The Productivity Window

It just showed up.

While this is fictional, its inspired by whats happening inside your company rn:

One of your analysts has quietly automated half her weekly reporting. A product manager is drafting specs in a fraction of the time and started building prototypes. Someone in support has built a tool that answers the twenty most common tickets and automated responses.

No one told you or asked permission. Few if any discussed it with their peers. Leading to small victories with little leverage. And thats a “best case” scenario.

This describes many companies right now. The productivity injection is happening all around us. It didn’t arrive via some brilliant strategic initiative but through your employees quietly picking up tools on their own. There was no roll out – It just showed up.

And now you are managing a workforce that is suddenly, unevenly, and invisibly faster, wondering what you are supposed to do about it.

A good problem is still a problem.

The good news is AI in combination with motivated, ambitious employees is delivering genuine productivity gains at the individual level. Your people can now reclaim hours from tasks that used to define their jobs, and that reclaimed time is the most valuable thing happening in your business this year.

The complication is that the same shift creating the value is also creating a mess.

The gains are uncoordinated and trapped at the individual level. The cost side isn’t being tracked.  Every employee who leans in is going in a slightly different direction, building something slightly different, and solving a problem someone else solved last week.

A thousand small wins and no way to add them up.

A Beautiful Mess

Look closely at that pile of small wins and a set of distinct problems comes into focus. 

• Sprawl. People are moving in a many directions at once. Each direction might be sensible on its own, but together they are uncoordinated, and uncoordinated effort does not compound. It just accumulates.

• No leverage. When your best analyst builds something genuinely useful, it stays with her. There is no path for that work to reach the rest of the company, so a gain that could have lifted a hundred people lifts one. The most valuable thing in your business right now is also the thing you are least equipped to spread.

• Uneven adoption. Some have leaned all the way in but others have not touched these tools. They’re waiting for a signal from you. There’s no clear view of who is in which camp, and no mechanism to surface where leadership will emerge. The talent is distributed. The benefit is not.

• Rising opportunity cost. As your people become more productive, their time becomes more valuable, which means everything that wastes it becomes more expensive. The status meeting, the redundant approval, the poorly run review, the politics. These were always costs and they just got bigger.

• Uncontrolled spend. Much of this runs on tokens and tokens cost money. Duplicate projects, abandoned experiments, and inefficient tooling are quietly adding up, and almost no one has visibility into the total. The CFO is asking questions as you pay for the same problem to be solved five times.

• No owner. There is no function, no leader, and no shared place where any of this lives. The effort is real, but it is happening everywhere and belonging to no one.

No central nervous system.

Step back from the list and these problems collapse into one.

Your company adopted AI at the level of the individual, but never at the level of the organization. There is no shared layer where the work is coordinated, captured, measured, or spread. There is no central nervous system – no brain. 

This is the real diagnosis, and it explains why throwing more tools or more enthusiasm at the problem does not help. Your people have proven they can build but there is no vision, no mission and no leverage.

Until that layer exists, gains stay local and costs stay in the shadows hidden, and the company captures a fraction of what it is already paying for.

Getting organized.

The fix is not complicated, but it requires treating AI as something the organization owns rather than something individuals dabble in. The work breaks into phases, with one set of signals to watch throughout.

Phase 1 — Get your house in order.

• Name an owner. Put one person in charge with real authority and a real mandate. Not a committee, not a working group, not a side-of-desk assignment for someone already running another function. AI coordination is a job, and it needs someone whose job it is.

• Inventory what already exists. Before building anything new, find out what your people have already built on their own. Surface the lone-wolf projects, catalog them, and kill the duplicates. You cannot coordinate what you cannot see, and you are almost certainly paying for the same work several times over.

• Set the project filters. Establish the lens every initiative must pass through: is it revenue-generating or cost-optimizing? Is it attacking our biggest problem or capitalizing on our biggest opportunity? Depending on the answer, its an initiative or its a hobby, and we’re past the time for hobbies. AI didn’t obviate the need for discipline or accountability. Maybe thats coming in the model…

Phase 2 — Build momentum.

• Identify the believers. Find the people with passion, the ones excited to build real things on their own initiative. They are your power source, your proof points, and your distribution network. Recruit and organize.

• Define what success looks like. Decide, before you scale anything, what a win actually is: time saved, revenue influenced, cost removed, quality improved. Vague goals produce vague results. Force the exercise of defining success. 

• Start moving. Pick a small number of high-conviction projects and run them deliberately, with the owner coordinating, the filters applied, and the success measures in place. Build. 

What to watch for.

Two signals tell you whether impact is being achieved. 

