June 11, 2026
Which fintech and financial categories are showing the strongest signals of durable growth in 2026 — and what are experts saying the 'future of payments' looks like?
The fintech industry is entering a period of maturation and strategic reorientation following a dramatic venture capital cycle [1, 15]. Investment focus is pivoting away from high-cost, consumer-facing applications toward B2B and infrastructure solutions that address persistent back-office inefficiencies in areas like wealth management, compliance, and loan servicing [1, 13, 20]. Leading fintechs such as SoFi, Square, and Robinhood are evolving into "full-stack" platforms by acquiring banking charters, which allows them to control their product suites and capitalize on deposit flows in a higher interest rate environment [5, 6, 8, 14, 18]. This consolidation and maturation are creating a new class of "hyperscalers" like Nubank and Stripe that are beginning to seriously challenge incumbent banks, with an IPO window for companies like Klarna and Chime expected to reopen in 2025-2026, signaling a new phase of market stability .
Artificial intelligence presents the most significant dual-edged opportunity and threat to the financial sector. On one hand, AI is the primary enabler of sophisticated financial fraud, a category growing at **18-20% annually** and becoming increasingly unpredictable [1, 7, 10, 12, 17]. On the other hand, AI offers a transformative solution to the industry's labor-intensive cost structure, with the potential to convert the estimated 90% of the $30 trillion financial services market currently spent on labor into more efficient software . A key inflection point is predicted for 2026, when the operational risk of maintaining fragile, decades-old legacy mainframe systems is expected to finally exceed the risk of modernization [11, 19, 29]. This will likely trigger a massive wave of investment in AI-native platforms designed to automate processes in banking and insurance, creating a significant market for new enterprise software vendors [11, 23].
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The future of payments is being shaped by the expansion of embedded finance and the integration of blockchain technologies. The concept of "every company will be a fintech company" is materializing as non-financial enterprises like Ford and John Deere integrate financial services directly into their customer experiences using infrastructure from providers like Plaid [2, 3, 4]. This trend expands the addressable market for financial infrastructure and creates new revenue streams in traditionally non-financial sectors [1, 4]. Concurrently, payment rails are evolving toward a convergence of traditional finance and digital assets, with experts predicting that bank accounts holding dollars will increasingly coexist with or be replaced by digital wallets holding stablecoins . This shift is accompanied by growing institutional adoption of blockchain networks like Solana, with these firms demanding "total secrecy" on-chain to protect transaction values and participant identities [22, 24].
What the sources say
Points of agreement
- •AI is a dual force, simultaneously driving a surge in sophisticated financial fraud while also offering a massive opportunity to automate back-office processes.
- •Investment and innovation are shifting away from consumer-facing fintech towards B2B and infrastructure solutions that solve problems for large financial institutions.
- •A tipping point is expected around 2026 where the risk of not replacing legacy systems in banking and insurance will force a wave of modernization.
- •Embedded finance is a durable growth trend, with non-financial companies like Ford and John Deere integrating financial services into their products.
Points of disagreement
- •One vision for the future of payments involves the convergence of traditional bank accounts with digital wallets holding stablecoins.
- •Another perspective sees the future as fintechs becoming 'full-stack' institutions by acquiring banking charters to control their own infrastructure.
- •A third view is that the future involves institutions increasingly operating on crypto networks like Solana, demanding on-chain privacy.
- •Some experts see AI's primary impact in automating internal work like loan servicing, while others predict it will fundamentally change consumer-facing applications like mortgage lending.
Sources
How AI Will Transform Fintech In 2026 (a16z Podcast, Dec 19, 2025)
This source details the maturation of fintech, the shift to B2B/infrastructure, the rise of embedded finance, and AI's dual role in driving both fraud and automation.
State of Fintech 2025: Everything You Need to Know - Rex & Simon Talk Fintech SPECIAL (Rex & Simon Talk Fintech, Dec 24, 2024)
This source discusses the rise of fintech 'hyperscalers', the potential for AI to convert labor costs to software solutions, and the expected reopening of the fintech IPO window.
AI Is Coming For These 3 Industries In 2026 (a16z Big Ideas) (a16z Big Ideas, Dec 26, 2025)
This source predicts a 2026 tipping point where the risk of not replacing legacy systems in banking and insurance will force a wave of modernization.
Privacy & Institutional Crypto's [Redacted] Future | DAS NYC 2026 | Day 1 | Institutional (DAS NYC, Mar 31, 2026)
This source predicts that by 2026, financial institutions will increasingly operate on crypto networks like Solana and demand on-chain privacy.
AI in 2026: 3 Predictions For What’s To Come (a16z Big Ideas) (a16z Podcast, Dec 31, 2025)
This source provides a specific example of AI application in the loan servicing industry through AI voice agents.
Related questions
Which specific B2B infrastructure and compliance solutions are gaining the most traction with large financial institutions?
→What is the projected market size for embedded finance within non-traditional industries like automotive and agriculture by 2026?
→How are anti-fraud technology providers evolving their solutions to combat the rise of AI-driven financial crime?
→Which incumbent banks are most at risk from the 'legacy system modernization' trend, and which are leading the adoption of new AI-native platforms?
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