Every business narrative has the same structure: things were one way, then they changed, and now they’re a different way. Before and after. Problem and solution. Old world and new world. Clean, satisfying, and almost entirely fiction.
The real structure of work is: things were one kind of messy, then they became a different kind of messy, and they will continue being messy forever. There is no “after.” There is no point at which you’ve figured it out. There’s just the next mess, which you’re slightly better equipped to handle because of the last one.
I call this the permanent messy middle. Accepting it is one of the most important things you can do as a leader.
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The messy middle is the space between strategy and success. Between knowing what to do and having done it. Between the promise you made and the delivery of that promise. Most of us permanently operate here. Not at the visionary planning stage or the victorious completion stage. Somewhere in between, covered in the dust of execution.
We don’t talk about this because it’s not a good story. Nobody wants to read a case study that says “we tried a bunch of things, most of them partially worked, we’re still figuring it out, and we probably always will be.” But that’s the honest version of almost every operation I’ve ever seen.
Right now, we’re producing 160 pieces of content a month. From the outside, that looks like a well-oiled machine. From the inside, it’s held together by duct tape and determination.
There’s always a workflow breaking, an editor overloaded, a tool not working as expected, a stakeholder whose requirements just changed, a quality issue that slipped through. Always. The question isn’t whether the machine will have problems. The question is how fast you can fix them.
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AI will make the messy middle messier, not cleaner. The tools themselves are changing faster than you can build processes around them. You implement a workflow based on one AI capability, and three months later, the capability has changed so much that the workflow needs to be redesigned.
This is permanent. The rate of change in AI tools is not going to slow down to let your operations catch up. You’re going to be redesigning workflows continuously, indefinitely. The organizations that succeed will be the ones that build change fitness. The capacity to absorb continuous disruption without falling apart.
Change fitness isn’t something you learn once. It’s a muscle you build through repeated exercise. Every time you scrap a workflow and build a new one, you get slightly faster at scrapping and building.
Every time you navigate conflicting stakeholder demands, you get slightly better at holding contradictions. Every time a metric becomes meaningless, and you have to invent a new one, you get slightly more comfortable with ambiguity.
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The messy middle isn’t a phase to endure. It’s where real work lives. The sooner you stop waiting for things to stabilize, for the tools to mature, for the strategy to clarify, for the metrics to settle, the sooner you start operating effectively in the only environment you’re ever actually going to get.
Build boring systems. Adapt every six months. Lead through ambiguity. Find force multipliers. Build for metrics that don’t exist yet.
And accept that you’ll be doing all of this forever. That’s the job.
Welcome to the messy middle.