The sports media landscape is under enormous pressure. Fan expectations are higher than ever, content volumes are exploding, and audiences are now global – spanning time zones, languages and platforms. The question media teams in sport are grappling with isn't whether AI will change things. Clearly it already has. The real question is: is AI on your team, or is it playing against you?
That was the central theme of a recent Trint webinar, where our VP of Sales & Success Ronald Mawad and Business Development Representative Luis Abanda explored how AI is reshaping sports media. From the press conference to the content vault, here are the five key ways AI is changing the game.
Speed is now a competitive advantage in sports media. Fans are increasingly consuming games through highlights rather than full broadcasts, driven particularly by younger generations. That means the window to capture attention is shrinking and the pressure to publish first is immense.
In a world where La Liga posts around 260,000 times per year across its channels, and clubs like Real Madrid have over 170 million followers hungry for real-time updates, manual processes simply can't keep pace. Luis described speaking to a team of four to seven people where one person spent their entire working day just converting audio and video to text – a significant bottleneck that AI can eliminate.
"Gone are the days where somebody would sit for hours listening to interviews. They're looking for ways to be able to deliver things faster in a more efficient way."
- Luis Abanda
AI-powered transcription tools are enabling teams to go from hours to seconds. Ronald cited the NBA as an example: AI can now generate an 80% complete first draft of a highlight package almost instantly, allowing media teams to focus their time and creativity on the remaining 20%. That’s the polish, branding and editorial judgement that makes content stand out.
"80% AI can get you there. It's that 20% and being able to polish it off and get that to your fan base quicker than ever before."
- Ronald Mawad
One North American sports team described using real-time transcription tools during games to interview fans in the stands while a colleague in the media room simultaneously generated social posts from the live transcription. The result: content published within seconds of the moment happening on the field.
Modern sports rosters are international by nature and so are modern fan bases. Top Premier League and La Liga clubs can have players speaking five, six, seven or more languages. Reaching those fans in their own language is no longer a nice-to-have – it's a growth strategy.
Luis recalled speaking to a major European club that was already publishing around 13,000 posts per year across channels and wanted to triple that – targeting new audiences in French-speaking Africa, Southeast Asia, China and Japan. Manually translating content at that scale would be impossible without a dedicated (and expensive) translation team.
"The next hundred million fans don't need a new sport. They just need your content in their language."
- Ronald Mawad
AI-powered automatic language detection and translation tools are making this a reality. Ronald described how Trint’s own AI tools can detect when an interviewee switches from English to their native tongue mid-sentence, transcribing and translating in real time. This edge enables clubs to publish in multiple languages almost immediately after a press conference ends.
"Things like automatic language detection — tools now that allow you to be able to turn that conversation straight away into the language that you decide because they are able to detect automatically the language. They are massively helpful for people who work in media communications."
- Luis Abanda
The ability to generate translated subtitle files (SRT), localized social captions and even AI-dubbed audio opens up entirely new audience segments – all without the delays and costs of traditional agency translation workflows.
Most major sports organisations are sitting on a goldmine they can't easily access: decades of archived footage, interviews, press conferences and match commentary. The challenge has always been discoverability. Without the right tools, finding a specific quote from a manager's interview 10 years ago could take hours of manual scrubbing.
"Without being able to access it, they don't have a way to access it unless you're going to sit for 10,000 hours of your life, being able to find a specific thing that was said in a particular video 25 years ago."
- Luis Abanda
AI is changing this fundamentally. By indexing archived content with transcriptions and enabling semantic search, organizations can now find specific moments, quotes, or clips in seconds. Ronald gave a vivid example of what this looks like in practice: imagine being able to search “show me all footage of the time Brady threw the winning touchdown to Edelman in the 2017 Super Bowl” and having it surface instantly.
The value here extends beyond internal efficiency. Luis described working with an organization producing a documentary about their club's history, who needed to sift through thousands of hours of archive footage to find the right interviews and moments. With AI-powered search, what could have been months of work became manageable. Organizations can also monetize their archives, offering fans exclusive access to historical content through subscription models.
"It's not about the transcription, it's about what that transcription unlocks for you in today's game."
- Ronald Mawad
Formula One and the NHL are two examples of leagues already doing intensive archival indexing, enabling granular search across every moment of every clip in their history.
AI is not just changing how quickly sports content is produced – it's changing the type of content that's possible. From in-depth player performance analytics to interactive stats overlays, AI is enabling a level of content richness that was previously reserved for broadcasters with large production budgets.
Luis reflected on how fan conversations have been transformed by data: detailed breakdowns of distance covered, pace maintained and areas of the pitch occupied are now regular talking points among fans not just analysts. This data-driven content creates new storytelling opportunities for clubs and media organisations alike.
"Being able to see things like specific data about how the player has performed in the game, what the rate of pace that they've been achieving during the game is, what distance they've covered — all those things are a talking point now on a weekly basis."
- Luis Abanda
Beyond stats, AI tools are offering fan engagement analytics to help organizations understand what content is actually resonating with their audience, so they can refine their strategy in real time. Content quality and speed are interlinked: once fans experience faster, richer content, their expectations shift and there's no going back.
"Once you do it once or twice and the fan base starts loving how quick it is, you really can't slow down after that."
- Ronald Mawad
The competitive pressure is no longer just from rival clubs or leagues. Influencers and independent content creators are now competing for the same audience attention – often with surprising effectiveness. Clubs and leagues need AI to remain competitive in an increasingly fragmented media landscape.
With every opportunity AI presents, there are risks and sports media teams are becoming increasingly aware of them. The use of AI to fabricate content is a growing concern. Ronald pointed to examples of fake AI-generated post-match press conferences circulating on social media, with deepfake quotes from coaches and players being shared as real.
"There's so many times where you see fake post-match conferences of the coaches, the manager, the players saying things that just really are not true. They were never said."
- Ronald Mawad
At the organizational level, data privacy is equally pressing. Clubs may have sensitive internal meetings, confidential strategy discussions and proprietary footage that they have no interest in contributing to a third party's AI training data.
"If you're not paying for … the product, you are the product. And in this case with AI, that's the majority of the ones that are out there."
- Ronald Mawad
Both Ronald and Luis emphasized the importance of carefully vetting any AI vendor. Not just for functionality, but for data practices. Key questions organizations should ask include: Does the vendor use your content to train its models? Where is your data stored? Do they meet regional compliance requirements such as GDPR? Are they transparent about how their AI works?
"It's also worth looking into if whatever you're using, whatever you are intending to use, is actually in line with those legal requirements and what makes sense for your organizations."
- Luis Abanda
With Trint’s own strict security policies around AI use and development, Ronald and Luis were able to speak from experience suggesting that sports organizations need to move from “how do I move fast and automate?” to “how do I move fast but stay compliant?” A reflection of how quickly the broader AI conversation is maturing in professional sports.
AI is no longer a future consideration for sports media. Whether it's publishing highlights in multiple languages seconds after the final whistle, unlocking decades of archived footage for a documentary, or ensuring fan-facing content is high quality and authentic, those embracing AI thoughtfully are gaining a significant edge.
But 'thoughtfully' is the operative word. As Ronald and Luis made clear throughout the webinar, adopting AI is not just about what a tool can do – it's about whether it aligns with your organization's values, your data governance requirements and your long-term strategy.
"It goes beyond what the product itself is capable of doing, but really does it align with everything else that you stand for — not only as an individual, but where your club or your organization's beliefs are."
- Ronald Mawad
The game has changed. The question is whether your team is ready to play.
