The impact of new technology & AI in sports: LaSource’s main takeaways from SportsInnovation 2026
SportsInnovation called the curtains on yet another landmark event last week. The DFL’s flagship event, organised once every two years, where groundbreaking technologies, fresh perspectives, and immersive experiences meet, is presented by the people shaping the sports of tomorrow.
Since the conference first kicked off in 2018, LaSource has been a regular on the guest list, and this year was no exception. We even made it to the next step, joining the event as Platinum Plus partners with our own booth at Düsseldorf’s Merkur Spiel-Arena. We also came in as a team with our four partners, Samuel Westberg, David Gonçalves, Jean-Baptiste Alliot, and Leander Monbaliu, our VP of Sales & Partnership, David Eccles, and our Head of Marketing & Sports Tech Services, Alexandre Kandelaft.
This year's edition was even more special as we did not arrive alone. Six of our tech startup partners, LiveLike, CAMB.AI, ReSpo.Vision, Fastbreak AI, LIGR Live, and GAMECODE.Ai joined us. For us at LaSource, it was the first time having such a booth on site. We really wanted to create a space to involve our partners and build synergies, a space where they can showcase their products and where people can come for many reasons, a space to share our views about the latest trends, explore what's being done on the market and how our clients' technologies are transforming the industry and much more.
The main storyline - AI in sport: doing more with less, but not everywhere and not without structure
If one theme stood out at SportsInnovation this year, it was the growing maturity of AI across the sports industry. AI is no longer being framed as an emerging concept; it is becoming a practical layer across the ecosystem, influencing fan experience, performance, operations, and decision-making.
What felt most important, however, was not the excitement around AI itself, but the quality of the conversation around it. The strongest perspectives were not about using AI everywhere, but about using it where it can create real value. AI will not replace people, but it will enable organisations to do more with less. At the same time, its growing power makes human oversight, validation and governance even more critical.
To us, that balance between automation and control is where the real story lies. In sport, the challenge is not simply to adopt AI, but to define the right use cases, understand the underlying problem and build the right structure around deployment. The organisations that will lead are those that treat AI not as a shortcut, but as an accelerator embedded within disciplined processes.
Fastbreak AI is a strong example of this in practice. Its scheduling and optimisation technology helps leagues, teams and performance departments solve highly complex planning challenges through automation, while keeping human verification central to the process. The result is not AI for its own sake, but AI applied with purpose and precision.
The DFL reinforced this message through a strong series of case studies, showing how AI can be deployed in clearly defined, high-impact ways when paired with the right partners and strategic clarity.
For us at LaSource, this felt like an important signal. The next era of sport will not be shaped by technology alone, but by how well the industry connects innovation with structure.
Embracing technology & data is essential to be more competitive
Another clear takeaway from SportsInnovation was that becoming more competitive is no longer about simply adopting new technologies. Across sport, the market is now crowded with solutions spanning performance, operations, fan engagement and commercial workflows. Access is no longer the differentiator. The real challenge lies in turning those inputs into decisions that improve how an organisation actually works.
That only happens when organisations start with clarity. The first step is not implementation, but identifying real needs, prioritising the most valuable use cases, and involving the right teams across the business from the outset. Without that alignment, even the most advanced tools risk remaining confined to dashboards, disconnected from the workflows and decisions they are meant to improve.
The second condition is just as important: technology only creates value when human resources are allocated around it. Automation and AI can reduce manual workload, but they do not remove the need for people. Organisations still need the right individuals to operate systems, interpret outputs, challenge assumptions and translate insights into action. And that only happens when technology is solving a meaningful problem. When it does, adoption strengthens, value becomes visible, and a virtuous circle begins to form between tools, teams and outcomes.
This is particularly true in sports performance. Clubs and performance departments now have access to more data than ever before, including tracking and video data, physical outputs, and tactical analysis. But competitive advantage does not come from collecting more information. It comes from turning that information into insights that genuinely support coaching, preparation and performance decisions.
This is where partner selection becomes critical. In an increasingly crowded market of AI-driven and performance-focused solutions, the real value comes from choosing partners that help embed technology into the day-to-day reality of sporting decision-making, rather than simply adding another layer of analysis.
