The Right Strategy Makes AI Look Like Magic.

Eighty-eight percent of organizations now use AI in at least one part of the business. Only about 6% qualify as McKinsey's "AI high performers" — those attributing 5% or more of EBIT to AI and reporting significant value. The gap between adoption and impact is the most important business story of the decade.

Also published on Substack: The Right Strategy Makes AI Look Like Magic →

88%

Organizations now using AI in at least one business function (McKinsey, 2025)

Qualify as 'AI high performers' — 5%+ EBIT impact and significant reported value

39%

Report any enterprise-level EBIT impact from AI — most of them under 5%

The conversation in most boardrooms — and most kitchen tables — is the wrong one.

The question owners keep asking is: which AI tool should we buy? The right one is harder: which parts of our business model are no longer worth defending? McKinsey's 2025 State of AI report shows the gap clearly — 88% of organizations now use AI in at least one business function, but only about 6% qualify as "AI high performers" attributing 5%+ of EBIT to AI and reporting significant value.^[1] The adoption wave already arrived. Real bottom-line impact is still rare.

The Insight That Changes Everything

Productivity gains, by themselves, do not produce durable competitive advantage. Competition erodes them. The technology becomes a baseline cost, not a differentiator.

Every previous technology wave told the same story.

When one coffee shop adds AI ordering, it saves time. When the four shops on the same street add it, the saving disappears for everyone. The technology becomes a baseline cost. McKinsey's strategy team made the point directly: real value from AI comes from reshaping offerings, business models, and market structures — not from squeezing more output from the existing model.^[2] The owners who built wealth in past technology waves used the technology as a trigger to rebuild the business model — different pricing, different customers, different services. The tool was the catalyst. The model change was the value.

92% of Canadian SMBs use digital tools. Only 10% have fully integrated them.

The CFIB's 2025 digital adoption study surfaces the gap that explains everything.^[3] 92% of Canadian SMEs use digital tools; only 10% have fully integrated them across core operations. CFIB calls this top tier "Digital Leaders." They report $2.40 in returns for every $1 invested — 1.7× higher than their less digitally mature counterparts, against an SME average of $1.60 per $1. Adoption is widespread. Full integration is rare. That gap is where wealth is being built right now.

What "rebuilding the business model" actually means.

For an owner-operated business, the rebuild usually means changing one or two of these — not all five, and rarely all at once. The diagnostic tells you which one.

01
Who you serve. Customer segments that look similar but have wildly different unit economics. Walking the wrong accounts is a model decision.
02
How you price. Quotes built on 2022 cost assumptions are leaking margin every day. In Q2 2024, 71.7% of Canadian small businesses (1–19 employees) expected at least one cost-related obstacle over the next three months.^[4]
03
How customers experience the business. A three-day quote against a competitor's instant quote is a comparison the owner doesn't see.
04
How decisions get made. The data is in the business. Structured analysis isn't. AI doesn't fix that — a diagnostic does.
05
What you actually sell. The hardest one, and the highest-value one. AI changes the economics of reframing the offer itself.

A Worked Example

An illustrative example: a 14-person professional services firm. The honest math.

The tactical view: AI saves 15 hours a week of senior staff time. At $200/hour × 50 weeks, that's $150,000 of capacity unlocked. Sounds like a win.

The honest math: A competitor does the same thing within twelve months. Both firms quote faster. The market notices. Hourly rates drift down at the margin. The saved time gets re-priced into the market. The firm is back where it started — with a higher software bill.

What should have happened: Use the unlocked capacity to offer something the market doesn't have. A monthly strategic review. A proactive risk audit. Something that shifts the relationship from billable transactions to retained advice. That isn't a productivity gain. That's a business model change.

The mistake isn't being late to AI.

The mistake is treating AI as a tools question when it is a business model question — and discovering, three years from now, that the productivity gain you bought has been priced into the market and the only thing different about your business is the software bill. The owners who rebuild the model in the next twelve to twenty-four months will be operating against a market that hasn't caught up. The ones who wait will be operating against a market that has.

If This Sounds Like Your Business

The first conversation is a diagnostic.

Bibeka Advisory works with owner-operated businesses across Ontario. Every engagement is led personally by the principal — CPA (New York), MBA, Big Four background. No handoffs. We read the business the way a seasoned operator would and identify the one thing that, if fixed, changes everything else downstream. We call it the binding constraint. If we are not the right fit, we will say so.

Start a Conversation

◆ Sources & References

[1]McKinsey & Company — The State of AI in 2025: Agents, Innovation, and Transformation (November 2025). 88% of organizations regularly use AI in at least one business function (up from 78% in 2024); 39% report any enterprise-level EBIT impact attributable to AI (most under 5%); ~6% qualify as 'AI high performers' attributing 5%+ of EBIT to AI and reporting significant value. mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai
[2]McKinsey & Company — 'Where AI Will Create Value, and Where It Won't' (April 2026). Strategy team analysis on the productivity paradox: productivity improvements rarely expand profit pools because competition erodes them. Real value comes from reshaping offerings, business models, and market structures. mckinsey.com/capabilities/strategy-and-corporate-finance/our-insights/where-ai-will-create-value-and-where-it-wont
[3]Canadian Federation of Independent Business — Digital Adoption Report (September 2025), co-sponsored by Payworks and Sage. 92% of Canadian SMBs use digital tools; 10% are fully integrated 'Digital Leaders'; average ROI of $1.60 per $1 invested across all SMBs; $2.40 per $1 for Digital Leaders (1.7× advantage); 55% saw returns within 2 years; average 29% productivity boost in year one. cfib-fcei.ca/en/media/digital-adoption-including-ai-paying-off-for-smes-but-gaps-remain
[4]Statistics Canada — Canadian Survey on Business Conditions, Q2 2024 (Catalogue No. 11-621-M). Among Canadian businesses with 1–19 employees, 71.7% expected at least one cost-related obstacle over the next three months — including rising inflation (55.3%), rising cost of inputs (44.7%), rising interest rates and debt costs (42.0%), real estate/leasing/property tax costs (31.7%), and cost of insurance (29.7%). www150.statcan.gc.ca/n1/pub/11-621-m/11-621-m2024007-eng.htm
[5]Original publication on Substack — Bibeka Advisory · 'The Right Strategy Makes AI Look Like Magic.' Same article, alternate canonical copy. bibekaadvsiorytax.substack.com/p/the-right-strategy-makes-ai-look

Published by Bibeka Advisory for informational purposes. Data drawn from publicly available government, academic, and regulatory sources as cited. Nothing in this article constitutes tax, legal, or financial advice.