The Roadmap

September is Coming: The Cost of Waiting on AI

August 24, 2026 · 8 min read · Jeff Conrad

An hourglass with an ascending bar chart and arrow rising from the sand, illustrating the cost of waiting on AI

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There is a window open right now for small businesses in Southern Alberta, and I want to be direct with you about how long I think it stays open.

It won't be open forever, and the businesses that recognize that fact right now, in August, before Q4 hits and the pace of everything accelerates, are the ones that are going to look back on this particular moment as the one that mattered. Let me tell you what the data actually says, because I think it's more urgent than most people realize.


The adoption curve is moving faster than anyone expected

In 2023, roughly 23% of small businesses in the United States were using generative AI in any meaningful capacity. By 2025, that number had jumped to 58%, and separate research from Intuit QuickBooks puts the share of small businesses using AI regularly at 68%. According to the U.S. Chamber of Commerce, that's the fastest technology uptake it has tracked since the rise of social media.

Let that land for a moment, because what we're watching is a technology go from experimental curiosity to mainstream business infrastructure in essentially three years, and the businesses that moved early are already reporting the results. According to Salesforce's survey of 3,350 SMB leaders worldwide, 91% of small businesses using AI report measurable revenue increases, and businesses investing in AI are nearly twice as likely to report year-over-year growth as those that aren't.

The window is still open, but it's not open the way it was two years ago.


What Q4 actually means for your competitors

Here's the thing about September that most business owners feel but don't always articulate clearly: it's the moment the year shifts from planning to execution. The summer pace gives way to the fourth quarter push, consumer spending picks up, businesses that have been building infrastructure all year start activating it, and the gap between the prepared and the unprepared becomes visible in a way it simply wasn't in July.

Small businesses collected $109 billion of the $263 billion in consumer holiday spending in 2025, according to Intuit QuickBooks research. That is a massive amount of economic activity concentrated into a few months, and the businesses positioned to capture it, with faster response times, better online visibility, more consistent follow-up, and systems that work while their owners sleep, are the ones that walk into January with momentum.

The businesses still running on manual processes, still sending leads to voicemail at 9pm, still spending their evenings on admin that software could handle, are competing for the same dollars with one hand behind their back, and not because they're less capable or running worse operations, but simply because they haven't yet given themselves the tools that their competitors are quietly putting to work.


The specific gap that's opening right now

I want to get precise about this, because I think vague urgency is less useful than a clear picture of what's actually happening competitively.

80% of small businesses using AI already believe it's commonly used among their peers, while only a third of non-users agree with that assessment. The businesses that haven't adopted AI yet are, in many cases, substantially underestimating how quickly their competitors are building an advantage.

And what's happening in the market is real: AI-enabled small businesses are nearly twice as likely to report year-over-year growth than those without, and adoption keeps accelerating every quarter that passes. That is a market reorganizing itself at speed, and reorganizations like this tend to reward the businesses that moved before it was obvious and create real catch-up costs for the ones that waited until it was.

The particular advantage available right now, in local markets like Calgary and Airdrie and the communities around them, is that the competitive gap at the local level is still significant. Many of your direct competitors, the people bidding on the same jobs, serving the same clients, showing up in the same search results, have not yet built this infrastructure, which means that if you move in the next few months you're not just keeping pace with a trend but establishing an advantage that will take your local competitors meaningful time and effort to close.


What waiting actually costs

I want to be honest about something, because I think the "cost of waiting" framing sometimes gets used in a vague, fear-based way that isn't particularly useful, so let me make it concrete instead.

Let's say you're missing two or three after-hours inquiries a month because nobody is answering when clients call after 6pm, and your average job is worth $2,000. That's somewhere between $4,000 and $6,000 walking out the door every single month, not because you're less capable than your competition, but simply because you weren't there when they called. An AI phone answering system that captures even one of those inquiries a month pays for itself by a significant margin, and that math gets better every month you have it running.

If your business isn't appearing on the first page of Google for the searches that matter in your market, every day that passes is a day that a potential client found someone else instead. The businesses building active blogs right now, answering the specific questions their clients are searching for and establishing topical authority in their local market, are compounding that advantage with every piece of content they publish, while the ones waiting are watching the gap get harder to close.

If your team is spending significant hours every week on administrative tasks that AI tools could handle, that time is coming from somewhere, usually from the higher-value work that actually grows the business, or from their personal lives, or from both. The compounding nature of that gap is the part that makes timing genuinely matter, and it's why the businesses that moved early are now reporting advantages that their later-moving competitors are finding difficult to replicate quickly.


The honest truth about "we'll get to it eventually"

I've heard this a lot, and I understand where it comes from. Running a small business is genuinely demanding, and adding another initiative to an already full plate is a real cost, not an imaginary one, and "we'll get to it eventually" is often less about disinterest and more about bandwidth, which is a legitimate constraint.

But here's what the data tells us about the businesses that are waiting: Salesforce's research found that while 75% of small businesses are now experimenting with or using AI in some form, only about a third have fully implemented it into how they actually operate. Most are still testing the water rather than swimming in it.

And the pattern ahead, based on everything the research is showing, is that the businesses which move from exploring to operating in the next six to twelve months are the ones that capture the compounding advantages, while the ones that stay in exploration mode watch the window for first-mover advantage in their local market close.

September is a natural moment to make that decision, not because of any arbitrary deadline, but because Q4 is when the work of the previous months becomes visible in results, and the businesses that built their AI infrastructure over the summer are going to feel that difference in November and December in ways that are genuinely hard to ignore.


What "moving now" actually looks like

I want to be clear that I'm not talking about a massive, expensive, disruptive technology overhaul, because the businesses getting real results from AI right now are not the ones that spent six figures on a custom implementation. They're the ones that identified three or four specific tasks eating their time or costing them leads, found practical tools built for exactly those tasks, and built the habit of using them consistently enough that those tools became part of how the business actually operates.

That doesn't require a technical background, a large budget, or months of implementation time. It requires clarity about where the real friction is in your business, a willingness to invest a few hours in setup, and the decision to move from thinking about it to doing it.

If you're not sure where to start, that's exactly what the free Business Modernization Assessment is designed to help with. Five minutes, six questions, a clear picture of where AI can realistically make a difference in your specific situation. Take the free assessment.

Or if you'd rather just have the conversation directly, book a call and we'll work through it together. September is a genuinely good time to start. January is a much harder time to catch up.

Ready to move before Q4 hits?

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Jeff Conrad Jeff runs Ascentis, an AI strategy consultancy helping Southern Alberta small businesses put AI to work without losing what makes them good. Based in Airdrie, Alberta.