Is AI Redefining the C-suite?
The Australian
ENRICHED
Details
- Date Published
- 3 Aug 2026
- Priority Score
- 2
- Australian
- Yes
- Created
- 4 Aug 2026, 06:01 am
Description
For years, the relationship between the chief marketing officer and chief information officer has followed a familiar pattern. Marketing pushed for speed, creativity and customer engagement while technology teams focused on security, governance and stability. Both functions wanted growth, but they often approached it from different directions. That model worked when marketing technology largely supported campaigns, but it no longer works in the age of AI.
Summary
This article explores how agentic AI is forcing a structural collapse of traditional corporate silos, requiring unified governance and shared accountability between CMOs and CIOs. It highlights that 93% of surveyed organizations now consolidate AI technology strategy and business transformation under a single executive, emphasizing the move toward AI as an enterprise-wide operating system. While mentioning agentic AI's ability to plan and reason with limited human intervention, the focus remains on organizational alignment and data readiness rather than technical catastrophic risk mitigation. The piece underscores that successful AI integration in the Australian and JAPAC business landscape depends on establishing robust governance frameworks to manage the transition to autonomous agentic workflows.
Body
AI is changing more than marketing, it’s redefining the C-suiteTo scale AI effectively, organisations must move past siloed tech investments and focus on what actually drives results: connected data and shared executive accountability.Duncan EganAs artificial intelligence evolves into an enterprise-wide operating system, traditional silos between marketing and IT are collapsing and making way for a more unified future.Gift this article3 min read12:00AMAugust 03, 2026For years, the relationship between the chief marketing officer and chief information officer has followed a familiar pattern. Marketing pushed for speed, creativity and customer engagement while technology teams focused on security, governance and stability. Both functions wanted growth, but they often approached it from different directions. That model worked when marketing technology largely supported campaigns, but it no longer works in the age of AI.As organisations move beyond experimentation and begin embedding AI across customer experience, content creation and enterprise operations, the traditional boundaries between marketing and technology are breaking down. AI is no longer another tool sitting inside the marketing stack. It is becoming part of the operating system of the modern enterprise.The organisations that succeed will not simply deploy better technology. They will build stronger partnerships between the leaders responsible for growth, data and digital transformation.Duncan Egan is the vice president Enterprise Marketing JAPAC at AdobeNew research from IDC, sponsored by Adobe, reinforces just how significant this shift has become. According to the IDC InfoBrief, Strategic C-Suite Collaboration: CIO-CMO Alignment for AI-Era Martech Success, 82 per cent of respondents believe AI will strengthen collaboration between CMOs and CIOs over the next 18 months. That is an encouraging sign that organisations increasingly recognise AI cannot be owned by a single department. It also reflects a broader reality. AI has become a boardroom issue rather than simply a technology initiative.Today’s CMOs have evolved well beyond brand stewardship. They are increasingly responsible for customer experience, first-party data strategies and revenue growth. At the same time, CIOs have expanded far beyond managing enterprise infrastructure. They are now helping shape business strategy, customer engagement and enterprise transformation.The IDC InfoBrief found that 93 per cent of organisations say the executive leading AI technology strategy is the same person leading AI transformation across the business. That reinforces the expanding role of CIOs and CTOs as enterprise leaders while highlighting the growing interdependence between marketing and technology.This is particularly evident as organisations begin adopting agentic AI. Unlike earlier forms of automation, agentic AI is capable of planning, reasoning and executing complex workflows with limited human intervention. Delivering on that promise requires much more than deploying a new application. It depends on trusted data, clear governance and close collaboration across functions that have historically operated independently.This is where many organisations encounter their biggest challenge. The technology itself is advancing rapidly. Organisational alignment is not. The research uncovered persistent gaps around governance, budgets and decision making that continue to slow progress. One of the clearest examples is ownership of marketing technology investment. According to the IDC InfoBrief, “a total of 42 per cent of marketing executives believe they own the budget for technology, but only 15 per cent of IT leaders agree”. This may appear to be an administrative disagreement, but in reality it reflects deeper questions about accountability. Who owns customer data? Who decides how AI is deployed? Who is responsible when systems span marketing, technology, sales and customer service simultaneously? Without clear answers, AI initiatives risk becoming fragmented, duplicative and slower to deliver value.Perhaps the most revealing finding in the research is that data remains the greatest barrier to scaling AI.Many organisations believe they have abundant customer information. Far fewer have data that is connected, governed and ready for AI-driven decision making. The IDC InfoBrief shows 42 per cent of IT leaders and 29 per cent of marketing leaders say they have AI ready data capable of enabling cross functional orchestration. This matters because AI is only as effective as the information that powers it.Disconnected customer records, inconsistent governance and siloed systems limit AI’s ability to personalise experiences, automate decisions and generate meaningful business outcomes. Investing in sophisticated AI capabilities without first addressing data readiness is unlikely to produce the transformation many organisations expect.The companies making the greatest progress understand this. Rather than treating AI as another marketing initiative or another IT project, they are approaching it as an enterprise capability that requires shared ownership. Marketing contributes customer understanding and growth strategy. Technology provides secure infrastructure, governance and scalability. Data teams ensure information can be trusted and connected across the organisation. Success increasingly depends on these functions operating as one leadership team rather than separate business units.The most effective organisations establish common objectives, shared success measures and governance frameworks that allow responsible experimentation without creating unnecessary friction. AI rewards organisations that combine creativity with discipline, not one at the expense of the other. This represents a significant leadership shift. Every major technology wave has reshaped organisational structures. The internet created digital teams. Cloud computing transformed enterprise technology. Mobile changed customer engagement. Agentic AI may prove even more significant because it touches almost every part of the business simultaneously.That means future competitive advantage will depend less on which organisation purchases the most advanced AI platform and more on which leadership teams are capable of working together to unlock its full value. The conversation should no longer be about whether AI belongs to marketing or technology. The question is whether organisations are prepared to rethink how their leaders collaborate in an AI-powered future. Companies that lead the next decade of growth will not be those with the smartest algorithms alone. They will be those with the strongest alignment between the people responsible for turning technology into business outcomes.Duncan Egan is vice-president of Enterprise Marketing JAPAC at Adobe.This content was produced in partnership with Adobe.This content was produced in partnership with Adobe. Read our policy on commercial content here.Read related topics:Artificial Intelligence