8 Jun 2026

The race to deploy AI in financial services has mostly been a race to adopt the same tools. GPT wrappers, third-party fraud models, bought-in credit scoring engines. Everyone's running on similar infrastructure, and the differentiation has been thin.

What this piece gets right is that the real advantage was accumulating quietly in the background the whole time. Transaction history. Behavioural patterns. The messy, proprietary signal buried in years of customer activity. Revolut and Stripe aren't winning because they picked a better foundation model. They're winning because they have training data that nobody else can buy.

For UK consumer credit brokers and lenders, this is a genuinely uncomfortable read. We have data too, but most of us have fragmented it badly. Origination systems that don't talk to servicing platforms. Affordability checks that live in spreadsheets. Fraud signals that never fed back into underwriting. We built point solutions for point problems, and now we're sitting on a pile of disconnected signals rather than a coherent dataset.

The shift from hundreds of specialist models to a single foundation model trained on unified financial behaviour is the part worth paying attention to. The firms doing this are collapsing the wall between fraud, credit risk, and product performance into one learning system. That's not just an efficiency gain. It changes what questions you can ask.

The FCA's increasing focus on affordability and persistent debt makes this more urgent, not less. A model that sees the full behavioural picture, across channels and over time, is a better tool for identifying genuine financial stress than a point-in-time credit score ever was.

The question for anyone running a lending or broking operation in the UK: do you actually know what data you're sitting on, and is it in a shape where it could do that kind of work?

Global fintech revenue at $504 billion and growing four times faster than banks is a headline that should reframe how UK lenders think about competitive threat. For years, the story was about scrappy challengers burning VC money to acquire customers at any cost. That story is over.

The shift to profitable, sustainable growth matters more than the revenue number itself. When fintechs were loss-making, traditional lenders could console themselves that the model wouldn't last. Now those fintechs have unit economics, retained customers, and increasingly sophisticated product stacks. The competitive pressure becomes structural rather than cyclical.

The growth drivers identified in the study deserve specific attention for anyone in UK consumer credit:

• B2B financial services means fintechs are now selling infrastructure to the same banks that compete with them, which accelerates capability transfer across the whole sector
• AI-powered products are moving from internal efficiency tools to customer-facing differentiation, which changes acquisition and retention dynamics
• Digital investing growth is pulling engaged, financially active customers into ecosystems that will eventually cross-sell credit

The B2B angle is the one I think gets underestimated. When a mid-sized UK lender buys decisioning or affordability tooling from a fintech vendor, that vendor is learning from every implementation. The capability gap between fintechs and traditional players narrows in public, but the knowledge flowing back to the vendor compounds quietly.

For technology leaders in consumer finance, the question worth sitting with is whether your modernisation roadmap is genuinely closing the gap or just keeping pace with where fintechs were two years ago.

Airwallex acquiring Leapfin is not really a payments story. It's a story about where the real stickiness in financial infrastructure lives.

Payments is a commodity fight. Margins compress, switching costs are low, and every serious fintech ends up in a race to offer the same rails at slightly different prices. The firms that escape that gravity are the ones that get embedded in the financial close. Revenue recognition, subledger automation, GAAP-ready reporting — that's where finance teams live every month-end. That's the workflow they won't rip out.

For UK consumer finance leaders, this matters for two reasons.

• Most mid-sized brokers and lenders still have a painful gap between their transaction systems and their finance team's actual reporting tools. The data exists, but the journey from raw transaction to auditable ledger entry involves too many people and too many spreadsheets.
• The firms building accounting AI agents into their core platform are starting to occupy territory that used to belong to ERP vendors. If Airwallex can make the CFO dependent on its infrastructure, the payments relationship becomes almost incidental.

The UK regulatory environment adds a specific wrinkle here. Consumer Duty requires firms to demonstrate fair value and document outcomes at a granular level. That's a data and reporting challenge as much as a conduct one. Tools that automate reconciliation and make transaction data auditable faster are directly useful to any firm trying to produce the evidence trail regulators expect.

The broader pattern is worth watching. Stripe has been moving in this direction. So has Adyen. The serious infrastructure players have all worked out that owning the payment moment is not enough. They need to own the record of that moment, and everything downstream of it.

The question for any UK fintech leader evaluating their stack is simple: at what point does your payments provider become your accounting system, and have you thought about whether you're comfortable with that?

Fasanara's Ferrari lending platform is getting written up as a curiosity, an eye-catching niche play for the ultra-wealthy. That framing misses what's actually interesting here.

The model treats the collateral as an active asset, not a passive backstop. Mattioli Automotive Group isn't just holding the cars as security; they're managing, restoring, and presumably appreciating them. The loan and the underlying asset are being managed in parallel. That's a fundamentally different proposition to how UK consumer credit thinks about secured lending, where collateral is mostly something you hope you never have to touch.

For those of us building loan origination platforms in more ordinary parts of the market, the question this raises is about collateral intelligence. We have decades of house price indices, vehicle valuation tools like CAP HPI, and jewellery appraisals. What we rarely have is dynamic, real-time collateral management built into the credit infrastructure from day one. The asset sits in a file until something goes wrong.

Alternative asset-backed finance is growing precisely because institutional investors are hungry for yield that doesn't correlate with public markets. Fasanara is packaging that demand elegantly. The Ferrari angle is the marketing; the actual innovation is the operational model around the asset.

There's a harder question underneath this for UK consumer finance leaders. The FCA is increasingly focused on whether secured lending arrangements genuinely protect borrowers, not just lenders. A model where the lender actively manages the collateral creates interesting conflicts: whose interests does active asset management serve when the borrower defaults? That tension doesn't disappear just because the collateral is a £300,000 GTO.

The technology angle is less dramatic but worth tracking. Originating and servicing loans against illiquid, specialist assets requires valuation infrastructure, custody arrangements, and condition monitoring that most lending platforms weren't built to handle. Anyone thinking about expanding into asset-backed niches, classic cars, fine art, watches, needs to solve the data problem before the credit problem.