The Pro's and Con's of AI and Robo Wealth Management Solutions Discussed by Robert Cannon (2024)

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The new age of AI and Robo Management Solutions has dawned. In a post-pandemic world, predictions point towards more sophisticated applications of artificial intelligence (AI) across industries, which includes financial services, and a Robo advisor will benefit your systems tremendously by allocating funds to a professionally-designed portfolio. However, there are always two sides to a coin, which means that these software platforms also come with a few downsides, which will also be assessed in detail. Perhaps there is no better authority on this than Robert Cannon who has decades of experience in wealth management. When asked him about a detailed analysis of the pro’s and con’s and, the following transpired:

Artificial Intelligence (AI): The Pro’s and Con’s

Firstly, intelligence is linked to a system’s ability to generalize its knowledge and then apply it to unfamiliar scenarios in order to improvise and adapt to a new environment, and with the aggregate potential cost savings for the financial sector from AI applications, is estimated at $447 billion by 2023. From chatbot assistance to task automation and fraud detection, artificial intelligence, and machine learning (AI/ML) can vastly improve the customer experience by offering day-in-and-day-out access to their respective accounts and financial advice service, along with streamlining tedious processes. According to artificial intelligence statistics, 75% of business owners trust that AI will provide new job opportunities, and similarly, 40% of business frontrunners are confident that AI will improve productivity.

When it comes to the financial world, the role of FP&A professionals remains largely untouched since they are the “eyes and ears” of the enterprise and have a crucial role in the overall management process.

The Pro’s of Artificial Intelligence in Finance

With a wide range of benefits to offer, AI technologies can for instance help with efficiently handling large volumes of information. With this possibility, computers will take over the manual work of analyzing data and creating meaningful reports with the use of real-time dashboards. Considerably more efficient in budgeting and forecasting, these insights and metrics can help FP&A professionals and provide them with more time to build business relationships and to do advisory work as well.

Showing promising results for risk assessment through the use of advanced software across industries and finance, AI can be much more methodical and calculated than humans when it comes to fraud detection and prevention. On top of that, bias from the metrics can be eliminated by AI-based applications, and improve data quality with better graphics and informative charts which will lead to better decisions and boosted efficiency for FP&A teams.

The Con’s of Artificial Intelligence in Finance

Most organizations cannot afford premium AI applications at the moment, where the high-end technology is too expensive for the majority of fintech businesses, at least for the time being. Renowned experts have issued warnings that AI will make humans obsolete once computers develop their own intelligence. Yet, the situation out in the trenches shows that no matter how complex algorithms are, they cannot copy common sense and human intuition remains an elusive ingredient in many industries across the board.

A lack of regulatory scrutiny might also present a problem, since the fine-tuning of the legislation and improving infrastructure management is still in the pipeline with the hope to mitigate the risks of cybercrime. The misuse of data in the fintech business can often result in colossal losses, which is why it is vital with the rise of AI, to be accompanied by constant improvements in security procedures. It is believed that the black box of AI comes with ethical and economic risks, so FP&A teams need to be prepared to face various challenges and prevent malicious use of emerging applications and tools.

Robo Wealth Management Solutions in 2021

Opting for Robo Wealth Management Solutions entails using a robo wealth manager, also called a robo-advisor, which is an automated investment manager, that utilizes computer algorithms to allocate your funds to a professionally-designed portfolio. Relatively new to 2021, these investment platforms tend to charge a fraction of what a traditional, human investment advisor would, and you could get a higher-quality portfolio at the same time.

A typical robo-advisor will collect information from clients about their future goals and assess their financial situation through an online survey and then uses the data to offer advice and automatically invest client assets. Today, the majority of robo-advisors put to use passive indexing strategies that are optimized using some variant of modern portfolio theory (MPT), and some offer optimized portfolios for socially responsible investing (SRI), Hallal investing, or tactical strategies that mimic hedge funds.

The Pro’s of Robo Wealth Management Solutions

One of the highlighted benefits of robo-advisors, recently stated by a panel of economists, is that they are much more cost-effective than traditional advisors. Online platforms allow companies to eliminate human labor by offering the same service at a fraction of the cost. In comparison to the typical rate of 1% to 2% charged by a human financial planner, which could also potentially be more due to commission-based accounts, most robo wealth management solutions only charge an annual flat fee of 0.2% to 0.5% of a client’s total annual balance. Furthermore, the minimum assets required to register for an account are significantly less, whereas, in contrast, human advisors do not normally take on clients with less than $100,000 in investable assets, particularly those who are established in the field.

Con’s of Robo Wealth Management Solutions

Using a robo-advisor, on the other hand, will limit your options as an individual investor, since you cannot pick which mutual funds or EFTs you invest in, and you cannot purchase individual bonds or stocks in your account. Another downside of using a robo-advisor is that they are not financial planners which means they are merely a tool that can help you implement and manage your investment portfolio.

