By Naomi Withers | WBN News | August 13, 2026 Editor: Karalee Greer | Subscription to Vancouver News is Free Being a Contributor is Free
Most leaders I work with are not confused about whether AI is important. They have seen the board presentations, the competitor announcements, the vendor pitches. They know.
What they are stuck on is different: what to actually do with that knowledge. Where to start. What to prioritize. How to make a decision that holds up while the technology keeps shifting underneath them.
That's not a knowledge problem. It's a clarity problem. And it is more solvable than most executives realize.
Three patterns behind the stall
When I look across organizations where AI adoption has stalled, one of three things is usually happening.
The first: the organization is waiting for certainty that is not coming. Leadership wants a clearer picture of the technology, the competition, or the regulations before committing. Waiting for that certainty is itself a strategic decision, and its costs rarely make it onto anyone's risk register.
The second: the organization is moving, but without a clear question. A pilot here, a vendor evaluation there, a few enthusiastic early adopters who built their own workflows. Activity exists, but it is not organized around anything. There is no shared definition of success and no one tracking whether the experiments are producing insight that informs strategy.
The third is subtler and, in my experience, the most expensive: leadership thinks they are aligned when they are not. Different executives hold genuinely different pictures of the company's data maturity, cultural readiness, and competitive urgency. They have never explicitly compared those pictures. So the strategy conversation produces something that looks like agreement but is actually a set of parallel assumptions, and those assumptions collide the moment anyone tries to execute.
The hesitation is reasonable
The uncertainty most executives feel about AI is a rational response to a genuinely complicated situation. The technology moves fast. The vendor landscape is difficult to evaluate without deep technical expertise. Honest accounts of what adoption actually took, including the false starts and the cultural friction, are still rare.
Leaders who are proceeding carefully are being thoughtful. The organizations I have watched make expensive, avoidable mistakes with AI are not the cautious ones. They are the ones who mistook speed for strategy.
Where the real work starts
Here is what I have observed in organizations navigating AI adoption well: they started with an honest organizational assessment before any technology decision.
Not "What AI tools should we buy?" but "Where are we, actually?"
How mature is our data? Do our systems talk to each other in ways that would support an AI layer? Does our culture support experimentation and honest failure reporting? Does our leadership team share a common picture of our competitive position, and of what AI should be solving for us?
These are strategic questions. Answering them honestly, before committing resources, is what consistently separates organizations that build something durable from those that spend two years and significant budget arriving close to where they started.
Most leadership teams that sit down with those questions discover two things. First, they have more to work with than they thought. Second, they are not as aligned as they assumed. Both discoveries are useful. Either one, surfaced early, changes the shape of what comes next.
The pressure to act is real. But acting without clarity doesn't relieve it. It just redirects it.
Clarity before strategy. Always.
Adapted from an article first published on the Growth Consultant Services blog: You Know AI Matters. That's Not the Problem.
About The Author
Naomi Withers | WBN News https://www.linkedin.com/in/naomi-withers-7044491b/
Naomi Withers is the founder of Growth Consultant Services, where she advises founders, CEOs, and executive teams on AI strategy, executive coaching, and high-performance leadership. She writes at growthconsultantservices.com.
Editor: Karalee Greer Subscription to Vancouver News is Free Being a Contributor is Free
Tags: #Artificial Intelligence #AI Strategy #Executive Leadership #Business Strategy #Naomi Withers #Growth Consultant Services #WBN News