When you think of AI hubs in Europe, your mind might go to capital cities of innovation, like London, Paris and Berlin. But the future of frontier technology doesn’t lie in our capitals, rather in our regional cities.
Manchester, for example, has a long history of significant scientific and technological breakthroughs. It’s where the Industrial Revolution started, the atom was first split and where Alan Turing developed the first programmable computer, building on pioneering work by Fredric Williams and Tom Kilburn. This later led to the introduction of the first commercially available, general purpose computer by Ferranti. Today, the city’s technology ecosystem stands on the shoulders of these pioneers and is primed to drive and deliver the most disruptive advances in artificial intelligence.
Not only is the city home to world-class academic institutions, developing cutting-edge research in the field, but it also facilitates a thriving AI community. This is backed by the presence of industry giants like Microsoft, Amazon, IBM, Arm and Google, as well as a fast-growing startup community.
It’s the strength of this ecosystem that makes Manchester a super-hub of AI innovation. The Turing Innovation Catalyst Manchester’s (TIC) partnership with Sister – Manchester’s £1.7bn innovation district – is one piece of the tapestry, bringing together specialised experts, academics, VCs and entrepreneurs to supercharge AI development.
Moving into 2026, our ability to position ourselves as global AI leaders and deliver the UK government’s Industrial Strategy will hinge on the capabilities of our regional hubs. Supporting innovation corridors and ecosystems across the country, and distributing capital beyond the Golden Triangle, will allow us to unlock the potential of these thriving regions and achieve greater economic growth.
The Northern powerhouse
Manchester is the vanguard of the UK’s AI ambitions, demonstrating that the Northern powerhouse is a critical engine for national growth outside the capital. It is home to over 10,000 tech businesses, including AI-specialised companies like offshore renewable energy company NeuWave and advanced genomics startup MolMart, with the city offering an unparalleled environment for startups to scale.
With a thriving ecosystem made up of world-class academic institutions, industry giants, startups and government bodies, Manchester has been voted the UK’s “most AI-ready” city in the SAS AI Cities Index two years running. The region’s strength in AI development has been consolidated by the presence of the Government Digital and AI Innovation Campus, as well as plans to pilot AI-adoption programmes for SMEs in Manchester and Liverpool as part of the Industrial Strategy.
Despite this potential, the majority of AI funding is still being directed towards the south of the country, with 68% of funded AI startups coming from London in 2025. The tide is turning, however, with more opportunities opening up for distributed investment. Regional hubs have an important role to play in progressing this shift, providing early-stage AI businesses with the means to grow that go beyond capital, such as specialised talent, infrastructure and peer-to-peer support.
Breaking the scaling barrier
For early-stage AI firms, the path to growth is often blocked by access to talent, high operational costs, and complex regulation. Manchester’s ecosystem is purpose-built to dismantle these barriers, offering entrepreneurs access to specialised support networks that tackle these challenges head on.
TIC, for example, serves as the city’s primary bridge over the “talent gap,” and has successfully connected over 170 AI innovators with 1,000 skill-seekers since 2023. This pipeline, combined with funded R&D support, allows businesses to bypass the high entry costs of innovation and focus on rapid deployment.
Furthermore, the ecosystem helps connect AI pioneers with a wider network of peers, experts and industry leaders to create opportunities for collaboration and learning best practices. TIC’s partnership with Sister means entrepreneurs have access to educational programmes to enhance their skills and understanding of the AI landscape, while connecting them to like-minded people who share the same challenges when it comes to launching an AI service or product.
By creating physical spaces where AI experts can come together, entrepreneurs enter a community where they can easily access the answers to new questions – whether it’s about funding rounds, compute power or changing regulatory hurdles.
Collaboration to drive applied innovation
Moving into 2026, we’ll see the advancing maturation of AI as it’s used to help solve complex challenges across different sectors. Manchester is uniquely positioned to lead this evolution by fostering strategic partnerships between different sectors and disciplines that help bridge the gap between model development and real-world application.
Innovation hubs like Sister house startups from across AI, advanced materials, biotech and health innovation. As neighbours, and part of a wider innovation ecosystem, these businesses have the opportunity to communicate and collaborate organically. This is vital to help identify new ways AI can enhance different industries – whether it’s supporting the development of personalised healthcare or discovering more sustainable building materials.
By acting as a national testbed for these hybrid innovations, Manchester is providing a scalable blueprint for how the UK can lead the global race in applied AI, driving economic impact that is both tangible and sustainable.
Supercharging our AI hubs
To compete on the global stage and establish ourselves as leaders in AI, we need to realise the potential of our regional innovation districts. Attracting additional investment will help grow the impact of cities like Manchester, offering AI startups a rich and thriving ecosystem to grow ideas into successful enterprises.
Capitalising on the unique regional strengths of our cities will help harness greater collaboration between industries and develop safe and meaningful AI products and services at speed.
