Features
As the UK searches for sustainable and inclusive paths to economic growth, one powerful answer lies in plain sight, small and mid-sized businesses. Often hailed as the backbone of the economy, small and mid-sized businesses are uniquely positioned to drive the economy. But only if we give them the support they need to shift into high gear.
When I hear people talking about using AI at work, I can almost predict how the conversation will go. Most people have explored ChatGPT and had varying successes with other tools. Some use AI every day, others are considering learning more, and there’s always at least one person that avoids it as if even attempting to participate in this new era will set off a chain reaction to ruin us all. Of course, there is no question that AI is here to stay, and early adopters will be more efficient and quick to advance than their competition.
Navigating the journey from concept to mass production can be overwhelming for startups, university spinouts, and technology investors. Anglia Unicorn steps in to make this path smoother and more achievable, providing support and resources to turn innovative ideas into market-ready products, all free of charge.
It was no surprise to me that people with ADHD are far more likely to start a business; we are natural entrepreneurs. Our internal desire to create stuff combined with an attitude to risk that many others might try to subdue (‘don’t do that, it’s too dangerous’ comes to mind) makes us the perfect candidates to start companies. We’re great at spotting trends, we’re calm in a crisis and our out-of-the-box thinking enables us to see opportunities that others miss.
On 24th June, I joined AlbionVC for an informative and thought-provoking discussion about ‘The State of UK & European Healthtech in 2025’. The discussion was around what startups need to know about AI, investment, and infrastructure in healthtech today. Led by Partners Dr Molly Gilmartin and Dr Andrew Elder, it looked at the evolving healthtech investment landscape and offered insights for startups who are working in the world of AI and care delivery today.
As the saying goes, ‘there’s no need to reinvent the wheel’. If there’s a product or service on the market that already does its job well enough, then launching a competing solution might see you enjoy some success – particularly if you can improve or tweak it enough that you attract clients to your business rather than others.
Controversies over data, intellectual property, and licensing go hand in hand with generative AI (GenAI). The machine learning algorithms used by GenAI models require data to identify patterns and interdependencies that enable them to generate suitable responses to prompts. Therefore, volume and data quality are fundamentally important to the effectiveness of AI models.
We hear it constantly: automate, optimise, accelerate. Organisations across the globe are throwing themselves into workplace AI, chasing productivity and advantage. But as we embed these systems deeper into our businesses, we need to ask a harder question: what happens to the human heart of the workplace?
The year kicked off with an earthquake rattling the foundations of AI. Deepseek’s sudden arrival demonstrated there are multiple avenues in the advancement of super intelligence and drew the movers and shakers to weigh up software/algorithms versus banking on increases of model complexity or computational powers.
Across the world, numerous organisations operate as startup accelerators or incubators. These are often affiliated with universities, backed by governments at various levels, or sponsored by large corporations. Their primary objective is to support and nurture innovative new businesses. Large organisations frequently reach a scale where rapid innovation becomes challenging, making startups a vital source of new and groundbreaking ideas.









