Reed Shaffner: Football's AI moment - promise and pitfalls
Our guest on Episode #81 of the TGG Podcast is Reed Shaffner, Chief Technology Officer at Teamworks. Reed oversees the engineering, design, product and data science teams behind a platform used across professional and collegiate sport. In this Episode, Reed told us where AI is genuinely working in football and where it isn't; warned about the security and privacy risks some clubs are underestimating; and explained how Teamworks Player ID is learning to identify how good a player will become, versus how good they look today. SHOW NOTES => 0:00: Introduction 1:39: Reed's role at Teamworks, and his route in through gaming and youth sport 3:17: What AI actually is — beyond the buzzword 5:42: How widely is AI being used in football? 6:45: Where it works well, and where it doesn't 7:25: Injury prediction — why the returns are still questionable 8:24: Hallucinations, and the two athletes who didn't exist 10:20: Case study: the NFL's Digital Athlete platform 11:28: Data quality, process and the role of human expertise 12:53: Privacy and security — what should never go into a model 14:12: It's not just medical data: contracts and schedules 14:43: The questions to ask any AI vendor 15:42: Data poisoning and the fabricated eye condition 17:32: Skills as a new attack vector — and what a skill is 18:49: Build or buy: what clubs are making themselves 19:41: Scout bias detection, and Kahneman on human bias 22:00: The rise of the 'head of AI' job title 22:50: Is US sport ahead of UK football? 23:27: Tracking data, and will AI mean fewer analysts? 25:26: AI inside the Teamworks products: from reactive to proactive 28:02: Player ID — what to do when metrics disagree 29:50: Predicting how good a player will become, not how good they are now 31:11: Bespoke clubs and individualised training 34:17: The future: cameras, youth football and undiscovered talent 36:04: Worries and fears: attackers, deepfakes and social engineering 38:01: Speaking at TGG Live '26 at Old Trafford