Following successful pilot programmes that delivered measurable improvements across its operations, the University of Southampton is expanding its digital training initiative to a wider cohort of staff. The AI and Data apprenticeships programme with Multiverse has welcomed an additional 150 colleagues, marking the university’s largest cohort yet.

Initial participants were quick to apply their new skills and drive tangible business impact, with one learner mitigating room inspection failures through clearer data and the implementation of a new process tracker. Other learners made strides in reducing admin bottlenecks, with one significantly cutting down reporting time and another developing a Power BI dashboard which led to a major reduction in issues with student engagement monitoring.

Building on this success, the University has recently extended the programmes to a new cohort of staff, reflecting the demand for digital skills across the organisation and the value demonstrated by earlier cohorts in increasing accuracy and reducing the burden of manual activities.

Staff have enrolled into one of four Multiverse courses, including AI-centric programmes Level 3 AI-Powered Productivity and Level 4 AI for Business Value. These courses will improve confidence in ethical and effective AI tool adoption, including Microsoft 365 Copilot, helping teams to integrate these tools into tasks across their workflows.

The Level 3 Data & Insights for Business Decisions and Level 4 Data Fellowship programmes will improve data handling and automation in Excel, PowerBI and Tableau, and train staff in predictive and statistical modelling to tackle hands-on projects and handle real operational challenges effectively. 

Andrew Atherton, VP International and Engagement and Digital Strategy Sponsor at the University of Southampton, said: “Multiverse’s training programmes have shown what’s possible when staff are given the tools and confidence to apply digital thinking to their work. Having secured significant results already, we’re excited to equip even more of our people with robust skills in AI and data, helping us to deliver even better services for students and increase job satisfaction for employees.” 

Gary Eimerman, Chief Learning Officer at Multiverse said: “It’s fantastic to see the impact that Multiverse training has already had on the University of Southampton, whether it’s fewer room inspection failures or reduced reporting time. Expanding the training will give more staff the opportunity to innovate in their roles, creating a shared digital culture across the University.” 

Multiverse is the upskilling platform for AI and tech adoption, which delivers personalised, on-the-job learning. Multiverse has trained more than 20,000 apprentices in AI, data and digital skills since 2016.

Over 1,500 companies work with Multiverse to deliver a new kind of learning that’s transforming the workforce at scale. Programmes are targeted at people of any age or career stage.

Age UK, the leading charity for older people, is partnering with tech upskilling platform Multiverse to launch an AI and Data Academy. The initiative will equip 60 team members with critical digital skills, transforming how the Charity supports the millions of older people currently facing poverty and isolation.

As the UK’s ageing population continues to grow, the demand for Age UK’s services has never been higher. Nearly 2 million older people are currently living in poverty, often hidden from traditional support networks. This partnership moves beyond traditional charity operations, using technology as a force multiplier to reach more vulnerable people with its services.

The training initiative will empower the organisation to modernise their processes, secure data-led insights and adopt new technology. By strengthening digital skills across its teams, Age UK can reduce delays in live fundraising projects, identify future fundraising opportunities, and streamline critical tasks such as writing funding bids, which can take weeks of employee time to complete manually.

Donna Marshall, Chief People Officer at Age UK, said: “Our people are deeply committed to the meaningful work that they do, and this partnership with Multiverse is a significant investment in their growth and the future of the Charity. By launching this AI and Data Academy, we are empowering our team to work more effectively, so they’re able to focus on what truly matters.”

James Radford, Strategy and Transformation Director at Age UK, said: “To address the complex challenges of poverty and isolation in an ageing population, we must be as agile and data-informed as possible. That means developing data and AI capabilities across our teams to unlock insights that allow us to scale our impact and target our resources to reach more people that need our support. The Digital Academy is therefore a key part of our transformation strategy.”

Staff will be enrolled across five Multiverse training programmes, including the Level 3 programmes Data for Insights and Business Decisions and AI-Powered Productivity, which introduce learners to data and AI platforms, such as Microsoft Copilot and Power BI.

The Level 4 Data Fellowship delivers training in programming, data modelling and analysis skills, while the Level 4-6 Advanced Data Fellowship will deepen technical expertise in data storage, machine learning and data flow automation. 

Gary Eimerman, Chief Learning Officer at Multiverse said: “Charities like Age UK deliver critical support to those in need, and as the need for charity support grows, so do the demands on those delivering these services. To help meet these demands, Age UK is leading the way by removing digital barriers, streamlining processes and unlocking valuable time through data insights and responsible AI uses.”

