Where will AI take us? That seems to be the million-dollar question.
Are we headed to a dystopian nightmare where we are just mindless doers doing only what our AI overlords tell us? Or a beautiful utopia where the robots take on our work, allowing us to live in a leisurely paradise?
The Fear Isn’t About AI—It’s About Expertise
I find these conversations entertaining. It’s like Groundhog Day for every other conversation we’ve had about technology since the beginning of time.
What I find most interesting is the fear beneath it all: that expertise has become obsolete. That somehow decades of experience now amount to nothing.
That’s not true. In fact, it’s the opposite.
Research has consistently shown that AI systems depend on human judgment to be effective, not the other way around—a point emphasized in MIT Sloan Management Review’s coverage of why AI still needs expert oversight and contextual decision-making.
Experience Didn’t Disappear. It Became More Obvious.
I wasted time trying to get AI to write this blog post. I eventually got frustrated enough to write it myself. Every em dash in this post is mine. My expertise was the differentiating factor in getting this written the way I wanted it written.
This will be edited by AI later.
That’s the point.
AI didn’t replace my expertise. It relied on it.
As Harvard Business Review has noted in its work on collaborative intelligence, AI performs best when humans provide direction, judgment, and context—especially in nuanced or strategic work.
AI Is Good at Work Experts Shouldn’t Be Doing
Instead of removing experts, AI has made us more valuable by doing something far more useful. It’s acted like Pac-Man. Chomp. Chomp. Chomp. Moving through the work that requires time and persistence, but not deep judgment.
It’s taken on the tedious work. The draining work. The kind of work that leaves people exhausted before they ever get to the part where their hard-won skills can make a difference.
Expertise Is Built in Context, Not Prompts
For those of us in tech, the battle scars from expertise are real. Experience is built over years of context, mistakes, and learning where things tend to break. That kind of knowledge doesn’t disappear just because a new tool shows up.
And yet, so much of that expertise still gets consumed by busy work.
Hours spent staying current.
Hours spent chasing information.
Hours spent deciding what matters.
Not because this work is strategic, but because someone has to do it.
The Real Shift Isn’t What We’re Losing
There’s a lot of talk about an “AI-expertise gap,” usually framed as something we’re losing. The more interesting shift happens when AI takes on entire categories of busy work that experts never should have been doing in the first place.
The pressure to “do something with AI” is real, but speed without clarity just burns expert time faster.
When machines handle the scanning, sorting, and summarizing. When they absorb the effort of staying oriented. When they reduce the constant background noise that forces experienced people into maintenance mode. That’s when something changes.
From Information Processors Back to Decision-Makers
When that layer is removed, experts don’t disappear. They re-emerge.
They stop acting like information processors and start acting like leaders again. They’re no longer spending their best hours just keeping up. They have space to think ahead, set direction, and focus on priorities instead of reacting to whatever shows up next. This is where AI actually earns its place.
Not by replacing judgment or pretending experience is optional, but by taking responsibility for work that never should have required expert attention in the first place. The tracking. The sorting. The effort just to stay oriented. That work doesn’t make people better at what they do. It just wears them down. When that layer is removed, experts can apply judgment where it actually changes how the organization operates.
A Better Question for Leaders
So, if you’re a leader trying to make sense of AI, I don’t think the question is whether it’s impressive or transformational. The question is whether it changes how your most experienced people spend their time. If it does, you’re using it well. If it doesn’t, you’ve just added another tool to manage.
AI isn’t here to replace experience. It’s here to stop wasting it.
