McKinsey dropped a report recently that I think deserves more attention than it’s getting. The numbers are staggering, and I don’t use that word lightly.
The Numbers That Should Keep CEOs Up at Night
McKinsey’s research on the economic potential of generative AI pegs the total value at $2.6 trillion to $4.4 trillion annually across industries. Let that sink in for a second. We’re not talking about a nice productivity bump — we’re talking about a number that rivals the entire GDP of countries.
Banking alone could see $200 billion to $340 billion in additional value annually if generative AI use cases were fully implemented. Retail and consumer packaged goods? $400 billion to $660 billion a year. These aren’t speculative venture pitch numbers. This is McKinsey doing what McKinsey does — conservative, methodical analysis of where this technology actually moves the needle.
But here’s the line that really got me: current generative AI and other technologies have the potential to automate work activities that absorb 60 to 70 percent of employees’ time. Not 10%. Not 20%. Sixty to seventy percent.
The Consulting Industry Already Sees It
What makes this feel less theoretical to me is what’s happening inside the consulting firms themselves. BCG is reportedly generating 20% of its revenues this year from helping companies incorporate AI technologies — and that number is expected to grow to 40%. The firms that advise the Fortune 500 are going all-in because they’re seeing the demand firsthand.
When the consultancies pivot this hard, this fast, it’s not hype. It’s signal. These are businesses that make money by being right about where enterprise spending is headed. They don’t bet their revenue mix on fads.
The Haves and the Have-Nots
Here’s where I think the real story is, and what I’ve been thinking about a lot lately.
We may be entering a “haves” and “have-nots” split that plays out in dramatic fashion over the next couple of years. Not decades — years. The speed of this technology’s improvement curve, combined with the sheer breadth of its applicability, means the gap between early movers and everyone else could open up faster than anything we’ve seen in previous technology cycles.
Think about it this way. Two companies in the same industry, roughly the same size, roughly the same market position. One starts aggressively incorporating AI into its business processes — customer service, internal operations, marketing, product development, code generation, financial analysis. The other forms a committee to “study the implications” and plans a pilot program for Q3 2025.
Company A starts reclaiming 60-70% of its employees’ task time. Not firing everyone — redirecting that time toward higher-value work, faster iteration, better customer experiences, more creative output. Company B is still doing everything the old way.
How long before Company A is operating at a fundamentally different level? My guess is not long at all.
This Isn’t About Replacing People
I want to be clear about something — the 60-70% automation figure doesn’t mean 60-70% of jobs disappear. It means 60-70% of the TASKS within those jobs get augmented or automated. There’s a massive difference. What it really means is that your team of 10 might be able to produce what used to take a team of 25. Or your team of 10 produces five times the output they used to.
That’s a competitive advantage that’s almost impossible to overcome with traditional methods. You can’t hire your way out of a 5x productivity gap. You can’t “work harder” to close it. The only answer is to adopt the same tools — and by then, the early mover has two years of institutional knowledge about how to use them effectively.
What I’m Watching For
The next 18-24 months are going to be revealing. I expect we’ll start seeing earnings calls where CEOs directly attribute margin improvements to AI integration. We’ll see industries where the leaders pull away from the pack in ways that look disproportionate to their other advantages. And we’ll see some companies that were perfectly healthy in 2023 start to struggle — not because they did anything wrong, but because they didn’t do anything at all.
The companies that sit on their hands may be dramatically left in the dust. That’s not doom-and-gloom speculation. It’s just math. When your competitor can do 60-70% of what your people spend their time on — faster, cheaper, and often better — you’ve got a problem that no amount of tradition or brand loyalty is going to solve.
The $4.4 trillion in value McKinsey identified isn’t going to be distributed evenly. It’s going to flow disproportionately to the companies that move first and move aggressively. That’s pretty much always how these things work — but I don’t think we’ve ever seen the gap open this fast before.
If you’re running a business and you’re still in “wait and see” mode, the time to start was yesterday. The second-best time is now.
