Will AI Agents Redefine European Payments by 2035?

Article Highlights
Off On

The European payment landscape is poised for seismic transformation driven by technological advancements and changing consumer behaviors, according to a comprehensive study conducted by Tietoevry Banking in partnership with Celent. Among the highlights is a prediction that the value of digital transactions in major European markets like Germany, the Netherlands, Poland, Spain, and the UK will escalate to a staggering €1.090 trillion by 2035. This growth is anchored largely in the advent of artificial intelligence (AI) agents, which are expected to fundamentally shift both purchasing and transaction behaviors. These AI-driven systems, alongside the increasing adoption of Account-to-Account (A2A) payment services, are anticipated to challenge and potentially surpass traditional payment methods, ushering in an era where AI intervenes noticeably in consumer choices and financial interactions. As traditional cards and digital wallets evolve, the landscape will require adaptability from financial institutions and other stakeholders.

A2A Payment Services and Digital Currencies

The competition among various payment options is intensifying as Account-to-Account (A2A) payment services grow in prominence, promising to redefine the landscape over the next decade. Already, A2A’s predicted rise in market share from 24% to 40% signals a significant shift, threatening the dominance of traditional payment cards. Financial institutions are increasingly focusing on developing seamless and efficient A2A solutions to cater to evolving consumer preferences. Furthermore, digital wallets, a staple in the current payment ecosystem, may undergo transformations as they become less distinct standalone methods, possibly integrating more issues rooted in A2A frameworks. The emergence of digital currencies, including the potential digital euro, also reflects the changing dynamics. Despite limited overall transactions, they offer novel applications and financial maneuvering, requiring strategic responses from both regulators and market players. As digital currencies gain visibility, stakeholders are being called to innovate and weave these developments successfully into existing payment infrastructures.

The Rise of Instant Payment Methods

In the continuously shifting payment ecosystem, different approaches like instant payment methods and Buy Now Pay Later (BNPL) services are attracting considerable consumer interest while driving financial innovation. These options promise to create profound opportunities for banks and wallet providers who need to focus on diversifying their portfolios to offer modern products grounded firmly in A2A frameworks. With credit linked to A2A transactions expected to substantialize to €35.7 billion, accounting for over 7% of total pay later values, emphasis among these providers should be placed on establishing robust credit programs. Such developments underscore the importance of nimble financial strategies that adapt and respond to changing consumer behaviors. Modernizing payment mechanisms and decision-making processes is crucial, as smaller, emerging players work tirelessly to integrate credit options and innovative payment solutions. These dynamics challenge the traditional narratives in consumer finance and stimulate opportunities for forward-thinking businesses.

AI-Driven Consumer Behavior

The introduction of AI-powered agents represents a transformative shift not just in payment methods, but also in consumer behavior, a frontier that few industries comprehend but many are keen to master. By 2035, these AI systems are predicted to generate €191 billion in digital commerce, contributing to 17.5% of total e-commerce volume—a statistic that demands attention due to its impact across multiple sectors. Expected areas of influence include travel, food and drink, digital content, and financial services, where AI agents are expected to optimize various decision-making processes. This profound shift requires strategic insights and enhanced technological capabilities from businesses wishing to adapt to the evolving landscape. Businesses across different sectors are encouraged to explore collaborations that leverage AI-driven insights, all the while remaining cognizant of industry-specific needs.

Strategic Collaboration and Transformation

The payment landscape in Europe is on the brink of a remarkable transformation, fueled by both technological innovation and shifts in consumer behavior, a study by Tietoevry Banking and Celent reveals. A key forecast in the study estimates that by 2035, digital transaction values in leading European markets such as Germany, the Netherlands, Poland, Spain, and the UK will soar to an impressive €1.090 trillion. This surge is largely attributed to the rise of artificial intelligence (AI) agents, which are anticipated to significantly alter purchasing habits and transaction processes. Along with the growing use of Account-to-Account (A2A) payment services, AI-driven systems are poised to challenge and potentially outperform traditional payment methods. This shift heralds a future where AI plays a crucial role in consumer decision-making and financial dealings. As traditional payment methods like cards and digital wallets evolve, financial institutions and other stakeholders must remain adaptable to this shifting environment.

Explore more

Agentic AI Redefines the Software Development Lifecycle

The quiet hum of servers executing tasks once performed by entire teams of developers now underpins the modern software engineering landscape, signaling a fundamental and irreversible shift in how digital products are conceived and built. The emergence of Agentic AI Workflows represents a significant advancement in the software development sector, moving far beyond the simple code-completion tools of the past.

Is AI Creating a Hidden DevOps Crisis?

The sophisticated artificial intelligence that powers real-time recommendations and autonomous systems is placing an unprecedented strain on the very DevOps foundations built to support it, revealing a silent but escalating crisis. As organizations race to deploy increasingly complex AI and machine learning models, they are discovering that the conventional, component-focused practices that served them well in the past are fundamentally

Agentic AI in Banking – Review

The vast majority of a bank’s operational costs are hidden within complex, multi-step workflows that have long resisted traditional automation efforts, a challenge now being met by a new generation of intelligent systems. Agentic and multiagent Artificial Intelligence represent a significant advancement in the banking sector, poised to fundamentally reshape operations. This review will explore the evolution of this technology,

Cooling Job Market Requires a New Talent Strategy

The once-frenzied rhythm of the American job market has slowed to a quiet, steady hum, signaling a profound and lasting transformation that demands an entirely new approach to organizational leadership and talent management. For human resources leaders accustomed to the high-stakes war for talent, the current landscape presents a different, more subtle challenge. The cooldown is not a momentary pause

What If You Hired for Potential, Not Pedigree?

In an increasingly dynamic business landscape, the long-standing practice of using traditional credentials like university degrees and linear career histories as primary hiring benchmarks is proving to be a fundamentally flawed predictor of job success. A more powerful and predictive model is rapidly gaining momentum, one that shifts the focus from a candidate’s past pedigree to their present capabilities and