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The UK’s AI Action Plan: 50 Steps Towards a Smarter Future

Writer's picture: Sherin MathewSherin Mathew

Keir Starmer, Prime Minister of the UK, waving his hand dramatically with a placard that says 'Plan for Change'

The UK government’s AI Action Plan is a bold move to solidify the country’s position as a global leader in artificial intelligence. With our 50 action points, the plan covers everything from developing AI infrastructure and unlocking the power of data to cultivating homegrown AI talent. It’s an ambitious roadmap designed to make the UK a world leader in AI, benefiting businesses, public services, and society at large. 

Here’s a breakdown of the UK’s AI Action Plan with key insights and how it aligns with the work we’re doing at AI Tech UK.


1. Enabling AI Foundations


A- Building Sufficient, Secure, and Sustainable AI Infrastructure


1- Develop a National AI Infrastructure to scale capabilities through academia and industry collaboration.

2- Expand the AI Research Resource (AIRR) cluster by 20x by 2030 to maintain competitiveness without vendor lock-ins.

3- Provide Sovereign Compute Access for high-priority national projects.

4- Establish AI Growth Zones (AIGZs) with clean energy-powered AI data centers to meet demand sustainably.

5- Mitigate risks associated with AI infrastructure security and sustainability with innovative solutions.

6- Build global partnerships to access advanced computing and foster international collaboration.


B- Unlocking the Power of UK Data Assets


7- Launch a National Data Library (NDL) featuring high-quality public datasets for innovation.

8- Focus on strategic data collection in key sectors like healthcare.

9- Publish guidelines for best practices in data sharing for government datasets.

10- Offer an enhanced data access package to attract global AI talent.

11- Invest in robust data infrastructure for collecting and sharing public-sector data.

12- Incentivize private sector data sharing through rewards and funding.

13- Create a copyright-cleared British Media Dataset for AI research.


C- Developing the Next Generation of AI Talent


14- Address the AI skills gap with a proactive talent pipeline strategy.

15- Support universities in offering industry-aligned AI programs.

16- Promote diversity in AI, engaging underrepresented groups through events and initiatives.

17- Introduce apprenticeships and alternative routes for AI careers.

18- Launch flagship AI scholarship programs for UK and international students.

19- Develop lifelong learning programs for workers to reskill into AI roles.

20- Build internal headhunting capabilities to attract global AI talent.

21- Simplify visa policies for top AI graduates.

22- Expand funding for Turing AI programs to support research excellence.


D- Safe and Trusted AI Development


23- Strengthen the AI Safety Institute (AISI) to lead in safety research and resilience.

24- Reform intellectual property rules to foster AI innovation while aligning with global standards.

25- Implement sector-specific regulations with adequate funding for AI oversight.

26- Ensure impact-driven and inclusive AI adoption across sectors.

27- Establish regulatory sandboxes for emerging technologies like drones and robotics.

28- Mandate transparency and reporting from regulators on AI initiatives.

29- Invest in AI assurance tools to validate system performance.

30- Leverage institutions like the Alan Turing Institute for cutting-edge research and global talent attraction.


2. Changing Lives Through the AI Action Plan


A- Scan (Understanding AI Capabilities and Opportunities)


31- Assign AI leads for each government mission to address challenges.

32- Build a cross-government AI scanning team to monitor advancements.

33- Develop partnerships with AI startups and vendors to align with public needs.


B- Pilot (Testing and Evaluating AI Solutions)


34- Decide to build, buy, or innovate AI solutions, prioritizing open-source models.

35- Create rapid prototyping capabilities for testing new AI solutions.

36- Streamline hiring processes for AI talent, offering competitive pay.

37- Provide a data-rich environment with easy access to datasets and tools.

38- Simplify procurement processes with fast-track funding for AI pilots.


C- Scale (Expanding Successful Pilots)


39- Fund proven AI pilots for national implementation.

40- Launch mission-specific AI tenders for critical sectors like healthcare.

41- Develop a scalable AI tech stack for broad public applications.

42- Standardize AI tools and frameworks for scalability and interoperability.


3. Securing the Future with Homegrown AI


A- Creating National AI Champions


43- Implement smarter AI procurement with clear performance standards.

44- Build API-driven digital infrastructure to automate public services.

45- Establish a central AI Knowledge Hub for guidance, tools, and best practices.

46- Identify quick wins to enhance public-private collaboration in AI.


B- Addressing Private-Sector Adoption Barriers


47- Drive AI adoption through a new Industrial Strategy, addressing regulatory and skills gaps.

48- Appoint AI Sector Champions to create industry-specific adoption plans.

49- Promote nationwide AI adoption, with a focus on SME challenges.


C- Sovereign AI Unit


50- Create a UK Sovereign AI Unit to support, fund, and scale frontier AI companies, ensuring the UK becomes an AI maker, not just a taker.



As we move forward into the age of AI, the UK’s AI Action Plan offers a roadmap that could redefine industries, improve public services, and unlock untapped potential across the country. Whether you’re a business leader, policymaker, or tech enthusiast, this plan sets the stage for an exciting and transformative future.


We hope this breakdown has made it a little easier to understand the massive opportunities and responsibilities ahead. 


If you need any help navigating this new plan better, contact us at success@ai-tech.uk and we'll be happy to help!

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