AI in the Financial Industry: How Banks and Financial Companies Are Changing

Artificial intelligence is changing processes, advisory services, and business models across banks, insurers, and financial companies. At the same time, customer behavior is shifting. For companies, the key question is how to use AI effectively and which tasks still require human experience and responsibility.

AI in the financial industry is now part of day-to-day operations in many areas. Banks use artificial intelligence for risk analysis, fraud detection, customer service, and the evaluation of large data sets. In asset management, it supports market analysis and investment research. Generative AI summarizes documents, compares information, and gives employees faster access to internal knowledge.

AI agents are taking this development further. These systems can handle tasks across several steps, combine information from different sources, and trigger actions within predefined rules.

This raises new questions for banks and financial services companies. Which processes can be automated? Where does AI create economic value? And which decisions should remain in human hands?

How AI Is Changing Processes and Business Models in Banking

Artificial intelligence in financial services affects many areas of a company. AI can analyze large volumes of customer and market data, take over routine tasks, and support employees in complex evaluations. Compliance, risk management, and fraud prevention are also key areas of application.

Customer expectations are changing at the same time. People who use AI systems in their private lives increasingly expect fast answers, simple processes, and more personalized offers from financial services providers.

Competition is growing as a result. Traditional financial institutions are facing FinTechs, digital platforms, and AI-based financial services with new products and service models.

The question is no longer simply where AI can be used. Companies need to decide how technology, business models, and customer relationships should work together.

How AI Is Changing Financial Advice

The shift is particularly visible in advisory services.

Many customers can now ask an AI directly:

“What risks are in my portfolio?”

“How do interest rates or inflation affect my investments?”

“How do these ETFs differ in terms of fees, regions, and sectors?”

Information that once required several different sources can now be compiled and explained within a short period of time.

This changes the role of financial advisors. Expertise remains important, but interpretation, experience, and trust are gaining more weight. Customers need advisors who can assess results, explain risks, and judge whether a mathematically plausible solution actually fits their personal situation.

A different advisory model is beginning to emerge for banks: AI handles analysis and information processing, while humans remain responsible for interpretation and accountability.

How AI Influences Investor Behavior

Financial companies also need to pay close attention to investor behavior.

AI makes financial knowledge easier to access and can help people compare risks and scenarios more quickly. At the same time, AI systems increasingly influence which information investors see and how they prepare decisions.

This raises an interesting question: Do investors make better decisions with AI, or are they simply following a different set of recommendations?

Behavioral finance is gaining a new dimension as well. Fear, euphoria, FOMO, and herd behavior do not disappear because of artificial intelligence. AI can make these patterns more visible, but in some cases it may also reinforce them.

If many investors use similar systems, similar data and assessments may lead to similar decisions. Banks, asset managers, and other market participants therefore need to understand how AI is changing customer risk behavior.

The Financial Industry in 2035: From Chatbot to Personal AI Financial Assistant

What could financial advice look like in 2035?

With the customer’s consent, a personal AI financial assistant could assess income, investments, loans, insurance, and financial goals together. At the same time, it could analyze interest rates, inflation, capital markets, and economic developments.

The question may no longer be:

“Which stock is right for me?”

Instead, it could be:

“How would my financial situation change if I bought a property in five years and reduced my working hours later on?”

The AI could calculate different scenarios and update them whenever market conditions or personal circumstances change.

For banks, this would also change the customer relationship. Individual advisory meetings could develop into continuous digital support.

AI Agents in Banking: How Much Should AI Be Allowed to Decide?

Today, AI mainly supports research, analysis, and communication. In the future, AI agents could monitor portfolios, identify risks, and take action within agreed limits.

This puts new questions on the agenda for boards and senior management:

• How much decision-making authority should an AI system receive?
• Who controls the results?
• How can decisions remain transparent?
• Who takes responsibility when mistakes happen?

And which processes should financial companies deliberately keep under human control?

AI agents in banking connect technological capabilities directly with governance, regulation, and leadership. This is why the topic is likely to play a growing role in strategic decisions over the coming years.

Cybersecurity and AI in the Financial Sector

As financial processes become more automated, security requirements are increasing as well.

AI can help banks detect suspicious activity and unusual patterns more quickly. At the same time, attackers are using artificial intelligence for phishing, social engineering, and manipulated content.

For financial companies, cybersecurity is therefore no longer just an IT issue. Customers need to trust that identities, information, and transactions are protected.

For AI-based financial services in particular, security and trust are becoming part of the customer relationship.

Which Speakers Cover AI in the Financial Industry?

At Premium Speakers, companies can find speakers who address AI, banking, financial markets, investor behavior, and cybersecurity from different perspectives.

Lars Hamberg: AI, Banking, and Wealth Management

Lars Hamberg combines many years of experience at UBS and ABN AMRO with expertise in artificial intelligence, FinTech, and asset management. His talks address how AI and advanced analytics are changing wealth management, product development, and distribution.

Katrin J. Yuan: AI in Finance and WealthTech

Katrin J. Yuan, CEO of the Swiss Future Institute, speaks about artificial intelligence, leadership, and the future of financial services. One of her key topics is AI in finance and WealthTech.

Prof. Dr. Andreas Hackethal: Investor Behavior and Financial Advice

Prof. Dr. Andreas Hackethal focuses on investing, behavioral finance, and the way people make financial decisions. His perspective is particularly relevant to the influence of AI on investor behavior, trust, and the future of financial advice.

Arturo Bris: Finance, Economics, and Agentic AI

Arturo Bris is Professor of Finance at IMD Lausanne and Director of the World Competitiveness Center. He connects corporate finance, regulation, and competitiveness with the economic effects of AI and agentic AI.

Brett King: Banking in the 2030s

FinTech expert Brett King has been analyzing the future of banking for many years. His talks cover AI-based banking, new customer experiences, and the role of algorithmic systems in the financial world of the 2030s.

Jens Korte and Sandra Navidi: Financial Markets and Wall Street

Jens Korte provides context on developments in international financial markets and speaks about the digital shift in the financial industry.

Sandra Navidi connects financial markets, economics, and technology, bringing her long-standing Wall Street experience to topics around capital markets and artificial intelligence.

Peter Hacker: AI and Cyber Risk

Peter Hacker connects cybersecurity, artificial intelligence, and risk management. His focus includes digital risk, regulation, and the secure use of AI in banks and insurance companies.

Jade Cano: Moderation for Finance and AI Topics

Jade Cano moderates topics around FinTech, capital markets, private wealth, banking regulation, and artificial intelligence in the financial sector. She is a strong fit for panels and discussion formats that bring together several expert perspectives.

Book Speakers on AI in the Financial Industry

AI in the financial industry is changing processes, business models, advisory services, and customer behavior. Banks, insurers, and financial services companies therefore need to keep technological developments in view alongside economic, regulatory, and social changes.

A keynote can focus on AI agents in banking, the future of financial advice, investor behavior, financial markets, or cyber risk. Panels with different expert perspectives also work well for conferences, customer events, and executive meetings.

Are you looking for a speaker on AI in the financial industry? Premium Speakers supports you in selecting the right experts for artificial intelligence, banking, financial markets, and cybersecurity. Contact us: +1 (704) 804 1054 or welcome@premium-speakers.com

Frequently Asked Questions About AI in the Financial Industry