Banking as a service, Business of Fintech, Member Exclusive

The infrastructure layer is still up for grabs as firms compete to establish its architecture

  • Fintechs are moving from partners to principals — applying for charters, building proprietary rails, and underwriting from their own data
  • The sponsor bank model isn't dead, but it's under pressure as firms like Affirm and SoFi bet that owning the infrastructure beats renting it
close

Email a Friend

The infrastructure layer is still up for grabs as firms compete to establish its architecture

Block extended $200 billion in credit across Cash App, Square Loans, and Afterpay by solving a problem the traditional credit system created. “If a seller doesn’t have a fingerprint in a traditional business bureau file, they just couldn’t get a loan,” Juan Hernandez, Block’s head of credit and underwriting, told Tearsheet. “They might fall back on a consumer report at a traditional lender, and even then weren’t getting the access they needed. Or they’d have to go through mountains of paperwork.”  Block’s answer was to underwrite from first-party data native to its own ecosystem – merchant processing volume for Square and financial behavior for Cash App – building models that are predictive in ways legacy credit infrastructure isn’t.

0 comments on “The infrastructure layer is still up for grabs as firms compete to establish its architecture”

Member Exclusive, Opinion

Have we mistaken ChatGPT-like LLMs and AI agents for the whole transformation?

  • The industry is increasingly asking: What needs to surround AI before we can trust it?
  • AI needs four things to work well in financial services: data, context, governance, and human oversight. The first two sharpen its intelligence; the latter two make it trustworthy.
Sara Khairi | August 07, 2026
Banking, Member Exclusive

How banks have stopped thinking in products and started thinking in customer journeys

  • As banks weave AI into their customer experiences, many are looking for ways to translate years of customer data into a more complete picture of each customer's needs and context.
  • The difference isn't the data itself, but how well a bank makes sense of a customer's context and goals and builds the right response around that.
Sara Khairi | August 06, 2026
Artificial Intelligence, Banking, Data, Member Exclusive

Before chasing AI, Bank of America wants banks to fix their data first

  • Bank of America has resisted the urge to use AI as a shortcut to efficiency, a temptation that has driven many companies into expensive and poorly conceived AI investments.
  • EricaAssist offers the clearest example of Bank of America's data-first AI strategy, with the bank recently enhancing the employee assistant by integrating Gen AI capabilities.
Javarya Kamran | August 06, 2026
AI Innovation, Member Exclusive, Payments, Podcasts

Mastercard’s Marc Pettican on the road to a $17.4 trillion virtual card market

  • Mastercard projects virtual card spend will hit $17.4 trillion by 2029, and Marc Pettican explains what's fueling that growth.
  • He details Mastercard's push into agentic payments, embedded finance, and a multi-rail strategy spanning cards, account-to-account, and stablecoins.
Zack Miller | August 05, 2026
AI Innovation, Banking, Member Exclusive

Why banks can’t policy their way out of shadow AI

  • Banks are cracking down on "shadow AI" with stricter policies, but experts say that's treating the wrong problem entirely.
  • Institutions buy AI tools before mapping the workflows they're meant to support and employees notice when the sanctioned option can't keep up.
Rabab Ahsan | August 04, 2026
More Articles