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<\/p>\nFor most of the past two decades, Leeds has occupied an awkward position in Britain\u2019s technology economy.<\/p>\n
Too large to be ignored. Too often overlooked. When investors, policymakers and journalists talked about the future of technology outside London, attention gravitated elsewhere. Cambridge commanded global prestige through its universities and deep-tech spinouts. Manchester cultivated a reputation as the North\u2019s digital capital. Edinburgh quietly built one of Europe\u2019s strongest machine-learning research communities.<\/p>\n
Leeds rarely dominated the conversation. Yet AI is beginning to redraw the map of Britain\u2019s innovation economy. <\/p>\n
The technology\u2019s first wave was defined by research laboratories, venture capital and the race to build ever more powerful models. The next phase may look very different. As businesses move from experimentation to implementation, the winners are likely to be places that can deploy AI at scale across industries such as healthcare, financial services, retail and government.<\/p>\n
That shift could play directly to Leeds\u2019 strengths. The city is home to one of the largest concentrations of financial services outside London. It sits at the centre of a growing health technology ecosystem linked to major NHS organisations, universities and data infrastructure. Regulators, mutuals, lenders and enterprise software companies all operate within a relatively compact urban economy.<\/p>\n
In other words, Leeds possesses something increasingly valuable in the age of artificial intelligence: large institutions sitting on vast quantities of data.<\/p>\n
The question is whether that is enough. Every city in Britain now wants to become an AI hub. Local authorities are publishing strategies. Universities are launching institutes. Investors are searching for the next breakout cluster beyond London and Cambridge.<\/p>\n
The competition is intense. Manchester enjoys a larger national profile and stronger venture capital networks. Cambridge remains the country\u2019s undisputed leader in research commercialisation. Edinburgh\u2019s expertise in AI stretches back decades.<\/p>\n
Leeds enters the race as something of an outsider. But some in the city believe the conventional rankings may be missing the point.<\/p>\n
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\u201cThe thing about Leeds is we are not making up a reason to be in AI,\u201d says Jonny Sharp, founder of tech-focused \u00a0corporate finance boutique, Cerelo Advisory. \u201cWe are already sitting on a mountain of real data through the NHS, financial services and lots of data-rich businesses. So the play here I think is AI on top of proprietary data, not another team trying to build a foundation model and compete with the West Coast.\u201d<\/p>\n
His argument reflects a growing belief that the next AI winners will not necessarily be the places producing the most research papers or attracting the loudest headlines. Instead, they may be the places best positioned to apply artificial intelligence to real-industry problems.<\/p>\n
Much of the excitement surrounding AI has focused on the companies building the underlying models. OpenAI. Anthropic. Google. Meta.<\/p>\n
But increasingly, investors and entrepreneurs are shifting their attention elsewhere. \u201cCompletely,\u201d says Sharp, when asked whether the focus is moving away from model builders. \u201cThe model layer is consolidating around a few giants and everyone has worked out that the real value sits in the application layer. When buyers and investors talk to us now, they want to know about the proprietary data, whether the outputs are reliable and what the wedge is into a specific industry. Nobody is asking who trained the cleverest model.\u201d<\/p>\n
That observation matters because Leeds is not trying to become another Silicon Valley. It does not have the venture capital density of London. It does not possess Cambridge\u2019s concentration of deep-tech spinouts. Nor does it need to.<\/p>\n
Its opportunity lies elsewhere. Healthcare. Financial services. Retail. Legal services. The heavily regulated, data-rich industries that dominate the local economy are precisely the sectors where AI is expected to generate some of its biggest gains.<\/p>\n
In healthcare, Leeds has spent years assembling a network of hospitals, researchers, digital health businesses and public-sector institutions. In financial services, it hosts major lenders, insurers, mutuals and regulators. Leeds is also home to several retail giants.<\/p>\n
The city\u2019s advantage is not that it has more AI companies than its rivals. It is that it already possesses the customers.<\/p>\n
Every successful technology cluster eventually develops a competitive asset that is difficult to replicate. In the AI economy, that asset is increasingly data. London has global finance. Cambridge has scientific research. Leeds has something unusual: meaningful scale across both health, financial and legal services.<\/p>\n
