Commercially Minded | Reading the signals of science and innovation demand in real estate
In the latest episode of the Commercially Minded podcast, I'm joined by Jennifer Townsend, a partner in Knight Frank's Occupier Insight team, to explore how developers, investors and landlords should approach the intersection of innovation and real estate, from location decisions and product design to the sub-sectors building momentum across the UK.
27 May 2026
The innovation sector is widely seen as one of the UK's biggest economic opportunities, and the evidence is building. OpenAI's decision to establish a permanent presence in London is one signal; so too is the depth of innovation activity emerging across UK cities well beyond the traditional Golden Triangle of London, Oxford and Cambridge. The challenge for the real estate industry is that its traditional metrics are not always suited to measuring that opportunity, and can make it all too easy to misread the signals.
The problem with traditional metrics
Jennifer identifies two core issues. The first is sector classification: AI firms and quantum computing businesses are bundled into broad categories like "tech, media and telecoms" that no longer reflect today's innovation economy. The second is timing. Market reporting focuses on take-up, a lagging indicator, whereas the true triggers of demand, particularly venture funding, occur 12 to 18 months before a transaction is recorded. Missing those signals means missing the market.
Funding as a leading indicator
The stage of funding a company has reached gives a direct read on the kind of space it needs and when. A market dominated by seed-stage companies calls for flexible, incubator-style space; a more mature cohort points towards larger, more permanent floor plates. In the UK AI sector, 60% of funded companies have fewer than 25 employees, and just 14 have surpassed the 1,000-employee mark. With a historical failure rate of around 60%, understanding the pipeline, rather than assuming it, is what separates well-placed investment decisions from costly ones.
Emerging clusters across the UK
London, Oxford and Cambridge remain dominant, but the data also reveals opportunity beyond those obvious markets. Edinburgh is the third largest local authority in the UK by number of high-growth AI companies, a position that has emerged from fewer than a handful of company formations a decade ago to several hundred today. Leeds has a well-established digital health cluster, with broader regional strengths in agritech and defence. Manchester is a world leader in advanced materials and is building a recognised cluster in genomics, a field using healthcare data to drive drug discovery.
The product question and what comes next
Flexibility is the consistent requirement across innovation sectors, alongside operational support, access to funding networks and, increasingly, infrastructure for power and computational capacity.
The sectors to watch are those aligned to national security and sovereignty: energy, defence and the infrastructure required to support the UK's ambition to be an AI-maker, rather than just a consumer of AI technologies. Affordable, well-supported space has a role to play in retaining that value within the UK.
Listen to the latest episode of Commercially Minded for the full conversation. The theme of sovereignty and national security that Jen raises is last week's edition of her last weekly innovation update - contact Jennifer Townsend to sign up. Subscribe to Will's Commercially Minded newsletter for a weekly take on commercial real estate markets.