Introduction
AI in Sports: From Noise to Action is not just a catchy phrase; it’s a reality many sports executives are grappling with. As Amir Raveh highlights, AI in the sports industry is akin to a much-discussed but under-implemented concept. The potential is vast, yet the application remains elusive for many.
A senior executive of a leading German sports club once told me, ‘AI today is like sex when you’re a teenager. Everyone talks about it, but nobody actually does it.’
This sentiment, while humorous, underscores a significant challenge within the industry: the need for a practical framework to harness AI effectively.
Challenges in AI Implementation
Walking in the Dark
Sports leaders are accustomed to making critical decisions daily, yet AI introduces an element of uncertainty. They are confronted with questions like:
- Where can AI save costs in stadium operations or ticketing?
- How can AI reduce injuries or optimize player performance?
- Which processes can AI streamline to free up resources?
- How can AI drive revenue growth through fans and sponsors?
These are not trivial questions but essential considerations for any leader venturing into AI.
Testing, Not Watching from the Stands
Progress requires action, not theory. Organizations must engage in testing to explore AI’s full potential. Testing allows for learning and development, providing insights into what works and what doesn’t.
Successes and failures are both valuable, offering lessons that can guide future AI strategies.
Developing a Roadmap for AI
From Noise to Roadmap
The noise surrounding AI can be overwhelming. It is crucial for leadership to define the big questions:
- Where are the financial leaks?
- Where are the untapped growth levers?
- How can AI enhance performance?
By defining these, organizations can create a clear action plan for the next 12 months, focusing on achievable goals.
Start Small, Scale Fast
Begin with one or two tests that offer clear ROI potential. Execute well, measure results, and use the insights gained to scale efforts across the organization.
Educating the Team
AI readiness extends beyond technology to encompass cultural readiness. Teams need to understand AI’s potential and how to integrate it into their workflows.
Looking Beyond 2025
By 2026, AI will be a standard tool in every club’s arsenal. The true differentiator will be the ability of leadership to define important problems and ensure AI serves the organizational vision.
The winning organizations will not be those with the most algorithms, but those with the clearest human leadership.
With love for sports and innovation,
Amir
