Artificial intelligence is reshaping the financial sector faster than most institutions anticipated. Generali, Italy's largest insurance group, has committed 325 million euros to AI, data, and automation as part of its financial plan through 2027, according to the company's official disclosure. Banks are following the same path, with executives across Europe signaling that AI integration is no longer optional.
Generali's 325 Million Euro AI Commitment
Gianluca Perin, country general manager of Generali Italia, spoke plainly in an interview with La Repubblica:
“Our clients have, and will continue to have, the best possible experience. Including through the technological innovation we develop every day.”
Perin's position reflects a broader strategic reality. For a company of Generali's scale, tying capital to an exponentially growing sector is not a speculative bet but a defensive necessity. The group manages assets across 50 countries, and AI-driven personalization of insurance products is seen internally as the primary lever for maintaining competitive margins through 2027.
The European dimension of this story matters too. European Commission President Ursula von der Leyen, in her State of the Union address to EU institutions after the summer recess, called for coordinated AI investment across member states as a mechanism to rebuild European cohesion. Von der Leyen framed the issue directly: rising nationalism is fragmenting the EU from within, and a joint AI investment drive could restore the collective momentum the European project has been losing.
The US and China have spent years ahead of Europe on AI infrastructure. Von der Leyen's call was not ceremonial. It was a recognition that the gap is measurable and the window to close it is narrowing.
What AI Means for Banks and Credit Institutions
Perin's analysis extends beyond insurance into the structural gap in financial protection that has historically characterized markets like Italy. His argument is that AI allows insurers to personalize their offer in ways previously impossible at scale, matching product to need rather than forcing clients through standardized packages. He describes a near-term future where “physical AI” will enable genuinely new services, not just faster delivery of existing ones.
“We are convinced that, to face challenges like demographic and climate change, the public system must ally with an advanced private counterpart. As the country's leading insurer, we want to identify the needs of families and businesses. AI helps us personalize our offer and respond to client needs. They are asking for faster, digital, and personalized processes. Tomorrow, physical AI will allow us to provide entirely new services. This applies to businesses too. With technology we can do a great deal to guarantee operational continuity, even in the face of a catastrophic event.”
The banking sector shares these structural pressures. Maurice Lisi, head of digital business, marketing and payments at Banca Popolare dell'Emilia Romagna, put it this way:
“In the banks of tomorrow, digital will orchestrate the relationship. People will continue to bring their expertise and take their responsibilities. AI will expand the possibilities to understand and assist.”
Lisi's framing captures the consensus emerging among European banking executives: AI does not replace the human relationship in banking, it restructures what that relationship is actually doing. The routine, the bureaucratic, the documentary, all of that moves to the machine. The judgment, the context, the professional responsibility, those stay with the person.
Three Ways AI Is Changing the Banking Experience
According to sector expectations, AI will reshape the customer banking experience across three distinct operational areas:
- Direct client interaction: Banks want to give clients access to assistance whenever they need it, with comprehensible responses and the option to escalate to a human operator when the situation demands it. This is not a chatbot replacement strategy but a layered service model.
- Support for client-facing advisers: Several European banks are actively developing AI assistants deployed alongside remote advisers, helping them surface and apply relevant information faster. The intended outcome is a better-prepared professional who can focus attention on the conversation while the AI handles the procedural and documentary load.
- Pre-meeting preparation and scenario analysis: AI can gather relevant elements, model scenarios, and prepare the framework for adviser-client interactions. The adviser retains judgment, human contextual understanding, and professional accountability, while delegating research and documentation to the AI system.
These three use cases are not speculative roadmaps. Several institutions across France, Germany, and the UK are already piloting versions of each, with European Banking Authority guidance on AI model risk management providing a regulatory floor for deployment decisions.
AI as Finance's Next Frontier
Alongside digital currencies and on-chain money, AI represents a structural shift that financial institutions can no longer observe from a distance. The sector is not immune to technological disruption. What changes with AI is the pace: adoption cycles that took decades in earlier technology waves are now compressing into years.
For European banks and insurers, the strategic question is not whether to integrate AI but how quickly they can do so without compromising regulatory compliance under frameworks like MiCA (for digital assets) and the EU AI Act (for AI system risk classification, which entered into force in August 2024). Generali's 325 million euro commitment through 2027 and the public statements from BPER leadership signal that the largest institutions have already made their decision. Smaller credit institutions and regional banks now face a narrowing window to define their own AI strategy before the gap between early movers and laggards becomes structural.