Final Thoughts

As we start to embrace the evolution of Artificial Intelligence (AI) and implement it as Robo Wealth Management Solutions, there are many reasons why FP&A teams should join the gold rush and try to harness the potential of emerging technologies. Similar technologies will continue to modify the world for the better in the upcoming years and AI-based applications will soon be essential for staying competitive in the ever-changing world of finance.

The Pro's and Con's of AI and Robo Wealth Management Solutions Discussed by Robert Cannon (1)About the contributors:

Robert Cannon is the CEO of Cannon Wealth Solutions. He was interviewed by Adriaan Brits on 19 February 2021 in his quest to compile a special report on wealth management in a post-pandemic world.

The Pro's and Con's of AI and Robo Wealth Management Solutions Discussed by Robert Cannon (2)

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The Pro's and Con's of AI and Robo Wealth Management Solutions Discussed by Robert Cannon (2024)

FAQs

What are the pros and cons of AI? ›

The advantages range from streamlining, saving time, eliminating biases, and automating repetitive tasks, just to name a few. The disadvantages are things like costly implementation, potential human job loss, and lack of emotion and creativity.

What are the advantages of AI based wealth management? ›

Advantages of Using AI in Wealth Management
  • Increase efficiency.
  • Streamline systems and implement automation.
  • Nurture relationships with existing clients.
  • Generate leads to connect with new clients.
  • Develop effective marketing strategies.
  • Quickly analyze data.
  • Remain compliant with regulatory guidelines.
Feb 28, 2024

What are 2 cons negatives to using a robo-advisor? ›

The generic cons of Robo Advisors are that they don't offer many options for investor flexibility. They tend to not follow traditional advisory services, since there is a lack of human interaction.

What are the positive and negative effects of AI? ›

Humans also need breaks and time offs to balance their work life and personal life. But AI can work endlessly without breaks. They think much faster than humans and perform multiple tasks at a time with accurate results. They can even handle tedious repetitive jobs easily with the help of AI algorithms.

How does generative AI affect wealth management? ›

Overall, AI, especially generative AI, holds the potential to revolutionize wealth management by driving cost savings, revenue growth, and improved client experiences.

What are the advantages and disadvantages of AI in business management? ›

Artificial intelligence in business helps to automate tasks, analyze vast amounts of data, generate valuable insights, and make more intelligent decisions. However, besides its numerous benefits, AI applications raise essential concerns in data privacy, ethics, dependence, and security.

Who benefits the most from AI? ›

The financial services industry, including banking and insurance, has become the frontrunner in A.I. adoption. The fervor for A.I. is further reflected in the growth of startups and projections that financial institutions will double their spending on A.I. by 2027.

Do millionaires use robo-advisors? ›

High-net-worth investors exited robo-advisor arrangements at the highest rates. Here's how the data broke down along asset levels: $50,000 or less: A drop from 23.6% to 20.6% in 2022, which translates to a decrease of 3 percentage points.

Should I trust a robo-advisor? ›

Robo-advisors, like human advisors, cannot guarantee profits or protect entirely against losses, especially during market downturns—even with well-diversified portfolios. Because most robo-advisors only take long positions, when those assets fall in value, so will the portfolio it has constructed.

Can you trust robo-advisors? ›

On the surface, robo-advising is just as safe as working with a human financial advisor. A robo-advisor's platform may include biases or errors that prevent it from achieving the best investment returns, but then again, humans are also subject to mistakes.

What did Elon Musk say about AI? ›

Reposting a clip from Joe Rogan's podcast with American computer scientist Ray Kurzweil on when AI will achieve human-level intelligence, Musk said on social media site X (formerly Twitter) that “AI will probably be smarter than any single human next year.”

What are 3 negative impacts of AI on society? ›

AI algorithms are programmed using vast amounts of data, which may contain inherent biases from historical human decisions. Consequently, AI systems can perpetuate gender, racial, or socioeconomic biases, leading to discriminatory outcomes in areas such as hiring, lending, and criminal justice.

What are the pros of AI? ›

AI helps in gathering reliable and valuable insights at a much faster pace. AI, along with important algorithms enables machines to bring consolidated data and predictions. AI systems are always available thus helping in faster decision making.

What are advantages of AI? ›

AI enables the execution of hitherto complex tasks without significant cost outlays. AI operates 24x7 without interruption or breaks and has no downtime. AI augments the capabilities of differently abled individuals. AI has mass market potential, it can be deployed across industries.

What are the pros and cons of AI in the classroom? ›

AI in Education: the Pros and Cons
  • Personalized Learning. AI can adapt to the learning style and pace of individual students. ...
  • Real-time Feedback. ...
  • Immersive Learning Experiences. ...
  • Data Privacy Concerns. ...
  • Dependence on Technology. ...
  • Lack of Human Touch. ...
  • The Future of AI in Education.
Feb 8, 2024

Is AI good or bad for society? ›

AI can help improve access to education, healthcare, and clean water, and can also aid in the fight against climate change, poverty, and hunger. However, it is crucial to ensure that AI is developed and used in an ethical and responsible manner, to avoid any unintended negative consequences.

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