David Mainiero, Chief AI Officer at AI Digital, leads AI Digital Labs to embed practical, workflow-ready AI into media and marketing.
The biggest companies in the world are in the middle of the most painful organizational redesign most of them have ever attempted. A recent interview with Ernst & Young’s (EY’s) AI leader, Dan Diasio, highlights this: Engineering departments are shrinking dramatically, job categories that existed for decades are disappearing and entire workforces are being asked to re-prove their value by building with AI, or leave.
The business press is treating this as the main event. It isn’t—it’s the cleanup.
The real opportunity is unfolding at companies that never overbuilt in the first place. Instead of tearing down and rebuilding a heavy legacy structure, these companies are moving faster because they have less to unwind. They aren’t trying to catch up to large enterprises; they’re moving on a different track entirely—one where size is no longer the prerequisite it used to be.
You Can’t Leapfrog If You’re Carrying Furniture
In developing economies, technological leapfrogging explains how countries skip entire generations of infrastructure. Much of sub-Saharan Africa never built landline networks. They went straight to mobile. No copper wire to rip out meant no copper wire standing in the way.
The same dynamic is playing out in the American mid-market.
Large enterprises spent three decades building organizational infrastructure around a specific model: deep specialization, functional silos, layered approval chains and massive production teams. That model worked when the advantage went to whoever could throw the most trained people at a problem. Now, every one of those layers has to be unwound.
Research documents this clearly: Roles are merging in combinations that would have been nonsensical two years ago, and entire functions are being absorbed by agents.
That isn’t a transformation. In my experience, most large enterprises will spend years performing it before they can focus on building again.
I recently renovated my house and my builder told me it would have been more cost-effective to knock the whole thing down and start over. I didn’t believe him at the time, but he was right. Large organizations face the same math. This doesn’t mean shutting down and restarting, but it does mean being honest about how much baggage you’re carrying. For some enterprises, the answer is a skunkworks team with zero legacy process. For others, a subsidiary is running on a completely different clock speed. Either way, you can’t move fast while dragging the old structure behind you.
A 30-person company doesn’t need that surgery and it definitely doesn’t need a two-year reorg. The founder already owns accountability, the ops lead architects the systems and the account person holds the relationships. You already have a senior hire who gut-checks everything. The enterprise is spending billions to become lean and a generalist, and the mid-market just has to be intentional about using the position it’s already in.
The Production Ceiling Just Broke
For as long as most of us have been in business, smaller companies couldn’t match the output quality of bigger ones. The large shops had production budgets, design departments and bench depth. Everyone else had a laptop, a deadline and PowerPoint.
So, ideas got crammed into the same four containers: the spreadsheet, the slide deck, the PDF and the document. These formats dominated not because they were the best way to communicate but because they were the only formats a small team could produce without a dedicated production department. When all you have is PowerPoint, everything becomes a deck.
That constraint is gone. AI can now generate the right medium, not just the right content. A pricing model becomes an interactive calculator, a campaign recap becomes a live dashboard, a competitive analysis becomes a visual map you can explore and a creative concept becomes four fully produced video spots instead of a mood board and a hope.
I’ve seen a three-person strategy team build an interactive market landscape tool for a client pitch in a single afternoon. The holding company incumbent brought 40 slides. The smaller team delivered something the CMO could touch, explore and share with her board that evening. The format itself was the reason they won.
Marshall McLuhan made the argument that the medium shapes not just the message but the thinking behind it, which applies directly to how AI is changing what smaller teams can build and how clients experience it. When you’re limited to slides, you think in slides. When the format is unlimited, you think in solutions. The mid-market was never limited by imagination. It was limited by production capacity, and that limitation no longer exists.
The Compound Effect
These two shifts reinforce each other. Structural agility gives you speed—new tools, new workflows and new ways of working adopted in weeks instead of quarters. Production capability gives you impact—deliverables and client experiences that punch far above your headcount. Speed and impact together are how a 15-person agency wins accounts from shops with 500 people, and how a boutique consultancy presents validated results while the large firm presents a plan to develop a plan.
Twenty-Four Months
This advantage has an expiration date, and pretending otherwise would be dishonest.
The large companies will finish their reorgs and they’ll emerge leaner, agent-native and still carrying the capital reserves and client rosters they’ve always had. When that happens, the structural gap closes, and so does the production gap.
That means the mid-market’s window is roughly 24 months, maybe less.
The companies that use this window to build proprietary workflows, new capability ceilings and client relationships anchored in work that nobody else can replicate will have compounded too far ahead to catch. The ones that wait for a proven playbook will find that the playbook was written about the companies that didn’t wait.
You don’t have legacy infrastructure. For the first time, that’s the advantage, so build like it.
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