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I'm going to say something that might be unpopular: most SaaS companies investing in AI right now are lighting money on fire. Not because AI isn't valuable — it absolutely is. But because they're investing in the wrong things, at the wrong time, for the wrong reasons. The Three Money Pits Money Pit #1: Building custom models when off-the-shelf works. Unless you're sitting on proprietary data that creates a genuine competitive moat, you don't need a custom LLM. You need a sma

I've built companies in Montreal for over a decade, and I've watched the ecosystem transform from an overlooked market into one of the most compelling places in North America to build a technology company. This isn't boosterism — it's an honest assessment from someone who's operated here, hired here, raised capital here, and chosen to keep building here. Every week I talk to founders in San Francisco, New York, and Toronto who are burning through cash trying to compete for ta

Every CEO I talk to right now has the same look in their eyes: a mix of excitement and overwhelm. AI is everywhere — in your board decks, your competitor's product announcements, your team's Slack channels. The pressure to 'do something with AI' is immense. But here's what I've learned after advising dozens of SaaS founders through this transition: the companies that win aren't the ones that move fastest. They're the ones that move most deliberately. The Trap: Trying to Boil