When AI Takes the Analyst's Chair: Jack Williams, iTero, and a Boundary Nobody Has Drawn

In a conversation that ran longer than an hour, Jack Williams paused mid-sentence more than once, as if checking the words before letting them out. The man behind iTero did not open with model throughput, nor did he brag about prediction accuracy. He talked about the risk of being copied. Then he talked about the fear of being seen as a cheating tool. Those two threads turned out to be the real axis of the interview. The rest of the piece gave considerable room to the writer himself: memories of Gamescom, a dream of one day lifting the Aegis of Champions the way Natus Vincere once did. But the most readable part sat neatly inside two section headings: working exclusively with GIANTX, and the likelihood of being copied. One thing about timing needs to be said up front. The article recalls Natus Vincere lifting the Aegis of Champions at Gamescom "14 years ago." Na'Vi won The International for the first time in 2026. That subtraction places the interview around 2026 — precisely the stretch when questions about AI-assisted tooling began heating up across major competitions. iTero, as the piece describes it, develops analytics and coaching software built on artificial intelligence for esports teams. GIANTX is a European organisation, often mentioned by esports followers as the merger of Excel Esports and Giants Gaming, tied to the League of Legends ecosystem in the EMEA region. Those are the background facts — because their position inside a closed league is what makes the story complicated. Here, the issue is no longer a company selling software. It is the question of whether a closed league will allow one member to hold a lasting, exclusive edge. And as I re-watched screen recordings of pre-match analysis sessions, I saw that the gap between a shared tool and an owned tool is far wider than any stats sheet ever shows. Start with the word "exclusive." In an open circuit, a technology edge can be erased when another team buys a better tool, or through promotion and relegation — weak teams drop, strong teams rise, the market corrects itself. In a franchised closed league, every member is a permanent member. There is no relegation to filter anyone out. A structural advantage, once held, persists season after season. That is precisely why an exclusivity deal in a closed league carries far more weight than the same deal in an open system. If GIANTX holds separate rights to iTero, it is not simply buying software. It is buying time. Time to read opponents faster, to prepare drafts more carefully, to adjust tactics between games in a BO3 or BO5. And time, at the peak of esports, is real currency. There is a paradox analysts often overlook: exclusive technology does not seize victories directly; it seizes preparation. Victories arrive later, once preparation has accumulated enough layers. This is where the second strand surfaces. The ethical limit of AI coaching is not about using AI. It is about the window of time in which use is permitted. There are three windows: pre-match, between games, and post-match. Live in-game assistance is already clearly banned in every major title — nothing left to argue about. The real grey zone is the gap between two games. When players leave their seats and a coach has a few minutes to talk with them, does an AI model offering opponent insights count as an illegal aid? To date, no document answers that decisively. In the pre-match window, nobody argues. In the post-match window, nobody argues either. But the between-games window — where time is compressed to a handful of minutes and every tactical decision must be made under extreme tension — is exactly where AI tooling creates its largest advantage, and exactly where the rules are murkiest. And here is where I think the interview missed its most interesting thread. The value of an AI tool is not the same across titles, because patch cadence differs. Dota 2, run by Valve, ships large patches but infrequently, with long stretches of stability in between. A model trained on historical data keeps its accuracy for longer — good for statistical tooling. League of Legends, updated by Riot every two weeks, shortens the lifespan of any learned pattern. There, AI's value shifts from "solving the meta" to "detecting the meta shift faster than opponents" — a tempo advantage, not a knowledge advantage. If iTero sells the same product with the same promise into both ecosystems, that is a suspicious sign. Because the two environments demand two different kinds of value. A tool that says "I understand the meta" today may be right in Dota 2 and wrong in League of Legends. Transfer news is like a sprint: the finisher rarely leads from the starting line. The story of coaching tools is the same — the winner is not the one who ships the strongest feature, but the one who understands each title's tempo well enough to place the right bet. What the interview puts on the table — and what most readers will skip past — is not the fight against commercial copying. It is the question of who is responsible for drawing the boundary. The game publisher, the tournament organiser, or the tool vendor itself? When one team holds exclusive rights to a tool capable of influencing competitive outcomes, the league operator will soon have to choose: either force equal access for every team, or restrict the tool itself. That is not a distant scenario. It retraces the very path that in-game coach communication rules once travelled — from permitted, to restricted, to outright banned. Valve and Riot have historically approached third-party data and tooling differently. If that holds, AI coaching vendors face two markets with different rulebooks — one product, two sets of constraints. I have watched enough matches over the years to see one principle: every structural advantage eventually gets legislated, sooner or later. As a Vietnamese journalist working in Shanghai and covering esports across borders, I read this story through a migrant's lens. Western closed leagues protect their members through exclusivity contracts. Large Asian teams grow strong through internal resources and training culture. Which system holds the edge once AI becomes part of preparation? The answer is not in any contract yet. The quietest summer often hides the loudest signings — and the iTero–GIANTX deal may be one of them. The biggest problem with this interview is that its length sits in the wrong place. Most of the extractable information is about the writer, not the subject. But inside the two disclosed section headings, there is enough material for a debate the esports industry is not yet ready to open. A running track and an esports arena are not far apart; few people just bother to run the full lap to see it. Both share an unwritten rule: you do not win with tools, you win by understanding tools before your opponent does. The line between "understanding" and "cheating" is shifting, and nobody has stepped up to redraw it.