Australian CFOs are eyeing AI marketing budgets as token costs climb
Australian marketing teams are spending more on AI than their finance teams are comfortable with, and the mismatch is starting to surface in budget conversations. That’s the headline finding from IBM’s 2026 ACAM Australia AI in Marketing Benchmark Report, which surveyed 126 Australian CMOs and senior marketing leaders across 12 industries.
The jackhammer problem
Douglas Nicol, co-founder of ACAM, put the core issue plainly at the IBM event where the report was presented: marketers are running expensive frontier models on tasks that don’t need them.
“We actually use AI frontier models to solve relatively simple marketing problems. But it’s a problem because you are in effect using a jackhammer to open a walnut. And that means that your burn rate of tokens and the cost of AI is going to increase more and more during the course of the year.”
The result: CFOs are already starting to complain. Token costs scale with usage, and as AI adoption accelerates across marketing teams, the line items are getting hard to ignore.
The arranged marriage problem
Cost pressure is compounded by a structural shift in how organisations are accessing AI. Last year, most marketers used private accounts and individual tools. This year, the report found a move toward enterprise-wide deals with major AI platforms.
Nicol described these as arranged marriages: organisations locked into a single platform they didn’t necessarily choose. The satisfaction split is notable. According to the report, 55% of CMOs rated their enterprise AI platform arrangements as good or better than expected. The other 45% said they were disappointed, found the platform harder to use than expected, or rated it as only adequate.
Three snapshots from the CMO panel
A CMO panel at the conference illustrated how unevenly AI maturity is distributed across Australian organisations:
- IBM ANZ: Miki Luong, chief marketing and communications officer, said a three-year head start had reduced friction for the company. IBM reports $4.5 billion USD in operating cost savings from its AI transformation.
- SBS: Uma Oldham, director of marketing, said the publisher has a dedicated AI team, live use cases, and governance structures in place, but is hitting scaling limits due to data and technology integration constraints.
- Discovery Parks: CMO Lahnee White described building a proprietary AI platform, then abandoning it when staff started adopting external tools on their own. Her takeaway: “Our learning is probably never build yourself when you can buy a partner.”
The operator implication
The report also flagged AI slop content as the top concern among Australian CMOs, cited by 61% of respondents. Brand damage came in as a related risk at 32%.
For solo operators and small teams, the lesson is straightforward: match the model to the task. Using a frontier model for a task a smaller, cheaper model handles well is a budget leak that compounds as usage scales. Right-sizing your AI stack before the CFO asks you to is the smarter move.
I’m founder of BizStack at Cagri Sarigoz LLC and a passionate advocate for entrepreneurs.
With over 14 years in tech, marketing, and AI, including my role as Head of SEO at CitizenShipper and co-founder of TaleBot at Intale AI, I’m dedicated to sharing genuine, useful product insights and tips.
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