FinTech Strategy hears from the experts at DeepL, PagerDuty, Bitpace and Pleo who assess the impact of AI, crypto, stablecoins, tokenised payments and more on financial services in 2026

Looking back at 2025, it was a pivotal year for financial services. The past 12 months have been marked by growing regulatory pressure, publicised outages, and a renewed focus on decentralised finance. In January, the Digital Operational Resilience Act (DORA) officially came into force across the EU, imposing new obligations on banks, insurers, investment firms and their technology providers to better manage ICT risks, report incidents and ensure continuity of operations.

That regulatory shift has come at a time when real-world failures are under intense scrutiny. A report from the Treasury Committee, prompted by a wave of IT glitches, revealed that nine of the UK’s largest banks and building societies suffered at least 803 hours of unplanned outages between January 2023 and February 2025, equivalent to more than 33 days of downtime. Alongside revision of traditional finance strategy, pro-crypto policy emerging from the US with the new administration has also buoyed investor confidence in newer assets like stablecoins, with the global market slated to hit $500 to $750 billion in coming years.

These events have reinforced a hard truth across the sector: digital infrastructure is no longer just a supporting pillar, it is mission-critical. Against this backdrop, many firms are now rethinking how they build, monitor and respond to technology risk. In this transformational moment, the voices below outline why 2026 may well become the year financial services firms turn lessons into lasting change, providing predictions about FS in 2026.

Eduardo Crespo, VP EMEA, PagerDuty:

“By 2026, financial services firms have turned hard-won lessons from the Treasury’s 2025 outage reports into action. Years of costly downtime and lost trust pushed the industry to rebuild around resilience. Always-on access is non-negotiable. Customers leave if they can’t transact in real time, and regulators are watching. In response, banks are overhauling legacy stacks and embedding AI at the core of incident management.

“AI isn’t a pilot project anymore, it’s become part of frontline defence. Systems now detect and diagnose disruption before it happens, enabling predictive maintenance and softening the blow of unplanned events. In 2026, resilience is a competitive edge.”

Anil Oncu, CEO, Bitpace:

“By 2026, digital assets will no longer be considered emerging. They will be fully embedded in mainstream finance. The shift is accelerating, driven by clearer regulation and stronger institutional participation across the US, UK and Europe. Pro-crypto policy is now the backbone of a global effort to build stablecoin-powered commerce at scale.

“In the UK, the Bank of England’s decision to allow stablecoin reserves to be held in short-term government debt is a significant signal of confidence. In the US, the GENIUS Act provides long-overdue oversight for dollar-backed tokens and replaces years of ambiguity with a clear path to legitimacy and widespread adoption.

“As global stablecoin supply moves beyond $300 billion, these digital dollars will support a rapidly increasing share of cross-border transactions. They reduce fees, eliminate settlement friction, and outperform traditional rails in both speed and transparency. At the same time, regulators are finally moving in the right direction. Stablecoins are moving from a speculative tool into a trusted infrastructure layer for modern payments.

“By 2026, digital assets will no longer sit alongside traditional finance. They will power its next phase of development. Stablecoins, crypto ETFs, and tokenised payments will be used directly within the financial stack and will be part of everyday business and consumer activity worldwide. This is not hype. It is execution, and the market is already moving.”

Ed Crook, VP Strategy & Operations, DeepL:

“2026 will be make-or-break for many financial services providers. In a competitive market, the edge goes to providers who adopt useful AI to cut through inefficient workflows. In this sector, where every interaction is highly regulated and reputational risk is acute, businesses need the right tools for the job. This includes data protection, account security, compliance, IT ops and customer service – keeping fundamental lines of communication open and effective. These are all areas where AI is already solving critical problems.

“AI is fast becoming the connective tissue of international finance, and this trend will continue in 2026, particularly in customer engagement and operational support. Our FS research found that over a third (37%) of client interactions in UK finance already involve AI. Over half (52%) use AI for multilingual translation, the top use case, directly addressing linguistic fragmentation. Moving into the new year, Language AI will be a key practical tool for financial services firms. But these companies first need to iron out their strategy around AI integration. Staff will inevitably look for workarounds if the tools provided don’t meet their needs. This is why companies need to get ahead by providing secure, fit-for-purpose solutions. By building a collaborative approach between IT and frontline teams, and avoiding pitfalls around shadow AI, financial service firms can maintain a unified, strategy approach to AI deployment, protecting against cybersecurity threats, while still realising the full benefits of trusted AI.”

Jeppe Rindom, CEO and Co-Founder, Pleo:

“Automation and “agentification” will redefine the fintech landscape. Most of what’s considered operational today will be handled by intelligent systems, from finance ops to customer support. That playing field will level and expectations will rise.

“To stand out, companies will need to inject identity – the one thing only humans can create. That could be through exceptional product design and user experience, considered use of human touchpoints where emotion and trust matter most, or the depth in which problems are solved for customers, not just how fast they can be solved.

“As the average becomes automated, greatness will come from creativity, clarity and crafting products and experiences that still feel unmistakably human.”