That is exactly the role we aim to play. We work closely with a curated portfolio of companies that help sports organisations translate innovation into practical value. Gamecode.AI, for example, enables clubs to move beyond standard analytics by building custom data structures and algorithms that reflect their own playing identity. ReSpo.Vision, meanwhile, makes advanced performance intelligence more accessible by extracting tactical and physical insights directly from broadcast video.
In both cases, the value is not just in the technology itself, but in how it helps clubs integrate insight into everyday football decisions. The broader lesson is clear: the organisations that will pull ahead will not necessarily be those with the most tools, but those most capable of aligning needs, people and technology around clear, high-value performance challenges.
Operational efficiency is becoming a strategic growth lever
Our third takeaway is closely connected to the first, as some of the biggest inefficiencies in sport still lie in the least visible parts of the workflow: manual processes, fragmented systems, and resource-heavy operations.
For years, this has been true in the sports production landscape. Delivering high-quality output often required large teams, expensive infrastructure and budgets that only the top end of the market could justify. That is now changing. Automation, centralisation and AI are starting to remove long-standing bottlenecks across sports media and production. Their value is not only in reducing cost, but in expanding what organisations are able to do.
They allow rights holders, leagues and broadcasters to produce more content, operate more efficiently and increase their scope without proportionally increasing resources. This shift is especially important for organisations outside the top tier. For many of them, technology is making high-quality production and distribution financially viable in ways that were previously out of reach. That creates a meaningful opening: not just to improve efficiency, but to scale coverage, reach new audiences and explore new formats and monetisation opportunities across platforms and markets.
The real question, then, is not whether automation has a role to play, but which partners can genuinely unlock that value. In a crowded market, the most relevant technologies are those that reshape operations in ways that make organisations more scalable, agile and commercially effective.
This is a shift we see firsthand at LaSource through the companies we work with across the ecosystem. And we had the opportunity to explore this topic on stage with CAMB.AI and LIGR Live, two companies addressing different but equally important production challenges.
CAMB.AI is helping solve one of the biggest barriers to global sports distribution: language. By enabling AI-powered localisation of live and on-demand content at scale, it allows rights holders and media organisations to reach audiences in their native language and open new markets more efficiently.
LIGR Live, meanwhile, is tackling the production side by making broadcast-quality graphics and content creation far more accessible through a cloud-based platform. Together, they reflect a broader industry direction: using technology not only to streamline operations, but to make growth more achievable and more sustainable.
The broader takeaway is clear: in sports media, efficiency is a strategic lever for expansion, accessibility and long-term value creation.
Finally, cross-sport knowledge exchange has been a strong driver at the event
Our last takeaway from SportsInnovation is the growing importance of looking beyond football to understand where the next wave of innovation may come from. One of the most interesting aspects of the summit was the DFL’s openness to bringing in other sports to share how they are approaching change, particularly on day two, when leagues such as the NBA and NHL highlighted recent initiatives and the way they are deploying new technologies across their ecosystems.
That matters because, while football remains the world’s biggest sport commercially and culturally, some of the most advanced approaches to innovation are being developed elsewhere. In markets where other sports dominate, leagues have often moved earlier or more decisively in areas such as data infrastructure, media operations, fan engagement and organisational workflows. What stood out was the way those tools have been embedded across multiple functions in a coherent, strategic way.
For football organisations, that is an important reminder. Innovation does not need to originate within football to be valuable to football. Many of the challenges faced by clubs, leagues and rights holders, whether around performance, production, operations or engagement, are not unique to one sport. Looking at how others solve similar problems can help leaders move faster, think differently and avoid reinventing what already works elsewhere.
More broadly, this points to something bigger. The future of innovation in sport is likely to depend more on knowledge exchange across ecosystems: between sports, between markets and perhaps eventually between industries. If valuable ideas can already come from basketball or hockey, there is every reason to believe that future breakthroughs may also be informed by sectors such as healthcare, aerospace, or advanced manufacturing, where data systems, simulation, and decision-making under pressure are already highly developed.
The lesson we take from it here is that the organisations that will lead will be those most open to learning from external sources. In that sense, cross-sport exchange is a true part of how progress happens.