Fifty-nine percent of Australian marketing leaders say they struggle with decision complexity as the number of AI tools in their stacks keeps growing, according to a new report covered by Marketech APAC.

The figure lands at a moment when marketing departments across the Asia-Pacific region are absorbing wave after wave of AI-assisted tooling — copy generators, media planners, analytics copilots — and finding that more options do not automatically produce better calls.

What does the report actually say?

The headline number is 59%. That is the share of Australian marketing leaders who report that multiplying AI tools have made their decision-making environment harder to manage, not easier.

The report frames this as a complexity problem rather than a capability problem. The tools exist and teams are adopting them. The pain point sits one layer up: choosing which tool to use for which decision, reconciling their outputs, and keeping accountability clear when several systems offer conflicting recommendations.

For operators, the pattern will feel familiar. Every new AI capability adds a decision node. Which model drafts the brief? Which platform validates the spend allocation? Who signs off when two dashboards disagree? The report's 59% figure puts a number on that accumulating friction.

Why does this matter for marketing teams?

Decision complexity carries real costs, even when it never appears on an invoice:

• Slower campaign approval cycles as teams weigh competing AI-generated options
• Inconsistent brand and budget decisions when different tools apply different logic
• Heavier cognitive load on leadership, with more inputs per choice and no reduction in accountability
• Tool sprawl that outpaces governance, training and measurement frameworks

The Australian result suggests adoption has run ahead of consolidation. Teams now own more decision-support capability than they have processes to govern it.

What should readers take from it?

The report is a caution against reading AI adoption as a straight line to faster, cleaner decisions. In the Australian sample, a majority of marketing leaders — 59% — report the opposite effect at the level of decision-making, even as the underlying tools perform their individual tasks.

The practical implication for operators: audit the decision path, not just the tool list. Where multiple AI systems feed the same choice, someone still owns the call, and that ownership needs to be explicit.

Marketech APAC's coverage of the report is available for readers who want the underlying methodology and full dataset.

We will follow this story as further regional breakouts from the report emerge.