Karsten Wenzlaff, Advisor
August 26th, 2025
September 18, 2026 | NCFA Market Activity | Artificial Intelligence And Data, Capital Markets Infrastructure And Funding, Banking And Financial Institutions

On September 16, 2026, a group of ten banks including Scotiabank agreed to provide a US$22 billion AI infrastructure loan to Crux AI, a new U.S. based cloud venture backed by Blackstone and Alphabet. Goldman Sachs, Sumitomo Mitsui Banking Corp., Barclays and BNP Paribas are also among the lenders, according to Reuters. The US$22 billion applies to the full lending group rather than Scotiabank individually. Scotiabank's own commitment and economics haven't been disclosed, and the bank didn't comment publicly on the transaction.
The financing will fund purchases of Google's Tensor Processing Units (TPUs) specialized processors used to train and run AI models. The debt is backed by the processors and Crux AI customer contracts, giving lenders support from both the hardware and revenue tied to demand for its computing capacity. Both can change quickly as newer processors enter the market and customers reassess how much compute they need.
The lenders are also working to bring additional banks into the loan through syndication, which would spread the exposure across a larger group. Several banks are reportedly providing a separate US$1 billion revolving credit facility, while the main debt could later be refinanced through the investment grade bond market. That would allow more of the financing to move from bank balance sheets to institutional investors.
Crux AI combines large amounts of equity, debt and specialized hardware in one infrastructure business. When Blackstone and Google announced the venture in May, Blackstone committed an initial US$5 billion in equity. Google is supplying TPUs, software and services, while Crux expects to bring its first 500 MW of capacity online in 2027. Customers will be able to buy data centre capacity, networking, operations and access to Google TPUs without building the facilities or buying large quantities of processors themselves.
The US$22 billion loan shows that banks are willing to finance AI processors against both the equipment and contracted demand for the computing capacity they provide. Expensive chips can therefore support large infrastructure loans when lenders are comfortable with the hardware, customer contracts and expected demand. In June, BGC launched compute infrastructure markets for trading, price discovery and risk management around compute and memory capacity. The Crux deal adds bank credit to a market that is already developing ways to trade and price computing capacity.
Traditional infrastructure lenders can estimate the useful life and resale value of assets such as buildings, power equipment or transportation fleets. AI processors are harder to value over long periods because a chip can remain technically useful while losing economic value quickly when a newer generation delivers more computing power at a lower operating cost. Customer contracts can reduce that risk because lenders aren't relying on hardware value alone, but those contracts still depend on customer quality, pricing, duration and continued demand for the underlying compute.
Bringing more banks into the facility spreads the exposure across a larger lending group. If some of the debt is later refinanced in the investment grade bond market, pension funds, insurers and other institutional investors could also gain exposure to AI infrastructure. That would widen the pool of capital available for new data centres and processors while spreading technology and credit risk across more investors.
Scotiabank's participation puts a Canadian bank inside one of the largest reported financings built around AI compute. It does show that global banks are prepared to finance AI hardware and contracted compute demand at a scale once associated with traditional infrastructure projects.
If AI processors and compute contracts can support tens of billions of dollars in bank debt, what happens to that financing model when a new generation of chips changes the value and economics of the collateral before the loans mature?
The National Crowdfunding & Fintech Association (NCFA Canada) is a financial innovation ecosystem that provides education, market intelligence, industry stewardship, networking and funding opportunities and services to thousands of community members and works closely with industry, government, partners and affiliates to create a vibrant and innovative fintech and funding industry in Canada. Decentralized and distributed, NCFA is engaged with global stakeholders and helps incubate projects and investment in fintech, alternative finance, crowdfunding, peer-to-peer finance, payments, digital assets and tokens, artificial intelligence, blockchain, cryptocurrency, regtech, and insurtech sectors. Join Canada's Fintech & Funding Community today FREE! Or become a contributing member and get perks. For more information, please visit: www.ncfacanada.org
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Sep 3, 2026

Some buy now, pay later activity reaches Canadian credit files. Most routine instalment plans currently do not.
That is the short answer, and the qualifications matter more than the answer does. Whether a buy now, pay later arrangement appears on a credit file in Canada depends on the provider, on which credit bureau is involved, on whether a payment was missed, and on the month in which the question is asked. Payments made on time and payments missed follow different routes. Two people financing identical purchases through different providers may find entirely different records.
What follows sets out what is reported, by whom, to which bureau, and with what effect on a score, then explains why the answer is this unsatisfying. The position described reflects Canadian reporting as of September 2026, and it is moving.
