Does Robo-Advisory Still Hold Promise for Investors?

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By Joseph Moss, International Banker

Since the launch of the first robo-advisory firms, Betterment and Wealthfront, in 2008, hundreds of billions, if not trillions, of dollars have been committed to this low-cost, automated form of investing, one that gained enormous traction during the global fintech (financial technology) revolution of the ensuing years. As recent evidence from the industry has shown, however, generating sustained profitability has proven largely elusive for most robo-advisors within a deeply competitive market environment. Nonetheless, with the demand for affordable investment-management solutions expected to continue rising over the coming years, the outlook for the robo-advisory market remains distinctly upbeat.

Indeed, advancements in technologies that can be integrated into robo-advisors to bolster their performance continue unabated, and analysts expect automated investment management to remain an appealing model for investing and generating gains for the foreseeable future. Increasingly powerful big-data analytics capabilities, for instance, are enabling robo-advisors to not only analyse market movements more meaningfully but also strengthen their capacity for real-time analysis.

As is the case for the broader financial-services industry, virtual chatbots and natural language processing (NLP) applications are making customer service and customer interactions more intricate and intuitive. As such, investors can more easily engage with the robo-advisor while potentially managing their investments with more clarity and simplicity.

But it is the exciting innovations being uncovered on the artificial intelligence (AI) and machine learning (ML) fronts that are likely to most significantly drive the evolution of robo-advisory over the coming years. “Robo Advisors have the potential to provide better returns compared to active portfolio management as they are based on AI that runs a unique financial model,” explained More Wealth, a global robo-advisor powered by AI. “The AI prevents human errors and irrational financial decisions. It reviews large volumes of data and discover[s] specific trends and patterns that would not be apparent to humans.”

With AI-driven investment tools increasingly expected to assist investors in their allocation decisions, moreover, the opportunities for robo-advisory to integrate such tools to further enhance its performance become ever more likely. Having undergone monumental technological-stage developments in recent years, generative AI (GenAI) and large language models (LLMs) are allowing robo-advisors to deliver personalised products and services that are more in line with customers’ needs and preferences. Deloitte’s Center for Financial Services has predicted that GenAI-enabled applications will likely become the leaders in the “advice mind-space” for retail investors, growing from the current nascent stage to 78 percent usage in 2028 and perhaps even becoming the…