Algorithms, regulation and shareholder pressure are reshaping Europe’s financial system

On a grey weekday morning in Amsterdam’s financial district, the glass towers of the Zuidas reflect the muted light of the North Sea sky. Inside one of those towers, millions of financial transactions pass through servers every hour. Algorithms analyse patterns, flag irregularities and calculate risk scores in fractions of a second.

Somewhere within those data flows, an automated system may decide that a small entrepreneur poses too high a risk for credit. Another model may classify a customer’s transaction as suspicious and freeze an account. In most cases, no human being will have examined the decision beforehand.

Modern banking has become a system of data.

Across Europe, banks are rapidly transforming into digital infrastructures built on automated decision-making. Artificial intelligence monitors payments, determines creditworthiness and identifies potential fraud. Compliance systems analyse vast datasets in order to satisfy regulators. Meanwhile, investors demand ever higher levels of efficiency.

In this environment, the traditional banker — the professional exercising judgement based on experience and personal knowledge of customers — is gradually disappearing.

“Many banks still need to adapt their risk management to the specific challenges posed by artificial intelligence, including explainability and clear accountability for AI-driven decisions.”

Elizabeth McCaul
Member of the Supervisory Board
European Central Bank

Her warning reflects a growing concern in European financial circles. Technology is reshaping banking faster than governance structures can adapt.

What emerges from this transformation is something new: a bank without bankers.

The privacy paradox

Modern banks operate under an unprecedented level of scrutiny. Since the global financial crisis and a series of high-profile money-laundering scandals, regulators have expanded the role of financial institutions as gatekeepers of the financial system.

European legislation such as the
Anti-Money Laundering Directive obliges banks to monitor transactions, identify suspicious activity and report potential criminal behaviour.

In the Netherlands these obligations are implemented through the law:
‘Wet ter voorkoming van witwassen en financieren van terrorisme’.

The practical implications are enormous. Banks must analyse millions of payments daily. Sophisticated software systems scan transaction patterns, identify anomalies and assign risk scores to customers.

Without automation, such monitoring would be impossible.

Yet this regulatory framework has created a paradox.

Banks frequently cite privacy laws when customers ask why their accounts have been blocked or why transactions were flagged as suspicious. Algorithms that detect financial crime are often treated as proprietary intellectual property.

Customers may receive little more than a generic explanation: the system detected an unusual pattern.

Critics argue that banks have become quasi-public investigators without the transparency expected from public institutions.

“Banks increasingly behave like digital investigative agencies with the powers of government, but without the transparency we expect from the rule of law.”

Privacy lawyer specialising in financial regulation
Netherlands

The contradiction is difficult to resolve. Regulators demand aggressive monitoring to prevent financial crime. Customers expect privacy and fairness.

Automation has become the only way banks can navigate between those competing expectations.

The Bérard doctrine

Few European banking executives illustrate this transformation as clearly as Marguerite Bérard, chief executive of ABN AMRO.

Since taking office, Bérard has pursued an ambitious restructuring programme designed to modernise the bank and improve profitability. In late 2025 the bank announced a sweeping reorganisation that will eliminate roughly 5,200 jobs, approximately one fifth of the workforce.

The goal is straightforward: reduce costs and increase efficiency. At the centre of that strategy lies automation.

Artificial intelligence systems increasingly perform tasks once handled by employees — analysing customer behaviour, screening transactions for risk and managing operational processes.

“The goal of AI is not to eliminate jobs, but to allocate our resources intelligently and efficiently. We must bring our costs to a level that is normal for our peers.”

Marguerite Bérard
Chief Executive Officer
ABN AMRO
Interview with Trends/Knack, 2026

Financial markets welcomed the announcement. Investors often reward banks that demonstrate strict cost discipline and operational efficiency.

Yet the restructuring sparked strong criticism from labour organisations.

“This reorganisation hits like a bomb. It is a shockwave for employees who helped guide the bank through previous crises.”

Harma Pethke
Board member
Trade union De Unie

Union representatives warn that removing experienced staff from operational and compliance functions could undermine institutional resilience.

“First dismissing people and then hoping AI will solve everything is wishful thinking. In practice, automation often doesn’t work as smoothly as promised.”

Gorter
Board member
Trade union FNV

The dispute highlights a deeper question: is the modern bank still a social institution or has it become primarily a financial machine optimised for efficiency?

Speed versus safety

The digitalisation of banking has also transformed the speed of financial transactions.

Across Europe, instant payment systems allow money to move between accounts in seconds. While the technology provides convenience and efficiency, it has also created new opportunities for fraud.

Scammers increasingly exploit the urgency of instant transfers. Victims may be pressured to transfer money immediately — often under the impression that they are assisting bank employees or preventing security breaches.

Once the payment is completed, recovery becomes extremely difficult.

