Jack Williams, iTero and GIANTX: When Artificial Intelligence Walks Into the Esports Coaching Room

In a recent interview, Jack Williams sat down to talk about iTero, about GIANTX, and about the future of something quietly reshaping how every esports team prepares for each match: coaching powered by artificial intelligence. There was no highlight reel, no roar from the crowd. Just one man, one piece of software, and a question the entire industry keeps avoiding: if a tool can help a team win more, is it still fair that only that team gets to use it? I have followed LEC matches across many seasons, and what caught my attention here was not a player but a gap. Vision score never lies, but it also never tells a story. The same applies here: the numbers on win rate, preparation time, and wards placed before teamfights all sit outside the frame. What sits inside the frame is only a conversation about a tool. To understand why this matters, we have to place it in context. iTero is an analytics and coaching platform built on artificial intelligence, designed to support esports teams in pre-match preparation, between-game analysis within a BO3 or BO5 series, and post-match evaluation. GIANTX — an organisation believed to have formed from the merger of two EMEA entities, with a presence in the LEC — is mentioned as an exclusive client. Jack Williams appears as the representative of iTero, answering questions about the exclusive partnership with GIANTX, about the possibility of the product being copied, and about the boundary between legitimate support and machine-assisted cheating. What stands out is that the original article never mentions any patch, game version, or balance change. There is no champion win-rate data, no pick-ban rate. Technically, this is a pure interview about governance and technology business, not a meta analysis. But precisely for that reason, it reveals another meta layer few people notice: the meta of preparation tools. Start with patch cadence. With Dota 2, Valve operates on large but infrequent update cycles — massive systemic patches, then long stretches of stability. This means a machine-learning model trained on historical data retains its value over a longer window. With League of Legends, Riot Games updates every two weeks. That cadence shortens the lifespan of any pattern a model learns. The value of an AI tool shifts: from solving the meta to detecting the meta delta faster than opponents. That is a speed advantage, not a knowledge advantage. A product marketed identically for both titles, when the reward structures of those titles are so opposed, should be a red flag worth verifying. If iTero sells the same story for both Dota 2 and League of Legends, then either the product is genuinely abstract enough to ignore title-specific traits, or part of its value is inflated. There is one detail I always keep in mind when reading pieces like this. From the mud of injury, I learned to read the match with the heart of a survivor. And survivors do not trust empty promises. They trust denominators. Here, the denominator is entirely absent. No sample size, no evaluation methodology, no control data. Every claim about iTero's effectiveness in the interview is unverifiable from what has been published. That is not an accusation; it is a real information gap. So where is the truly interesting part? In the two disclosed headings. One is working exclusively with GIANTX and the likelihood of being copied. Two is AI-assisted cheating. The first is a commercial frame: how to protect competitive advantage when software can be replicated. The second is an integrity frame: where the line sits between legitimate support and interference with a match in a prohibited way. But there is a third frame sitting between those two that the article does not name: the league-fairness frame. In a closed league like the LEC, all members are permanent, with no relegation. A structural advantage held by one member — such as exclusive access to a proprietary analytics tool — persists across seasons rather than being competed away. In other words, exclusivity carries far more structural weight in a franchised league than in an open-circuit system. Exclusive partnerships also raise a governance question for publishers and tournament organisers. If a tool genuinely affects match outcomes, the organiser will eventually face pressure to choose one of two paths: mandate equal access, or restrict the tool. History shows this has happened before with in-game coach communication, where rules tightened season by season. This is the point I consider the most overlooked in the whole story. The two disclosed headings are commercial and integrity. But the fairness frame sits right in the middle, and it is not named. Why does that matter to a Vietnamese audience? Because we are at a stage where regional teams are trying to close the gap with major regions — by importing players, by hiring foreign coaches, and now by buying analytics tools. If a preparation advantage can be purchased, the balance tilts toward organisations with budgets. That is something anyone following Vietnamese esports should reflect on, not because it is new, but because AI tools turn money into advantage faster than any previous investment channel. There is a personal story that always makes me doubt claims about tools. In 2026, at a group stage in a major regional tournament, after a team won 2-1, a well-known head coach asked me point-blank whether I even knew what jungling was. I held up my tablet and answered with numbers: his team had a very high jungle control rate in the first fifteen minutes, but the opposing team had a significantly higher vision score in the river area, so both early kills came from unwarded brush. Game three was won by switching to a lane-pushing strategy. The coach went silent, then nodded. From then on, I abandoned emotional arguments. The girl in the Dragon's Den — rebutting with vision score was a lesson I carried through my career. That lesson applies directly to the iTero story. What does an AI tool actually promise? It cannot change a player's reflexes. It can only read data faster. And if it can only read data faster, then the real advantage is not in the tool but in which team has more quality data to feed it. So the problem returns to the starting point: data infrastructure, not the algorithm. Minute 88 is the boundary between a legend and a forgotten story. In esports, that boundary is not measured in minutes but in games. And the gap between games — the brief window where coaches adjust strategy — is precisely where AI makes the biggest difference, and precisely where current rules are most ambiguous. Real-time in-game assistance is already clearly banned in every major title. But the between-game window in a BO5 series remains a grey zone. That is why this debate — though framed as being about cheating — is really a debate about definitions. How to define "in-game". How to define "support tool". How to define "legitimate advantage". Some stars do not choose the spotlight; they simply wait for the right rain. Tools like iTero are the same: they do not shine on their own, they wait for the right moment to step in. And that moment is now, when the esports industry is mature enough to have money, mature enough to have data, but not yet mature enough to have rules. The worrying part is not that artificial intelligence is appearing in the coaching room. The worrying part is that it is appearing with no one clearly defining what it is allowed to do. One team monopolising a tool is one thing. The entire league not knowing what that tool does inside is another, and far more serious. Viewed from Vietnam, where esports is still building its data infrastructure, I see a missed opportunity. The gap between regions is not measured only in skill, but in the quality of record-keeping and analysis. If Vietnamese teams invest in internal data before investing in external tools, they will have a far more solid foundation than buying software whose mechanics they do not understand. This is not a story about one man, one company, and one team. It is a story about an industry standing at the exact moment every industry must pass through: the moment a new technology becomes strong enough to change the rules of the game, before the rules of the game can change the technology. Match results will be recorded. But how we redefine fairness in esports competition will be remembered far longer.