Banking has always evolved – But the pace is accelerating
The banking industry has never stood still. From paper-based ledgers to online banking, from branch-centric models to mobile-first experiences, financial institutions have continuously adapted to changing technologies, regulations, and customer expectations. Change has always been part of banking.
What makes today’s transformation different is not that change is happening, but the speed at which it is accelerating. Multiple forces are reshaping the industry simultaneously, forcing institutions to rethink not only their products and services, but increasingly their operating models and technology architectures as well.
The question is no longer whether banking will continue to transform. The real question is whether banks are building the foundations required to keep pace with the next wave of change.
What’s driving change today?
Banks are being challenged from multiple directions at once.
Regulatory requirements continue to increase, while initiatives such as open finance, instant payments, and shorter settlement cycles are pushing institutions toward increasingly interconnected and real-time operating environments. At the same time, technological progress continues to expand what is possible. Artificial Intelligence, advanced analytics, cloud computing, digital assets, and automation are rapidly moving from innovation labs into real-world applications.
Client expectations are evolving just as quickly. Customers increasingly compare their banking experience not only with other banks, but with the digital services they use every day. Waiting several days for onboarding, credit approvals, or transaction processing is becoming increasingly difficult to justify. Clients expect seamless digital interactions, immediate access to information, and rapid decision-making.
Competition is changing as well. Traditional banks no longer compete only with each other. Neobanks, payment providers, specialized lenders, digital asset platforms, and countless FinTechs are targeting specific parts of the value chain with highly optimised solutions. At the same time, a growing ecosystem of specialised providers is emerging, offering services ranging from onboarding and compliance to analytics, payments, lending, and securities processing.
Depending on the business model, a bank may need to interact with dozens or even hundreds of external solutions. As a result, interoperability, integration capabilities, and data exchange are becoming increasingly important competitive factors in their own right.
AI: The obvious answer?
Faced with these pressures, Artificial Intelligence has become the obvious answer for many institutions.
AI promises greater efficiency, lower costs, improved decision-making, and better customer experiences. The range of potential applications is impressive. Banks are already exploring AI-powered onboarding, automated document review, intelligent transaction monitoring, credit decisioning, client advisory support, voice-to-text solutions, and natural-language interfaces. More advanced use cases, including predictive analytics, personalised financial recommendations, and agentic AI solutions, are rapidly emerging.
There is little doubt that AI will play a major role in the future of banking.
Many activities that currently require significant manual effort can already be streamlined by leveraging modern, integrated technologies where AI is embedded directly into existing workflows. This enhances efficiency across administrative tasks, accelerates decision-making, and elevates customer interactions through increasingly intelligent digital assistants. However, while AI amplifies these benefits, it does not, on its own, enable true end-to-end process transformation without broader system integration. The potential benefits are real, and institutions that ignore AI risk falling behind.
However, there is a fundamental challenge that often receives far less attention than the technology itself.
AI is only as effective as the environment in which it operates.
The uncomfortable truth: AI needs modern foundations
Many financial institutions still rely on core banking systems that were designed decades ago and have not evolved sufficiently to support ongoing innovation.. These systems were built for batch processing, fragmented data structures, and relatively stable operating models. They were not designed for real-time processing, open ecosystems, continuous data exchange, or AI-driven decision-making.
As a result, many banks face a growing contradiction. They are investing heavily in AI initiatives while operating on infrastructures that make it difficult to fully leverage those capabilities. Data remains fragmented across systems, processes are often only partially automated, and integration with external solutions can be complex and costly.
Under these conditions, even the most promising AI initiatives risk remaining isolated proofs of concept rather than becoming enterprise-wide capabilities.
This is why the real challenge facing many banks is not Artificial Intelligence itself. The challenge is technological readiness.
Modern AI requires modern foundations: centralised and reliable data, real-time processing capabilities, automated workflows, and architectures that can easily integrate both internal and external services. If data remains inconsistent, duplicated, or difficult to access, AI simply inherits those limitations. In many ways, AI amplifies the quality of the foundation beneath it, good or bad.
The same applies to the growing ecosystem of specialised providers. Whether a bank wants to integrate AI-powered onboarding solutions, advanced compliance tools, payment services, or digital asset capabilities, success increasingly depends on the ability of the core architecture to connect, exchange data, and orchestrate processes efficiently.
Unfortunately, building these foundations is rarely as exciting as launching the latest AI initiative. Replacing or modernising a core banking platform is often seen as complex, costly, and slow to deliver visible short-term results. However, this perspective can be misleading: over time, the cost of inaction, or of layering additional, non-integrated applications onto legacy systems, can exceed the investment required for core transformation, both in terms of maintenance and operational inefficiency. It requires long-term commitment, strong governance, and significant investment.
Yet it is precisely this work that will determine which institutions are able to capitalise on future technologies and which will struggle to keep pace.
Technology is moving fast today, but the real surge is still ahead
For banks that believe core modernisation can wait while they focus on the “AI layer,” there is one reality worth remembering: technology is speeding up, and what comes next will be even more relentless.
The pace of innovation is accelerating. Artificial Intelligence is evolving rapidly, while new technologies continue to emerge. The longer institutions postpone modernisation, the larger the gap between what technology makes possible and what their infrastructure can support.
The winners in banking will not necessarily be those with the most AI pilots or the most impressive demonstrations. They will be the institutions that combine innovation with strong foundations. Real-time data, automation, interoperability, and flexible architectures are not alternatives to AI, they are the conditions that enable AI to scale and create lasting value.
The future of banking will not be built by AI alone. It will be built on the foundations that make AI work.
Fabian has over 15 years´ experience in the financial and technology industry. Fabian held several senior management roles at financial infrastructures and major financial technology suppliers in the regulatory space. Currently he serves as Regional Sales Manager at ERI in the Benelux, Nordic, Baltic and SEE territories.
ERI
ERI is the supplier of OLYMPIC Banking System, offering award-winning levels of innovation, real-time process automation, data management, and compliance, enabling open APIs and AI use cases for banking, custody, asset servicing and fund administration institutions.
