Technology

AI in banking: 10 predictions that will define 2026

16 December 2025
4
mins read

2026 will be a big year for AI in banking. It will be the year when financial institutions shift from experimentation to execution, from pilots to performance, from promise to measurable results.

After analyzing insights from over 20 banking executives, technology leaders, and industry experts, we can confidently say: the banks that win in 2026 won't be the ones with the biggest budgets or the longest histories. They'll be the ones that move fastest, build smartest, and put intelligence at the core of every customer interaction.

Here's a summary of what's coming, taken directly from our The 2026 Banking Predictions Report.

1. AI moves from the lab to the front lines

The experimentation phase is over. While 78% of banks remained in "tactical mode" as of late 2024, that's changing fast. In 2026, AI will move from isolated proofs of concept to enterprise-wide deployment, touching everything from customer servicing to compliance and software development.

The early wins will show up in three areas: faster customer service, automated compliance reviews, and dramatically accelerated software delivery. McKinsey research shows that banks have increased developer productivity by 40% using AI copilots. That's more than just incremental improvement, it's transformation.

The catch: AI is only as powerful as the data foundation beneath it. Banks running on fragmented systems will struggle. Banks that unify their data and channels into a single platform will pull ahead.

2. Trust becomes an undeniable competitive advantage

As AI scales, so does fraud. Deepfake-related fraud attempts have surged 2,137% over the past three years, and genAI-enabled fraud losses could hit $40 billion by 2027 in the U.S. alone.

Trust will emerge as a defining competitive advantage in 2026. Customers will judge banks not just by convenience, but by how safe they feel. The winners will unify fraud detection, decisioning, and case management across every channel, using behavioral biometrics, continuous verification, and content-authenticity controls to stop attacks before they spread.

And they'll do it transparently so everyone can see. Banks that explain how they protect customers through anti-scam education, clear fraud-resolution timelines, and visible accountability will earn lasting loyalty.  AI has lowered the cost of deception, the institutions that operationalize trust will cut losses and gain market share.

3. Payments become invisible, instant, and intelligent

Money movement is blending into everything. In 2026, payments will be fully embedded, invisible, and intelligent, triggering instantly in the background without disrupting the user experience.

Digital wallet users already represent 53% of the global population. Instant payment volumes are growing from 16% in 2023 to a projected 22% by 2028. And with programmable money, tokenized currencies, and unified APIs, banks can earn from orchestration, connecting cards, accounts, wallets, and digital currencies into seamless experiences.

This creates new revenue at the moment of payment: instant financing, FX optimization, data-driven insights, and working-capital tools that strengthen client relationships while generating new income. The banks that deliver smooth, always-on payment experiences will set the benchmark for modern money movement.

4. Open banking evolves into open finance

Open banking started as a compliance exercise. In 2026, it will become a revenue engine.

With 80% of banks worldwide planning to invest in open banking technology, the shift from regulation to monetization is accelerating. Banks that productize APIs, monetize data, and embed services in partner ecosystems will move from compliance costs to ecosystem-led growth.

Embedded finance is already valued at $104.8 billion in 2024 and projected to reach over $834 billion by 2034. That's a 23% annual growth rate. The institutions that treat regulatory infrastructure as a competitive advantage will unlock new distribution channels and lasting relevance.

5. Incumbents face their toughest test yet

The global neobanking market was valued at $210 billion in 2025 and is projected to reach $3.4 trillion by 2032, growing at nearly 49% annually. That should be a wake-up call.

Traditional banks have an advantage: customer trust, regulatory expertise, and capital. But that advantage disappears if they can't deliver modern experiences. Only one in four banks worldwide is actively using AI to gain a competitive edge. The rest are stuck in pilot mode.

So how do banks move forward? They need unified platforms that connect data, analytics, and channels end to end. Banks that match digital natives on speed while surpassing them on trust, governance, and accountable personalization will define the next era.

6. Retail banking becomes proactively personal

By 2026, retail banking will quietly run in the background of everyday life. AI co-pilots will anticipate needs, automate money movement, and elevate financial wellness, turning banks from service providers into active partners in customers' financial lives.

