For over a year, the media and clients have been calling me with the same question: Is AI coming for our jobs? My answer hasn’t changed. We’ve seen this tech-industry cycle before. A new technology arrives that seems poised to make humans less essential, so companies rush to automate everything. Then it becomes clear: the technology isn’t making humans redundant—it’s enabling them to focus on higher-value work.
Today we’re in the middle of that same cycle with AI—and the conversation keeps missing the point. The question isn’t whether machines will outsmart humans. It’s what happens when efficiency becomes the only lens: which jobs get automated, which tasks shift to software, and how quickly organizations trade human labor for algorithmic horsepower.
It’s not surprising that an industry that thinks of itself in lines of code is framing the discussion this way. But it’s also wrong. And let me be clear: it’s been wrong every time we’ve had this discussion.
History Repeats: Tech Augments, Not Replaces
I heard the same thing in the early 80s about the PC. I heard it again in the 90s about the internet. The argument was always the same: once X spreads through the organization, there won’t be room for human input. And the reality has always been the opposite. When I think about what the steam engine did for humanity, it didn’t eliminate our drive to do things; it gave us new places to direct it.
The PC didn’t take away the need for human intelligence; it democratized access to computing power. The internet didn’t make human collaboration any less necessary; it eliminated geography as a limiting factor. Technology has repeatedly absorbed low-value work and freed people to focus on higher-value work. AI is just accelerating that process.
The Leadership Paradox of AI
I think there’s a leadership paradox forming that’s going to define this next era of enterprise leadership: The smarter your machines are, the more important human judgment becomes. As a leader, you might not like that statement because it’s really hard to deliver. But it’s true – and most organizations still aren’t thinking this way about AI.
When I talk with CEOs and IT management, they focus on how much labor they can replace. How much process can we streamline? How can we cut from the expense column? Those are all valid questions. Believe me, I’m not here to argue with efficiency.
But that’s not the only way AI is transforming organizations. Not even close. The companies I believe will truly lead over the next five years are the ones thinking less about what tasks to delegate to AI, and more about what their people can do now that the machines are taking care of the stuff underneath.
What Humans Do Best
This is a leadership question. It’s not an IT problem to solve. It requires a fundamentally different mindset than what we’ve seen dominate the conversation since ChatGPT landed in every organization’s inbox.
Progressive leaders know that the technology will continue to improve at doing the structured, repeatable work that fits into neat datasets. So they spend their time focusing on what their people should be doing instead. How do we tap into our employees’ strategic judgment? How do we foster better relationships with our customers? How do we solve problems creatively? Human expertise isn’t going to be automated away.
AI is going to force organizations to identify what humans can do—not blur the line between human and machine work like organizations have been doing for the past few years. Those who realize that early are going to lead the next wave of growth. They won’t just adapt to intelligent (and eventually autonomous) systems. They’ll define what comes next.
