AI Redefines Finance: An Unprecedented Revolution in 40 Years

An Unprecedented Transformation in Four Decades

After spending more than forty years in the financial services sector, I have learned to be wary of announcements of "revolutions" that promise to disrupt the industry. We have often been told that branchless banking would put an end to physical branches, that blockchain would disintermediate the entire system, or that tech giants would supplant traditional banks.

However, when examining the landmark innovations of our generation in the financial field, some have truly redefined the landscape. For example, at Capital One, we pioneered the strategic use of data, thereby transforming consumer banking from within. This approach has allowed us to reimagine banking by using data as a growth engine.

The Internet then revolutionized banking distribution by dematerializing branches, followed by digitization that made banking services accessible from our pockets via smartphones. Cloud computing drastically reduced IT costs, enabling a few engineers to accomplish what previously required heavy infrastructure. Today, artificial intelligence promises to be an even more powerful wave than all those that preceded it.

AI, the New Operator of Financial Services

Artificial intelligence is on the verge of becoming the operating system of global finance, rewriting the value chain from end to end. This transformation process is already underway, manifesting layer by layer. Significant changes can already be observed in several areas.

In wealth management, tools like Zocks 1 are transforming complex client interactions into actionable data. These tools allow for structuring and leveraging intelligence derived from conversations with clients, making wealth management more efficient.

Investment banking is also undergoing a transformation thanks to companies like Rogo and Model ML, which optimize the analytical work once performed by armies of young bankers. These companies compress analytical work, making the process faster and more accurate.

Companies like April are reinventing tax filing, while neobanks like Chime and Albert are increasingly automating the banking relationship with consumers. These neobanks use AI to automate various aspects of customer relations, making banking services more accessible and personalized.

Call centers are being redefined by companies like Decagon and Lorikeet, capable of handling complex queries that early chatbots could not manage. These companies use AI to resolve complex and regulated queries, thereby improving call center efficiency.

The very structure of the financial system is being overhauled. Augustus is developing a clearing bank suited for the AI era, while Ramp and Payhawk integrate cards, expenses, procurement, and accounting into a semi-autonomous system. These companies are creating integrated solutions that simplify financial operations.

Companies like Footprint and Sardine are reinventing risk and compliance processes for a world where transactions are no longer necessarily human. They are reconstructing identity verification, anti-money laundering (AML), and know your customer (KYC) processes to adapt to an increasingly automated environment.

Drastic Reduction in Marginal Costs

The initial impact of AI is both brutal and simple: it reduces marginal costs for operations such as loan origination, compliance validation, or customer service at any hour, bringing them close to zero. This reduction in costs transforms how financial services are delivered.

For decades, these functions have been viewed as fixed costs. AI, by applying marginal economic logic, allows for pricing and serving customers individually, thereby transforming business models and organizational charts. This means that each customer can be served uniquely, optimizing resources.

AI also paves the way for previously unimaginable products. At Capital One, we have always sought to offer the right product to the right customer at the right time, but this often relied on statistical inference. Today, AI enables the creation of products that are truly tailored to individual needs, such as scalable credit or personalized insurance. These products are designed to adapt to the specific needs of each customer, offering unprecedented personalization.

The frontier of what is achievable has advanced in three years more than in the previous twenty years, and founders who seize this wave are unlocking this potential. AI is a kind of alchemy, turning lead into gold. We are witnessing this in our own portfolio, expanding the frontier of what is possible for many companies.

Fintechs Leading the Charge

Historically, fintechs have been able to leverage technological waves due to their agility and ability to make quick decisions. They thus have a head start in adopting AI. Their capacity to rapidly adapt to new technologies allows them to remain competitive in a constantly evolving environment.

However, traditional financial institutions are not lagging behind. They possess invaluable datasets, accumulated over decades, that are essential in the AI era. These data include transactions, balances, defaults, and recoveries, constituting a valuable asset that fintechs cannot purchase.

Yet, these institutions have often confused customer loyalty with inertia, missing opportunities that fintechs have seized. Access to earned wages, installment payments, C2C remittances, digital brokerage: entire categories that incumbents have never bothered to explore, and where fintechs are now firmly in control.

Fintechs like Robinhood, Revolut, Stripe, and Nubank have emerged by leveraging customer data that large banks have failed to utilize to their advantage. These institutions are often trapped in legacy systems, unable to quickly adapt to new technologies. Owning customer data and being able and willing to act on it are different things, and most of them are trapped in legacy central systems, within organizations built to protect and defend the existing model, not to break it.

Reinventing Every Link in the Chain

For established players, the challenge is to find the will to reinvent themselves. Those who succeed in rebuilding their technology and talent around AI will be able to compete with fintechs to shape the future of finance. Technology rarely rewards asset ownership; it favors those who are willing to rebuild around those assets.

AI will transform every link in the value chain, altering how consumers interact with money and how businesses operate. The financial system that will emerge from this transformation will be unrecognizable compared to what we know today. I have observed four waves reshape this industry, and no word I have used for them seems strong enough for this one.

The crucial question is who will have the courage to deconstruct what works today to build what will triumph tomorrow. Those who view this as an existential mandate, rebuilding their technology and talent around AI, will stand alongside leading fintechs to reshape the future of finance over the next decade. Others will only understand what has changed when they see their market share erode and the sector consolidate.