Consumer protection organisations argue that financial institutions have prioritised speed over safety.

“Banks have created a system in which a single click can destroy a lifetime of savings. That is not innovation — it is unsafe product design.”

Consumer protection advocate
European financial fraud support organisations

Banks generally reimburse fraud victims only when they determine that the customer did not act with “gross negligence”. Yet defining negligence can be controversial.

Psychologists studying fraud increasingly describe these incidents as forms of coercive persuasion, where victims are manipulated through urgency, authority and psychological pressure.

In such situations, the speed of modern payment systems amplifies vulnerability.

The algorithmic bank

Behind these developments lies the rapid expansion of artificial intelligence within financial institutions.

Algorithms now perform tasks once handled by trained analysts:

• credit risk assessments
• fraud detection
• transaction monitoring
• compliance screening
• customer risk classification

Human intervention often occurs only when systems flag anomalies.

This shift raises concerns about fairness and accountability. Machine learning models rely on historical data, which may contain embedded biases reflecting past economic inequalities.

Researchers warn that automated decision systems can unintentionally disadvantage certain groups, including migrants, small entrepreneurs or individuals with non-traditional financial histories.

“We are replacing bankers with a moral compass by algorithms optimised for efficiency. The ‘human dimension’ risks becoming little more than an error message in the system.”

Representative
Trade union De Unie

The challenge is not purely technological. It is fundamentally a governance issue: when algorithms make financial decisions, who is responsible for their consequences?

Europe’s regulatory response

European policymakers have begun addressing these concerns through new legislation governing artificial intelligence.

The EU Artificial Intelligence Act classifies AI systems used in credit scoring and financial risk assessment as high-risk applications.

Under the law, institutions must ensure transparency, human oversight and accountability in algorithmic decision-making.

Consumer organisations have pushed for strong enforcement of these rules.

“Consumers have the right to a clear explanation when AI makes decisions that affect their lives. We must prevent algorithms from becoming the ultimate persuasion machines that disadvantage vulnerable citizens.”

Spokesperson
European Consumer Organisation (BEUC)

Regulators also worry about technical risks such as model drift, where machine learning systems gradually change behaviour as they adapt to new data.

Without proper supervision, models designed to detect fraud could evolve in ways that exclude legitimate customers or produce unexpected outcomes.

In Brussels, algorithmic governance is becoming one of the central policy challenges of the digital financial system.

The efficiency trap

European banking supervisors recognise the benefits of technological innovation. Automation can increase efficiency, reduce operational errors and strengthen compliance capabilities.

Yet regulators also warn about the dangers of excessive reliance on automated systems.

“Efficiency is a virtue, but blind reliance on automation can become a systemic risk. A bank without human judgement is a bank without a moral anchor.”

Economist connected to banking supervision
European Central Bank

Operational resilience remains a major concern. When automated systems fail or produce incorrect outcomes, banks must still possess the expertise necessary to diagnose and resolve the problem.

If too much institutional knowledge disappears during restructuring programmes, the ability to respond to crises may be weakened.

In this sense, efficiency can become a trap.

The influence of financial markets

The transformation of banking cannot be understood without considering the role of financial markets.

Most major banks are publicly listed companies. Their management teams operate under constant pressure to deliver competitive returns to shareholders.

Cost reduction, digitalisation and automation often improve financial performance in the short term.

Markets tend to reward such strategies.

This dynamic reflects a broader shift in the global financial system. Over the past decades, capital markets have become increasingly dominant in shaping corporate behaviour.

Historically, institutions such as the
U.S. Securities and Exchange Commission were created to ensure that markets served the broader economy by facilitating long-term investment.

Today critics argue that financial markets increasingly prioritise liquidity and short-term returns.

Within this environment, banks face powerful incentives to reduce labour costs and maximise efficiency — even if those strategies alter the nature of the institution itself.

The bank without bankers

The transformation underway in European banking is therefore not merely technological. It is structural.

Banks are evolving from relationship-based institutions into highly automated financial infrastructures. Decisions once made by experienced professionals are increasingly delegated to algorithms operating within complex regulatory frameworks.

This shift may improve efficiency and compliance. It may even reduce certain types of human error.

Yet it also raises profound questions about the future of financial governance.

If algorithms determine access to credit, who explains those decisions to customers?

If automated systems freeze accounts or misclassify transactions, who bears responsibility?

And if banks become primarily digital platforms optimised for efficiency and shareholder returns, what happens to their traditional social role?

The answers to those questions remain uncertain. What is clear, however, is that the transformation has already begun.

The bank without bankers is no longer a metaphor. It is becoming the architecture of modern finance.

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Credit
Illustration: AI-generated artwork / Altair Media

Caption
As algorithms increasingly manage financial decisions inside modern banks, the role of the human banker is quietly disappearing.