70% of Businesses Are on the Wrong Side of the AI Divide
Bassem is a digital marketing, SEO, and AI strategist with more than 22+ years of experience managing online marketing strategies for some of Canada's and international corporations, including Canadian Tire, VistaPrint, Remax Canada, Egypt Air, Xplornet, Direct Energy, and Toronto Star.
Key Takeaway: The biggest AI risk isn’t missing the technology. It’s waiting until the competitive gap shows up in your numbers, when catching up may already be too late.
Roughly 70% of businesses are standing on the wrong side of what I believe could become an extinction-level divide. They know AI is coming, but while they’re still talking, testing, and planning, a smaller group of competitors is rebuilding how they operate around it.
According to research cited in Google’s recent conversations with marketing leaders at Cannes Lions, 96% of CMOs say they’re excited about AI, yet fewer than one-third have fundamentally changed how their organizations operate. That’s the number that matters. Once your competitor can respond faster, automate work you still do manually, operate at a lower cost, and scale faster than you can, you’re no longer competing on a level playing field.
That advantage compounds, and I believe the window to get ahead is closing fast. The next 6 to 12 months could determine which businesses use AI to dominate their markets and which spend the next decade trying to catch them.
The 70% Should Be Terrified of the 30%
Being part of the majority feels safe. If most businesses haven't fundamentally changed how they operate around AI, it's easy to assume you still have time. Your competitors are experimenting too, nobody has completely figured this out, and you can always move when the technology becomes clearer.
The 30% don't need to have AI completely figured out. They just need to learn faster than everyone else. Every workflow they automate, bottleneck they eliminate, and customer interaction they improve creates another small advantage. Those advantages don't stay small when you multiply them across an entire business.
One company responds in seconds while another responds tomorrow. One launches in days while another takes weeks. One handles growth without adding headcount at the same rate while another watches payroll climb with revenue.
At first, these differences look like efficiency gains. Eventually, they create two companies with completely different economics.
And that's when the 70% have a serious problem.
Buying AI Won’t Save You
Anyone can buy ChatGPT, Gemini, Claude, or Copilot. Your competitors have access to the exact same AI you do, so owning the technology gives you almost zero competitive advantage.
That's what stood out to me from Google's conversations with business leaders at Cannes. The companies pulling ahead aren't simply experimenting with prompts or collecting AI subscriptions. They're changing processes and questioning assumptions about how their businesses have always operated.
If AI allows your competitor to serve more customers with fewer resources, respond faster, make decisions sooner, and remove layers of manual work, you haven't fallen behind on software. You're competing against a fundamentally better operating model.
Companies rarely disappear the moment a new technology arrives. For a while, everything still looks normal. Customers keep buying. Employees stay busy. Revenue still comes in. Then the economics of the industry change underneath them, and being excellent at the old model is no longer enough.
I believe AI has the potential to create that kind of divide much faster than most businesses expect.
Don’t Be The Boiling Frog
There’s an old analogy about a frog sitting in water that gets gradually hotter. The change happens slowly enough that the frog doesn’t recognize the danger until it’s too late. Whether or not the biology is accurate, I think the analogy describes exactly where a lot of businesses are with AI right now.
What concerns me is that most businesses won’t realize they’ve waited too long until the damage starts showing up in the numbers. You can have a good year while a competitor is rebuilding the way their company operates. Revenue can still grow while they are figuring out how to serve the same market with fewer operational constraints and a completely different cost structure. From the outside, nothing looks particularly alarming.
I’ve been in business long enough to know how dangerous that can be. By the time you see the impact in your margins, market share, or growth, your competitor hasn't simply bought technology you can go out and buy tomorrow. They’ve changed the business around it. They have the processes, experience, infrastructure, and organizational knowledge that came from moving before you did.
That’s why I keep coming back to the 70%. I don't see 70% of businesses with plenty of time left. I see 70% of the market still available for the companies willing to move first.
And I wouldn't want to be figuring out AI after my competitors have already figured out how to use it against me.
If I Were in the 70%, This Is Where I’d Start
At Green Lotus, we’ve spent a lot of time thinking about what separates a business that uses AI from one actually built to compete with it. We keep coming back to the same conclusion: throwing AI tools at the company isn’t a strategy. You have to rebuild the business in the right order.
- Agentic AI — Fix the leaks first. Before I spend another dollar generating demand, I want to know the business can capture the demand it already has. Missed calls, slow responses, abandoned leads, repetitive work, and manual processes are where I’d start using AI to change how the business operates.
- Smart Sites or Shopify — Build the foundation. Your digital infrastructure now has to work for humans and machines. Customers need a great experience, while AI systems need to clearly understand who you are, what you sell, and why your business is relevant.
- AI SEO — Become the business AI recommends. Visibility is becoming bigger than ranking on Google. Customers are increasingly asking ChatGPT, Gemini, Perplexity, and other AI systems what to buy and who to hire. I want our clients to become the businesses those systems know, trust, and recommend.
- Paid Ads — Amplify what already works. Only then do I want to pour money into advertising. Paid media can accelerate a strong business, but it can also accelerate waste. I’d rather fix the operation, build the asset, and earn visibility before paying Google, Meta, or ChatGPT for more attention.
That order matters. Agentic AI. Smart Sites or Shopify. AI SEO. Paid Ads. It’s how I believe businesses move from the 70% still figuring AI out into the 30% actually changing how they compete.
And I wouldn't take my time getting there. The 30% aren't waiting for the rest of the market to catch up.
AI or DIE.


