First-ever UKRI AI strategy: £1.6bn to turn UK science into better healthcare, cleaner energy and smarter public services

UKRI unveils its first £1.6bn AI plan to turn research into results across healthcare, energy and public services. Early funding targets drug discovery and the DAWN supercomputer.

Published on: Feb 20, 2026
First-ever UKRI AI strategy: £1.6bn to turn UK science into better healthcare, cleaner energy and smarter public services

UKRI's First AI Strategy: Turning Research Strengths into Real-World Results

The UK's largest public research funder has set out a clear AI plan to deliver practical outcomes across healthcare, energy, and public services. Backed by a record £1.6 billion targeted at the AI sector through 2030, the strategy focuses on faster scientific discovery, stronger skills, and scaling innovation into the economy.

The message is simple: build on deep UK strengths in mathematics, computer science, and engineering, give researchers and businesses the right tools and infrastructure, and move outcomes from labs to clinics, grids, and front-line services.

Six Priority Areas

  • Advancing AI technologies
  • Applying AI to accelerate research
  • Developing AI skills and talent
  • Speeding up innovation for economic and social value
  • Championing responsible and trustworthy AI
  • Building world-class data and compute infrastructure

What's Funded

UKRI's plan commits significant support for doctoral and fellowship routes co-designed with industry, along with recognised career pathways for research software engineers, data scientists, and ethics specialists. Expect stronger regional clusters, high-growth ventures, and pathways that connect fundamental research to prototypes and scale-up.

Two early investments under the strategy:

  • Up to £137 million for AI for Science, starting with drug discovery and new treatments.
  • £36 million to upgrade the University of Cambridge's DAWN supercomputer for breakthroughs in healthcare and environmental modelling.

Proven Impact Already in Motion

  • Rail safety: RADAR detects overhead line faults in real time and prevents damage-now used across UK networks and drawing international interest.
  • Online safety: Nisien.ai's Hero Detect classifies online harms in real time, helping communities stay safe without heavy-handed censorship.
  • Policy and regulation: AHRC BRAID fellows are embedded in key departments and regulators (DSIT, DCMS, Ofcom, DRCF) to support policy on AI safety, IP, and public trust.
  • Early diagnosis: The IXI Brain Atlas identifies 150+ brain structures with high precision and is already used in 10,000+ patient visits across 40+ clinical trials for Alzheimer's and related diseases.

Why This Matters for Your Organisation

  • Government and public services: New AI capacity to reduce backlogs, improve decision support, and modernise service delivery-grounded in safety and accountability.
  • Healthcare leaders and clinicians: Faster imaging analysis, earlier disease detection, and a pipeline of AI-enabled treatments-paired with clinical-grade data governance.
  • Universities and research institutes: Clear support from discovery to deployment, simplified programmes, and access to compute and data at scale.
  • Founders and industry: Stronger routes to co-develop prototypes, run trials with real datasets, and scale products into regulated markets.

How to Engage Now

  • Align proposals to the six priorities, especially projects that connect fundamental science to deployable prototypes.
  • Prepare data: document provenance, quality, and access controls to speed up approvals and translation.
  • Embed assurance: publish model cards, risk registers, and evaluation plans early to build trust.
  • Co-design with users: involve clinicians, regulators, and front-line teams from day one to increase adoption.
  • Plan for skills: budget for MLOps, safety, and evaluation roles-not just model development.
  • Leverage compute: use shared research infrastructure and plan for scaling costs from pilot to production.

The UK has a long track record in AI research-from early computing pioneers to today's institutes and labs. For context on current national research activity, see The Alan Turing Institute.

Further reading and resources

Notes

  • The AI for Science investment (up to £137 million) was previously announced as part of DSIT's AI for Science Strategy (Nov 2025) and will be delivered through this new UKRI framework.
  • The DAWN supercomputer upgrade (£36 million) was announced in Jan 2026 and is included under the strategy's infrastructure commitments.
  • UKRI will streamline programmes to support the full journey from curiosity-driven research to prototypes and scale-up.

Media enquiries

DSIT media enquiries

Email: press@dsit.gov.uk
Monday to Friday, 8:30am to 6pm
020 7215 3000


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