Mobile World Congress - AI gets real and other key takeaways from MWC
1. AI as a tool for growth
The conversation about AI is clearly shifting - from “where can we save?” to “how can we grow?”.
For the past couple of years, much of the focus has been on experimentation and efficiency. That’s still happening. But we are now starting to see organisations generate genuine returns from AI investments.
Some enterprises are operationalising AI in ways that go well beyond productivity gains - embedding it into products, services and decision-making.
That aligns with PwC research showing 81% of UK CEOs are doubling down on AI, data and cloud to drive growth.
But as organisations push further into AI, there’s a growing realisation among Chief Data and AI Officers - and CIOs - that the traditional way of making technology choices is no longer fit for purpose.
The pace of change is simply too fast.
Businesses increasingly need a plug-and-play approach to AI models - selecting the right LLM for the right task and being ready to swap or upgrade quickly as the landscape evolves. Do we need continuous sourcing for technology and AI?
Another important shift is employee-led adoption. Organisations that empower and harness the power of their people to experiment with new AI tools and models often move faster and unlock more value. The key, of course, is putting the right governance, controls and monitoring (of model behaviour) in place so that experimentation happens safely and responsibly.
2. Europe’s sovereign opportunity
Another big theme at MWC was digital sovereignty where I also had the privilege of hosting an ecosystem panel spanning software, AI, platforms, IT managed services & communications, real estate and data centres, and AI chip manufacturers.
There is growing recognition across Europe that developing local capabilities in AI, cloud and data infrastructure is becoming strategically essential.
This creates a major opportunity for Europe and the UK to regain momentum in the digital, software and AI economy - particularly with trillions expected to be invested globally in digital infrastructure over the coming 5 years.
This push for sovereign capabilities could accelerate growth across a wide ecosystem - from neo-cloud providers and AI platforms to data centres and infrastructure specialists to real estate and off-grid power providers.
For telecom operators, this could also open up new ways to repurpose legacy infrastructure and play a larger role in the digital stack.
But capitalising on this opportunity requires more than ambition.
It requires the right regulatory environment, market structures and investment conditions that create confidence – and, critically, a strong and connected ecosystem that builds power systems, infrastructure, software and AI capabilities.
If those pieces come together, the UK and Europe have a real chance to unlock a new wave of innovation and economic growth.
3. Start-ups pushing the bounds - and purpose - of the possible
Innovation was on full display through the European Innovation Council’s showcase of start-ups tackling some genuinely fascinating challenges, many of which were focused on helping save lives and improve quality of life.
The winning start-up demonstrated technology that uses data from connected devices in the home to detect early signs of cognitive or physical health decline.
Second place went to a company developing a new way of distributing power using quantisation - potentially enabling multiple devices to receive electricity without physical cabling. Getting this right could be genuinely game-changing for the world of electric mobility and IoT that we’re heading into.
Both examples highlight the strength of deep-tech innovation emerging across Europe - and the important role start-ups will play in shaping the next wave of technology and powering wider economic growth.
4. Quantum edges closer to reality
A technology that feels closer than ever to practical reality - quantum computing.
Across the event there were multiple “quantum chandeliers” and quantum demonstrations showing how rapidly the field is advancing.
We’re not quite at full commercial maturity yet. But the direction of travel is clear - and the pace of progress is accelerating. Quantum is moving from theoretical promise to tangible capability and, when combined with AI, the applications in pharmaceuticals, healthcare and financial services will be game-changing.
5. Physical AI - from large language models to real-world models
Large language models have transformed digital work - from customer service and software development to marketing and financial analysis.
But in the real world: a factory floor, into a power plant or a warehouse - and the opportunity for AI looks very different.
The physical world doesn’t communicate in text. It operates through visuals, movement, vibration and in changing environments and with human interaction. Making decisions in these settings requires AI that can interpret real-world signals and act safely in dynamic conditions.
This is where Physical AI comes in.
Physical AI systems combine data from cameras, sensors and connected devices with models that understand space, motion and context. By bringing together language models, world models and real-time connectivity, we will start to see machines and robots that understand where they are, and how they operate to understand reason, risk, time and safety.
One start-up we encountered at the European Innovation Council’s showcase was a robotics start-up using wearables for workers to record and generate the next generation of physical training data - helping machines learn how real environments behave.
This also points to the growing need for new observability capabilities. As AI increasingly makes decisions in both digital and physical environments, organisations will need to understand how those decisions are made and ensure they are transparent, auditable and safe.
Success will depend not just on the intelligence itself, but on the ability to see what the AI sees, understand its reasoning and continuously improve it while maintaining safety and compliance.
In many ways, this becomes IT for running AI - and AI for running AI.
Physical AI may well mark the point where AI moves from transforming digital work to transforming the physical world.
So those are my five key talking points from MWC – I’d love to hear what you think. Please get in touch and connect with me on LinkedIn.
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