The government has launched a more than £200m package to accelerate AI adoption across British companies, tying technology deployment to worker skills, trade union engagement, and productivity growth.
Announced at the first AI Adoption Summit on 8 June, the programme brings together major technology companies, industry leaders, and trade unions as ministers try to increase the pace and depth of AI use across the economy. The government said its aim is for the UK to become the fastest AI-adopting country in the G7 while giving workers a stronger role in how the technology is introduced.
The package includes £100m to expand the Bridge AI scheme, which matches British companies with British AI tools and provides support on skills, assurance, and practical implementation. A further £53m will be ringfenced for new initiatives to support AI adoption and innovation, including expansion of the Tech Town programme pioneered in Barnsley.
Each AI Growth Zone will receive £5m to support local companies and workforce upskilling, while new AI Advisory Growth Labs will allow businesses, regulators, and experts to test AI in working environments. Legal services will be the first sector to take part.
A new AI Economics Institute, chaired by Nobel Prize-winning economist Simon Johnson, will track how AI is affecting jobs, productivity, and growth. More than 30 companies, including BT, Rolls-Royce, Accenture, and EDF, have also signed up to share evidence on workplace AI adoption, staff support, and changes to working practices.
Technology Secretary Liz Kendall said: “AI is the defining technology of our lifetime, and it has the power to transform lives for the better – but only if everyone gets a stake in it.
“That is why we are bringing together businesses, trade unions and workers in a shared mission to make sure no one is left behind.
“By giving workers the skills they need, opening up opportunities for young people, and backing businesses of every size to adopt this technology, we can ensure AI delivers for everyone in every part of Britain.”
The announcement places AI adoption inside a broader industrial and labour-market agenda. Government and industry’s AI Skills Boost programme has now passed 1.7m completed AI skills courses, while nine companies, including Cisco, IBM, and Deloitte, plan to support training expansion for employers.
Sector adoption plans published alongside the summit point to a more complex challenge than headline uptake. The government’s digital and technologies plan says the UK already has one of the highest AI adoption rates in Europe, but companies are using the technology less intensively than US counterparts. Depth of integration, rather than basic access to tools, is where ministers believe productivity gains will be made.
Many organisations have already allowed staff to use AI assistants for emails, research, coding, and document preparation. Larger productivity gains are more likely to come when AI is embedded into operating models, workflows, service delivery, compliance processes, and customer support. That requires investment in data quality, governance, training, and role design, rather than software procurement alone.
The workforce dimension is becoming harder to separate from adoption policy. The digital and technologies plan proposes an industry-led Early Careers Jobs Alliance to help employers redesign junior roles as AI becomes embedded. The proposal asks companies to protect structured learning opportunities, define the AI-related skills new entrants need, and pilot redesigned graduate, apprenticeship, and entry-level pathways.
Pressure on the skills system is already mounting. Skills England has warned that demand in priority growth sectors is expected to rise 24% over the next decade, requiring up to 1.8m additional workers. AI adoption could ease that pressure through productivity gains, but poorly managed deployment could deepen skills gaps if companies reduce junior hiring without rebuilding career ladders.
Smaller companies may face the steepest adoption challenge. Many want to use AI but lack the tools, support, or assurance needed to proceed safely. Bridge AI expansion and Growth Zone funding are designed to close that gap, although the impact will depend on whether support reaches companies outside the technology sector and large corporate supply chains.
Government AI policy is also moving into a more practical phase. Earlier debate focused heavily on frontier model safety, public-sector use, and research capability. The new package moves closer to workplace design, business productivity, and implementation discipline.
Fragmented AI use across teams can increase risk and inconsistency, particularly where staff use tools without common governance. More structured adoption could improve output, but it forces employers to answer practical questions about training, accountability, data protection, role design, and consultation.
The package gives ministers a clearer framework for national AI adoption. The harder work now sits inside companies: identifying where AI can genuinely raise output, deciding how people will be trained, and ensuring the technology changes how work is organised rather than simply adding another layer of tools.
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