Banks are losing the AI race—and they don’t even know it. While 33% of consumers in the U.S., Canada, and the UK are using conversational AI for personal finance, 24% of these users are turning to platforms outside their bank’s ecosystem. This isn’t just a tech trend; it’s a fundamental shift in customer behavior that threatens to leave traditional banks behind.
What Matters Most
- A third of consumers use conversational AI for finance, with many preferring external platforms.
- Third-party AI tools are redefining customer engagement in banking.
- Banks need to rethink strategies beyond just upgrading chatbots.
- There’s a risk of losing direct customer relationships to external AI interfaces.
- Embracing conversational banking can improve customer support and access.
Why This Is Showing Up Now
Forrester’s latest data shows a rapid shift in consumer behavior, with 31% of consumers now using AI for financial queries. This shift marks a critical moment for banks as the focus on customer experience pivots towards personalized, efficient, and accessible services. The competitive landscape is heating up: financial institutions must adapt quickly or risk losing control over customer relationships to third-party tools.
Banks that experimented with chatbots are at a crossroads. Many early virtual assistants failed to scale effectively. With AI tool adoption surging, banks must not only enhance their chatbots but also rethink their entire engagement strategy. The urgency is clear: consumers prefer AI-driven tools that simplify financial inquiries.
The New Reality of Conversational Banking
The challenge for banks isn’t just about implementing chatbots—it’s about redefining customer engagement. Traditional banking models are being disrupted as more consumers turn to third-party AI for immediate answers. While banks like Wells Fargo and JPMorgan Chase are experimenting with AI-driven chatbots, they face stiff competition from platforms like Google’s Gemini AI, which offers faster, more intuitive responses.
The trade-off is clear. While banks can improve customer support through conversational banking, they risk alienating customers who prefer the immediacy of third-party tools. The common belief is that enhancing chatbot capabilities is enough, but banks need a new engagement model that prioritizes seamless interactions across multiple platforms.
The Patterns Worth Paying Attention To
1. Consumer Adoption of AI Tools
- Nearly one in three consumers use conversational AI for finance.
- This reflects growing trust in AI-driven responses over traditional banking channels.
2. Third-Party Competition
- 24% of users engage with tools outside their bank’s ecosystem.
- Tools like ChatGPT and Gemini are perceived as more accessible, challenging banks.
3. Necessity for New Engagement Models
- Upgrading chatbots alone isn’t enough.
- Banks must create integrated experiences that blend their services with AI capabilities.
4. Shift in Customer Expectations
- Customers demand quick, accurate responses to financial inquiries.
- Traditional banking interactions are seen as cumbersome and outdated.
5. The Importance of Ownership
- Banks need to maintain direct relationships with customers, avoiding mediation through external tools.
What the Evidence Actually Says
- 31% of consumers in the U.S., Canada, and the UK use conversational AI for personal finance inquiries (Forrester, March 2026).
- 24% of these users prefer third-party tools like ChatGPT for their financial questions.
- Many banks, including Wells Fargo, have implemented AI chatbots, but adoption rates remain low due to poor user experiences.
- The shift to conversational banking offers a potential increase in customer satisfaction and retention if executed correctly.
Source note: The data on consumer adoption comes directly from Forrester’s March 2026 report, while observations about banks like Wells Fargo are based on industry trends rather than specific studies.
What Most People Get Wrong
Most believe that enhancing chatbot capabilities is the key to succeeding in conversational banking. They assume adding more features will attract users back to the bank’s platforms. This view is flawed. Consumers gravitate towards third-party AI tools for a more accessible and engaging experience.
For example, while banks like JPMorgan Chase continue investing in chatbot technology, they overlook that customers are comfortable seeking information from external sources like Google and ChatGPT. The expectation has shifted: consumers want immediate, intuitive interactions that traditional banking apps struggle to provide. Banks must focus not just on technology upgrades but on rethinking how they connect with customers.
Quick Checklist
- Analyze your current chatbot performance metrics.
- Survey customers about their experiences with external AI tools.
- Develop a strategy for integrating third-party AI capabilities into your offerings.
- Ensure your platform is optimized for quick, intuitive user interactions.
- Train staff on how to support customers using conversational AI tools.
What to Do This Week
Open your customer feedback channels and gather insights on how your users interact with both your chatbots and third-party AI tools. Focus on understanding their preferences and pain points. Then, develop a roadmap for integrating conversational banking features that leverage AI, ensuring you remain competitive in this shifting landscape.