Businesses should read this decision carefully, but with the right lens. It is not a final ruling that online platforms are liable for scam ads. It is a ruling that the ACCC has pleaded an arguable case that can proceed. That distinction matters.
Even so, the judgment is commercially important because it shows the kind of case a regulator may try to run in a digital advertising setting. The focus may be on systems and conduct, not just on the wording of a single ad. The ACCC’s pleaded theory, as described in the judgment, looks at the interaction between ad tools, targeting, algorithms, review processes, known scam patterns, and available safeguards.
If your business publishes ads, hosts third-party promotions, runs a marketplace, or manages campaigns for clients, this is a reminder to examine the machinery around your advertising operations. Ask how ads enter the system, what categories are treated as high risk, what warning signs trigger escalation, and what records exist when complaints are received. If the same scam pattern appears repeatedly and your controls do not change, that can become part of the factual picture in a later dispute.
The judgment is especially relevant where ads involve financial products, investment opportunities, crypto, endorsements, testimonials or public figures. The alleged scam in this case involved public figures being portrayed as endorsing a cryptocurrency trading product. Those are exactly the kinds of claims that can spread quickly and cause consumer harm at scale.
The accessorial liability discussion is also worth watching. The Court did not decide that the ACCC’s theory will succeed. But it was willing to let the theory be tested at trial, even though it was novel and involved attribution of knowledge through systems and records rather than through a specific employee’s direct knowledge of each ad. Businesses that rely heavily on automation should not assume that the absence of manual review automatically protects them.
For many businesses, the practical response is governance. Make sure your ad compliance settings match the way your business actually operates. A policy that assumes manual review may not help much if your real model is automated, fast-moving and high-volume. Controls need to be realistic, documented and capable of being updated when recurring risks appear.