2026 Will Require More Retraining Than the Last 25 Years Combined #ai #futureofwork

The need for teams and employees to scale up is going to be greater than 20 in 2026 than it has been in all of the years in the previous 25, right? Like if you look at 2020 to 2025 and you add up all of the training needs, I think 2026 is going to be greater than that. And that sounds hilarious and it sounds like an exaggeration, but if you think about it, this is changing every aspect of every second of the day for us. And we now have to get an entire workforce retoled. We've never had to do that in 25 previous years. We now have to go from people are assigned work and maybe it goes faster because of the internet or people are assigned work and now they answer their emails and not their fax machines to who's assigning work? How do you define work? Who manages the work? Do you have a fleet of agents? Are you trusted with agents? How do you lead a team that is composed of agents and humans? How do you lead a team when your humans are not really human manager caliber, but they need to manage agents? These are the kinds of questions we'll be dealing with up and down the stack. And this is one of the things that makes me really excited for 2026. We won't be bored. We have so much learning ahead because everybody is going to be learning how to do this and the solutions are going to look different at different scales. How an enterprise handles this is going to look very different from how a tiny startup handles this. And I think we already see some of those models emerging. So, there you go. Those are my 10 predictions plus that bonus 11th, which is we're all going to have to learn a good luck in 2026 and uh we'll all get there

What's really happening with AI in 2026 that most leaders are missing? The common story is that AI will gradually make everyone more productive, but the reality is more complicated when ten specific predictions trace back to what we already know today and the gap between fast movers and slow movers is about to become unbridgeable. In this video, I share the inside scoop on what's actually coming and why it matters now: * Why memory breakthroughs and agent UI surfaces will arrive by mid-2026 and what that unlocks for always-on delegation * How continual learning and recursive self-improvement will reshape LLMs faster than most enterprise planning cycles can absorb * What very long-running agents mean for organizations when humans become the bottleneck instead of the technology * Where work AI and personal AI split into completely different experiences and why that divide changes how you build teams For leaders navigating 2026, the gap between fast-adopting companies and everyone else will widen dramatically, creating predator-level advantages for disruptors and existential risk for slow movers. The workforce retraining challenge ahead will exceed the previous twenty-five years combined. Subscribe for daily AI strategy and news. For playbooks and analysis: https://natesnewsletter.substack.com/