The winners will be those who can pull off orchestration at scale: unifying data, personalization, and payments across every channel. Agentic assistants will automate savings and cash-flow decisions. Predictive insights will help customers make smarter choices before they realize the need. And financial-wellbeing coaching will become a core differentiator.

Bank of America's virtual assistant, Erica, has already surpassed 2.5 billion client interactions, handling requests and providing proactive insights for 20 million customers. 85% of banking executives believe AI will transform the industry within five years. The question is: will your bank be ready?

7. Wealth and private banking get smarter

In 2026, wealth management will be defined by two forces: hyper-automation in operations and deep personalization in client experiences.

AI copilots will handle prep work, portfolio reviews, and next-best-action suggestions, freeing human advisors to focus on life goals, values, and complex strategy. Where it was once uneconomical to offer high-touch service beyond the wealthiest clients, AI now makes it viable to extend personalized planning to the broader mass-affluent segment.

Private banking will follow a similar path. Intelligent copilots will elevate the minimum standard of service across entire client books, ensuring even lower-value segments receive consistent, proactive engagement. Higher floor for service, stronger foundation for retention and loyalty.

8. Small business banking gets reimagined

SMB banking in 2026 will be redefined by speed, precision, and ecosystem-based intelligence.

Agentic-digital collaboration will support bankers with AI copilots that monitor cash reserves, flag risks, and suggest next steps proactively. Onboarding will be almost instantaneous via digital KYC and credit decisions. And embedded finance, payments, insurance, and working-capital credit will move from peripheral offerings to core banking propositions.

Embedded finance could capture 26% of the global SMB banking market by 2026, driving $32 billion in revenue. Banks that deploy modular architecture, dynamic credit models, and alternative data scoring will expand their addressable market and become integral to small business growth.

9. Commercial banking leans into the power of platforms

Commercial banking is shifting from defensive to offensive strategies. In 2026, the leaders will be those that re-architect for speed, adaptability, and value delivery.

API-first treasury and balance-sheet orchestration will enable real-time optimization of cash, payments, FX, and working capital. Agentic operations will coordinate everything from onboarding to reconciliation. And AI-driven credit and portfolio management will monitor exposures in real time, re-price dynamically, and serve previously underserved clients.

70% of commercial banks have adopted AI in at least one core function. The institutions that move from monolithic systems to modular platforms will unlock growth through intelligence, interoperability, and purpose.

10. The path forward: intelligence, composability, and connection

The next phase of banking transformation is about intelligent growth.

Banks that combine AI-driven intelligence, composable design, and interconnected customer experiences will lead in 2026. They'll move faster, learn faster, and grow continuously, powered by architectures built for momentum, not maintenance.

Three priorities to set for 2026:

Make intelligence your growth engine.

Embed AI into every decision, journey, and customer interaction. But remember: AI's effectiveness depends on unified, well-governed data.

Build for composability.

Embrace modular, cloud-native foundations that evolve as fast as customer expectations. Agility is the new differentiator.

Connect every experience.

The future is defined by fluid experiences that connect products. Turn fragmented touchpoints into adaptive ecosystems.

2026 will be the year banks stop talking about transformation and start proving it.

The question is: will you lead, follow, or watch from the sidelines?

Read the report
About the author
Backbase
Backbase is on a mission to to put bankers back in the driver’s seat.

Backbase is on a mission to put bankers back in the driver’s seat — fully equipped to lead the AI revolution and unlock remarkable growth and efficiency. At the heart of this mission is the world’s first AI-powered Banking Platform, unifying all servicing and sales journeys into an integrated suite. With Backbase, banks modernize their operations across every line of business — from Retail and SME to Commercial, Private Banking, and Wealth Management.

Recognized as a category leader by Forrester, Gartner, Celent, and IDC, Backbase powers the digital and AI transformations of over 150 financial institutions worldwide. See some of their stories here.

Founded in 2003 in Amsterdam, Backbase is a global private fintech company with regional headquarters in Atlanta and Singapore, and offices across London, Sydney, Toronto, Dubai, Kraków, Cardiff, Hyderabad, and Mexico City.

Table of contents
Vietnam's AI moment is here
From digital access to the AI "factory"
The missing nervous system: data that can keep up with AI
CLV as the north star metric
Augmented, not automated: keeping humans in the loop