies, but a combination of them.
Bridging infrastructure and real-world impact
A recurring theme was the disconnect between digital infrastructure and the outcomes it enables.
Examples such as the use of AI in healthcare - improving diagnosis and enabling more personalised treatments - demonstrate the tangible value of advanced compute. When framed around real-world impact, the role of infrastructure becomes clearer and easier to justify.
A growing perception and legitimacy challenge
While underpinning almost every aspect of modern life, Data Centres are often perceived as energy-intensive, opaque and disconnected from local benefit.
This reflects a broader challenge: the sector lacks a clear and visible civic identity. In planning and community engagement, this can translate into concerns around energy use, land and perceived imbalance between local cost and global value.
Addressing this requires clearer communication of outcomes, greater transparency, and a stronger connection between infrastructure and the societal benefits it enables.
The future is orchestrated
One of the clearest insights is that the future of compute will not be defined by a single technology.
Instead, it will be shaped by an orchestrated landscape, where AI, high-performance computing and quantum technologies are applied together, each where they are most effective. This has significant implications for how data centres are designed, powered and operated - and how the industry thinks about the future of compute.
“The future of compute won’t be defined by a single technology, but by how effectively we orchestrate them together.”
Ultimately, the challenge facing advanced compute is not only technical, but also social, political and perceptual. For these technologies to deliver meaningful value, the infrastructure that supports them must not only perform - it must also be understood, trusted and seen as essential.
