Last month I wrote about the 73% of Canadian small and medium businesses that haven't thought about AI yet. A few people reached out to say the number surprised them. A few others said it didn't.
Google Cloud surveyed over 3,400 senior business leaders this year and found that 74% of companies using AI are already seeing a return. Among the earliest movers, that number hits 88%.
The gains show up in productivity first. 70% of organizations reported meaningful improvement, 63% in customer experience, 56% in straight business growth. Among those showing productivity gains, 39% said their employees were doing the same work in roughly half the time.
For a trades company in Kelowna or a manufacturer in Penticton, that math is worth sitting with. If your estimator gets quotes out twice as fast, you're winning more bids. If your admin team stops spending the morning chasing down information, those hours go somewhere useful. For Okanagan businesses running tight margins, recovered hours translate directly into capacity, and capacity is what determines whether you take the next job or turn it down.
Construction is still near the bottom in BC for AI adoption. An industry that figured out how to build a 40-storey tower is still deciding whether to try software that organizes documents. There's no punchline, that's just where things stand.
Most business owners I talk to have a trust question somewhere in the conversation, and it's a fair one. A PwC Canada survey of 220 Canadian organizations looked at this directly. A third of Canadian businesses have no plan for responsible AI use. 65% say the core problem is that nobody has been formally put in charge of it. Unclear ownership is the bottleneck, and that's a management problem, not a technology one.
71% of Canadian organizations expect positive financial returns from investing in AI governance. Companies that build this foundation before they scale tend to move faster, because the guardrails are already in place when something unexpected happens. And something always does. The companies skipping this step are the ones you read about later for the wrong reasons.
The businesses I work with that are seeing results started the same way: one problem costing them real time or money, one specific thing to try against it, and a measure of what actually changed. The clarity came from doing that, and the next step followed.
The gap between businesses using AI and those still watching is widening. Moving now still puts you ahead of most. The window is still open, but it's not getting cheaper to climb through.