Models now underwrite the loan and chat windows increasingly recommend the lender, while regulators tighten every word in between. In lending’s next chapter, the advantage moves from price to explanation.
This article was originally published in FinanceX Magazine Issue #25 (September 2026) as part of their Lending, Credit & PropTech edition. We’re grateful for the opportunity to share our perspective with the European fintech community. As part of our partnership with FinanceX Magazine, we’re pleased to share our article from Issue #25 exploring how credit gets underwritten and shopped for in 2026.
New Front Doors for an Old Product
How does a loan begin in 2026? Rarely with a branch visit, and decreasingly with a search. Credit has slipped into the moments around it. At the checkout, buy now pay later has grown from a £0.06bn UK market in 2017 to over £13bn in 2024 in the UK alone, used by 10.9 million adults, roughly one in five, in the year to May 2024 (FCA, 2026). Behind the application form, underwriting is quietly passing to models that read bank transactions and cash flow rather than payslips alone. And since spring, the shopping itself has begun moving into chat windows. In May, US lender Newrez introduced a custom mortgage assistant inside ChatGPT. Trade press highlighted it as the first top-ten originator to launch a consumer-facing GPT, answering borrowers’ early-stage scenarios against its own lending criteria (National Mortgage Professional, 2026).
The common thread is that credit is increasingly arranged in places where no human representative is in the room. The initial discovery belongs to an algorithm, and early triage relies on a model, even if final underwriting remains bound by formal human and regulatory oversight. What remains of the lender, in that crucial first moment, is whatever it has written down.
The Same Window, Now With a Regulator in It
At the very moment lenders’ words became their front line, regulators moved to police them. In the UK, the FCA’s buy now pay later regime took effect on 15 July, bringing deferred payment credit under the Consumer Duty: clear upfront disclosure of payment schedules and the consequences of missed payments, proportionate affordability checks, and access to the Financial Ombudsman (FCA, 2026).
Across the Channel, the second Consumer Credit Directive (CCD2) applies from 20 November 2026 and reaches further into marketing: adverts mentioning a cost trigger standardized warnings (with exact phrasing specified by national transpositions) alongside mandatory APR disclosures, while sub-€200 loans and BNPL fall fully under the regime. Crucially, CCD2 also establishes a consumer right to human review for adverse automated credit decisions (Mason Hayes & Curran, 2026).
Read together, the two regimes say something bigger than compliance. The language around credit is becoming a regulated surface precisely as it becomes the growth surface. Lenders can no longer win attention by promising ease; the rules increasingly require them to explain cost, risk and consequence in plain terms. The old marketing instinct, say less about the hard parts, now runs against both the rulebook and the machine reading on the borrower’s behalf. The firms best placed for both regimes are the ones with nothing to blur.
Making the Explanation the Product
Let’s look at who is moving first: Newrez did not build another rate calculator. Instead, it put its lending guidelines to work where borrowers already ask questions, letting an assistant explain in plain language, without a form or a sales call, what those guidelines actually say. The calculus is relatively straightforward: a borrower who understands you sooner chooses you sooner. Neither firm is European, but the pattern could travel across the Atlantic quickly.
Property is running the same play with its paperwork, too. As the UK works through home-buying reform, movers are backing digital property packs, verified information about a property, its title and its finances, assembled upfront rather than dripped out over months (Mortgage Soup, 2026). The PropTech firms and lenders behind these packs are moving the explanation to the start of the transaction, where it can win trust rather than merely survive due diligence.
None of this is a campaign in the traditional sense. There are no slogans in an underwriting guideline. What is being published is substance: criteria, costs, data, process. Which is exactly why it works in a market where an assistant summarises you to your customer, a regulator reads your adverts, and a borrower has learned to distrust anything glossy. In sum, explanation has become distribution.
The Lesson for Every B2B Brand
Any business selling something considered, credit, software, advice, insurance, now writes for three readers at once: the customer deciding whether to trust you, the regulator or procurement team checking what you claim, and the AI assistant deciding whether to mention you at all. The content that satisfies all three is the same content: clear, specific, verifiable, and published where the questions are actually asked.
That is a different discipline from filling a blog. It means treating your criteria, pricing logic and process as publishable assets, and then writing them plainly enough for a machine to repeat with confidence. The lenders doing this are not louder than their competitors. They are easier to check. In a market where the best-explained loan wins, being easy to check is the sharpest marketing there is.
Ready to be the answer?
When a prospect asks an AI assistant who to trust with their money, their mortgage or their marketing, the reply is drawn from what you have published. Contentifai helps B2B firms make their expertise clear, credible and readable by humans and machines alike, starting with an AI Readiness Check of your website. See how your firm reads at contentifai.agency.
Jeremy Rodgers is Creative Director at Contentifai, a UK content marketing agency for B2B firms. Contentifai pairs human writers with AI-supported workflows, helping brands stay visible as search gives way to AI answers.
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