Beyond the Silos: Why the UK's 2035 Economic Ambitions Require an Open Infrastructure

techUK's case, written with input from Red Hat, is that the choices the UK makes about digital infrastructure architecture right now will determine economic resilience through 2035, and the risk it's most worried about isn't underinvestment, it's "platform sprawl": a UK built on isolated, incompatible platforms that can't talk to each other, each one needing its own separate skills and expertise to run.

The scale of what's at stake is real: the digital infrastructure sector is projected to deliver an estimated £44 billion in economic impact by 2035, and the UK Government has already designated data centres as Critical National Infrastructure, a formal recognition of how central this has become. The Ministry of Defence is centralising its Red Hat platform access specifically to support cloud-native and AI capability across departments, a concrete example of the standardisation argument in practice rather than theory.

The technical case for open, standardised architecture (specifically open hybrid cloud, rather than proprietary platforms locked to one vendor) rests on a genuinely practical number: enterprise container platforms can cut application development time by up to 70% when teams aren't rebuilding the same capability across incompatible systems. Beyond speed, standardisation means skills become portable: an engineer trained on an open architecture can move between a local data centre, public cloud and network edge deployment without retraining from scratch each time, which matters enormously for a sector already short of skilled people.

The AI angle sharpens this further. Over 80% of UK organisations see AI as vital to future competitiveness, and 89% of UK IT decision-makers agree that public policy should actively mandate open-source principles for sovereign AI specifically, not just infrastructure generally. Open source, in this argument, isn't primarily about cost, it's about transparency and auditability: an AI system built on open, inspectable components is easier to trust and easier to verify than one running on a closed proprietary stack, and that transparency matters more as AI moves into higher-stakes public sector decisions.

The practical upside for the public sector specifically is reuse: an open architecture lets one government department's blueprint for a service be shared and adapted by another, rather than every department commissioning its own bespoke build, illustrated by the GOV.UK Reuse Library's approach to shared AI search capability. For anyone building a career in cloud, infrastructure or platform engineering, the underlying message is a genuinely useful one: the more the industry moves toward open standards, the more your skills stay valuable across employers rather than becoming locked to one vendor's proprietary ecosystem.