AI Isn’t Replacing People. It’s Exposing How Your Company Is Built.

The conversation I am having right now have become overly simplified. That AI is replacing people. It’s a compelling headline. But it misses what’s actually happening inside executive board rooms.

What I am seeing from U.S. and Canadian founders I meet with every week isn’t just a shift in using AI tools, it’s a shift in how org charts are changing and the questions founders are asking: what kind of leaders do we now need to drive growth in the era of AI? And do we have the right leaders in the right seats? In a number of cases, it’s exposing cracks that were already there, certain leadership roles that need to be up-skilled or replaced. We see this across many organizations, especially in scaling and high growth startups where their future is looking quite different from their past. AI is challenging all of it. And with the promise and grandeur that AI is selling, it’s forcing a rethink of what work should exist in the first place.

That’s why we’re seeing roles being redefined and teams being flattened. Companies are asking different questions now. Not just who do we need to hire to lead us into the Agentic AI shift, but what’s the actual strategy, and what kind of leadership can guide us through these uncharted waters.

The broader economic signals are pointing in the same direction. In Canada, inflation ticked up to 2.4% in March and unemployment has risen to around 6.7%, pointing to a more cautious hiring environment (Statistics Canada). Just this past week The Bank of Canada has held rates at 2.25%, while the Federal Reserve is taking a similar wait-and-see approach. We are witnessing a level of caution that many of my clients still feel is real, with U.S. tariffs and oil prices continuing to rise.

At the same time, layoffs continue to make headlines. Meta announced 8,000 cuts, Amazon 16,000, and Canada’s own Rogers Communications offering voluntary buyouts to roughly 50% of its workforce, targeting corporate layers as part of one of the most significant cost resets in Canadian telecom. In the U.S., employers announced over 60,000 job cuts in March alone, with AI cited in roughly 25% of those decisions, and more than 90,000 tech roles have already been impacted globally in 2026. You’re seeing the same shift in capital markets. Global private equity investment rose to roughly $2.1 trillion, up from about $1.8 trillion, but across fewer deals (KPMG). More capital, fewer bets. There appears to be far less PE tolerance for average performance.

It’s easy to connect those dots and conclude that AI is replacing people. But that’s not the full story.

AI is not yet consistently capable of replacing entire categories of work at scale. What it is doing is forcing leadership teams to confront decisions they’ve avoided. Where are we overbuilt? Where are we inefficient? Where are we solving the wrong problems? What gaps do we have on our leadership team, and what changes must we make to remain lean, stay close to AI, create new ways of working, reduce costs, and continue to grow in this uncertain economic environment? In that sense, AI is less of a replacement tool and more of a mirror at this moment in time. And not every organization likes what it’s reflecting back, especially when they are not experts in AI or don’t have a clear roadmap forward. That matters. When capital becomes more selective, having the right leadership in place becomes the most important success factor.

You can feel this directly in the hiring markets today. Hiring hasn’t stopped, but it has become more cautious and intentional. Companies are questioning what their A-Player actually looks like and being more selective. The bar has been set higher, and those creators, disruptors, and growth leaders with the vision and ability to lead founders through this moment in time are needed more than ever.

The leaders who stand out today are not just operators. They understand how to build and adapt in an environment where the rules are changing in real time.

I saw this firsthand in a recent session with a group of startup founders. The biggest a-ha moment had nothing to do with AI. It was the hiring patterns they didn’t realize they had. Once we mapped them out, it became clear where gut decisions had consistently led to the wrong hires. The same profiles, the same gaps, the same outcomes. The patterns were predictable, they just hadn’t been surfaced. Much like AI, founder bias can shape the outcome. What you put into the machine is what you get out. Helping founders see these realities and uncover those a-ha moments is our expertise.

That’s where many get stuck. Not because they can’t find talent, but because they’re not clear on what they actually need, or able to clearly define what their A-Player looks like.

AI is changing how companies operate and there is lots of test and learn happening very quickly, but it won’t replace the need for judgment, creativity, and leadership. If anything, it increases it. When tools become more powerful, the consequences of using them poorly become more visible. The real shift isn’t about hiring less. It’s about hiring much better.

For founders, the question now is simple. What kind of leadership do you need to build, test, and modernize with AI at speed?

Because the right leadership hire doesn’t just fill a role, it can change the entire trajectory of the business.