Every year since 2019, marketing leaders have told researchers the same thing about how they spend their time. Roughly two-thirds goes to managing the present. Roughly one-third goes to preparing for the future. The ratio has not meaningfully moved across a period that includes a pandemic, significant economic disruption, and the rapid adoption of generative AI.

The CMO Survey, directed by Professor Christine Moorman at Duke University’s Fuqua School of Business and co-sponsored by Deloitte and the American Marketing Association, has tracked this split for years as part of its longer-running fieldwork. In its most recent edition, marketing leaders reported spending approximately 68 percent of their time managing the present and 32 percent preparing for the future — a ratio the survey notes has held steady every year since 2019.

A number that stable, across conditions that different, is not describing a mood. It is describing a structure.

This essay is about what that structure might mean for copy — not copywriting craft, but the positioning, differentiation, and message architecture copy is asked to carry. The relationship between executive time allocation and the strength of an organization’s communication is not something the available research proves. It is a serious question the evidence raises, and it deserves to be asked without overstating what the data can bear.

Pressure From Above, Reinforced Every Cycle

The time-allocation finding would be less interesting if it looked like an internal marketing preference. The data suggests something closer to a pattern reinforced from outside the function.

The CMO Survey found that pressure from CEOs, boards, and CFOs is actively reinforcing marketing’s short-term orientation, and that the predominant response from marketing leaders under that pressure is to shift further toward short-term impact — reported by 70.6 percent of respondents — and to return to established strategies, reported by 47.1 percent. This describes a loop rather than a static condition. Pressure produces a short-term response. The response does not appear to relieve the pressure; the ratio holds the following year.

None of this means the pressure itself is illegitimate. Boards are right to expect accountability, and quarterly scrutiny is a normal feature of running a company. The difficulty is that accountability measured on a quarterly cadence and positioning work measured on a multi-quarter cadence run on different clocks. An organization that rewards only the first clock will tend to under-resource the second — not through any single decision, but through the accumulated weight of many reasonable ones.

Gartner’s 2026 CMO Spend Survey adds a resourcing dimension. Marketing budgets remained essentially flat, moving from 7.7 percent of company revenue in 2025 to 7.8 percent in 2026, which Gartner describes as increasing pressure on CMOs to fund AI-enabled transformation through reallocation rather than new investment. Reallocation means something already funded gives way to something new. The CMO Survey’s own time data suggests a plausible candidate for what gives way first: whatever falls under “preparing for the future,” since it is the smaller share to begin with and the hardest to defend in a conversation measured in quarters.

This does not establish that positioning or message work is specifically what gets cut. The surveys were not built to trace that level of detail. But the structure they describe — flat budgets, reallocation pressure, and a time ratio already tilted toward the present — is not one that would be expected to protect strategic work if something had to give.

What the Missing Third Might Be For

It is worth being precise about what “preparing for the future” likely involves, because the specific content of that time is the hinge of the argument.

The survey did not measure positioning time specifically. It measured the broader availability of future-oriented marketing time — the category in which work like understanding the audience’s actual decision, establishing genuine differentiation, assembling supporting evidence, and building a coherent message architecture would reasonably need to occur. This is an interpretation of what the category likely contains, not a claim the survey tested directly.

That work is not something that compresses indefinitely without cost. Understanding a buyer well enough to write to their actual situation, rather than a generic version of their role, takes time to research and synthesize. Establishing real differentiation takes comparison and often the discipline to set aside claims that are true but not distinctive. None of it happens at the speed of a content calendar.

Copy, in this view, is not the origin of a message. It is the last visible surface of a longer reasoning process — the place where positioning and evidence either show up coherently or don’t. When copy reads as generic or unconvincing despite being well written, the writing may not be the point of failure. It may simply be where an unresolved upstream decision becomes visible, because there was nowhere else for it to surface.

A Parallel Signal, Measured Separately

If this concern has any weight, there should be some independent evidence moving in a direction compatible with it — not proof, but a signal worth noting.

