The new CMO playbook: how marketers are balancing broader remits and tighter budgets

Marketing budgets across the U.S. and Europe held flat at 7.7% of company revenue in 2025, unchanged from 2024 and down from 9.5% in 2022, while only 49% of Fortune 500 marketers retained the CMO title. The article highlights a broader shift in marketing leadership toward AI, data, finance, and organizational strategy, with companies like UPS and Reckitt restructuring roles and responsibilities. It also notes that 34% expect AI to replace some creative functions, underscoring pressure on traditional marketing models.

Analysis

The market implication is not that marketing is shrinking, but that the budget is being converted from a discretionary brand-spend line item into an operating system layered across analytics, workflow, and governance. That is structurally better for software vendors that sit inside the workflow and worse for point-solution agencies whose value proposition depends on human labor arbitrage. In practice, the next 12-24 months should see spending migrate from campaign production toward AI orchestration, attribution, and customer-data plumbing — a mix that favors recurring revenue and raises switching costs.

ADBE is the cleanest public beneficiary because agentic workflows expand the addressable use case from “content creation” to “content production + activation + measurement,” which increases seat density and enterprise dependency. The second-order effect is that every incremental AI tool added by a CMO makes the stack more fragmented unless one vendor becomes the control layer; that creates a winner-take-most dynamic for platform incumbents. The risk is that AI features get commoditized faster than expected, compressing pricing power and turning the category into a race for workflow integration rather than standalone capability.

UPS is a subtler read: a more commercially integrated leadership model can improve cross-sell, but it also exposes the company to execution slippage if commercial discipline overtakes brand differentiation. For large-cap industrials, this governance shift is mildly positive only if it translates into better demand generation and pricing discipline; otherwise it is just management reorganization with no P&L impact. The contrarian point is that the headline “AI replaces creative work” may be overstated near term — the real productivity gain is in speed and decision quality, which tends to expand, not shrink, budgets for vendors that can prove ROI within a quarter or two.

Key Decisions for Investors

• Long ADBE on a 3-6 month horizon; use weakness to accumulate, targeting a re-rating as enterprise buyers shift budget from agencies to workflow software. Risk: if AI-native competitors force pricing concessions, upside caps at modest multiple expansion.
• Pair trade: long ADBE / short a basket of listed ad-agency and media-services exposure; thesis is budget migration from labor-heavy execution to software-led orchestration. Best risk/reward over 6-12 months as renewal cycles reset.
• Small tactical long UPS vs. market for 1-3 months only if management signals measurable commercial integration benefits; otherwise treat the governance change as neutral. Risk/reward is limited and should be sized as an event-driven trade, not a secular long.
• Fade the crowded 'AI kills creativity' narrative by avoiding aggressive shorts on marketing-adjacent software names unless they lack workflow depth; consensus may be overestimating near-term displacement and underestimating productivity-driven spend expansion.
• If ADBE rallies sharply on AI enthusiasm, consider selling upside call spreads rather than outright longs; the nearer-term risk is feature commoditization before monetization catches up.