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Do you remember the last time you deliberately searched social media for a new sport to follow? Probably never, right?
The social media game is reversed. The sport finds you, especially when you doomscroll, and the algorithm serves everything on your plate. A horse racing video might pop up with a dramatic finish; you rewatch it, and the next day all you’re seeing is horse racing content.
Platforms like TikTok, Instagram, Facebook, and YouTube are increasingly driven by artificial intelligence and machine learning systems that recommend content based on what individual users watch, skip, replay, share, or interact with. And horse racing brands are beginning to understand that this changes how new fans can be created.
So, the goal is not simply to persuade people to follow a certain sport or account. It is to create something interesting enough that the algorithm introduces.
AI Is Already Choosing Who Sees the Horse
Have you ever thought about how social media algorithms work? TikTok’s famous For You feed is built around a recommendation system that evaluates signals such as what users watch, interact with, and indicate they dislike. The feed is therefore different for almost everyone.
Instagram, Facebook, and YouTube are working on similar principles. Meta said in early 2026 that AI improvements to its recommendation systems were increasing the amount of timely and original material appearing in feeds and Reels.
This is really important for a sport like horse racing.
Think about it. Historically, racing marketing largely reached people who were already somewhere near racing. But that’s not the point today. The sport needs new fans; social media is perfect for getting new faces hooked on the sport.
So, AI is powering platform algorithms and content creation or editing, which means that the entire social media system relies on artificial intelligence.
Let’s take the Breeders’ Cup Classic as an example. This is one of the most popular races in the United States, and yet they still have an Instagram account with close to 200K followers, TikTok with 72K followers, and YouTube with 65K followers. They are using the algorithms and organic growth on social media platforms to promote the event, and it works.
The Breeders’ Cup Classic has never been more popular. This includes new casual fans, people who will likely place a bet, and people who will actually go to Keeneland after seeing a couple of reels.
Brands Learned to Tell Stories Made for the Feed
One organization that has leaned heavily into this style is TwinSpires, or America's Best Racing, the national fan-development and marketing platform operated by The Jockey Club.
Its 2026 Kentucky Derby campaign produced more than 150 million video views across TikTok, Instagram, Facebook, YouTube, and X, according to The Jockey Club. The campaign focused heavily on original digital storytelling rather than simply publishing traditional race previews.
Social platforms reward moments.
A trainer reacting emotionally to a Derby victory can work. A horse behaving unexpectedly in the barn can work. A jockey explaining something in 30 seconds can work. A beautifully filmed morning at Churchill Downs can work.
A six-page explanation of allowance conditions may struggle slightly.
America's Best Racing has also experimented with putting social media creators inside the sport rather than merely asking them to advertise it.
One of the clearest examples involved creator Griffin Johnson, who became a part-owner of the racehorse Sandman through ABR's A Stake in Stardom initiative. He also was awarded the 2025 New Owner of the Year. Johnson already had millions of followers across social platforms, and his audience was able to follow Sandman's development from an unraced two-year-old through his road to the 2025 Kentucky Derby.
Creators Can Explain Racing Without Looking Like They Are Explaining Racing
The creator model is becoming especially useful because horse racing has an accessibility problem.
Experienced fans casually use phrases such as "pace scenario," "breezing," "maiden special weight," "stalking trip," and "graded stakes" as though these are things every human learns in primary school.
They are not.
Social creators can translate that world naturally because their job is usually not to deliver a formal lesson. They are showing the experience.
AI Is Making Short-Form Content Easier to Produce
Artificial intelligence is also changing the production side.
TikTok introduced Smart Split in 2025, an AI-powered tool capable of taking longer videos and automatically turning them into shorter clips by reframing, captioning, and transcribing the footage. Its broader Symphony suite includes generative tools for producing and adapting video content.
For racing organizations, that has obvious applications.
A ten-minute jockey interview can become several short videos. A lengthy morning-workout feature can produce individual clips about particular horses. A press conference can be captioned quickly for mobile viewing.
AI Translation Could Make Racing Much More International
Another interesting development is automatic translation.
Meta says hundreds of millions of people are already watching videos translated using its AI tools, with AI dubbing available across multiple languages and further expansion planned during 2026.
Horse racing is unusually well suited to this.
The sport is international, but its audiences often remain separated by language. Japanese racing fans follow Japanese horses. British fans consume British racing media. American fans follow Saratoga and the Triple Crown.
Final Thoughts
Artificial intelligence may help horse racing reach younger fans, and ultimately, that’s the only thing that the sport needs at the moment. Horse racing already ticks all the right boxes. It is exciting, it is adrenaline-rushing, it has culture and history, and AI is here only to analyze everything, serve content, and get more people to join the journey.
It would be interesting to see where the sport will move into the future.