Kantar’s BrandZ research tracks “meaningful difference,” the degree to which consumers perceive a brand as distinct from competitors, which Kantar identifies as the strongest predictor of brand power and long-term growth. According to Kantar’s UK Insights leadership, this measure has declined for eight consecutive years, reaching a new low in the most recent BrandZ UK ranking. Kantar attributes the decline substantially to over-investment in short-term, performance-driven activity at the expense of brand-building — a structural explanation, not an AI-era one, predating the current generative AI production boom by most of a decade.

The two research programs measure entirely different things through different methods on different populations. The CMO Survey asks marketing leaders how they allocate time. BrandZ asks consumers how distinct they perceive brands to be. No study connects them mechanistically, and this essay will not manufacture that connection.

An eight-year decline in meaningful differentiation does not validate the time-allocation hypothesis. It does show that an independently measured market condition is moving in a direction compatible with the concern the hypothesis raises. Compatible is not the same as caused by — but it is not nothing, either, for an executive deciding where to look first when distinctiveness feels harder to establish than it used to.

The Honest Counterargument: Doesn’t Faster Production Free Up Time?

There is an obvious objection worth engaging directly: if AI makes production faster, shouldn’t that free up more time for the strategic work described above? If drafting and variation now take a fraction of the time they once did, the hours saved should be available for positioning, research, and message architecture.

This is a reasonable expectation, and AI’s productivity effects in the available data are genuinely positive. The CMO Survey reports AI powering a growing share of marketing activity, alongside measurable gains in sales productivity, customer satisfaction, and reductions in marketing overhead cost. These are concrete operational improvements, not vague claims.

But the clearest test of the “saved time becomes strategic time” argument is not sentiment — it is the allocation ratio itself. And on that measure, the expected shift has not yet appeared. The present/future split has not meaningfully moved during the same years generative AI adoption accelerated fastest. If AI-driven efficiency were reliably converting into more strategic time, a survey built specifically to track that ratio is where the shift should first become visible. It has not.

This does not prove saved time is being absorbed into more present-tense output rather than redirected to strategic work — the survey was not designed to trace where saved minutes go once they are saved. But the absence of movement in the one number built to register that shift is a legitimate reason to treat “AI will free up strategic time” as an assumption still awaiting evidence, not a conclusion already delivered.

Where This Leaves the Argument About Copy

None of this establishes that any particular piece of copy is weak because of executive time allocation. What the evidence supports is narrower: the kind of time future-facing marketing work depends on has been reported as structurally limited for years, the pressure sustaining that limitation comes substantially from outside marketing, and faster production tools have not yet registered as a correction to it in the survey built to track it.

This reframes a familiar complaint. When copy across a category starts to sound interchangeable, or a message fails to land despite being clearly written, the instinct is to examine the writing — the brief, the writer, the tool, the prompt. The evidence here points to a second, less comfortable place to look first: not at what was written, but at what was decided before anyone started writing, and how much time that decision was actually given.

A copywriter cannot invent a differentiated position leadership has not yet worked out. An AI system cannot generate evidence that was never gathered, or resolve a disagreement about the audience that no one had time to have. These are not writing problems, and drafting speed does not change that. Faster production can multiply a decision that has already been made. It cannot substitute for one that has not.

A Structural Question, Not a Verdict

This data does not diagnose any single company’s marketing weakness, and it should not be asked to. What it does is put a stable, multi-year number in front of a question executives often answer by instinct rather than evidence: is the strategic work behind the organization’s messaging actually getting the time it requires, or has it been deprioritized, cycle after cycle, in favor of what could be measured this quarter?

Copy cannot answer that question on its own, regardless of how it is produced or how quickly. It is a question about what leadership has protected time for. The evidence does not say the answer is always no. It says the ratio has not moved through a period of significant change in nearly everything else — and that this is worth noticing before assuming the next campaign, or the next round of AI adoption, will resolve on its own a scarcity that has, so far, proven remarkably persistent.