Jack Williams, iTero and GIANTX: When AI Sits in the Coach's Chair

Jack Williams does not open with a perfect play. There is no five-man fight, no 40th-minute turnaround, no stat sheet highlighted in red for social media. He talks about an exclusivity deal.

In the interview covering iTero, GIANTX and the future of AI-assisted coaching in esports, what made me stop mid-piece was not the technology. It was the word "exclusive." One analytics tool that only one team is permitted to use. One technology partner signing privately with one organisation inside a closed league with no relegation, no survival pressure. The two topics the piece touches — susceptibility to copying and AI-assisted cheating — sit in the same grey zone. But there is a third angle that conversation never names. And in my experience, it is precisely the absent angles where the truth lives.

I once feared being wrong on air, until I was, and understood I was born to speak. So this time I will say it plainly: the real question is not whether AI may sit in the coach's chair. The real question is who gets to buy the right to sit there first.

To read this story correctly, three pieces must be placed correctly.

Piece one: iTero. An AI-powered coaching tool designed to support analysis and tactical preparation for esports teams. Not a game, not a tournament, but a technology product sold to competing organisations. In other words, it belongs to the B2B layer of esports — the layer audiences never see, yet which decides part of the results audiences do see.

Piece two: GIANTX. An esports organisation based in the EMEA region, formed through the merger of two established European names. Its presence is bound tightly to the League of Legends ecosystem, where the regional league operates on a closed franchise model. Meaning: participating teams are permanent members, with no relegation, no merit-based invitations. This is the detail I will return to, because it governs how we should read that exclusivity deal.

Piece three: Jack Williams. A name behind the product, representing a wave of technologists stepping into esports' tactical war rooms. He is not a player, not a traditional head coach. He sells a tool. And in the interview he concedes two notable things: the exclusive relationship with GIANTX can be copied, and AI-assisted cheating is a genuine concern.

On timing, one detail is worth noting. The piece references Natus Vincere lifting the Aegis of Champions at gamescom "14 years ago." Natus Vincere won the first The International in 2026, at gamescom in Cologne, Germany. Simple subtraction points to roughly 2026. That means we are reading a document born after AI became a hot topic in the industry, not during its early experimental phase.

As for me, I write this from Shenzhen, after a decade tracking esports on both shores. From that position, I see something most Vietnamese-language coverage of this topic skips: the AI-in-esports debate is being framed incorrectly. It is being sold as a technology story. It is actually a power story.

Start with the headline the interview sets: working with GIANTX exclusively, and the likelihood of being copied.

Here is how the story is usually told: a young technology firm lands a deal with a big esports team, worries rivals will copy its ideas, and pleads with the industry to protect its intellectual property. That telling sounds reasonable. It is also wrong at the most important point.

The problem is not copying. In an industry where software can be reverse-engineered, models retrained and data repurchased, pure technological advantage is never durable. Anyone who has worked in technology knows this. If iTero's only value were its algorithm, it would have died before signing its first contract.

What genuinely matters is that an exclusive position creates competitive asymmetry inside a closed league, where such asymmetries are never competed away over time.

Look at the structure. In an open system with promotion and relegation, every short-term advantage self-corrects. Weak teams improve, strong teams rise, or strong teams grow complacent and are overtaken. The market — in the competitive sense — corrects itself. But in a closed franchise league, where all members are permanent owners, a structural advantage persists across seasons. It is not competed away. It is only copied, and copying takes time.

When a team has exclusive use of an advanced analytics tool, it does not merely hold data. It holds time. Time to convert data into draft decisions, into lane plans, into between-game roster adjustments. That time — in a league where matches are played days apart — is what money cannot buy elsewhere.

And here is the crux I have not seen anyone analyse: the value of an AI coaching tool is not fixed. It inverts according to each title's patch cadence.

Take two large examples. Dota 2 is run by Valve on a cadence of large but infrequent updates. Between patches lie long stable windows, where a machine-learning model trained on historical data retains validity for weeks or even months. This is an environment where advantage tilts toward depth of historical modelling — whoever has more data and a better model wins. League of Legends, by contrast, runs on a fast cadence, changing every two weeks. There, any learned pattern has a short lifespan. AI's value shifts from "solving the patch" to "detecting the patch's shift faster than opponents" — a speed advantage, not a knowledge advantage.