That matters because access to proprietary, industry-specific data is becoming more valuable as the underlying AI models become commoditised.<\/p>\n
\u201cModels are getting commoditised and real-world data is becoming more valuable,\u201d says Sharp. \u201cThat is the genuinely scarce bit and it is the thing Leeds has in real depth. Our edge in AI is going to be built on data, not on trying to out-spend London on kit.\u201d<\/p>\n
The healthcare opportunity is particularly striking. Leeds hosts NHS England operations, major health technology suppliers and one of Europe\u2019s largest teaching hospital trusts. Around them has emerged a growing ecosystem of startups, researchers and clinicians focused on applying technology to healthcare challenges.<\/p>\n
The question is whether that ecosystem can evolve from a collection of promising initiatives into a globally recognised cluster.<\/p>\n
The same challenge exists in financial services. For decades, Leeds has quietly built one of Britain\u2019s most significant financial centres outside London. AI now offers the possibility of transforming that concentration of expertise into something more distinctive. But only if the city can focus.<\/p>\n
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Zandra Moore<\/p><\/div>\n
For Zandra Moore, CEO of Zygens and one of Yorkshire\u2019s most prominent technology entrepreneurs, the greatest risk facing Leeds is not a lack of talent, investment or opportunity. It is a lack of sub-sector focus.<\/p>\n
Moore also believes Leeds\u2019 biggest strength is often misunderstood. The city is not necessarily better funded than its rivals. It is not necessarily home to more researchers. What it does possess is an unusually dense network of institutions capable of working together.<\/p>\n
\u201cThe civic centres, whether that is combined authority or the local authority, they\u2019ve got a unified strategy which we can all get behind. The universities are engaged with the civic institutions as well, and businesses are being brought in very quickly through the structure of the mayoral authority.\u201d<\/p>\n
That interconnectedness has become increasingly important as AI moves from research into deployment.<\/p>\n
\u201cWe\u2019re a city that has enough strategic anchor organisations and assets in it,\u201d she says. \u201cWe\u2019ve got leading universities in the UK; we\u2019ve got anchor organisations like the Bank of England. We\u2019ve got private sector organisations, we\u2019ve got regulators like the FCA, and we\u2019ve got a community that is agile enough and small enough where everyone can get together and do something faster than other places.\u201d<\/p>\n
Yet Moore is sceptical of the growing tendency for every city to market itself as a broad AI hub.<\/p>\n
\u201cThis AI hub of fintech and healthtech is, for me, too broad. Where we will win is if we narrow this down\u2026 because we\u2019re not going to try and make everybody happy, we know we can\u2019t.\u201d<\/p>\n
Her argument is that Leeds should stop thinking in broad sectors, but in niches within these sectors. Not healthcare, but patient records. Not financial services, but mutuals. Specific use cases where the city can claim a concentration of expertise that few others can match. The example she highlights above others is the mutual sector where Yorkshire has the largest concentration of mutual organisations.<\/p>\n
It is an unconventional answer in a debate about artificial intelligence. But it also hints at a more sophisticated strategy.<\/p>\n
Rather than competing head-on with Manchester or Cambridge, Leeds could seek to become the global centre for AI applications in a handful of highly specialised domains.<\/p>\n
\u201cThe problem is people deciding where to vote, says Moore. Honestly\u2026 if we keep talking broad, we\u2019ll never be able to get on with the job of doing something.\u201d<\/p>\n
There is another reason why Leeds may be better positioned than some of its competitors.<\/p>\n
The city has always been more understated than its peers. That can be a disadvantage when attracting investors and media attention. But it can also encourage a more practical approach to technology adoption.<\/p>\n
If Leeds’ opportunity lies in application rather than invention, the real test is not whether businesses are talking about AI, but whether they are using it effectively.<\/p>\n
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Jessie Stuart, head of analytics at HyperFinity, sees a growing gap between AI enthusiasm and practical adoption.<\/p>\n
\u201cBusinesses are trying to adopt AI, but many don\u2019t know how to apply it effectively. They need support in the form of tailored tools and expertise that address real commercial questions.\u201d<\/p>\n
The first wave of generative AI adoption has often amounted to little more than experimentation.<\/p>\n
