Marketing teams are buying AI before they can govern it

AI is already a material line item inside marketing budgets, even when the operating model to govern it is still catching up.

CMO.Works, citing The CMO Survey’s Spring 2026 report, says CMOs allocate 15.3% of marketing budgets to AI on average in 2026. The same post says only 30% of organizations report having mature AI-readiness capabilities, and that the “mature” cohort allocates 21.3% of budget to AI.

That gap between spend and readiness is the operational story. It shows up as messy measurement, unclear data access rules, and duplicated tooling, long before it shows up as “better creative.” For enterprise marketing ops leaders, 2026 planning is becoming less about whether to use AI and more about which constraints to fix first so AI doesn’t just scale chaos.

The new benchmark argument: product vs. services and stage still set the range

Budget planning still starts with the unglamorous baseline: what share of revenue marketing is expected to consume for the business you actually run. CMO.Works’ 2026 benchmarks highlight that “B2B vs. B2C” is not the clean divider many teams use in budget conversations.

Pulling from The CMO Survey Spring 2026 segment breakdown, CMO.Works reports marketing spend as a share of revenue at 12.0% for B2C product companies, 7.2% for B2C services, 7.0% for B2B product, and 10.1% for B2B services. In other words, B2B services can outspend B2C services, and B2B product sits close to B2C services.

For SaaS operators trying to reconcile corporate targets with go-to-market reality, CMO.Works also publishes stage benchmarks for B2B SaaS marketing spend as a share of ARR: 15% to 25% at pre-seed and seed, 12% to 18% at Series A, 11% to 16% at Series B, 10% to 14% at Series C, and 8% to 12% at Series D+. The direction is clear even if the mechanism varies by company: the share compresses as revenue grows and marketing costs get spread over a larger base (according to CMO.Works).

Forrester sees budget optimism, but volatility is reshaping where dollars land

Forrester’s 2026 budget planning guidance lands on a different point: many B2B marketing leaders expect to have more dollars to allocate, but they’re planning in a market that punishes unfocused spend.

In a post linked to its Budget Planning Guide for B2B marketing executives, Forrester says 83% of B2B marketing decision-makers anticipate higher investment in the coming 12 months. The firm also breaks out regional details: in the US, 37% of marketing decision-makers are “quite optimistic” and foresee a budget increase of 5% or more. In Europe, many respondents say they invest 9% of revenue in marketing, and 37% expect budgets to rise. In Asia Pacific, Forrester says just under half of respondents plan to put 7.1% or more of revenue into marketing, and the region shows the largest planned investment increase across programs, personnel, and technology.

The planning implication for global operators is that shared services and platform teams may see pressure from both sides at once: regions with lower marketing as a share of revenue still want faster capability build, and regions with higher spend levels want that spend to look more defensible. In practice, that tends to push spend toward measurement, data infrastructure, and content systems that can be reused across markets, because those are among the few investments that can survive both expansion and retrenchment cycles.

CMI’s 2026 maturity framing aligns with the “fundamentals first” operating model

Content Marketing Institute’s “B2B Content and Marketing Trends: Insights for 2026” adds a telling methodological change: it moved away from slicing respondents by budget or reporting lines, and instead segmented marketers by how well they align with trends shaping the next few years. The survey covers 1,015 B2B marketers and was conducted with MarketingProfs, according to CMI.

Even without treating AI as the whole story, that segmentation choice reflects what many enterprise teams are feeling: capability maturity predicts outcomes better than raw spend. CMI’s write-up emphasizes that teams performing best are strengthening fundamentals, then using AI to accelerate those efforts, rather than treating prompts and volume as the strategy.

For marketing ops, this is where budget meets workflow. A team can allocate 15.3% of budget to AI (CMO.Works) and still underperform if it lacks governance over first-party data, a measurement model that sales and finance trust, and a content supply chain that can produce modular assets instead of one-off campaigns.

Where the money fight is moving: AI tooling, AI search visibility, and the data layer

The three sources converge on a practical reality: the 2026 budget debate is shifting from “how much do we spend?” to “what do we stop doing so the operating system improves?”

Forrester explicitly advises divesting from unfocused campaigns and redundant tools, and recommends replacing manual work with AI in areas like data entry, content creation, and email sequencing where automation is feasible. It also recommends reallocating at least 15% of content or digital spend to improve AI search visibility through tactics including modular content and schema markup, according to the Forrester post.

CMO.Works’ AI allocation benchmark creates a second reference point to pressure-test those reallocations. If AI is already 15.3% of budget on average, and Forrester is telling teams to reallocate 15% of content or digital spend toward AI search visibility work, the near-term challenge is less “finding budget for AI” and more preventing overlapping investments from proliferating across content teams, demand gen, web, and marketing analytics.

Questions to settle in 2026 planning before the tool purchases land

• What exactly counts as “AI” spend in the budget? CMO.Works reports AI as 15.3% of marketing budget in 2026. Finance often sees AI costs scattered across martech, agencies, data, and IT. Define the cost centers before comparing to benchmarks.
• Can the org pass a basic readiness gate? CMO.Works says only 30% report mature AI readiness. Translate “readiness” into concrete controls: approved data sources, legal review paths, model and prompt logging where needed, and a clear owner for output QA.
• Which benchmark is the right anchor: segment, stage, or region? CMO.Works’ B2B product vs. B2B services numbers (7.0% vs. 10.1% of revenue) and its SaaS stage ranges are different answers to different questions. Forrester’s 9% Europe and 7.1%+ Asia Pacific reference points add geographic reality for global teams.
• If budgets rise, where does capacity go first? Forrester reports Asia Pacific expects the highest planned increases across programs, personnel, and technology. Shared services leaders should pre-negotiate what “more headcount” means operationally: content ops, marketing analytics, web governance, or campaign execution.
• What gets shut down to fund AI search visibility work? Forrester’s recommendation to reallocate at least 15% of content or digital spend only works if the team names specific programs to pause, and agrees on what success looks like in measurement terms.