The North East now has a credible position in Britain's AI infrastructure build-out. Cambois has QTS and Blackstone. Cobalt Park sits inside the North East AI Growth Zone. Durham has Aykley Heads, a planned university data centre and new AI skills partnerships with Microsoft and Sage.
That is not the same thing as saying the North East has an AI economy. Data centres can bring large capital spend, construction work, specialist engineering jobs, business rates and strategic attention. University partnerships can train people and give the region a stronger research base. But capturing more of the value locally requires something else: local companies building products, owning intellectual property, winning customers, raising capital and helping businesses and organisations across the region become more productive.
Infrastructure is only the starting point
Recent Review North pieces have set out the two strongest parts of that infrastructure story. At Cambois, QTS Data Centers, backed by funds managed by Blackstone, is developing a staged campus on the former Blyth Power Station site. Plans for the full scheme include up to £10bn of investment and 720MW of capacity, with outline permission for up to ten data-centre buildings. It sits inside the wider North East AI Growth Zone, alongside Cobalt Park.

CGI of the proposed QTS data-centre campus at Cambois, with outline permission for up to ten buildings. Source: QTS / Northumberland County Council.
Government announcements have put the Growth Zone at more than 5,000 jobs and up to £30bn in private investment. The £30bn figure covers the wider Growth Zone, not Cambois alone. In April this year, ministers told Parliament that the programme did not depend on a single investor after OpenAI paused its Stargate UK investment.
Durham's role is more institutional. The Durham Innovation District at Aykley Heads is planned as around 400,000 sq ft of office, research and innovation space. Durham University's data centre on Plot D is the only part of the wider scheme with detailed planning approval so far. The university has also announced an AI Skills Centre of Excellence with Microsoft and a separate partnership with Sage on AI skills, accounting technology and analytics.
All of this strengthens the region's AI capability. It does not yet show how much of the resulting economic value stays in the North East.
Sage is the commercial anchor
Sage provides the strongest existing evidence on the commercial side. The Newcastle-headquartered FTSE-listed software group is based at Cobalt Park, with more than 1,000 staff in Newcastle.
Sage's AI work is now tied to its core business. Its trading update for the nine months to 30 June 2026 showed total revenue up 11 per cent to £2.062bn, with Sage Business Cloud revenue up 15 per cent to £1.762bn. The update linked that cloud growth partly to the expansion of AI-powered capabilities across its portfolio.
Sage's AI work sits inside products customers already pay for, not only in regional training programmes. In April this year, the company announced AI tools for finance, payroll, HR and enterprise-management systems: the back-office software where accuracy and auditability matter.
For the region, that makes Sage a rare asset: a locally based company building AI into software sold internationally. Its headquarters, senior regional presence and skills work make it an important commercial anchor for the North East.
The startup base is broader than it first looks
The startup base is still early, but it is more varied than a simple list of AI companies would suggest. The useful distinction is between companies whose core product depends on AI and those using AI to extend an existing software offer.
AttiFin AI sits in lawtech. The Newcastle startup is building a UK-law-focused AI assistant for legal research, drafting and summarisation. It is North East-based, with LawtechUK putting its funding at £5m.
Rightbrain AI is closer to workflow automation. The Newcastle-founded startup raised £3m in May this year in a round led by NPIF II - PXN Equity Finance, alongside Salica, NYDIG and angel investors. It builds AI agents that run inside existing tools and workflows, including CRMs and Google Workspace.

Peter Cheyne and Matt Wells, the founders of Rightbrain AI. Source: PXN Ventures
Literal Labs sits at the deeper-technology end. Spun out of Newcastle University in 2023, it is developing logic-based AI models designed to run without GPUs or large data-centre requirements. It raised £4.6m in pre-seed funding in May 2025, led by Northern Gritstone and co-led by Mercuri, with participation from Sure Valley Ventures, Cambridge Future Tech and angel investors.
Gnosis Health shows a different route from university research into an AI product. Based at The Catalyst on Newcastle Helix, the Newcastle and Plymouth university spin-out secured £1.1m in funding in June this year to develop MAXine, an AI-powered digital healthcare assistant for Parkinson's disease. The funding package included £250,000 from Northstar Ventures, £320,000 from SFC Capital and a £550,000 Innovate UK investor partnership grant.
Other companies show the breadth rather than the core of the argument. Automate Legal's Jurana platform is pitched at legal costs drafting. Kinewell, on Newcastle Quayside, develops offshore wind software, including KLOC, an AI-based cable-layout optimisation tool. Ceto, founded in Newcastle but now registered in London, uses predictive analytics for maritime maintenance, emissions and insurance. Gateshead-based Wordnerds analyses customer feedback using AI and behavioural science, Workprove is developing AI-powered workforce intelligence, and PolyBox Solutions is using AI in marketing reporting and insight.

Adoption is still uneven
Evidence of adoption is more mixed. There are useful examples, but they are mostly pilots, supplier partnerships and public-sector programmes rather than evidence of widespread productivity gains.
Northumbrian Water is one of the better cases because the use is operational. In June this year, it reported early results from a six-month trial with FIDO Tech using AI acoustic monitors to detect leaks, with water savings of nearly 6.4 megalitres a day. It has also secured £1.6m from the Ofwat Innovation Fund for Smart Alarm Management, a project with Softwire and other water-sector partners that will use AI, machine learning and data modelling to prioritise alarms across water and wastewater networks.
AI use in health is still concentrated in research and pilot projects. In the NHS, test projects include an AI system to identify high-risk glaucoma patients, work on whether digital photography and AI can improve waiting times for skin cancer patients and separate work using data and AI to identify people at risk of multiple long-term conditions. Newcastle Hospitals has also used Spectral AI's DeepView tool to help predict burn healing.
Local government is at an earlier stage. North East councils are taking a shared approach to AI through the North Eastern ICT Partnership, moving from use-case scanning into pilots, scaling and a shared catalogue. The approach is structured, but it is not yet evidence of region-wide productivity gains.
The clearest public evidence of AI adoption is concentrated in utilities, healthcare and local government, although much of it remains at pilot stage. There may be wider use inside manufacturers, professional-services firms, schools and ordinary SMEs, but public evidence of measurable productivity gain is thinner.
What would make this a real AI economy
The evidence now supports a constructive claim. The North East has enough AI infrastructure, software capability, university activity and early companies to build on.
The next stage is more practical. The region needs more routes from university research into companies, more early customers for local AI products, more procurement routes that let councils, hospitals and large employers buy from smaller regional firms, and more support for founders trying to sell outside the North East.
Skills matter as much as startups. The Growth Zone package points in that direction: £750,000 of mayoral funding for TechFirst, a target of 80,000 North East students trained by 2029, support for 1,000 teachers and 150 local work placements. Sage, Accenture and other businesses are also expected to support more women into technology careers. Those programmes can help, but the useful measure is whether they give local employers people who can apply AI to finance, operations, engineering, health, customer service and public administration.
The North East has the first layer of the story: data-centre capital, institutions, Sage and a visible group of product companies. The opportunity now is to turn those ingredients into locally owned products, paying customers and productivity gains that can be seen in ordinary regional organisations.

