Maple Leafs to double down on AI despite previous criticism

Despite dealing with Keith Pelley's AI-focused trade deadline, the Toronto Maple Leafs are fully committing to using AI tools to assist their front office.

The Athletic reported a few months ago that the Toronto Maple Leafs and MLSE had used AI tools in order to help their trade deadline, with CEO Keith Pelley reportedly waltzing into the front office with a list of potential trade deals that were artificially generated. It caused a huge uproar among the fanbase, and both Pelley and the Maple Leafs received backlash.

However, just as soon as it came up, it was quickly pushed aside as the Maple Leafs made their offseason moves, with other headlines dominating in the meantime. Currently though, there's certainly a renewed interest in the topic, especially considering Toronto's philosophy.

Maple Leafs fully buying in to Keith Pelley and MLSE's generative AI push

According to Maple Leafs GM John Chayka via an article from The Athletic's Chris Johnston, the franchise is going to be fully committing to using MLSE Labs and their generative AI tools in order to assist the front office:

With Humza [Teherany] and his team integrating into the Leafs we think it's a real advantage, it allows us to deploy a lot more resources than you would otherwise be capable of.

There's things that different sports are doing that you can learn from or use best practices or leverage or understand the logic and try to apply it in your way. I think it'll be a great partnership between the groups, and it becomes just one entity basically.

Chayka also explained that his personally founded analytics company, Stathletes, has no intentions of being involved as of yet, but also didn't completely dismiss the idea. Teherany is MLSE's Chief Strategy and Innovation Officer, and had a hand in assisting Pelley with his AI-journey starting a year ago.

Whether this change is a positive or negative is up for debate, and we don't know exactly how Toronto will use these tools in their day-to-day operations. But it's part of a shifting philosophy for MLSE, and Chayka is fully on board.

Can AI help the Toronto Maple Leafs succeed?

Yes and no. In a general sense, utilizing AI tools as a way to help dive a little deeper into the analytics and program it in a way that it can analyze data and provide solutions on a player-by-player basis then it genuinely could be effective.

That's a positive for sure. But if Pelley and MLSE start to use AI to help dictate their day-to-day business then there could be issues. Pelley isn't afraid of using AI to help generate trade deals, so who's to say he won't start asking for contract extension advice for players, or ask it to provide a list of the best free agents?

Both of those skills are not only better suited for a human, but specifically, you have people in those positions already who have the experience and know-how. The AI can only learn from what it's taught, and it's hard to teach it 25-30 years of experience in a season and once you start to solely rely on its opinion, there are issues that could come up.

MLSE and the Maple Leafs can't rely solely on AI, despite their obvious desire to fully buy in. But given their immense desire to overhaul the franchise going forward, it's just part of their new system - despite the backlash it's likely to receive.

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