\u201cI\u2019m sure people are using ChatGPT to answer questions, like a glorified search engine, and they\u2019ll see some initial benefit. However, that alone won\u2019t deliver the step-change in performance that AI is capable of.\u201d<\/p>\n
The organisations generating real value are increasingly those using AI to solve clearly defined business problems.<\/p>\n
\u201cThe key is having a clear AI strategy linked to real business priorities,\u201d Stuart says. \u201cOrganisations should be asking: what are our biggest commercial challenges, and how can AI help solve them?\u201d<\/p>\n
That philosophy is visible at HyperFinity itself, which develops AI-driven analytics tools for retailers.<\/p>\n
The company\u2019s clients include major brands and retailers that need to make faster, better decisions using increasingly complex datasets. It is a business model rooted in practical outcomes rather than technological novelty. In many ways, it mirrors Leeds\u2019 broader AI proposition.<\/p>\n
One of Leeds\u2019 biggest obstacles remains the same one that has constrained regional technology ecosystems across Britain for decades \u2013 capital.<\/p>\n
\u201cThe big money still sits in London,\u201d says Sharp. \u201cThe risk is we grow the founders here and then export all the value.\u201d<\/p>\n
Seed funding has become more accessible across the North. Angel networks have expanded. Regional investors have become more active.<\/p>\n
\u201cThe challenge comes later in the growth cycle – series A and the bigger growth rounds. Pre-seed and seed are well covered now by regional funds and angels. It is the step up to institutional growth money where it thins out and founders end up looking to London or overseas.\u201d<\/p>\n
Talent presents a similar challenge. Leeds produces graduates. It attracts young professionals. It offers a quality of life that many technology workers increasingly value.<\/p>\n
But retaining experienced AI specialists remains difficult. Sharp believes talent has become the larger constraint.<\/p>\n
\u201cSenior AI and machine learning people who actually want to stay in the region are hard to find, and that is the quiet thing that caps how big a company can get before it ups and moves.\u201d<\/p>\n
Stewart is more optimistic. \u201cThere are a growing number of startups and scale-ups working on exciting AI and data-led projects, which are highly attractive to data scientists and machine learning specialists.\u201d<\/p>\n
But she acknowledges that long-term success depends on building companies capable of creating career opportunities at scale.<\/p>\n
The race to become Britain\u2019s second AI city will not be decided by the number of strategy documents produced or innovation districts launched.<\/p>\n
It will be decided by outcomes. Companies created. Jobs retained. Investment attracted. Products exported.<\/p>\n
For Sharp, the benchmark is straightforward. \u201cA proper cluster of scale-ups, not just promising seed-stage companies. Real growth money going into those businesses from the region. One or two genuine breakout wins that put us on the map. And the big one, founders and senior people choosing to stay and scale here rather than rushing to London once they hit a certain size. Retention of quality talent is the real test.\u201d<\/p>\n
For Stewart, success is broader. \u201cSuccess would be a diverse workforce supporting the AI economy, with strong representation across gender, culture and background. Beyond that, AI should be used to scale businesses and improve productivity across the regional economy, contributing to broader economic growth.\u201d<\/p>\n
For Moore, it comes back to focus. \u201cSuccess would be that we, the industry\u2026 and the politicians and the UK economy and international players, say Leeds is the home for AI in the mutual sector, and we are exporting that globally.\u201d<\/p>\n
It is an intentionally narrower vision than the grand claims often associated with technology policy.<\/p>\n
But perhaps that is precisely the point. The cities that succeed in artificial intelligence are unlikely to be those that try to become everything. They will be the ones that identify where they possess a genuine advantage and build relentlessly upon it.<\/p>\n
Leeds has more advantages than many realise. The question is whether it has the confidence to choose them. Because becoming Britain\u2019s second AI city may ultimately depend on a simpler challenge: deciding what kind of AI city it wants to be.<\/p>\n","protected":false},"excerpt":{"rendered":"
Leeds rarely dominated the conversation. Yet AI is beginning to redraw the map of Britain\u2019s innovation economy<\/p>\n","protected":false},"author":271992,"featured_media":2155391,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[137137,50204],"coauthors":[137100],"class_list":["post-2156356","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-analysis","category-technology","tag-featured-story","tag-yorkshire"],"yoast_head":"\n