The Next 12 Months

The start of 2026 marks a massive turning point for financial services. After a year defined by renewed pressure on service uptime and improvement, around outages, regulatory pressure and rapid technological acceleration, the industry is now moving from reaction to reinvention.

In the coming year, we’ll see that firms embedding resilience, embracing intelligent automation and identifying new trends in service provision will lead the pack. The future of finance will hinge on trust, modernisation and operational strength, backed by technology.

  • Artificial Intelligence in FinTech
  • Blockchain & Crypto
  • Digital Payments

New DeepL research finds AI is now used for over a third (37%) of customer interactions across UK financial services, with multilingual communication as the leading application. However, nearly two-thirds (65%) of UK financial services professionals admit employees are already using unapproved AI tools to communicate with customers

Artificial intelligence is rapidly becoming essential to how UK banks and fintechs retain customers in international markets, according to new research from DeepL, a global AI product and research company. A new survey of 1,500 financial services professionals in Europe, including 500 across the UK reveals that AI is now embedded in customer communications – from faster support to real-time multilingual translation – with over a third (37%) client interactions already AI-powered. With nearly half of all client work now cross-border, firms are using AI to deliver consistent, trusted experiences at speed and scale. But the research also highlights growing risks from “shadow AI,” as employees turn to unapproved tools that could undermine customer trust and regulatory compliance.

AI’s Developing Role in Financial Services Customer Comms

AI is now responsible for a significant share of customer interactions in UK financial services companies. On average, 37% of all client communications already involve AI tools, a figure that is projected to rise to 46% within 12 months and 50% within three years. 

The most common uses for AI in UK customer communications include:

  • AI powered translation (used by 52% of respondents) 
  • Virtual assistants or chatbots for banking queries with customers (51%)
  • AI for fraud alerts and transaction monitoring (50%)
  • Automated responses for credit card or account support (48%)
  • Wealth management or investment advice (48%)

Translation is the most popular use case, reflecting the pressures financial services firms face in serving increasingly international customer bases, overcoming persistent language barriers, and addressing challenges in hiring multilingual staff.

How AI is Changing the Face of Cross-Border Comms

Over a third (39%) of all customer work in UK financial services companies is now cross-border. Yet firms are struggling to keep pace with the communication demands that come with international business: 85% percent of professionals report that language gaps have slowed down customer activity for non-English speakers, and 84% say it is difficult to hire staff who can communicate effectively across multiple languages and regions.

Against this backdrop, AI is emerging as a powerful tool to improve customer communication. Seven in ten UK finance professionals say AI improves the speed and availability of customer support, while the same proportion believe it helps maintain consistent communication quality across languages. Over seven in ten also report that customers are more satisfied when service is available in their preferred language. These findings highlight how AI is not only helping firms manage the complexity of cross-border work but also strengthening customer trust and loyalty in highly competitive markets.

Shadow AI Risks the Reputation of Financial Services Firms

Alongside rapid adoption of AI in customer facing areas comes increased risk. The research highlights mounting concerns around “shadow AI,” where employees turn to unapproved AI tools to save time but without oversight or safeguards. 

Nearly two-thirds (65%) of UK financial services professionals admit employees are already using unapproved AI tools to communicate with customers. This poses serious cybersecurity and compliance concerns, as sensitive data may be exposed without the right safeguards. Shadow AI often arises when teams do not have access to the specialist tools they need — for example, using general-purpose AI tools when secure, purpose-built translation solutions are required. To address this, firms must ensure IT and customer-facing teams work together to choose the right solutions.

“In financial services, where every interaction is highly regulated and reputational risk is acute, staff will inevitably look for workarounds if the tools provided don’t meet their needs,” said David Parry-Jones, Chief Revenue Officer at DeepL. “The real risk is not employees experimenting with AI, but companies failing to give them secure, fit-for-purpose solutions. By building a collaborative approach between IT and frontline teams, organisations can avoid shadow AI, protect against cybersecurity threats, and still realise the full benefits of trusted AI.”

About DeepL

DeepL is a global AI product and research company focused on building secure, intelligent solutions to complex business problems. Over 200,000 customers and millions of individuals across 228 global markets today trust DeepL’s Language AI platform for human-like translation, improved writing and real-time voice translation. Building on a history of innovation, quality and security, DeepL continues to expand its offerings beyond the field of Language, including the soon to be released DeepL Agent – an autonomous AI assistant designed to transform the way businesses and knowledge workers get work done. Founded in 2017 by CEO Jaroslaw “Jarek” Kutylowski, DeepL now has over 1,000 passionate employees and is supported by world-renowned investors including Benchmark, IVP, and Index Ventures. For more information on DeepL, visit www.deepl.com

Methodology

As a part of DeepL’s ongoing effort to analyze industry-specific and regional trends in AI adoption, Censuswide conducted a survey in June 2025 on behalf of DeepL. The research targeted 1501 professionals in financial services, split evenly across commercial banking, retail banking, fintech, and payments. The participants were located in France, Germany, the UK and Ireland, and answered nine multiple-choice questions. The questions gathered insights on how financial services teams use AI in customer service—from multilingual communication and onboarding to fraud alerts, virtual assistants, and the impact on speed, quality, and trust.

  • Artificial Intelligence in FinTech