I don’t know about you, but I’m a longtime fan of leadership and business trends reports, and I’m especially susceptible to the clickbait pull of “what’s on the horizon” headlines. I know they’re often wrong, sometimes wildly so. But every so often, they surface high-quality data from genuinely relevant sources.
Case in point: I was reading Deloitte’s 2026 Global Human Capital Trends survey, and one statistic jumped out at me. Seventy percent of business leaders say their primary competitive strategy over the next three years is to use AI to move fast and nimbly, quickly capitalizing on changing business needs.
What strikes me most, though, is that this number sits in direct opposition to another: 70% of change initiatives fail, according to McKinsey research. Put those two side by side, and you’ve got a “ready, fire, aim” trap that’s all too easy to fall into. We pull the trigger on a new strategy or technology rollout without taking the steps to prepare the people who have to execute it.
Here’s the reality: expecting your organization to pivot and adapt at the speed of every new AI rollout isn’t just an impossible dream. It actively contributes to change fatigue, burnout, and, eventually, turnover.
As someone who provides SHRM-accredited training, I regularly talk with HR leaders and hear battle stories firsthand. And there’s a pattern: the managers responsible for implementing these changes are often the least trained and least prepared to lead their teams through it.
That’s the heart of the issue. New technology emerges every week, capable of moving our businesses faster than ever, but the people we depend on to do the work are consistently left out of the preparation equation.
The good news: what’s predictable is preventable. Adaptability, nimbleness, and change tolerance aren’t fixed personality traits; they’re trainable skills that live squarely under the emotional intelligence umbrella. When I work with leadership and management teams, I focus on four core areas to build tolerance for ambiguity, increase comfort with dynamic environments, and keep people steady in the chaos of a high-motion culture.
Self-Awareness: Know your own resistance before you ask others to overcome theirs. Leaders often assume resistance to change is a “them” problem. It rarely starts there. Before rolling out a new tool or process, get honest about your own triggers — where does your discomfort with ambiguity show up? Teams take their emotional cues from the top. A leader who names their own uncertainty out loud (“this is new for me too, and here’s how I’m approaching it”) builds more trust than one who projects false confidence. Self-awareness is the domain that makes the other three possible; you can’t manage what you haven’t first noticed in yourself.
Self-Management: Build the pause before the pivot. Fast and nimble doesn’t mean reactive. The instinct when a new AI capability or competitive pressure surfaces is often to move immediately, which typically looks like this: announce the initiative, set the deadline, and expect adoption. That instinct fuels the 70% failure rate. Build in a deliberate pause between decision and rollout: a short window to map who’s affected, what’s being asked of them, and what support they’ll need. Regulation isn’t slowing down for its own sake; it’s strategically shaping your organization’s response rather than reacting to the pressure of “everyone else is doing this.”
Social Awareness: Read the room before you read the results. Most change initiatives generate signals long before they show up in adoption metrics or turnover numbers. These can include tension in a team meeting, a manager going quiet in a 1:1, hallway conversations that never make it to your inbox. Leaders who tune in to those signals can intervene while it’s still cheap to fix. Leaders who wait for dashboard data are managing a problem that’s already compounded. This is where change fatigue gets caught early: not through a survey six months later, but through paying attention now.
Relationship Management: Acknowledge before you accelerate. Here’s where most rollouts break down. Leadership announces the change, expects buy-in, and treats resistance as a compliance problem rather than a trust problem. Acknowledging the disruption, “I know this changes how you’ve worked for years, and that it’s going to feel different,” isn’t the same as agreeing to slow down. It’s the step that makes people willing to move with you instead of around you. As an extra insurance policy against failure, when we supply the “why” and provide context for the reasoning behind the change and the benefits it will deliver, the team is much more likely to buy in and support the effort. Leadership isn’t just about having a vision for success, but also about the ability to inspire and influence others to share your passion for achieving it. When we skip these steps, we’re not managing change; we’re just managing compliance, and compliance doesn’t scale resilience.
The businesses that win in 2027 won’t be the ones with the most AI tools. They’ll be the ones whose people can absorb what those tools make possible. Ready, fire, aim might feel fast. But aim- the deliberate, human work of preparing your team- is what determines whether the shot hits the mark. Before you chase the next fast pivot, ask yourself: are we actually ready, or just firing?
Author Bio
Eric Bartosz is the Founder and President of BAR40 Fractional Solutions, working with business owners and leadership teams to optimize the performance of people and processes. Eric is a certified EQ trainer, bestselling author, and adjunct MBA professor.
