Advances in areas of Artifical Intelligence (AI), Machine Learning (ML) and Neural Research are starting to disrupt business models in various industries – by helping automate complex activities that were previously thought to be the sole prerogative of humans. Within financial services, some innovative fintechs have focused on offering solutions for managing wealth digitally, which potentially disrupts the traditional human-advisor based wealth management approach. This has led to emergence of automated digital financial advisers, also known as Robo-advisors.
Robo-advisors employ algorithms to sift customers based on their risk appetite by screening responses from a behavioural questionnaire. For diversification, Robo-advisors typically recommend a portfolio of low-cost ETFs, which helps in keeping costs low. Robo-adviser fee typically ranges from 0.15% to 0.50% of assets, compared to the range of 1.0% to 2.0% of assets charged by traditional wealth advisors. Besides, robo advisors provide highly cost-effective services with features such as portfolio construction, automated rebalancing and tax-loss harvesting. The basic premise of robo-advice is that technology (algorithm) is transparent, and can provide sound and unbiased financial advice at a fraction of a cost of what human advisors charge.
The new generation is quite tech savvy and prefers to transact using digital tools. Various studies suggest that consumers across all asset classes are interested in using robo-advisory services, including the wealthy (HNWIs) investors. The success of robos to date indicates that clients want digital tools served with their financial services. The advent of robo-advisers has taught the traditional financial advice industry that they need to embrace new technologies that people are exposed to in other areas of their life. The traditional wealth managers need to integrate robo-advisory services into their offerings, otherwise they stand the risk of losing substantial assets to competition (to both - the standalone fintech firms offering robo-advisory services and the traditional wealth managers combining robo-advisory services in their offerings).
A recent survey by Investment Trends found that robos adoption in the U.S. far exceeds than that of the European countries like U.K. and Germany. The finding also corroborates a 2016 Money Observer research, which observed robos managed just US$174 million in the U.K. assets compared with US$75 billion managed by U.S. robo-advisors. A separate study from China Merchants Securities found that robo-advisory growth in Asia is roughly half of that of the U.S. and will remain so through 2020. Country-specific investment cultures could be the reason behind vast differences in robos adoption across geographies. Asian investors, for example, generally prefer having a private banker or a hands-on approach.
The top robo-advisors by assets under management are US-based, with Vanguard leading the pack with an estimated $47 billion in robo assets. Charles Schwab’s Intelligent Portfolios and Betterment rank second and third with assets of $10.2 billion and $7.4 billion, respectively.
Source: Statista, CNBC, Business Insider
According to market research firm, Market Strategies International, affluent investors between the ages of 35 and 51 represented about 40% of users on digital wealth manager platforms in 2016, up from 31% in 2015. Given the continuing proliferation of digital tools in all walks of life, we see huge growth potential for robo-advisors. This is also reflected in the growth projections of several industry analysts. A KPMG study in early 2016 expected assets under US-based robo advisors to reach $2.2 trillion by 2020, while another forecast from McKinsey & Co. projects that robos have potential to amass $13.5 trillion worth of assets in future. BI Intelligence forecasts robo-advisors will manage around 10% of total global assets under management (AUM) by 2020, which equates to roughly $8 trillion.
The robo-advisor technology in its current form has some key limitations. To begin with, it is suitable for only those investors which require very basic financial planning or have smaller investment portfolio. Moreover, it doesn’t presents a holistic financial plan that incorporates various variables and complexity involved in making financial decisions. It usually recommends low-cost passive portfolio. Besides, making decisions about money involves emotions and other intangible aspects. The more complex one’s needs get the more the need for human interaction.
In our opinion, adopting hybrid-model that combines the substantial algorithm component with human interaction in the advisory process, is the best strategy that traditional industry can employ to remain competitive. To protect their market share, wealth managers should strongly target ‘digitizing’ their businesses. The unique advantage of adopting hybrid model is that it enables banks to tap into huge volumes of additional personal data. It is extent to which the traditional model leverages this additional data that would give them an edge over standalone firms (offering robo-advisory services only) in the market. Moreover, implementing hybrid model can help in keeping the overall cost of managing assets low.
Digital advisers are hiring human advisors and traditional financial advice firms are deploying automation (case in point of robo-advisor firm Betterment, which added human advice with its digital advice offering). As Vanessa Oligino, Director of business performance solutions at TD Ameritrade Institutional has remarked, "Human plus digital is really the way things are going for the future".
Regarding the argument whether robo-advisors would increasingly replace human-advisors in the future would depend on few critical questions: Can Robos outperform actively manged funds? Will the development in AI and Neural Research empower Robos to provide entire financial advice services? Are people inclined to entrust wealth management entirely to technology without presence of human element? The level of technological advancement in AI would be a key factor shaping the future of wealth management industry.
Decimal Point Analytics (DPA) can assist you in determining and implementing the right robo-advisory tools for you, based on your specific requirements. We can cover all phases in implementing the robo-advisory platform, which includes planning, designing, building, deploying and on-going monitoring.