Lens One — Building the Adaptive Enterprise
Author’s note: Going Beyond AI is six lenses on building a transformation-ready organization, for CEOs and operators. The tools will keep changing. The only thing worth building is a company that absorbs whatever shows up next.
The more I talk with CEOs, the less I talk about the specifics of AI.
Not because it stopped mattering. It just stopped being the hard part.
Leaders are spending real money forecasting which platform wins, which function gets automated first, which role disappears. The half-life on any of those answers is about nine months, which is roughly how long it takes to get the deck approved.
What does not expire is how quickly your organization absorbs a change it did not see coming.
That is a capability. Almost nobody is building it on purpose.
Readiness is a muscle, not a plan
It does not live in a roadmap. It lives in how long it takes a team to try something new, whether someone can run an experiment without three approvals, and whether being wrong in public costs a person anything.
Those are the actual measurements. Most companies have never taken them, which is why the roadmap keeps looking finished while nothing moves.
You cannot get adaptive out of a scared organization
BCG puts the split at ten, twenty, seventy: ten percent of the work is algorithms, twenty percent is technology and data, seventy percent is people and process. Most transformation budgets are allocated in roughly the opposite proportion.
Fear produces compliance, and compliance looks like adoption right up until it does not. The dashboard shows usage. The work shows caution.
Fear of AI is easy to spot once you know the tells. Nobody volunteers what they used AI for. Nobody shares a prompt. Experiments get run privately and reported as personal productivity. Your most senior people are the quietest, because they have the most status to lose by being visibly bad at something new.
Here’s the equation I keep coming back to:
RoAI — Return on AI. What the organization actually got. Not licenses purchased or seats
activated. Decisions made faster, work shipped sooner, capacity redirected toward judgment.
AIQ — AI intelligence. Fluency, tooling, access, and a shared understanding of what these systems can and cannot do. This is the part you can buy, train, and hire for.
FoAI — Fear of AI. Job anxiety, status anxiety, and the quiet calculation about whether getting good at this makes someone more valuable or more replaceable. This is the part no vendor sells a fix for.
Return on AI equals your organization’s AI intelligence minus its fear of AI. Every point of fear subtracts from the return, no matter how good the technology is.
The work is not convincing people the future is safe. It is convincing them they will be good at it. That starts with you going first and being visibly bad at it in front of them. Permission travels downward and only downward.
What we have to build is a transformation-ready organization, not just an AI-tool-readiness organization.
IN OUR NEXT NEWSLETTER · LENS 2 · GOING BEYOND AI
Establishing the Center of Excellence
Today’s move measures how fast your company absorbs change. The next one is about where that capability accumulates.
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Frequently Asked Questions:
What is a transformation-ready organization?
A transformation-ready organization absorbs technology shifts it never saw coming, fast and without drama. Brett Schklar, founder of Grow, measures it three ways: how long a team takes to try something new, whether someone can run an experiment without three approvals, and whether being wrong in public costs a person anything. AI tools turn over every nine months or so. This capability keeps compounding.
What is Return on AI (RoAI) and how do you calculate it?
Return on AI is RoAI = AIQ − FoAI. AIQ is AI intelligence: fluency, tooling, access, and shared understanding of what AI can do. FoAI is fear of AI: job anxiety, status anxiety, and quiet career calculations. Every point of fear subtracts from the return. RoAI counts faster decisions, work shipped sooner, and capacity redirected toward judgment. Licenses and activated seats don't count.
What are the signs of fear of AI in a company?
Fear of AI shows up as silence. Employees don't mention what they used AI for, nobody shares prompts, and experiments stay private. Senior leaders are often the quietest because they have the most status on the line. Usage dashboards can look healthy the whole time, since compliance passes for adoption until someone checks whether the work changed.
Why do AI transformations stall at mid-market and PE-backed companies?
BCG estimates AI value comes 10 percent from algorithms, 20 percent from technology and data, and 70 percent from people and process. Transformation budgets tend to flip that ratio. For PE-backed and mid-market B2B tech companies working against a value creation plan, the result is a technology rollout that hits its milestones while the organization's ability to change stays put.
How should a CEO build an AI-ready culture?
Go first, and let the team watch you learn in real time, because permission to experiment only travels downward. Then assess each person on Grow's AI Mindset Framework: four dimensions (Thought Partner, Tool to Workflow, Productivity to Innovation, Task to Outcome) across three stages (Developing, Contributing, Leading). Progress matters more than starting point.
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