Summary
In 2023, generative AI tools such as ChatGPT, DALLE-2, and CodeStarter have gained significant popularity and are expected to have a lasting impact. OpenAI's ChatGPT, for instance, has become the fastest-growing consumer application in history, surpassing even TikTok and Instagram in adoption speed.
Generative AI offers several benefits for businesses, including the ability to learn from vast amounts of data, interact with users in natural language, and generate various outputs like text, pictures, code, and data streams. McKinsey predicts that generative AI could add trillions of dollars annually to the global economy, with the banking industry being one of the sectors that could see the most significant impact. While the deployment of generative AI in the financial services industry is still in its early stages, companies have started using these tools to automate repetitive tasks and cut costs. Areas of deployment include customer service, fraud prevention, coding, and information analysis. However, there are still practical and regulatory challenges that hinder the widespread commercial use of generative AI in the industry. Legacy technology and talent shortages may temporarily slow down the adoption of generative AI tools, especially for large banks and insurers with outdated IT systems. However, with the increasing digitalization and the emergence of newer companies like fintechs, the burden of legacy technology is expected to diminish, potentially accelerating the adoption of generative AI tools.
Region:
Global
Published:
November 2023
Author(s):
MIT & UBS
Language:
English