Ready, Aim, Fire: The Penske File Dilemma

The Penske File Dilemma
For fans of Seinfeld, you’ll remember the episode where George Costanza lands a job he’s wholly unqualified for, and is handed the all-important Penske file. Left alone in an office with no direction and no one to ask, George does the only thing he can think of: he alphabetizes the contents. No value added. No progress made. But here’s the thing, the real lesson isn’t that George didn’t know what to do. It’s that George couldn’t bring himself to admit it. Asking for help felt more dangerous than doing nothing at all. Welcome to the modern Penske File Dilemma, the AI Initiative Dilemma, taking place in a boardroom near you.

The parallel is uncomfortably precise. Senior leaders across industries are being handed their own Penske files in the form of AI mandates, and the pressure to appear competent is colliding head-on with the reality that nobody, not the CEO, not the board, not the consultants, has a fully mapped playbook for this moment. AI isn’t just another wave of technological change. It’s a different order of magnitude entirely, moving faster and cutting deeper than anything most leaders have encountered in their careers. And yet, when the board asks “What are we doing with AI? How are we talking about it publicly?“, the reflexive answer from many management teams sounds something like: “We’ve been making great progress and look forward to sharing outcomes at our next meeting. By the way, do you have any advice?” Lots of questions, no answers.

This is the trap the Penske File Dilemma sets. The anxiety of not knowing, combined with the belief that senior leaders should intuitively know, pushes organizations into a kind of collective imposter syndrome. Rather than acknowledging that this terrain is genuinely new, teams default to projecting confidence while quietly alphabetizing their files. The result is motion without direction, activity without strategy, and eventually, a board meeting that nobody is quite prepared for.

The way out begins with a simple but culturally difficult acknowledgment: this is not something any of us should already know how to do. It’s changing faster than any one can keep up with! That’s not a failure of leadership. It’s an honest reckoning with an unprecedented moment. The leaders and organizations that will navigate AI most effectively aren’t the ones pretending to have all the answers, they’re the ones building the capability to continuously find better ones.

That capability looks different from how we’ve traditionally approached change management. The old model moved organizations from one stable state, through a period of disruption, to a new stable state. Hopefully, that new state would last long enough to deliver a return on the investment. But AI doesn’t offer stable states. It offers a continuous stream of change, and organizations that are waiting to “finish” their AI transformation before catching their breath are going to find themselves perpetually behind.

What’s needed instead is what I call an evaluate-and-adapt capability. An organizational muscle built not for a single transformation, but for continuous, structured response. This means regularly asking: What has changed in the market in the last few months? How is the technology itself evolving? How are our active initiatives performing against the assumptions we made when we launched them? What adjustments should we be making today so that we’re better positioned in the weeks ahead? This isn’t about chasing every shiny object, the next OpenClaw as soon as it drops. It’s about building a disciplined practice of co-creation and adaptation that draws on and actively optimizes the full intelligence of your organization.

Defeating the Penske File Dilemma is the first step toward moving from “ready, fire, aim” to something more purposeful. It starts when leaders give themselves and their teams permission to say “we haven’t seen this before, and we’re going to figure it out together.” That kind of honest, collective engagement—continuously inspecting, adapting, and building on what you learn—isn’t a sign of weakness. It’s the foundation of a continuous innovation organization, and it may be the most important competitive advantage available.