Multiverse is the upskilling platform for AI and tech adoption, which delivers personalised, on-the-job learning. Multiverse has trained more than 20,000 apprentices in AI, data and digital skills since 2016.

Over 1,500 companies work with Multiverse to deliver a new kind of learning that’s transforming the workforce at scale. Programmes are targeted at people of any age or career stage.

Before Multiverse, what was the alternative for a 42-year-old whose role is being automated? An evening course? A YouTube tutorial? In too many cases, the answer was nothing at all.

I started Multiverse nearly ten years ago because I saw an acute problem: a huge gulf between the skills workers had and the skills the economy needed. Ten years on, that problem has got harder. Employer investment in training has fallen by nearly £10 billion in real terms. Hundreds of thousands of vacancies in the NHS, social work and teaching go unfilled. More than a quarter of all employer vacancies are skills-related. And now we face something genuinely existential: AI-driven displacement that will impact every worker, in every sector.

The OBR's March 2026 forecast shows a £90 billion swing in public borrowing depending on whether productivity improves - and names AI adoption as a key factor. UK output per person has flatlined since 2019. The cost of inaction is not abstract.

Last year, Multiverse accounted for more than half of all growth in apprenticeship starts across the entire system. That growth brings responsibility, and accountability where we fall short. So let me be direct about both.

On completion rates: ours are too low, and I want them higher. Our last published QAR (the government gathered metric for completion) sits at 52.6%. Our highest-level programmes complete at c.70%, our software developer programmes complete above 80%, and our data degree apprenticeship has topped the National Student Survey for satisfaction two years running. The gap elsewhere reflects deliberate choices that I stand behind, with caveats.

For our AI programmes, we chose an inclusive approach to enrolment. Employers asked us to reach frontline workers - the people who typically get passed over for formal training. The result is a 50/50 gender split on our two biggest AI programmes and genuine reach across the country. That approach comes with a real tradeoff on completion, but even among those who withdraw, 70% have already generated measurable value for their employer. One of our NHS apprentices reduced missed appointments in a hospital department by 30%. A pay rise or promotion during or after the programme is the majority outcome for our learners.

We also hit friction because the regulated apprenticeship system hadn't caught up with AI. The release of the first general purpose AI apprenticeship is now imminent; but nearly four years after ChatGPT launched. The right answer was never to simply ignore AI from an apprenticeship perspective - but we paid a price in our QARs for innovating ahead of the programmatic standards available. We're working to close that gap.

On whether we take more than we give: Multiverse has put $500 million of investment capital into the skills system — the largest non-governmental investment in the skills system anywhere in the world. Our learners have driven more than £2 billion in measurable ROI for their employers. Our AI coach, Atlas, now handles 15 million queries with a 98% satisfaction rate. Since 2020, we've contributed £102 million in Income Tax and National Insurance through our employee payroll alone.

And we train apprentices aged 16 to 70. That's not a mission drift — it's the most urgent expression of our mission. The cost of a Multiverse programme is a fraction of the cost of redundancy, rehiring, and starting again from scratch. Apprenticeships for a 45-year-old facing automation and apprenticeships for an 18-year-old who can't afford university are both responses to the same broken system. We shouldn’t pit them against each other; the country needs more of both.

On growing too fast: I accept that growth creates strain, and that in regulated markets innovation creates friction. We haven't always managed that strain as well as we should. We weren't prioritising formal careers advice for experienced workers, as an example - assuming they wouldn't want it from us. The regulator sees it differently, and we're now embedding it across all programmes. Where we've created friction, we'll own it and adapt.

But the apprenticeship system's core problem is not that providers have grown too fast. It's that the system hasn't grown at all. The NHS starts c.20,000 apprentices in a workforce of 1.4 million. Its own Long Term Workforce Plan targets 22% of clinical training through apprenticeship routes by 2031. It’s only 7% today. Funds available for apprenticeships expire unused every year. Total starts remain below pre-levy levels. We employ a sales team that is unashamedly relentless in trying to persuade every employer who will listen that educating their workforce is a good thing, and that it’s a worthwhile investment to make - both for them and for their workers.

In that context, growing too fast is not the right criticism. The right question is: why isn't everyone growing faster?

We are reinvesting everything we earn into building a reskilling infrastructure that didn't exist before. We are not going to stop. There is an alarming world where workers facing automation have nowhere to turn. They deserve a pathway, and we're proof that when you build one, people will take it. The skills gap is not inevitable. The question is whether we'll move fast enough, and boldly enough, to close it. And ten years on, there’s still a lot more for us to do.

— Euan Blair

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