The three waves of banking innovation
Banking has evolved through three distinct waves over the past decade: mobile banking and financial inclusion, APIs and open banking, and the current wave combining digital public infrastructure with AI. Arjun Singh, Head of FinTech Partnerships for EMEA & APAC at Google, provides unique insight into how these waves transformed the industry and what comes next. His perspective, shaped by 15 years in fintech and conversations with banks worldwide, reveals why most institutions still struggle to execute despite massive technology investments.
The three waves built upon each other:
- Wave 1 - Mobile Banking: Digital infrastructure enabled financial inclusion across developing markets. Mobile phones became the primary banking interface.
- Wave 2 - Open Banking: Regulators forced data sharing. New players built on existing infrastructure, creating the ecosystem model.
- Wave 3 - AI Integration: Digital public infrastructure combines with cloud migration and artificial intelligence. India's digital public infrastructure serves as the global reference model.
According to McKinsey's Global Banking Annual Review, banks that successfully navigated these transitions have seen profitability improvements of 20-30% compared to laggards. The gap is widening.
Why most banks still can't execute
Despite massive investment, most banks struggle to turn technology into competitive advantage. Singh was direct about the root cause: fragmented systems. Regional banks typically run 30-50+ applications that can't communicate effectively, making AI orchestration nearly impossible.
This observation aligns with what Deloitte's banking research has found: only 16% of financial institutions have moved AI beyond the pilot stage. The bottleneck isn't the AI models. It's the fragmented architecture beneath them.
Banks running on unified engagement platforms can orchestrate data and decisions across channels. Banks patching together legacy systems get trapped in endless integration projects.
The trillion-dollar problem no one wants to discuss
"$1 trillion a year is what's being lost to fraud and scams globally," Singh stated. The banking industry needs coordinated action to fight this threat.
Key fraud statistics:- Global losses: $1 trillion annually
- Organization impact: 5% of revenue lost to fraud
- Bank exposure: Higher than average due to dual role as targets and intermediaries
Singh argued this challenge requires platform-level solutions. Point solutions for fraud detection can't keep pace with sophisticated attacks that span channels and institutions. Banks need architectures that provide real-time visibility across the entire customer relationship.
From adversarial to allies: the new bank-fintech relationship
The narrative around banks versus fintechs has shifted dramatically. Singh traced the evolution from adversarial to collaborative over his 15 years in fintech. Today's dynamic is fundamentally different.
Fintechs bring innovation velocity. Banks bring scale, trust, and regulatory expertise. The winners are those who can combine both.
"The best banks aren't trying to do everything themselves," Singh noted. "They're creating platforms where the best fintechs can plug in and add value." This platform approach is central to modern banking architecture.
Three technologies that will reshape banking
Singh identified three technologies reshaping banking's future:
- Agentic AI: AI will evolve from recommendations to autonomous decision-making. Banks need platforms that manage AI agents while maintaining compliance.
- Asset Tokenization: Fractional ownership and instant settlement will create new products and competitors. Payment tokenization accelerates this trend.
- Quantum Computing: Still emerging but requires preparation now. Current encryption methods face future quantum threats.
These technologies have profound implications for customer engagement. Banks will need platforms capable of managing increasingly complex interactions while maintaining governance. The World Economic Forum has warned that quantum computing could break current encryption methods, requiring banks to prepare now.
Data: the foundation everything else depends on
Throughout the conversation, Singh returned to one theme: data infrastructure determines what's possible. "The most important layer in my mind is that data layer," he emphasized. "Unified data, regardless of where those 30 applications are, into a common infrastructure - that's where everything starts."
Without unified data, AI can't learn. Without AI, personalization stays theoretical. Without personalization, banks lose customers to competitors who deliver relevant experiences.
According to Forrester Research, data-driven banks achieve 8x higher customer satisfaction scores than peers. But only banks with unified data architecture can actually become data-driven.
FAQ: Why can't banks with fragmented systems use AI effectively?Fragmented systems scatter customer data across 30-50+ applications that can't communicate, making it impossible for AI to get a complete view of customer relationships and behavior patterns.
Customer experience as competitive moat
Singh offered a clear prescription for banks wondering where to focus. Focus on customer experience as your competitive advantage.
- Step 1: Fix customer experience
- Step 2: Build unified data foundation
- Step 3: Deploy AI as natural extension
The sequence matters. Banks that chase AI without fixing their foundation waste resources on pilots that never scale.
"The proof is in execution," Singh concluded. "The banks that are winning aren't the ones with the biggest AI budgets. They're the ones who solved the platform problem first."
The bottom line
Singh's perspective cuts through banking transformation noise. The technology exists and use cases are proven - the gap is execution.
Banks face a binary choice: unify platforms or watch competitors pull ahead. The next decade rewards execution, not more pilots.
This article is based on the Banking Reinvented podcast episode featuring Arjun Singh. Listen to the full conversation on the Banking Reinvented podcast.
