By FINTECH Books Contributor, Michal Rozanski Follow: @MichalRoza  Most financial advisors are in a state of denial about robo-advice. They say clients value the human touch or need real people to understand the nuances of their financial lives. They’re wrong. Soon robo-advice will be much more efficient than human advice ever was. The next step in wealth management is to get rid of its weakest and costliest part – the human advisor. In this article we would share the results of our analysis on most important areas where appliances of Machine Learning (or marketing term – Artificial Intelligence) will take wealth management to the next level. Those areas include: Machine learning in behavioural analysis that tracks typical investors mistakes and  reacts on nervousness, not thought-through decisions, spontaneous  reactions to market downturns etc. Contact the investors when they really need explanation and support. Sophisticated portfolio allocation and rebalancing backed by algorithmic trading  and execution algorithms. Real time adjustments in investment strategy (change in goals, life situation, job, location, marital status, remuneration) on finest  level, that human advisors can not deliver. Combination of long term advice with Machine learning analysis of current budget status (with integration all bank accounts) and spending and saving practices. The result would be high level plans combined with help in everyday execution. Chatbot and voice technology – explaining the investment strategy and current market situation in most natural manner. Machine learning in analysis and navigation of tax nuances. Implementing those AI functionalities in robo-advice systems will be important step on the way to delivering more financial freedom. Professional advice, available to anybody, especially to those who can’t afford it now, but who need it most. At a fraction of the current costs.