Recently, the sports world has seen a rapid integration of Generative AI. Generative AI has turned from a novelty to a necessity. In a recent Deloitte survey, Pete Giorgio noted that businesses are in the “first inning of a thousand-inning game” with Generative AI. For sports organizations, the risk of falling behind is real, making it critical to seize this opportunity before competitors leave them in the dust.
Why Sports and Generative AI are a Perfect Match
The sports world is perfectly positioned to benefit from Generative AI because of the massive volume of data it collects. Giorgio highlights the increase in connected devices, pointing out that “the number of connected Internet of Things (IoT) devices is estimated to grow to 40 billion by 2030” (Forbes). This enabled sports organizations to(need a verb here) massive networks of actionable data. While leveraging this new volume of data also requires more compute power and new models, a solid foundation is in place for generative AI to thrive.
Where can Generative AI Make an Impact?
Where can Generative AI make the biggest splash? As Giorgio notes, it is great for improving productivity and efficiency across day-to-day operations (Forbes). Generative AI can also be used in many other areas of AI. Fan experience matters for sports organizations, and AI can deepen those profiles and improve engagement with fan bases. For example, IBM and Wimbledon used an AI-powered assistant app (Match Chat) to answer fans’ questions using live match data.
Generative AI is also a massive driver of revenue growth. It allows sales teams to focus more on consumer habits and create more personalized marketing campaigns. For example, many companies target consumers based on their favorite player and send highlight notifications or brand ads they’ll like. Furthermore, Generative AI helps speed up content creation and video editing that would take humans hours.
Ultimately, these efficiency gains boost overall productivity and profit margins. According to Deloitte’s survey data, 75% of respondents expect to increase spending on AI, and many companies are already beating ROI standards. The combination of rising investment and early adoption has proven successful.
Employee Advancement
While tools and strategy set the base, lasting success depends on educating employees on the technology. AI tools are only effective if the people operating them know what they are doing. Organizations should work with experts to identify the highest-value AI opportunities. This will help capture Generative AI’s full potential and help avoid missed opportunities. Continuous education is also important as AI changes and new models emerge. By fostering an adaptable learning culture, sports organizations can integrate new AI features as they emerge and ensure employees understand each technological advancement.
How Organizations Should Get Started
To capitalize on AI, organizations must invest in more than technology. Giorgio stresses that investing in AI is not just a technological purchase; it is a long-term enterprise project. True value emerges only when technology is paired with strong culture, coordination, strategy, and innovation. Generative AI is a powerful tool to build on a strong foundation.
