Jack Williams on iTero, Giant X, and the Future of AI Coaching in Esports

In a recent interview, Jack Williams – a figure standing at the intersection of artificial intelligence technology and professional esports – shared sharp insights into a rapidly evolving coaching ecosystem. It is no coincidence that iTero is mentioned alongside Giant X in a context where Europe's top teams are seeking competitive advantages through intelligent analytics tools. The conversation between Williams and journalist Ollie – who once expressed a desire to replicate Natus Vincere's feat at gamescom 14 years ago – raised questions that are not easy to answer: Who owns coaching data? Are competitive advantages skewed by exclusive contracts? And where exactly does the line between analytical support and cheating truly lie? The first part of the interview focused on the exclusive partnership between iTero and Giant X – a team believed to have emerged from the merger of Excel Esports and Giants Gaming, currently competing in the LEC, the premier regional league in EMEA under Riot Games' League of Legends ecosystem. This is one of the first agreements in Western esports where an AI technology company signed an exclusive contract with a professional esports organization. According to industry experts, in a franchise-style league system like the LEC – where teams are permanent members with no relegation pressure – structural advantages such as exclusive ownership of an AI analytics tool will persist across multiple seasons rather than being competed away. This raises a serious governance question: Does the publisher need to intervene to ensure competitive fairness, or should the market self-regulate? Williams did not dodge the most sensitive issue: whether iTero could be copied. He acknowledged that in an industry where most coaching staff are still building analytics solutions from scratch, the technical signals of an AI product are often easier to imitate than people think. This is not a theoretical question – it has already happened at various levels within the esports community over the past five years as coaching assistance tools have become more widespread. The second part of the article delved deeper into the debate on AI-assisted cheating – a topic tournament organizers have begun to confront as artificial intelligence technology has become more powerful and accessible. A crucial distinction must be made: real-time in-game assistance is already unambiguously prohibited at every major tournament – there is nothing to debate there. But the real grey zone lies in the between-game window of a BO3 or BO5 series, where teams are permitted to consult coaches and analytics tools. Williams argued that delineating the legal boundaries for AI coaching must outpace the speed of technological development. According to many analysts, patch update frequency plays a decisive role in determining the actual value of AI tools. With League of Legends, Riot Games' biweekly patch cycle means any AI model must constantly adapt – the advantage here lies not in the depth of knowledge but in the speed of detecting meta shifts faster than opponents. Conversely, Valve's sparser update cadence for Dota 2 allows deep historical data-based models to maintain validity over longer periods. A notable point is the relationship between AI coaching tools and publisher data policies. Valve and Riot Games are believed to hold significantly different positions on the extent to which third parties can access match data. If this information is accurate, AI solution providers like iTero will face two entirely different markets – each platform requiring a distinct product strategy. It must be acknowledged straight on: this interview-based article carries more of a B2B technology thought-leadership character than traditional esports reporting. It contains no match statistics, no patch meta analysis, and does not specifically reference any ongoing tournament. Instead, its value lies in raising structural questions about the industry's future – leaving a series of unresolved issues. Against the backdrop of an increasingly complex esports transfer market with multi-million-dollar contracts, the story of AI coaching as a strategic advantage shows that the boundary between technological support and competitive interference is becoming thinner than ever. Giant X and iTero may be setting a precedent – but whether that precedent is fair or structure-breaking remains something only time can answer.