Events & Resources

Learning Center
Read through guides, explore resource hubs, and sample our coverage.
Learn More
Events
Register for an upcoming webinar and track which industry events our analysts attend.
Learn More
Podcasts
Listen to our podcast, Behind the Numbers for the latest news and insights.
Learn More

About

Our Story
Learn more about our mission and how EMARKETER came to be.
Learn More
Our Clients
Key decision-makers share why they find EMARKETER so critical.
Learn More
Our People
Take a look into our corporate culture and view our open roles.
Join the Team
Our Methodology
Rigorous proprietary data vetting strips biases and produces superior insights.
Learn More
Newsroom
See our latest press releases, news articles or download our press kit.
Learn More
Contact Us
Speak to a member of our team to learn more about EMARKETER.
Contact Us

AI-powered tools can reshape banking but lenders need to be aware of the risks

The news: US banks have “some work to do” before they can embrace AI-powered tools like ChatGPT, according to Bank of America CEO Brian Moynihan.

  • Speaking virtually at Sydney's AFR Business Summit, Moynihan acknowledged the technology’s usefulness but cautioned banks that external generative AI tech must be “applied correctly,” per Bloomberg.
  • The CEO added that inaccuracy, a dearth of data-based responses, and the risk of cyber attacks presented challenges for ChatGPT’s use in banking.

Banks approach AI apps with caution: Bank of America has already banned staff from business use of ChatGPT. Other banks have done the same, including:

  • JPMorgan
  • Citi
  • Goldman Sachs
  • Wells Fargo
  • Deutsche Bank

How can banks prepare for AI’s rise? Despite wariness around using third-party AI technologies, banks are investing heavily in the space. Retail banks are forecast to spend $4.9 billion on AI platforms by 2024, growing 21.8% compounded annually from 2019, per GlobalData research.

However, it will take time for banks to fully benefit from the tech’s disruptive impact. Here’s how lenders can embrace generative AI:

  1. Educate employees. Banks should familiarize stakeholders with generative AI and its impact on banking. The tech has the revolutionary potential to create data for a variety of sophisticated applications.
  2. Keep tech up to date. Whether they’re building tech in-house or outsourcing from third parties, banks need to invest in and budget for generative AI.
  3. Work out its uses. Lenders should test and evaluate different use cases for generative AI, such as fraud detection, virtual assistants, personalized offers, and wealth planning.
  4. Develop a strategy. Banks need to be forward-thinking, building clear plans for integrating generative AI into their operations, including implementation, governance, and risk management planning.
  5. Brace for regulation. AI is a relatively new technology and it comes with risks that regulators are still identifying as they determine how to oversee the space. Financial institutions interested in AI-powered tools must prepare for regulations that will likely evolve as AI becomes more commonplace.

Keep reading: To find out how banks can prepare for the rise of generative AI, check out our ChatGPT and Generative AI in Banking report.

This article originally appeared in Insider Intelligence’s Banking Innovation Briefing—a daily recap of top stories reshaping the banking industry. Subscribe to have more hard-hitting takeaways delivered to your inbox daily.

You've read 0 of 2 free articles this month.

Create an account for uninterrupted access to select articles.
Create a Free Account