Every Creative Team Has a List. AI Just Cleared the Runway.
In every in-house role I've had, there was always a list.
Not the production backlog, everyone has that. I mean the other list. The observations nobody had time to follow up on. The friction points in the customer journey that kept coming up in meetings and getting tabled. The positioning questions that sat unanswered for months because there was always something more urgent. The ideas that weren't campaign ideas, they were bigger than that. Whole product narratives. Category-defining moves.
The kind of thinking that could change how a company competes, not just how it looks.
Design that performs, that shortens sales cycles, drives conversion, builds brand trust before a prospect reads a single word, doesn't come from a production schedule. It comes from designers who have time to think. And most don't.
That list never went away. It just sat there, growing quietly in the background, while the team ran harder to keep up with production.
I've been thinking about that list a lot lately.
The efficiency trap: we've been here before
There's a pattern worth naming. When a new technology promises to save time, the time rarely gets saved. It gets reassigned.
The industrial revolution automated physical labor and created the factory worker, someone whose job was now to keep pace with the machine, not to think alongside it. The efficiency gains were real. But they didn't produce more rest, more creativity, or more space for deeper work. They produced more work. The baseline just moved up, and the expectation followed.
We've been running the same pattern ever since. Faster tools, higher output expectations, less room to think. Anne Helen Petersen wrote about this in her landmark burnout essay, the way optimization became a way of life, and how efficiency gains at work never translated to more freedom. They translated to more work, at a faster pace, with fewer people to do it.
The same logic shows up in how markets get consolidated and optimized for extraction. When the goal is short-term returns rather than long-term value, quality gets hollowed out, creativity gets cut, and everything starts to look and feel the same. You can see it everywhere once you start noticing, the uncanny sameness of brands that were once distinct, the erosion of the thing that made them worth choosing in the first place.
AI is at risk of following the same pattern inside creative teams. Efficiency gains that get immediately reinvested in more production. More assets, more content, more output, until the brand looks like everything else in the feed, and nobody can remember what made it different.
Seeing technology as opportunity
IDEO published a piece recently that put language to something I've been feeling for a while. They call it the AI Dividend: the surplus of human bandwidth and creative energy that automation liberates. The organizations that win, they argue, won't be the ones that automated fastest.
They'll be the ones that invested the resulting capacity most wisely.
The research behind this is worth sitting with. When the marginal cost of execution approaches zero because anyone can produce a decent landing page or a polished deck, what distinguishes one brand from another?
When speed and cost are table stakes, the advantage shifts to judgment and taste.
The market always bifurcates in response to commoditization. A factory can produce a chair faster and cheaper than any craftsman alive — and most people will buy that chair. But there's a reason some people seek out furniture built by hand from solid wood, wait months for it, and pay ten times the price. One is a transaction. The other is a choice about what you value.
When everything becomes available fast and cheap, the premium doesn't disappear, it shifts to the work that carries evidence of a human mind behind it. William Morris understood this in 1870s England and built an entire design movement on it.
History keeps offering the same lesson. The response to technological sameness isn't more sameness at higher speed. It's the thing that technology cannot do.
What this means for your team right now
Your creative team has a list. I'd bet on it.
The ideas that never got space. The problems they've been watching compound for months without anyone having time to properly solve them. The campaigns they've wanted to try. The brand questions that keep coming up in meetings and getting tabled because there's always something more urgent. The strategic work that keeps getting pushed in favor of the next asset request.
Before you reinvest the dividend, check the foundation.
The AI efficiency argument only works if what you're building on is solid. If your brand system is fragmented across inconsistent channels, held together by one person's institutional knowledge or running on templates built under deadline pressure, then recovering creative time just means producing more of the same problem faster.
The first investment worth making isn't more production capacity. It's the brand foundation that makes everything else perform.
Not sure if your brand system is working? Start here.
AI is clearing the runway for that list. The question is whether you let the plane take off, or just load it with more cargo.
Are you using the efficiency gains to finally give your creative team room to work on the things that actually matter? Or are you filling the recovered time with more production, moving faster toward the same place as everyone else?
The camera didn't make painters irrelevant. It made them free.
The organizations that understand this moment the same way, that treat AI as liberation rather than just acceleration, are the ones that will build something their competitors can't copy. Because what they're building isn't faster production. It's compounding creative judgment. And that, unlike an AI tool, cannot be instantly replicated by everyone else.
The list is still there. It's been waiting for exactly this moment.
If you're thinking about how to invest your team's creative capacity differently, I'd love to think through it with you.
Further reading: The AI Dividend by Tim Brown and Joe Gerber at IDEO. And on what taste actually is and how it gets built, I wrote about that here: When Design Execution Is Free, Taste Is Everything