Generative AI, aside from maybe rising from the keyboard and eliminating all humans, has the potential to revolutionise the way superannuation funds and wealth managers operate. However, like any emerging technology, there are risks and benefits associated with its use.

In this blog post, we will explore the potential benefits and risks of generative AI for superannuation funds, and what this means for Fintech’s with solutions in this space.

The appeal of generative AI for superannuation funds

Super funds are beginning to see the potential benefits of this emerging tech, primarily in the following areas;

  1. Improved compliance: Generative AI can help superannuation funds better monitor and meet their regulatory requirements by ensuring they are compliant with all relevant laws and regulations.
  2. Cost savings: automate many of the manual processes involved in managing superannuation funds, leading to significant cost savings.
  3. Improved decision-making: By analysing vast amounts of data, generative AI can identify patterns and make predictions that humans might miss. This can help superannuation funds make better decisions about how to best serve their members and where to most effectively allocate budget.
  4. Personalized customer experiences: Generative AI can help superannuation funds provide personalised service and recommendations to their customers, based on their individual needs and preferences.
  5. Fraud detection: By analysing transactions and customer behaviour, generative AI can help identify fraudulent activity and prevent financial losses for the fund and its customers.

It’s not all roses and sunshine

Of course, AI is not a panacea, so there are material risks to be aware of.  Let’s take a look…..

  1. Bias: Generative AI can perpetuate and even amplify biases that exist in the data it is trained on. This can lead to unfair or discriminatory outcomes, particularly in areas such as investment decisions.
  2. Lack of transparency: The complex algorithms used in generative AI can make it difficult to understand how decisions are being made. This lack of transparency can make it challenging for superannuation funds to explain their decisions to customers or regulators.
  3. Cybersecurity: As with any technology that relies on vast amounts of data, generative AI is vulnerable to cyber attacks. Superannuation funds must ensure that they have robust cybersecurity measures in place to protect customer data.
  4. Ethical considerations: Generative AI raises a range of ethical considerations, including privacy, data ownership, and accountability. Superannuation funds must ensure that they are using the technology in an ethical and responsible way.
  5. Customer frustration: Poorly implemented and tested solutions can irritate customers and drive them away.  Careful testing and application of Generative AI solutions that are exposed to customers is essential to achieving many of the touted benefits of the technology.

Empathy is key

Fintech’s bringing Generative AI solutions to the market need to look beyond the benefits and the sales pitch. It is critical to deeply understand the complex environment that wealth managers and super funds operate in. It is also super-important to be able to clearly communicate this understanding in your pitches.

Generative AI has the potential to bring significant benefits to superannuation funds. However, the risks associated with the technology cannot be ignored or trivialised.  Building a solid understanding of the benefits and the risks will help Fintech’s be better prepared to build momentum and grow in this market.

If you’d like to dig deeper on this topic, reach out and say Hi.  We’d love to learn more about your brilliance, and help you land and expand, without falling and failing.