KBW Chief Executive Tom Michaud raised fresh concerns about artificial intelligence and its impact on banks during a television appearance on Mornings with Maria. He discussed how AI could fuel new forms of fraud, strain risk controls, and reshape jobs across finance. The conversation, set against rising AI adoption in trading, compliance, and customer service, placed urgency on the need for better defenses and clearer rules.
Michaud’s comments arrive as banks test AI for underwriting, client outreach, and operations. The promise is faster service and lower costs. The risk is bigger attack surfaces, model errors, and the spread of convincing deepfakes. Financial firms now face pressure to modernize while staying safe for customers and markets.
Why AI Worries Banks
Financial institutions depend on trust, data quality, and sound models. AI introduces new ways to make decisions and new risks to control. Generative systems can produce text, images, and voice that look real. That can trick call centers, fool identity checks, or slip past old controls.
Banks also manage model risk. If AI tools are trained on biased or incomplete data, loan decisions can be wrong. If systems are too complex, managers may not know why the model picked a result. That complicates audits and regulatory reviews.
Fraud and Cyber Threats Are Rising
Fraud schemes now use AI to mimic customers and executives. Voice cloning and deepfake video make scams harder to spot. Social engineering can be personalized at scale. Attackers can also generate malware and phishing campaigns more quickly.
Payments are a high-risk area. Real-time systems settle fast, leaving little time to flag scams. Banks report a rise in account takeovers and synthetic identities. Industry groups have urged stronger authentication and anomaly detection to catch unusual behavior before money moves.
- Voice and video deepfakes target customer support and approvals.
- Phishing emails and messages are more tailored and convincing.
- Real-time payments reduce windows to stop fraudulent transfers.
Jobs, Productivity, and the Human Factor
Michaud addressed how AI could change work across the sector. Routine tasks in operations and research may be automated. That can speed up processing and cut costs. But oversight grows more important as humans supervise machines.
Traders, bankers, and analysts are testing tools that draft emails, summarize filings, or flag risks. This can free up time for client work. Still, leadership must decide which tasks need human judgment. Training and reskilling will be a steady need, and staff must learn how to challenge AI recommendations.
Regulation and Model Governance
Banks already face rules for model validation and consumer protection. AI raises the bar on testing, documentation, and explainability. Firms need clear lines of responsibility and audit trails for key decisions.
Supervisors are signaling more scrutiny of data sources, fairness, and resilience. Cross-border firms must manage different standards in the United States, Europe, and Asia. Many are setting up model risk committees, tightening vendor reviews, and creating playbooks for AI incidents.
What Banks Are Doing Now
Lenders are building layered defenses. They are using biometrics, device signals, and behavioral analytics to confirm identities. They are adding real-time controls for payments and more checks for new accounts. Many are training staff to spot deepfakes and social engineering.
On the AI side, firms are moving sensitive workloads to secured environments and limiting access to training data. They are stress-testing models with adversarial inputs and monitoring outputs for drift. Pilot programs are common, with phased rollouts tied to risk reviews.
Market Impact and What to Watch
Investors want efficiency gains without higher loss rates. If AI reduces expense ratios while fraud stays contained, margins can improve. If losses rise, credit costs and compliance spending will eat the savings.
Key signals to track include fraud claims, payment reversal rates, and model validation findings in bank reports. Hiring trends in cybersecurity and data science will show where firms place their bets. New rules from bank regulators and securities agencies could set clearer standards on testing and disclosure.
Michaud’s warning reflects a wider shift in boardrooms. AI is now a core strategy topic, not a side project. The next year will test whether banks can use these tools safely while protecting customers. Expect tighter controls, more training, and closer supervision. The firms that strike the right balance between speed and safety are likely to set the pace for the sector.
Deanna Ritchie is a managing editor at DevX. She has a degree in English Literature. She has written 2000+ articles on getting out of debt and mastering your finances. She has edited over 60,000 articles in her life. She has a passion for helping writers inspire others through their words. Deanna has also been an editor at Entrepreneur Magazine and ReadWrite.