The first: is your low-value work becoming visibly more costly as the high-value work expands? As real output accelerates, the unnecessary meetings, the redundant communications, and the coordination theater should start to feel expensive, because it is. If no one is feeling that friction, the productivity gains are not yet real enough to matter.

The second: are wins actually being adopted? When one team builds something that works, does it spread, or does it stay put? Adoption is the whole game. A win that does not travel is not leverage. 

The window is open. For now.

Underneath every one of these moves is a shift that deserves to be named directly, because it is the principle the whole effort turns on: your employees’ time, your organizations output is becoming more valuable, more juiced up but only for now.

In the short term, the gain is real. A person who can do in one hour what used to take five has become genuinely more valuable, and the work they produce carries real advantage, because the market has not yet caught up. Your competitors have absorbed gains unevenly. During this window, the productivity you capture flows straight to your bottom line. This is a real arbitrage oppty, and it is available right now.

But arbitrage closes. Anything that becomes abundant becomes devalued, and AI productivity will become abundant. As every company in your market adapts and adopts, the advantage is distilled like last months LLM.  The gains do not disappear, but they stop accruing to you. They get competed away, passed through to customers in the form of lower prices and higher expectations, until the productivity that was briefly a differentiator is simply the cost of doing business.

The company that reduced its dependence on expensive reporting and data systems, replacing them with open source and a bespoke front-end built in Claude or Codex, can expand operating margins. For now. Emphasis on for now.

This is why the moment matters. The transformation is not a project you can take at a comfortable pace, because the value of moving is highest before the rest of the market moves with you. The companies that act now capture a real and temporary advantage, and they use that advantage to build the structural capabilities that will outlast it.

The companies that wait will still have to do all of the same work, but they will do it for none of the reward, because by then it will buy them nothing more than the right to keep competing.

The harder questions are yours.

The near-term work is a coordination problem, and it is solvable with the moves above. The longer-term work is harder, because it is not about your employees at all. It is about you and the rest of your leadership team, and it begins the moment your individual contributors become meaningfully more capable.

For decades, the executive job was largely about managing constraints and allocating against them. Your people could only produce so much, so leadership existed to allocate scarce human capacity, coordinate it, and supervise it. Layers of management grew up to move information and decisions through the organization, because the people doing the work could not see the whole and needed direction.

When you turbo-charge your individual contributors, you begin to dissolve the constraint that justified much of that structure. The questions that follow are the ones your C-suite needs to start working through now, even though the answers will not be fully clear for some time.

What your organization should look like. If your best people can each do the work of several, you ma not need as many of them, and you definitely do not need as many layers of management coordinating them. The role of the manager shifts from supervising effort to orchestrating output and the development of a new central nervous system – the “brain.”

But orchestration at this level is not a management abstraction. It requires people who actually understand how the systems sync and link together, because these are no longer closed SaaS products exchanging data through basic APIs. They are open, composable, and deeply interconnected, and designing how they fit demands a hands-on technical understanding of what is actually happening underneath. This is a different job than the one most managers were trained for, and not everyone currently in a management seat will be suited to it.

Why specialization may be the wrong instinct. For more than a century, the organizing principle of business has been specialization. Frederick Taylor taught us to break work into narrow, measurable tasks and optimize each one, and every org chart since has been a variation on that idea. AI’s biggest impact on the modern organization may be to break that underlying assumption.

When a single capable person with the right tools can cover what used to require an entire function, the advantage shifts from dividing work to consolidating it, and a company can expand its purview into areas and markets it once had to buy, partner for, or leave alone.

But the same logic cuts both ways. If you can absorb the work your partners once did for you, they can absorb yours. The vendor who integrated neatly into your chain can now climb it, and the partner you relied on can become a competitor, because the barrier that kept them in their lane just fell. Reviewing your market now means asking which parts of your chain are genuinely defensible and which are suddenly exposed.

What your company is actually for. AI will deflate the cost of producing the core work, as defined today, across your industry, and differentiation will move to other areas. What remains scarce, and therefore valuable, is everything the technology cannot supply: judgment, trust, taste, the relationships you hold, and the insight into what your customers actually need. Belief in a specific future.

But the deeper question is harder, and it is one only the leadership team can answer. What are your company’s core beliefs? What is your vision of where the industry is going, and how you intend to fit into it? When the production of the work no longer sets you apart, what you stand for and where you are headed becomes the thing that does. That is not a question you can delegate, automate, or buy. It is the work of the people at the top.

These are not problems to solve this quarter. They are problems to begin thinking about now, because the companies that work through them deliberately will be positioned for the next decade, and the ones that do not will find the decade arriving without them.