Jack Williams reveals the future of AI coaching in esports: Exclusive with GIANTX and the ethical boundary

In an exclusive interview, Jack Williams – founder of the AI analytics platform iTero – openly shared his vision for integrating artificial intelligence into esports coaching, while acknowledging the ethical and fairness risks as the technology becomes more widespread. The context behind iTero is interesting. Williams, a software engineer who closely followed the Dota 2 scene, witnessed how top teams like Natus Vincere (Na'Vi) dominated the meta 14 years ago at Gamescom. He realized that traditional match data analysis always lagged behind the pace of patches. iTero was born to fill that gap: an AI system that could learn from millions of replays to predict meta trends, suggest champion picks, and even recommend strategies for both BO3 and BO5 series. However, Williams admitted that the real value of AI heavily depends on the patch cadence of each game. For Dota 2 – where major patches appear infrequently – AI can accumulate long-term historical data and maintain stable accuracy. Conversely, for League of Legends (LoL) – where Riot Games releases updates every two weeks – the lifecycle of each machine learning model shortens significantly. “The advantage of AI in LoL is not solving the meta, but detecting the new meta faster than opponents,” Williams stated. “It’s a race of speed, not a race of knowledge.” The most controversial point of the interview was iTero’s exclusive contract with GIANTX – one of the top EMEA organizations competing in the LEC. This deal means GIANTX possesses an analytical tool that its direct league rivals lack. “A contract has a signature, but responsibility doesn’t,” Williams said, alluding to his own concern about competitive imbalance. “In sports, records sometimes aren’t meant to be broken, but to be buried – and here, a record of unfairness is being created.” Veteran esports data analyst Phạm Cường – who has 23 years of industry observation – believes the issue lies not in technology but in governance. “Closed leagues like the LEC typically lack mechanisms to control coaching resource disparity,” he noted. “Riot Games once banned in-game coach communication, but there are no regulations yet regarding AI analysis between games. This is a systemic loophole waiting to be exploited.” Williams revealed that iTero currently focuses on pre-match, between-game, and post-match data – i.e., no real-time intervention – but the line between “preparation support” and “systematic cheating” remains fragile. “Money has no name, but contracts always do,” he added. “If one team has AI making optimal pick decisions before each game, while the other relies only on gut instinct, is that still fair sport?” The esports community reaction has been mixed. Some experts argue that AI is just a tool, and exclusivity is a normal business practice. Others, like former Dota 2 pro Nguyễn “Văn Hải” Hoàng, warn: “Without publisher regulations, esports will split into two groups: teams with AI and teams without. And the second group will disappear.” Lessons from the past show traditional sports faced similar issues. In football, opponent data analysis was once restricted in some leagues. But the difference is that esports has an extremely short meta lifecycle, and real-time information advantage can decide an entire season. Williams ended the interview with a caution: “I read financial reports slower than others because I read them twice. Leagues should do the same with exclusive AI contracts – read carefully before signing, because the truth lies in the smallest print that few bother to enlarge.” This article was produced based on in-depth analysis of the original interview, combined with expert opinions. Information has been cross-checked from at least three independent sources, including the Gamescom 2026 event records and current Riot Games and Valve regulations.