The Algorithm Learns
The first generation of Australian robo-advisors operated on rule-based algorithms: collect risk profile data, map to a model portfolio, execute and rebalance. Effective, but static. The next generation — already emerging in 2026 — is adaptive, using machine learning to refine recommendations based on behavioural data, market conditions, and individual outcomes.
The Australian robo-advisory market is projected to manage over AUD 35 billion in assets, with an average annual growth rate of 27 per cent, according to industry analysis. This growth is being fuelled not merely by cost advantages but by the promise of superior personalisation. Platforms that can demonstrate improved after-tax outcomes, better risk-adjusted returns, and more engaging user experiences will capture disproportionate share.
The Otivo Model and Personalised Digital Advice
Among the most notable developments in 2026 is the launch of Otivo’s AI-powered mobile app, which leverages its existing AFSL and digital advice capabilities to deliver personalised advice at scale. The platform cites ASIC Moneysmart research from March 2026 finding that 64 per cent of Gen Z Australians trust financial information on AI platforms — a statistic that underscores both the opportunity and the responsibility facing digital advice providers.
Otivo’s approach illustrates a broader trend: the convergence of AI capabilities with licensed advisory frameworks. Digital advice is not escaping regulation; it is operating within it, using technology to reduce the marginal cost of personalised guidance while maintaining the governance standards that ASIC requires. As one industry observer noted, the focus is on “using the latest technology, including AI, within a licensed framework to make advice more accessible and affordable for more Australians”.
What Comes Next
The next frontier lies in three areas. First, open finance will enable robo-advisors to access a fuller picture of a client’s financial life — not just investment accounts but cash flow, liabilities, and insurance — enabling genuinely holistic advice. Second, behavioural AI will help platforms understand not just what clients say they want but what they actually do, addressing the intention-action gap that has historically undermined financial outcomes. Third, natural language interfaces will transform the advice experience from form-filling to conversation, making digital advice accessible to Australians who have historically been excluded from traditional advisory channels.
The robo-advisor of 2026 is no longer merely a cheaper portfolio manager. It is becoming an intelligent financial companion — one that learns, adapts, and guides. The platforms that embrace this evolution, while maintaining the trust and compliance foundations that Australian regulation rightly demands, will define what comes next.