How AI Raises The Stakes For CMO-CIO Collaboration

AI turns CMO-CIO collaboration from a coordination issue into a control issue. As marketing teams experiment with AI-native tools and CIOs tighten data, privacy and IP guardrails, the real question is no longer whether the functions should work together, but how they will make decisions when speed, risk and brand outcomes all compete.

The management implication is that joint ownership needs to be explicit. If marketing can procure tools, data models or agents outside IT oversight, the organisation may gain speed but lose visibility, security and spend discipline. If IT controls every choice, the business may avoid risk but miss time-sensitive opportunities. Leaders should define where autonomy is acceptable, where review is mandatory, and which decisions require shared sign-off.

AI also changes portfolio management. The issue is not just adding new tools; it is deciding what to retire, standardise or defer. That means evaluating AI investments against business value, total cost of ownership, data readiness and integration burden. The useful next question for executives is: which three marketing workflows should we redesign first, and what measurable outcome will justify scaling them?

Finally, the collaboration model needs to support new skills and accountabilities. Cross-functional teams can help, but only if they are given clear product-like ownership, not just informal liaison roles. Organisations should ask whether their current operating model produces faster decisions, clearer escalation and better adoption โ€” or merely more meetings. In AI-enabled marketing, the quality of the governance structure will shape both innovation and control.


Marketing and technology have never been more intertwined, yet effective collaboration between these functions remains elusive for many organizations. As AI accelerates transformation across workflows, this misalignment can become a liability.

While collaboration improved during the pandemic, progress has stalled due to lack of goal alignment, communication failures, and conflicting priorities and budgets.

GenAI And Agentic AI Technologies Amplify Existing Challenges

The successful integration and deployment of AI initiatives will hinge on healthy collaboration and alignment between IT, marketing, and other critical business functions. This is because AI:

  • Both consolidates and fragments the martech landscape. AI is lowering the barrier to entry for software development, fueling the creation of a โ€œhypertailโ€ of specialized, AI-native start-ups. Thousands of new AI-native solutions continue to enter the market, while many legacy tools fade out, as evidenced by Scott Brinker and Frans Riemersmasโ€™ย 2025 martech landscape. CMOs must navigate a dual reality: Their existing โ€œlegacyโ€ tech stack may be at risk of becoming obsolete, while theyโ€™re simultaneously confronted with an overwhelming array of new โ€” often unproven โ€” AI-native point solutions.
  • Can exacerbate marketing and technology misalignment. Most CMOs still lack influence over AI strategy, which remains dominated by CIOs, CTOs, and other technology leaders. However, marketing will increasingly depend on functionโ€‘specific small language models and AI agents that must be tightly woven into their daily workflows. CIOs, prompted by the hyperadoption of generative AI (genAI)ย  tools by individual workers, are imposing guardrails to protect data, privacy, and IP โ€” a necessary move that can unintentionally create further tension between marketing and technology teams.
  • Unlocks new ways of working between marketing and IT. โ€œWhile dealing with legacy IT is still difficult, I believe AI will provide an opportunity for marketers to internalize capabilities and reduce their dependency on legacy IT/agencies. If we find the right skills โ€” like we did when we internalized digital media buying โ€” it should be easier to collaborate with technology teams,โ€ said Nikos Vlachopoulos, commercial director and CMO at Vodafone.

Embrace Collaborative Leadership

To overcome potential pitfalls, CMOs must embrace a new leadership style to break traditional silos and create the right environment for good decision-making. In their quest to improve collaboration, leading CMO/CIO partnerships:

  • Cocreate martech strategy, planning, and execution. CMOs and CIOs should jointly anchor martech decisions in business objectives, connect annual planning to longโ€‘term priorities, and ensure that execution delivers rapid, measurable outcomes. โ€œAI is a good opportunity for partnering with technology teams to challenge the real value and the total cost of ownership of some platforms: We must build tomorrowโ€™s new martech, but not with yesterdayโ€™s CRM tools,โ€ said Pierre-Yves Callocโ€™h, former global CDO at Pernod Ricard.
  • Share aligned goals centered on customer obsession. CMOs and CIOs need to move from separate KPIs to co-owning business-level goals. By jointly aligning around shared metrics, they eliminate conflicting priorities and reinforce accountability from both functions. When both sides measure success the same way, decisions naturally orient around outcomes rather than organizational boundaries.
  • Hire, train, and empower cross-functional teams to make faster decisions. Recruiting challenges and talent gaps are often mentioned as barriers to broader team collaboration. To overcome this, leaders should jointly interview and hire hybrid skill sets, as well as training employees in both departments in new skill sets, with the goal of improving their understanding of each otherโ€™s projects, processes, culture, and communication styles. โ€œItโ€™s key to understand marketing processes, and to spend time on the ground with marketers to understand what the data really means and where to find it,โ€ said Paul Gallavardin, chief data officer at Autodistribution.
  • Evolve a collaborative mindset. Marketing and IT leaders should focus less on ownership and more on defining how each team contributes to innovation. Quentin Briard, CEO of marketing, digital, and technology at Club Med, described his teamโ€™s blend of โ€œdiverse specialist expertiseโ€ across brand, product innovation, data, AI and digital capabilities, a mix which he says โ€œbecomes even more powerful with AI.โ€ Thereโ€™s no perfect org model; the right structure depends on each organizationโ€™s culture and legacy.
  • Mutually embrace each otherโ€™s empathy, trust, and respect. By moving beyond transactional relationships, CMOs and CIOs can recognize the complexity of each otherโ€™s roles. In doing so, they treat each other as strategic partners as opposed to service providers, enabling faster and smarter decisions.
  • Institute formal governance processes while developing formal relationships. A joint martech governance model makes it explicit when you need a decision, who makes it, and whoโ€™s responsible for implementing it. This is crucial for accelerating decision-making, budgeting, and speed to market; however, donโ€™t underestimate the importance of personal relationships, informal meetings, team building, and colocation in establishing a trusted CMO/CIO relationship.

Clients who want to better understand the reality of how marketing and technology teams collaborate can read the report, The State Of CMO/CIO Collaboration For 2026. Schedule a conversation with me to go into the details of what it means for you for your particular industry or country.

ย (This blog post was cowritten with Maeve Oโ€™Keeffe.)

https://www.forrester.com/blogs/how-ai-raises-the-stakes-for-cmo-cio-collaboration/

Enjoyed this article? Sign up for our newsletter to receive regular insights and stay connected.