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Visualizing the Rise of Investment Tech

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The Rise of Investing Apps

Visualizing the Rise of Investment Tech

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Investors and wealth managers are always looking to capitalize on their investments—and the latest innovations are arming them with more efficient tools to get there.

Fintech solutions are increasingly being adopted among the digitally active population, as 64% of surveyed wealth managers consider digitization essential in 2019.

Today’s graphic from Raconteur highlights the benefits of investment technology, and touches on shifting sentiments in human vs. digital interactions. Where do investors and wealth managers see the next epoch of investment fintech heading?

Fantastic Features: Top Benefits

According to a TD Ameritrade survey of 1,000 investors, a whopping 90% consider getting tailored investing advice to be the most important feature of any tech tool. In second place, 52% place value in easy access to their data.

Here are the other benefits at top of mind for investors when it comes to investment tech:

  • 45% seek the best possible returns
  • 44% look for customized, quick, and simple analysis
  • 39% are interested in customized portfolios
  • 39% want the benefit of personalized budgets
  • 38% desire regular suggestions for optimizing financial health

But how well are these applications being adopted in everyday investment scenarios?

The Fintech Boom by the Numbers

Investment apps such as RobinHood have drastically risen in popularity, but still lag behind more mainstream segments in the fintech space:

Fintech Categories Ranked by Adoption Rate, 2015 to 2019

Category2015 Adoption Rate2017 Adoption Rate2019 Adoption Rate
Money transfer and payments18%50%75%
Insurance8%24%48%
Savings and investments17%20%34%
Budgeting and financial planning8%10%29%
Borrowing6%10%27%

Source: EY

Borrowing apps have the lowest global usage rates—only 27% of the digitally active global population—whereas nearly 75% have adopted money transfer and payment apps.

Human vs Machine: The Customer Experience

Do humans or machines have the edge in managing your investments?

The aforementioned survey by TD Ameritrade also asked investors which of the following are performed better by each group, with mixed results:

👨 Humans perceived as better 🤖 Robots perceived as better
• Ability to chat about questions or investment concerns• Info in one place that can be accessed at any time to inform best solutions
• Investment experience
• Best returns
• Affordable investment solutions or advice
• Ability to optimize returns and minimize taxes
• Regular suggestions on how to optimize financial life• Quick, simple analysis tailored to unique financial situation
• Personalized budget development• Custom portfolio with regular updates

When it comes to managing tasks such as calculations, updates, and portfolio optimization, the majority of investors consider a computer to be better suited to the tasks at hand. However, when they are discussing investment concerns, personalization, or financial advice, the majority of customers prefer a human opinion.

Interestingly, 81% of U.S. investors believe that investment technology could never replace the “human touch”, compared to 70% of European investors or 64% in Asia.

Wealth Managers are Going Digital

Over time, wealth managers have grown to embrace the digitization of their industry.

The proportion of surveyed high-level executives who see digitization as essential to the industry jumped from just 25% in 2016 to 64% in 2019.

In another recent survey about views on most impactful types of fintech apps, more than 68% of wealth managers agreed that robo-advisors are among the most important developments, with AI-based investing apps following closely behind at 45%.

Towards a More Personalized Future

At the end of the day, investors want better, more personalized advice at their disposal—and for that advice to generate more profitable returns. Along with their wealth managers, investors are increasingly interested in solutions that can simplify portfolio management.

Digitization and automation of manual processes have been a welcome change for many industry professionals. While investment technology is still in early stages, wealth managers can personalize investor experiences through the adoption of tech─and increase their chances of future success by maintaining a seamless customer experience.

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Charted: The Jobs Most Impacted by AI

We visualized the results of an analysis by the World Economic Forum, which uncovered the jobs most impacted by AI.

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Charted: The Jobs Most Impacted by AI

This was originally posted on our Voronoi app. Download the app for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.

Large language models (LLMs) and other generative AI tools haven’t been around for very long, but they’re expected to have far-reaching impacts on the way people do their jobs. With this in mind, researchers have already begun studying the potential impacts of this transformative technology.

In this graphic, we’ve visualized the results of a World Economic Forum report, which estimated how different job departments will be exposed to AI disruption.

Data and Methodology

To identify the job departments most impacted by AI, researchers assessed over 19,000 occupational tasks (e.g. reading documents) to determine if they relied on language. If a task was deemed language-based, it was then determined how much human involvement was needed to complete that task.

With this analysis, researchers were then able to estimate how AI would impact different occupational groups.

DepartmentLarge impact (%)Small impact (%)No impact (%)
IT73261
Finance70219
Customer Sales671617
Operations651817
HR57412
Marketing56413
Legal46504
Supply Chain431839

In our graphic, large impact refers to tasks that will be fully automated or significantly altered by AI technologies. Small impact refers to tasks that have a lesser potential for disruption.

Where AI will make the biggest impact

Jobs in information technology (IT) and finance have the highest share of tasks expected to be largely impacted by AI.

Within IT, tasks that are expected to be automated include software quality assurance and customer support. On the finance side, researchers believe that AI could be significantly useful for bookkeeping, accounting, and auditing.

Still interested in AI? Check out this graphic which ranked the most commonly used AI tools in 2023.

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