The Third Wave: The Biggest Category in AI That Nobody’s Talking About
We just published our thought leadership article, The Third Wave. Here’s why we believe it’s the most important conversation in AI right now.
Most Leaders Are Preparing for the Wrong Thing
We published this article because we believe most business leaders are not properly preparing their organizations for what really matters in AI.
The conversation in almost every boardroom right now is about tools and tech. Which AI to buy. Which vendor has the best demo. How to get the team to use Claude and ChatGPT more. That’s wave one, and it’s important—but it’s not the thing that’s going to separate the winners from everyone else.
In The Third Wave, we lay out what is coming: the second wave is hitting now and will start to hit very hard, where AI agents aren’t tools you use, but workers you deploy. The third wave, right behind the workforce, is the management wave. All workforces need to be effectively managed. That management layer is what we call AI Workforce Management, and it’s the category we believe will define the next decade of business.
The article breaks down why a clear category doesn’t exist in any mature or organized form today, why the gap is already creating real problems, and what it looks like when companies start getting it right.
The Signs Are Already Here
If you’re paying attention, the early signals are impossible to ignore.
A Harvard-backed study of 1,500 workers found that heavy AI usage is already triggering cognitive overload. Around 14% of workers reported reduced focus and slower decision-making. Supervising AI agents added 14% more mental effort and 12% more fatigue. Major mistakes jumped 39%. And the tipping point? Managing more than three AI tools started to hurt productivity, not help it.
This is just one of many signs and examples you start to see about company issues that are not AI technology issues, or even AI workforce issues, but AI management issues.
This emerging set of problems is not only the pain that people in companies will feel—it’s where the real opportunity for harnessing AI’s full power is unlocked.
You Don’t Need to Be First. You Need to Be First to Manage It.
Here’s what we tell the leaders we work with: you don’t need to be the first company to deploy AI. But you absolutely need to be among the first to get AI Workforce Management right.
If you watch closely, the companies surging ahead are already doing this. They’re not just deploying agents—they’re building the onboarding, the role definitions, the knowledge boundaries, the human-in-the-loop accountability systems, and the performance frameworks to manage them. They’re treating AI like a workforce, not a software subscription.
But they’re not sharing their playbooks. The companies figuring this out are keeping their best practices close because they understand the compounding advantage it creates. Every quarter they operate with strong AI management, the gap between them and everyone else widens.
The companies that win the next decade aren’t the ones with the best AI. They’re the ones who know how to manage it.
That’s exactly why we built ManageAI. This is the problem we wake up every morning to solve for midsize growth businesses. Not building another AI tool. Enabling the management discipline and tech infrastructure that makes every AI agent able to deliver real results within a company’s own walls.
👉 Read the full article: The Biggest Category in AI That Nobody’s Talking About
Ready to build and manage your AI workforce? Contact us at [email protected]
