The "Iceberg" isn't about sinking the ship. It's about how we steer it.
The new MIT study on AI hit CNBC today with a headline that immediately puts people on the defensive: "AI can already replace 11.7% of the U.S. workforce." (source: CNBC/MIT)
If you look at this through a traditional lens, you see risk. You see 11.7% of jobs disappearing.
But take an OCM lens to that same data.
We currently have ~1 billion weekly active users across platforms like ChatGPT, Copilot, and Gemini. Are those billion people logging in every week to design their own obsolescence?
No. They are logging in because they found a "Value Moment."
The MIT "Iceberg Index" actually maps "technical exposure"—the tasks that AI is capable of handling. The study shows that while the visible "tip" of the iceberg is in tech roles, the massive submerged opportunity sits in administrative and cognitive support tasks.
The 1 billion users keep coming back because they are finding value in offloading those exact tasks. They aren't being replaced; they are shedding the friction that makes their workdays hard.
The Strategy Shift: We need to stop managing this change based on the fear of replacement (the 11.7%) and start managing it based on the pursuit of value (the 1 billion).
Don't ask: "Which jobs can we cut?"
Do ask: "Which tasks are my people trying to offload so they can do better work?"
The "Iceberg" is only a danger if you ignore what’s beneath the surface. If you look closely, it’s actually a map of where your people are begging for help.
How are you seeing "Value Moments" show up in your team?

