Why SportsPro New York 2026 Is the Right Stage for AI Sports Broadcasting
SportsPro New York is where the global sports industry comes to do business. With over 850 decision-makers under one roof - including executives from the NBA, MLB, WNBA, MLS, WBD Sports, Paramount, and NASCAR - it is one of the most concentrated gatherings of sports media, investment, and technology leaders anywhere in the world.
The 2026 edition takes centre stage at the Marriott Marquis, Times Square, on 12–13 March, with dedicated tracks covering AI, Media, and Investment. The AI track in particular reflects a broader shift: artificial intelligence is no longer a future conversation - it is an operational reality that forward-thinking organisations are already deploying at scale.
That is exactly the conversation Zentag AI was built for. We are attending SportsPro New York 2026 to meet the teams building the next chapter of sports media and to show them what is now possible when AI is embedded directly into the content production workflow.
How AI Video Tagging Improves Sports Video Search, Editing, and Automated Highlights in Real Time
At the heart of Zentag AI's platform is a powerful AI video tagging engine that transforms how sports footage is indexed, searched, and turned into publishable content. Traditional sports production teams spend hours manually scrubbing through footage to find the moments that matter. Zentag AI eliminates that bottleneck.
By automatically tagging every frame of live and archived footage - by player, action, event type, score state, and emotional intensity - the platform makes any moment findable in seconds. Editors can search for "third-quarter comeback," "penalty save," or "game-winning touchdown" and instantly surface the right clip, without ever touching a timeline.
At SportsPro New York 2026, Zentag AI will be demonstrating its full suite of AI-powered sports content solutions:
AI Sports Video Highlights - automatically identifies and packages dynamic highlight clips from live matches within seconds, so broadcast and social teams can publish the moment the final whistle blows.
Smart Live Recap - transforms key plays into instant, narrated summaries that keep fans informed and engaged throughout the game, even when they cannot watch every minute live.
AI Reframe - intelligently adapts widescreen footage into vertical and square formats for Instagram, TikTok, and YouTube Shorts, with no manual editing or additional production resource required.
Archive Media Management - makes legacy footage fully searchable and monetisable by applying the same AI tagging layer to historical libraries, unlocking content value that has been sitting dormant for years.
Streamlining Production Workflows for Broadcasters, Leagues & Teams
The pressure on sports content teams has never been greater. Fans expect instant highlights across every platform. Social algorithms reward speed. Sponsors want platform-specific activations. And production budgets are not growing to match the demand.
Zentag AI addresses all of this simultaneously. By automating the most time-intensive parts of the content production process - tagging, clipping, reframing, and distributing - teams can do more with the same resources, publish faster than ever before, and redirect human talent toward the creative decisions that actually require editorial judgement.
Together, these innovations empower organisations to:
Cut time-to-publish from hours to seconds for live match highlights.
Scale social content output across multiple platforms simultaneously without adding headcount.
Personalise fan experiences with on-demand highlight packages tailored to individual viewing preferences.
Open new sponsor inventory through platform-native content formats that command premium rates.
If you are attending SportsPro New York 2026, come and meet the Zentag AI team (sales@zentag.ai). Discover how AI in sports broadcasting is redefining what is possible for media workflows - and how it is unlocking entirely new revenue opportunities without adding complexity to your production pipeline.
