The Regulatory Tightrope: How ASIC Is Shaping the Future of Digital Advice in Australia

The Law Does Not Sleep Because the Algorithm Does

Australia’s regulatory framework for digital advice rests on a foundational principle: automation does not confer exemption from the obligations that govern human advisers. Robo-advisers operate as providers of financial product advice under the Corporations Act 2001 and must hold an Australian Financial Services Licence (AFSL) or operate as an authorised representative of a licensee. The licensee bears full responsibility for all algorithm-generated advice, a principle that ASIC has consistently reinforced through its supervisory activities.

ASIC’s Regulatory Guide 255, Providing digital advice to retail clients, establishes the compliance architecture for robo-advisers. The guide emphasises that digital advice platforms must collect sufficient client information, ensure algorithms are regularly tested and updated, and avoid generic or misleading recommendations. For platforms operating under a limited AFSL or providing scaled advice, the scope of advice must be clearly understood and agreed with the client — a requirement that becomes particularly complex in digital journeys where the boundaries of personal advice may not be immediately apparent to users.

The Best Interest Duty in an Automated Context

One of the most significant legal challenges for robo-advisers is demonstrating compliance with the best interest duty. Under Australian law, financial advisers must act in the best interests of their clients and provide appropriate advice based on individual circumstances. For automated platforms, this translates into stringent requirements around data collection, algorithmic design, and ongoing monitoring.

The regulator has signalled that it will not accept a “set and forget” approach to compliance. ASIC’s FY2025–26 Corporate Plan outlined surveillance of AFS licensees recommending managed accounts to retail clients, examining compliance with general licensee obligations and advice conduct obligations. The message is unambiguous: digital advice providers must embed compliance into their technology stack, not treat it as an afterthought.

Emerging Frontiers: AI, Open Finance, and Governance

ASIC has positioned itself as a “backer, not blocker” of fintech innovation, but this stance comes with expectations around governance. The emergence of AI-driven advice tools — including large language models and adaptive algorithms — presents novel regulatory questions that Regulatory Guide 255, drafted in an earlier technological era, does not fully contemplate. Where algorithms “learn” from user behaviour, the line between general information and personal advice becomes increasingly blurred.

The Consumer Data Right and open banking frameworks are simultaneously expanding the data available to robo-advisers, enabling more personalised recommendations but also raising privacy and cybersecurity considerations under the Privacy Act 1988. Platforms that invest in robust data governance, transparent algorithmic decision-making, and proactive engagement with ASIC will be best positioned to navigate the regulatory landscape as it continues to evolve. The compliance burden is real, but so is the commercial opportunity for providers that treat regulation as a competitive moat rather than a cost centre.