Today’s CMO doesn’t just compete against brands. They compete against internal skepticism. In many organizations, marketing has gone from being “the department that creates campaigns” to “the department that has to justify every penny as if it were CAPEX.”. And at the same time, it stopped controlling its own playing field: distribution and optimization shifted toward automated systems that decide, in real time, which message is shown, to whom, and with what creative combination.
Marketing enters the era of “less”
The context is not perception; there is clear evidence that room for maneuver has narrowed. Gartner reported that marketing budgets fell to 7.7% of revenue in 2024 (down from 9.1% in 2023), describing it as an “era of less,” marked by structural pressure on spending. In 2025, Gartner again noted that budgets had “flatlined” at the same level, reinforcing the idea of stagnation in relative investment.
In parallel, direct pressure from finance has become explicit. The CMO Survey (Duke/AMA/Deloitte) reported that 63% of CMOs feel increased pressure from the CFO compared to previous measurements, and that the main tension lies in proving impact on financial results. When money becomes more expensive—or feels scarcer—marketing enters the operating room: it is audited, asked for causality, and cut wherever results cannot be explained in a dashboard.
Up to this point, the problem might seem “only” budgetary. It is not.
Efficiency is purchased with autonomy
While the CFO tightens control, platforms offer a seductive way out: automation. Google, for example, describes Performance Max as a campaign type that uses Google AI to optimize bids, budgets, audiences, creatives, and attribution in real time across multiple inventories. The promise is tempting for any audited organization: “less friction, more results.”
The hidden cost is that the CMO begins to lead a system where optimization logic does not always align with brand logic. The algorithm tends to reward what converts today, not necessarily what builds preference tomorrow. And when performance becomes the dominant language to convince the CFO, marketing falls into a trap: it confuses what is measurable with what is valuable, and what is immediate with what is important.
When the CFO demands certainty and the market offers fog
The paradox deepens because measurement is becoming more difficult precisely when greater precision is demanded. Part of that difficulty comes from structural changes in privacy and tracking. Academic research has quantified the economic impact of policies such as Apple’s App Tracking Transparency (ATT) on targeted advertising effectiveness and advertiser performance, showing that the industry has moved into a more complex environment for attribution and optimization. At the same time, European regulators have questioned how ATT was implemented due to its competitive effects, confirming that this is not a “minor adjustment” but rather a regime change in the advertising ecosystem.
This is how the central conflict of the contemporary CMO emerges: the CFO demands causality; reality offers probabilities. The algorithm promises optimization, but often operates as a black box. And the CMO is left in the middle, trying to sustain creativity through narrative while the organization simultaneously demands surgical efficiency and financial certainty.
The mistake is not using algorithms — it is giving up control over them
It would be easy to fall into nostalgia: blaming finance for “not understanding” and platforms for “automating everything.” That reading is comfortable—and sterile. The useful critique is another one: in too many companies, marketing became accustomed to asking for faith instead of building evidence, and to buying efficiency from platforms instead of designing its own learning system.
The CMO who only defends creativity without translating it into business terms loses to the CFO, because the CFO speaks the language of risk and return. But the CMO who fully surrenders to algorithmic optimization loses to the market, because the brand becomes interchangeable: if everything is optimized the same way, everything starts to look the same.
Real leadership today consists of building a bridge between both worlds—not to please them, but to govern them.
How to lead when budgets are audited and creativity is optimized
The starting point is accepting that the CMO no longer runs only campaigns: they manage an investment portfolio under scrutiny. That requires a clear financial narrative, with shared definitions of what is measured, what is attributed, and what is assumed. The CMO Survey emphasizes that pressure is not just about reporting, but about demonstrating financial impact; that is the playing field, and it must be played better.
The second step is reclaiming sovereignty over learning. If Performance Max and similar systems optimize creatives and audiences, the CMO’s role is not to fight that, but to design the framework of inputs, criteria, and creative quality so automation works for the strategy—not against it. Google itself acknowledges that AI is strengthened by what advertisers contribute: objectives, audience signals, high-quality creative assets, and valuable conversions. Automation does not eliminate strategy; it punishes its absence.
The third step is protecting brand building as an asset that also performs in the short term, not as a romantic luxury. There is serious evidence and discussion about the asymmetry between short and long term, and about how brand building can improve even immediate results—exactly what the CFO wants to see. When the CMO translates “brand” into price elasticity, trust, and activation efficiency, they stop asking for permission and start justifying investment with business logic.
The new CMO doesn’t ask for budget — they earn it
The CMO trapped between the CFO and the algorithm has two easy exits: becoming a performance manager who reports ROAS without building meaning, or becoming a defender of creativity who cannot explain returns. Neither is leadership.
The hard—and only sustainable—path is becoming a growth architect: someone who understands finance well enough to audit their own work, and understands systems well enough not to be governed by a black box. In the decade of optimization, the true competitive advantage is not having better algorithms. It is having better decisions.
