Box hired people to market to specific industries.

That sounds ordinary until you read why it couldn’t before. In the company’s own words, the work would have needed too many workers to justify it. The cost of human labor killed the idea before it started. AI didn’t make that kind of marketing cheaper. It made it possible.

This came out in a New York Times piece that Box CEO Aaron Levie shared this week. The headline number is that Box created 13 new kinds of roles because of AI: AI architect, AI solutions manager, AI platform leader, forward-deployed engineers who sit with customers to set up the AI they can’t set up alone. And the company expects to grow, from 2,900 employees today to more than 3,000 early next year. More people, not fewer.

Here’s what almost no one notices in that story. Most marketing teams got handed AI with the opposite script: use it to do the same work cheaper and faster. Fewer agency hours, more drafts per hour, the same content calendar at a lower cost. That’s the default question: what do I cut?

Box asked the other one. The decision question: what marketing became possible that we weren’t doing only because it used to be impossible?

That’s the thesis, and the concrete IQ Source piece for the marketing team that wants to ask the second question is Growth Strategy. The rest of this post is why the default question is costing you what you can’t see.

A default isn’t a decision

I didn’t invent that distinction. Kaihan Krippendorff pulled it out this week from a question Jason Marx, the CEO of Wolters Kluwer Tax & Accounting, asked him: what became possible this week?

It sounds small. That’s why it lands.

Most of a marketing plan runs on default, not on decision. You renew the same agency, repeat the same channel mix, keep the same launch playbook, hold the same team shape. Not because anyone chose it this quarter, but because that’s how it came. A decision is alive: you made it in a context, with certain information, under certain assumptions. A default is what’s left when the context changed but the behavior kept going.

So the uncomfortable question isn’t whether you made the right call last year. It’s this: if you arrived at your marketing plan today, knowing what you know now, would you renew that agency, staff content the same way, run the same launch? If the honest answer is “I’m not sure,” that’s not a decision anymore. It’s a default with a budget.

I’ve been watching marketing’s tools change since 1990. First the web, then search, then social, then martech. Every jump, the teams that won didn’t ask how to run the same campaigns cheaper. They asked which channel, which segment, which move had just become reachable. The ones who only made the old work cheaper showed up late to what mattered, and they did it proud of their efficiency.

What became possible in marketing, and almost no one is doing it

Let me make it concrete, because the decision question is useless in the abstract.

Per-industry messaging, at a granularity that used to need a research team. This is exactly what Box hired people to do. Speaking differently to a law firm, a clinic, and a distributor used to mean three market studies, three rounds of copy, three approvals. The labor cost killed it. Now that cost dropped far enough that the idea is back on the table. Not to make it cheaper: to do it at all.

AEO, getting cited by the answer engines. When a prospect asks ChatGPT, Perplexity, or Claude “who does this in Central America?”, your company is either in the answer or it doesn’t exist. That’s AEO, and as a discipline it didn’t exist as a category 18 months ago. It’s not cheaper SEO. It’s a new field where almost none of your competitors are standing yet.

Competitive intelligence on demand. Mapping what your competitors are saying, shipping, and positioning stopped being a quarterly agency project. It’s a query you run Tuesday and have by Wednesday.

Testing positioning weekly instead of quarterly. The old loop was define the message, produce it, wait the quarter, measure. The new loop lets you test three angles this week and keep the one that moved the needle. Speed changes the nature of the work, not just its cost.

Notice the pattern. None of these four is a cheaper version of what you already did. Each is work that wasn’t viable before. That’s the line between the default question and the decision question, and it separates the team that opens a market from the team that prints the same flyers for less. If you want the other side of this same coin, I already wrote about the AI marketing spend nobody is measuring. Measuring what you spend is hygiene. Seeing what’s already possible is strategy.

What the optimists are selling, and what the data doesn’t show yet

Now, before this reads like a brochure, the uncomfortable part.

The “AI creates jobs, relax” story is also sold by the people who sell AI. Box sells AI. Several of the newsletters that amplified this story this week are raising a round. When someone with a direct stake tells you the future is bright, read with one eyebrow up.

And the macro data is sobering. An NBER survey of roughly 6,000 executives across four countries found nearly 9 in 10 firms saw no measurable AI impact on jobs or productivity over the past three years. AI is in every deck and in none of the macro numbers yet.

That doesn’t contradict the Box story. It explains it. Box isn’t proof the economy reorganized. It’s proof that one company went looking for the new work and found it, while almost no one else went looking. Most stayed on the default question, cutting, which is exactly why they show up in no productivity number: doing the same work cheaper doesn’t move the business needle, only the cost line.

The lesson isn’t to relax or to panic. Both are defaults dressed up as a stance. Relaxing assumes the new work arrives on its own. Panicking assumes the train already left. The only answer that isn’t a default is to go look, inside your own marketing, for what became possible, and decide on purpose which of it is worth doing.

What we do about this at IQ Source

When a marketing team calls us, the first question is almost never “which AI tool should I buy?” That’s the default question again, in purchasing form. The first question we ask is the reverse: what does this team want to do that it doesn’t do today because it looked impossible or too labor-heavy?

AI Maestro is the discovery where that gets mapped. Two months where we surface the real marketing processes, not the org-chart ones, and pin down exactly what new work became reachable and what each piece is worth. Out of it comes an Opportunity Score with priorities and a Go/No-Go gate, because not everything that became possible is worth doing yet. Some of it is. Some can wait. Deciding which is which is the work.

And Growth Strategy is where it gets executed. Not as one more subscription to make the old work cheaper, but as the concrete move toward the marketing that’s already possible and your competitors aren’t doing yet. This is the opposite of automating for the sake of automating: it’s not about bolting AI onto every task, it’s about choosing the new work that actually moves the business.

Before you close the week, ask your marketing team one question. Not “what are we doing cheaper with AI?” You can already answer that. Ask the other one: what would we say yes to for a client today, what segment would we open, what campaign would we run, if we knew labor was no longer the limit? If nobody has the answer ready, that’s exactly the marketing slipping past you.

Find the marketing you can already do