The biggest challenge for organizations isn’t AI itself – it’s that they’ve become too large. For decades, companies have scaled by adding more people, more layers, more processes – but most of those layers aren’t about doing the actual work. They exist to manage complexity, relay information, and keep the machine running.
AI doesn’t just automate tasks – it removes the need for coordination in the first place. As soon as the cost of AI versus human labor makes sense – and the error rate drops low enough – entire layers of middle management, operations, and communication-heavy roles start disappearing. Not because companies want to cut jobs, but because the inefficiencies of large organizations become impossible to justify.
We’re not just talking about AI replacing workers – we’re talking about AI making companies rethink why they’re big in the first place. At some point, businesses will realize they don’t need thousands of employees to do what a lean team, combined with AI, can handle more efficiently.
When that tipping point comes – what happens to the entire structure of how companies operate today?
AI doesn’t just automate tasks – it removes the need for coordination in the first place. As soon as the cost of AI versus human labor makes sense – and the error rate drops low enough – entire layers of middle management, operations, and communication-heavy roles start disappearing. Not because companies want to cut jobs, but because the inefficiencies of large organizations become impossible to justify.
We’re not just talking about AI replacing workers – we’re talking about AI making companies rethink why they’re big in the first place. At some point, businesses will realize they don’t need thousands of employees to do what a lean team, combined with AI, can handle more efficiently.
When that tipping point comes – what happens to the entire structure of how companies operate today?