The New Era of Open Finance: Merging AI With Data Trust

For years, the conversation around open finance has focused primarily on infrastructure: APIs, standards, interoperability, response times. That phase was necessary. Without it, we wouldn’t be discussing more open, collaborative, and dynamic financial ecosystems today. However, we are now entering a second, far more decisive stage, where the key question is no longer whether open finance works, but how it becomes a positive and sustainable force in a world shaped by artificial intelligence, automation, and data-intensive systems.

In this new context, concepts such as power, consent, security, and data governance are gaining prominence. Not as obstacles, but as the foundations upon which a more mature, trustworthy, and impactful financial industry can be built.

Far from weakening the promise of open finance, this conversation strengthens it.

From Data Access to Responsible Value Creation

Open finance emerged with a powerful idea: returning control of financial data to individuals and enabling new services through shared access. That principle still holds true today, but it has evolved. Opening data is no longer enough; what truly matters now is how that data is used, how it is protected, and how it is translated into real value for users, businesses, and financial systems.

This is where artificial intelligence plays a critical role. AI models make it possible to transform vast amounts of financial data into better decision-making, more personalized products, early fraud detection, and significantly more sophisticated risk management. Combined with open finance, AI can reduce long-standing frictions in the financial system: slow processes, opaque decisions, and products disconnected from real user needs.

The challenge — and the opportunity — lies in doing this responsibly.

Security as an Enabler, Not a Barrier

One of the most persistent myths surrounding open finance is that opening data weakens security. In reality, the opposite is true. Well-designed open finance ecosystems raise security standards, forcing institutions to adopt modern practices for identity management, encryption, continuous monitoring, and access control.

Unlike traditional models — closed, fragmented, and opaque — open finance promotes architectures where security is embedded, auditable, and shared. The use of tokenization, granular consent, strong authentication, and full traceability not only protects users but also reduces systemic risk.

In an environment where AI automates critical decisions, security is no longer a siloed function; it becomes a competitive advantage. Organizations that embrace security by design are the ones best positioned to scale, collaborate, and build lasting trust in the market.

Informed Consent: From regulatory Checkbox to Strategic Asset

Another central element of this new phase is consent. For too long, consent has been treated as a regulatory formality: a checkbox, a dense block of text no one reads. Today, informed consent can — and should — become a key differentiator.

In open finance, consent does more than authorize data access; it defines relationships of trust. When individuals understand what data they share, how it is used, and what they receive in return, the relationship with financial providers fundamentally changes. It shifts from an extractive model to a collaborative one.

Here lies a major opportunity for the industry: designing clear, understandable, and dynamic consent experiences, supported by AI, that explain benefits, anticipate risks, and allow real-time adjustments. This approach not only strengthens data protection but also drives adoption and improves service quality.

Data Governance in the Age of AI

Discussing power in open finance is not necessarily a critique, but a recognition of reality: financial data is critical infrastructure. Whoever governs it plays a decisive role in determining which products exist, who has access to credit, and how risk is distributed.

The good news is that open finance enables a more balanced distribution of that power, provided strong governance frameworks are in place. These include clear rules on data usage, explainable AI models, continuous audits, and well-defined responsibilities among ecosystem participants.

Governance should not be understood as excessive control, but as the structure that makes long-term innovation possible. The most dynamic markets are not the least regulated ones, but those where rules create certainty, encourage investment, and protect users without stifling creativity.

Responsible AI as a Value Driver

In this environment, responsible AI moves beyond ethical aspiration and becomes an operational necessity. AI models trained on financial data must be robust, explainable, and continuously evaluated to prevent bias, errors, or unintended consequences.

Open finance offers a decisive advantage: higher-quality data. By integrating information from multiple sources, with explicit consent, AI models can become more accurate, fair, and adaptive. This leads to better credit decisions, more inclusive products, and more effective fraud prevention systems.

For the industry, the message is clear: investing in responsible AI not only mitigates regulatory and reputational risks, but also improves business outcomes.

Collaboration as the New Competitive Standard

Another key dimension is collaboration. Open finance challenges isolated competition models and promotes ecosystems where banks, fintechs, regulators, and technology providers co-create value. In this context, sharing security standards, governance best practices, and AI learnings benefits the entire system.

Organizations that understand this do not view openness as a threat, but as a way to scale impact. Security ceases to be an individual differentiator and becomes a shared responsibility, raising overall market confidence.

A Call for Ecosystem Maturity

Open finance has already proven that it is technically viable. The next step is proving that it is socially, economically, and ethically sustainable. This will not be achieved through alarmist narratives about control and surveillance, but through leadership, responsible design, and long-term vision.

The fintech industry now faces a historic opportunity: to use open finance and AI not only to optimize processes, but to redefine the relationship between people and financial systems — a relationship built on transparency, security, and shared value.

Power does not lie in data itself, but in how it is used. And when implemented thoughtfully, Open finance offers the ideal framework to ensure that this use is responsible, innovative, and genuinely positive.

More than a risk, this is the moment to consolidate open finance as the trusted infrastructure of the digital economy that is already taking shape.