A new BMJ Open paper highlights an important problem: fluent answers are not always accurate answers. People are turning to chatbots like ChatGPT and Gemini to get health advice, athletes and practitioners use it to get nutrition advice or updates… or performance advice. But how reliable are these chatbots when the topic is health, nutrition or performance? I was fortunate to be part of a group of established researchers that aimed to address exactly that question. In a stud

The emergence of artificial intelligence (AI) in sport has not only transformed workflows; it has triggered an emotional response. Excitement, curiosity, scepticism and fear coexist in equal measure. Among nutritionists, coaches, sport scientists and performance staff, one question has come to dominate the discussion: " Will AI replace sports practitioners?". The question is understandable. When software can automatically generate fuelling plans, detect performance trends o

Over the past decade, sports nutrition has quietly become one of the most technologically driven areas of performance support. Sports nutritionists, sports dietitians and athletes now interact with artificial intelligence (AI) every day, often without realising it: readiness scores pushed to their phones upon waking, automated messages interpreting training data after a ride or run, and wearable-generated summaries telling athletes whether they recovered “well” or “poorly.”

Artificial intelligence (AI) has rapidly become one of the most frequently referenced concepts in high-performance sport. It is discussed in recruitment, in training planning, in tactical decision-making, and increasingly in sports nutrition. Yet although the term is used widely, the understanding of what AI is, how it works and what the underlying mechanisms are, is often limited. To practitioners sitting in the applied performance space (coaches, sport scientists, nutrition