AI is already widely embedded across financial services in algorithmic trading.

AI systems process market data in real time executing trades faster and with more accuracy than any human could.

In wealth management, robot advisors tailor portfolios to client preferences using predictive analytics.

Fraud detection systems use supervised machine learning to flag anomalies across millions of transactions.

In credit scoring Data like transaction patterns and mobile usage is fed into machine learning models, sometimes replacing traditional credit bureau inputs.

And on the client side, chatbots like JP Morgan's coin and Bank of America's Erica assist millions with routine questions and document processing.

AI is unlocking new efficiencies in underwriting and operational risk, while also enabling personalization at scale.

Importantly, these applications are not confined to big banks.

They extend across insurance, fintechs and asset managers fundamentally reshaping how financial products are designed and delivered.