AI is showing up across multiple business functions.
The eight-example pilot sample shows AI and automation deployed across at least five business-function classes: operations/reporting, workforce productivity, fan/marketing intelligence, ticketing/revenue, and content/media production.
Several examples explicitly target manual work or fragmented data, including NFL incident reporting, Seahawks digital-media workflows, and USL data collection and cleansing.
Fans, content and revenue.
Fan engagement and personalization recur across the NBA, Mariners, Seahawks, and PGA TOUR examples, while the Giants example connects AI to ticketing and revenue optimization.
The pattern is augmentation before replacement.
Within this intentionally small, non-representative pilot sample, the clearest recurring business pattern is augmentation of existing workflows — organizing data, reducing repetitive work, scaling content, personalizing engagement, and supporting revenue decisions — rather than replacement of whole business functions.