Reading FC’s AI gamble could change football forever

When Reading FC appointed Stuart Fenton as head of AI, it marked a crucial turning point for UK sport. The League One club became the first professional football club in the UK to create a dedicated head of AI role, declaring itself as the spearhead of a technological shift that many believe will transform the sport over the next decade.

For Fenton, his role is about much more than introducing the latest technology trend to the football club. Rather, he intends to refine processes within the club that one might not initially jump to.

“Everyone thinks AI is like a light switch you just flip, and suddenly you’re a really clever team,” he tells FEED at SportsPro London. “But it’s not. You have to do a lot of data foundation work.”

We’ve grown used to repeated headlines about AI that focus on futuristic concepts and robot coaches – but there’s a lot more to it than that.

“It’s being the expert internally around what this actually means and how you translate it to football,” he explains. “How do you translate what could be perceived as a complicated technology into football talk?”

 

A growing concern

The appointment comes amid an explosion of AI investment across global sport. According to a report by Grand View Research, the global sports analytics market is expected to reach over $23 million by 2033. AI is becoming increasingly central to scouting, performance analysis, injury prevention and fan engagement. Major clubs across Europe already employ data scientists, machine-learning specialists and analytics teams. The notable difference in Reading’s approach was by putting AI leadership at executive level.

That decision reflects owner Rob Couhig’s ambition to make innovation part of the club’s identity. As Fenton puts it, the goal is simple: “We want it so that, when people think AI and football, they think of Reading first.”

The strategy is already taking shape, with Reading having recently announced partnerships focused on Vision AI technology, using advanced video analysis to identify patterns in matches, improve recruitment and accelerate tactical insights. This was evidenced by the club’s collaboration with AI company Score.

 

From top to bottom

Fenton sees AI changing everything from supporter communications to international fan engagement. “How do we hyper-personalise the messaging?” he asks. “How can you translate a story so a Reading fan in Portugal is going to get the same story as a Reading fan in any country in the world?”

This reflects another trend, where clubs are increasingly viewing themselves as media companies, competing for attention in a crowded digital marketplace. AI-powered content creation, translation and personalisation could all be factors that help clubs build deeper relationships with supporters while unlocking new commercial opportunities. But Fenton is equally clear about what AI should not become.

“It’s about how we augment people,” he says. “Not how we replace people.”

That philosophy runs throughout Reading’s programme. Since arriving at the club, Fenton has delivered AI education sessions across every department. Grounds staff, office workers, executives and players have all been involved.

“Our groundsmen have been in and done it as well,” he says. “From every level of the club, top to bottom, we’re educating them about what AI is.”

 

The great equaliser

Technology adoption in sport has historically been uneven – data analytics took years to gain acceptance in football despite transforming baseball and basketball long before. Even today, many clubs struggle to bridge that gap between technical specialists and football practitioners.

“You don’t want the AI to talk about the AI,” he says. “You want the human talking about its capabilities and possibilities.”

From Fenton’s point of view, the future of football is unlikely to be fully automated. The clubs that gain an advantage won’t necessarily be those with the most sophisticated algorithms, but those that successfully combine technology with human expertise.

“Data isn’t the advantage any more. It’s how you use and analyse the data.”

It’s clear that data has become democratised, with tracking systems, video analysis and performance metrics now available to clubs at every level.

“We still need to get out of the division,” Fenton says. “We feel like AI could be an equaliser.”

Whether that ambition leads to promotion remains to be seen. But regardless of Reading’s league position, the significance of the appointment already extends far beyond Berkshire.

Check out the rest of the June 2026 Signal here!