Briefing #21: The End of the Gatekeeper
How AI turns every business leader into a founder
Note: This briefing was originally published on LinkedIn on December 12, 2025. It has been migrated to our new home on Substack to create a complete archive. Multi-format features like video and audio commentary are available for all new briefings published from April 2026 onwards.
There’s an old joke in computer science that the way to solve any complex problem is simply to abstract it and make it the next layer’s problem.
For decades, the corporate world has applied this same logic to organizational design. When a business becomes too complex for one leader to manage, we “abstract” the problem by hiring a layer of managers. When those managers get overwhelmed, we hire directors to manage them. We solve the complexity of scale by building a human hierarchy.
It works, but at a steep cost. We trade agility for control. We create a “frozen middle,” a thick layer of translation where strategy gets diluted and ground truth gets distorted before it ever reaches the C-suite.
But today, in this era of AI we’re in, we’re seeing the signals of a profound reversal.
In October, Amazon announced it was cutting 14,000 corporate roles in a bid to build flatter hierarchies across its corporate organization and invest more heavily in AI. Life sciences giant Bayer AG was also recently in the news touting its operating model, one of “Dynamic Shared Ownership,” where up to 95% of the organization’s decision making has been pushed to the front lines in a trend that some are calling the “Great Flattening.”
This is organizational thinking that goes beyond layoffs or efficiency. It is a statement of belief in the potential for AI to enable an architectural upgrade of the corporation itself.
The New Abstraction Layer
What’s obvious to a computer scientist isn’t always obvious in business: the goal of abstraction isn’t to add more people. It’s to hide complexity so you can focus on the result.
In the past, “abstracting complexity” meant hiring a middle manager to summarize weekly reports from ten junior employees. The manager was the API.
Today, agentic AI is becoming that abstraction layer.
Instead of relying on a deep organizational structure to filter information, leaders can now insert AI into their business models to observe results and take action directly.
The Way It’s Done Today: A CEO waits for a quarterly report, synthesized by three layers of management, to know if a product launch is working.
The “Founder Mode” Way: An AI agent monitors customer sentiment, sales velocity, and support tickets in real-time, flagging anomalies directly to leadership the moment they happen.
This achieves more than the flattening of an organization. It compresses the distance between the leader’s intent and the organization’s action. It allows a $500 million enterprise to operate with the visceral, hands-on agility of a $5 million startup.
The Small Business Giant
This shift frames the future of work we are heading toward. The “AI-native” organization of 2026 will look less like the sluggish incumbents of the Fortune 500 and could look more like a massive network of small, agile businesses.
These organizations will be leaner, yes. But more importantly, they will be “sludge-free.” They will use AI not just to automate tasks, but to automate the coordination of tasks — the very thing that middle management was invented to do.
For leaders, this is the ultimate AI unlock. It means you may no longer have to choose between scale and speed. You could have the reach of a giant with the soul of a founder.