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
In the mid-19th century, photography arrived and did something that seemed, at first, like a threat to painters. It could depict reality with a precision and speed that no human hand could match. The argument went: why hire a portrait painter when a camera could do it faster and more accurately?
What actually happened was the opposite of what anyone expected.
Consider the two portraits above. The first is Jean-Auguste-Dominique Ingres' Baron Joseph-Pierre Vialetès de Mortarieu, painted in 1805, precise, controlled, faithful to the subject. This is what painting was for. Documentation. Likeness. The careful reproduction of a person as they actually appeared.
The second is Vincent van Gogh's Portrait of a Peasant (Patience Escalier), painted in August 1888, roughly eighty years later, and a world apart. Van Gogh wasn't trying to document Patience Escalier. He was trying to express something about labor, heat, endurance, and humanity that a camera could never capture. The swirling brushwork, the saturated color, the raw emotional charge, none of it exists to reproduce reality. It exists because the camera had made reproduction beside the point.
Freed from the obligation to document, painters stopped competing with the camera on its own terms. They went somewhere the camera couldn't follow. Monet started painting light rather than objects. Cézanne broke form into planes of color. Picasso dismantled perspective entirely. The camera didn't kill painting. It liberated it — into Impressionism, Post-Impressionism, Cubism, and a century of movements that couldn't have existed while artists were still obligated to reproduce the visible world.
The technology didn't take the job. It changed what the job was for.
This is the moment AI represents for creative teams. Not a threat to replace human creativity, but a pressure to clarify what human creativity is actually for, and an opportunity, if leaders choose to take it, to finally let creative people do the work they've always been capable of.
The response to technology shifts
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. IKEA can produce a chair faster and cheaper than any craftsman alive. But there's a reason people seek out Amish solid wood furniture built by hand, and wait months for it. One is a product. The other is a decision.
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