If that holds, a product sold identically across both titles is a warning sign. A tool optimised for Dota 2 will not be optimised for League of Legends, and vice versa. Buyers should ask: which patch cadence was this contract designed for?

That is before the second factor — the genuine grey zone of cheating.

The "AI-assisted cheating" debate is usually pushed to an extreme: an AI reading the screen directly, suggesting actions in real time, or worse, automating part of the control mechanism. But that zone is already explicitly banned in every major title. There is nothing to debate there beyond detection.

The real grey zone lies in the interval between games of a BO3 or BO5 series. In that interval, coaches are permitted to talk to players. Permitted to analyse. Permitted to adjust tactics. So if an AI tool in that interval suggests a draft for the next game, what is that? An analytics tool, or illegal competitive assistance? The boundary between those two is not clearly defined. And when the law is unclear, the advantage goes to whoever moves first — or whoever dares to gamble.

I once sat watching hundreds of matches on streaming platforms in the early pandemic years, when arenas were empty, when tournaments postponed en masse. An empty arena, yet I still heard the echo of myself. That period taught me one thing: when no one is watching, people behave differently. When no one is watching the tactical war room between two games, people also behave differently. Technology does not create that nature. It only amplifies it.

And this is where I must say what this industry hates to hear.

Any AI tool powerful enough to analyse player behaviour, sharp enough to predict draft trends, and fast enough to offer recommendations in the between-game window generates a data pipeline of enormous value to the betting market. Not because the toolmaker wants to sell that data. But because the data exists, and anything of value finds a buyer.

Fans hate the truth, but I did not go on air to be loved. And here is what I believe: live data supplied to betting companies is the darkest side effect of sports digitisation — in football, in esports, everywhere. No one signs a contract titled "selling behavioural data to bookmakers." That is unnecessary. Data need only exist in a retrievable format, and the supply chain handles the rest.

This is why the question "will iTero be copied?" is a small question. The big question is: the dataset iTero builds from its GIANTX relationship — who owns it, where is it stored, and who has access? The interview does not answer that. And the silence at exactly this point is the most notable thing in the entire conversation.

Here I must argue against myself. Because the reasoning above has a hole, and I know it.

My assumption is that an exclusivity deal creates competitive unfairness. But there is another reading: perhaps exclusivity is not the problem, but the solution. If every team in a league uses the same AI tool, that tool becomes part of the rules of play, like the arena or the rulebook. The advantage vanishes because everyone has it. Differentiation returns where it belongs: to player skill and coach vision.

I could be wrong elsewhere too. Perhaps iTero is not aiming at long-term advantage at all. Perhaps it just wants an anchor client to validate the product, to get real data, a real logo, before selling broadly. In that case, "exclusivity" is a trial phase, not a long-term business model. And if so, my structural concerns are premature.

On cheating: perhaps I am exaggerating. Perhaps league operators already have internal rules strict enough to handle this before it becomes a problem. I have no evidence to the contrary. I only have one historical observation: in-game coach communication was once permitted, then restricted, then banned, then reopened conditionally. Each time, regulation trailed reality. Never led it.

I say this for transparency: if three years from now iTero sells to every team in every league, and no data scandal occurs, then I was wrong. I will record that. But I am rarely wrong about structure. A closed structure plus an exclusive advantage plus high-value data is a formula that needs no villain to produce a bad outcome. It needs only ordinary people making ordinary decisions for ordinary interests.

If you want to know how AI will enter esports, do not look at partnership announcements. Look at three things: when a rule on AI tools is issued, when a league decides to mandate or ban tool sharing, and when a data-ownership clause appears in a team-vendor contract.

The iTero–GIANTX deal may be small. But it is a test. And the way this industry runs, every test gets copied. The question is not who copies whom. The question is: when everyone has finished copying, will the rules be written by those who arrived first, or those who arrived last.