The ACCC Just Made AI-Washing a $100 Million Problem
ACCC penalties doubled to $100M per breach. AI-washing is an explicit enforcement concern. Every 'AI-powered' claim on your website is now in scope.
The enforcement landscape shifted in March
On 28 March 2026, the Treasury Laws Amendment (Doubling Penalties for ACCC Enforcement) Act doubled the maximum corporate penalty under the Australian Consumer Law from $50 million to $100 million per contravention. For the most serious breaches, the penalty is the greater of $100 million, three times the benefit obtained, or 30 per cent of adjusted turnover. Individual penalties remain at $2.5 million per breach.
In February 2026, the ACCC published its own AI transparency statement and flagged AI-washing — misleading claims about AI capabilities — as an enforcement concern. The regulator's 2026–27 compliance and enforcement priorities, which took effect 1 July, specifically target manipulative conduct in digital markets: dark patterns, subscription traps, and misleading pricing. As ACCC Chair Gina Cass-Gottlieb put it: "Competition alone is not enough. Markets only deliver when people trust them."
Translation: if your website says "AI-powered" and the underlying technology is a rules-based spreadsheet macro, you now face the same penalty framework that produced a $125 million fine against Volkswagen and a $60 million fine against Google.
$100M
Maximum penalty per breach
Up from $50M — effective 28 March 2026
30%
Of adjusted turnover
Alternative penalty if greater
$2.5M
Individual liability
Directors and officers
What AI-washing actually looks like
AI-washing is not a fringe problem. A 2026 Carta survey of 500 Australian startup executives found that 80 per cent believe there is an AI bubble, yet feel pressure from investors or the market to integrate AI into their operations. More than 40 per cent said AI has already changed how they position their business when raising capital. The incentive to overstate is structural.
Common examples that Australian regulators are watching: advertising products as "AI-powered" when the underlying functionality is standard automation or rules-based workflows. Claiming full automation when the system actually relies on extensive human intervention — the Amazon "Just Walk Out" case, where 1,000-plus workers manually reviewed roughly 70 per cent of transactions, is the global reference point. Promoting tools as "agentic AI" to capitalise on recent hype when they are basic task-completion scripts. Making performance claims — "our AI reduces errors by 40 per cent" — without verified data to support them.
For an SME, this is not theoretical. If your proposal documents claim AI-driven scheduling, AI-powered quoting, or AI-enhanced compliance monitoring, the question is whether those claims describe what your systems actually do. The same legal standard that applies to a pharmaceutical company claiming clinical efficacy applies to a trades business claiming AI optimisation.
The Microsoft case proves intent
In October 2025, the ACCC commenced Federal Court proceedings against Microsoft for allegedly misleading 2.7 million Australian subscribers when it bundled Copilot into Microsoft 365 plans. The allegation: Microsoft told Personal and Family subscribers they must accept Copilot integration at a 29 to 45 per cent price increase, or cancel — without disclosing a third option, the Classic plans, which retained existing features at the original price.
The Classic plans were accessible only deep within the cancellation workflow. Microsoft has since apologised and offered refunds. But the case is proceeding — and under the new penalty regime, the maximum exposure is dramatically higher than when the conduct occurred.
This matters because it establishes that AI-related consumer deception is being actively litigated in Australia, not just discussed. Class action firms are probing Australian software companies to determine whether they have overstated their AI capabilities. If a regulator penalises a company for misleading AI claims, a risk exists that piggyback class actions follow.
The other side: what your vendors owe you
The same framework protects you as a buyer. If a software vendor tells you their product uses machine learning to optimise your scheduling and it turns out to be a series of if-then rules, that is potentially misleading conduct under the ACL. If a platform charges you a premium for "AI features" and those features are basic automation you could replicate in a spreadsheet, the representation is in scope.
We covered in a recent note how Microsoft and Google both bundled AI into standard subscriptions at 12 to 50 per cent price increases. The ACCC's case against Microsoft is not about the price increase itself — it is about the failure to disclose alternatives. For every vendor pitching you AI capabilities at a premium, the relevant question is now: what specifically does the AI do, how was the performance claim verified, and what is the non-AI alternative?
The Unfair Trading Practices Bill 2026, introduced to Parliament on 1 April, would further prohibit manipulative practices including subscription traps and dark patterns — with penalties of up to $50 million or 30 per cent of turnover. If passed, it is expected to commence 1 July 2027. The direction is unambiguous: consumer protection for digital services is tightening, not loosening.
Three things to do this month
First, audit every AI claim your business makes — website, proposals, pitch decks, social media. For each claim, ask: is this actually AI (a system that learns and adapts), or is it automation (a system that follows pre-programmed rules)? If you cannot clearly articulate the difference for a specific claim, rewrite it or remove it. The cost of overstating is now measured in hundreds of thousands at minimum.
Second, question your vendors. When a software provider tells you their product is AI-powered, ask three questions: what data does the model train on, what decisions does the AI make versus a human, and where can you see verified performance data? Vendors making legitimate AI claims will answer these without hesitation. Those who cannot are selling you a label, not a capability.
Third, document your methodology. If your business does use AI legitimately — and many trades and professional services firms now do, whether through platform features in Simpro, Xero, or Microsoft 365 — document what the AI does, what data it processes, and what performance improvements you have measured. This is not just legal protection. It is the basis for a credible competitive advantage that no competitor can undercut by simply adding "AI" to their website.
Key takeaways
Sources
▶Assumptions & methodology
- The $100 million maximum penalty is per contravention, not per case. Multiple breaches can result in cumulative penalties. The penalty is the greater of $100 million, three times the benefit obtained from the conduct, or 30 per cent of adjusted turnover during the breach period — whichever is highest. Source: Treasury Laws Amendment (Doubling Penalties for ACCC Enforcement) Act 2026, effective 28 March 2026.
- The Carta Australian Startup Outlook 2026 surveyed 500 senior decision-makers at Australian startups in partnership with Censuswide. The 80 per cent figure refers to respondents who feel pressure from investors or the market to integrate AI. The 40 per cent figure refers to respondents who said AI has changed how they position their business when raising capital.
- The ACCC v Microsoft case (commenced 27 October 2025) alleges misleading conduct from 31 October 2024 onward. The 2.7 million figure represents Australian Personal and Family subscribers who received communications about the Copilot integration. The case was filed before the penalty doubling took effect, but the ongoing nature of the alleged conduct means the new penalty regime may apply to more recent communications.
- The Amazon Just Walk Out example — where over 1,000 workers manually reviewed approximately 70 per cent of 2022 transactions — is cited as a global reference point for AI-washing. This is based on reporting by The Information in April 2024. Amazon has not confirmed the specific percentages but has since scaled back the technology in favour of smart shopping carts.
- The Unfair Trading Practices Bill 2026 was introduced to the House of Representatives on 1 April 2026. As of July 2026 it has not yet passed. The expected commencement date of 1 July 2027 is contingent on passage. Penalties under the Bill are separate from and additional to existing ACL penalties.
- Historical ACCC penalty examples — Volkswagen ($125M, 2019), Google ($60M, 2021), Telstra ($50M, 2021), Trivago ($40.7M, 2022) — were all imposed under the previous $50 million cap using the alternative turnover-based penalty calculation. The new $100 million cap raises the floor, not just the ceiling.
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Australia Ranks 2nd in AI Readiness. 44th in Putting It to Work.
Field Notes are general commentary on AI trends for Australian businesses. They don’t constitute professional advice. Talk to your accountant, lawyer, or IT adviser before acting on anything specific to your situation — or talk to us if you want help working out where AI fits.
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