The Financial Consumer Agency of Canada describes buy now, pay later plans as arrangements that finance a purchase with credit. Its research characterises the category as covering a wide range of credit arrangements and as generally a type of consumer credit, comparable to instalment lending. That framing is the reason the credit-file question arises at all. The obligation is credit, not merely a payment method.
The agency identifies several distinct payment models sold under the same label: pre-authorized debits, pre-authorized credit card charges, an instalment option applied to an existing credit card, retail credit cards, and financing arranged through a financial institution. The entity behind each model differs. FCAC lists the financial service providers active in this market as including banks, credit unions and caisses populaires, financing companies, and money services businesses such as financial technology firms.
That mix determines oversight. FCAC directs consumers with complaints to different regulators depending on who provided the financing: federally regulated financial institutions must maintain their own complaint-handling processes, while other arrangements fall to provincial and territorial regulators. Oversight therefore follows the provider rather than the product category.
Credit reporting is furnisher-driven. A bureau can hold only what a provider chooses to send it, and furnishing is voluntary. In the United States, four senators on the Senate Banking Committee wrote to the major credit reporting companies in May 2026, reporting that several American providers had told them they were not sharing this data with credit bureaus.
The Canadian position is documented more thinly. The Canadian Lenders Association, an industry body, described the position in late 2025 as one in which inclusion of this data in credit files is voluntary, variably reported, and inconsistently used in underwriting. The same commentary reported that Equifax in Canada had begun incorporating this data, with TransUnion not far behind. Beginning is the accurate word, and it should not be read as complete.
Missed payments follow a different route from payments made on time. An account referred to a collection agency can reach a credit file through that channel even where the on-time payment record never appeared. FCAC states that once a creditor sends a debt to a collection agency, the credit score will go down. An arrangement invisible while it was being paid can become visible once it is not.
Because the position varies by provider and bureau, the only reliable confirmation is an individual file. You can check your credit score and see what each bureau holds in your name.
Three independent variables produce the inconsistency, and naming them is more durable than listing providers whose practices change.
The first is whether the provider furnishes at all. This is voluntary, and it varies both between providers and by product.
The second is what the receiving bureau does with it. In a 2022 post it has since archived, the United States Consumer Financial Protection Bureau noted diverging approaches: one credit reporting company implemented a business industry code while letting furnishers supply data in their preferred format, and others planned to hold it in specialty files kept apart from the core files behind traditional reports. That account is American and several years old. Canadian bureau practice is not documented publicly in comparable detail. That gap is part of the answer.
The third is whether the scoring model uses the data. TransUnion Canada stated in a 2024 paper that it was analysing alternative data, including buy now, pay later, without initially affecting its scores. Data can sit on a file while remaining absent from the decision. Presence on a record and effect on a score are separate things, a distinction that governs which financial activity does and does not build a credit file.
The foundational federal research on buy now, pay later in Canada is a pilot study, and the agency says so itself.
FCAC surveyed 1,034 Canadians aged 18 and over. The sub-sample of actual users was 66 people, of whom 20 took part in follow-up interviews. The agency states that most findings are drawn from that sub-sample, that these early findings should not be generalised to Canadians at large, and that unweighted percentages are used throughout. Those are appropriate disclosures on a pilot. The difficulty lies with how often it is cited as settled evidence.
Two details matter. The survey reference period ran from September 2019 to March 2021; the report was published in November 2021. And 44 percent of the users surveyed found the potential effect on their credit score difficult to understand: the confusion this article addresses was documented at the outset. Interview participants described using these plans to bridge a timing gap, wanting to purchase immediately while knowing funds would arrive later.
FCAC identified risks of over-borrowing and over-indebtedness but stopped short of recommending regulation, committing instead to monitor the market, conduct follow-up research, coordinate with provincial and territorial authorities, and provide consumer education. As of September 2026, the agency's published research index lists no further study.
Where these obligations are not furnished, or are furnished into files that scoring models do not read, they are absent from any assessment built on bureau data. A household carrying several concurrent instalment plans can present on a credit file as a household carrying none.
The omission runs in both directions. A consumer reviewing their own file may conclude they carry less than they do. And every party that assesses affordability from bureau data, from banks and credit unions to licensed Canadian lenders, works from a record that omits a category of live obligation. TransUnion Canada listed this as a market concern in 2024, noting that limited reporting constrains the ability of other lenders to conduct credit checks and assess affordability.
This is neither new nor specific to one product. Rent, utilities and telecommunications payments are largely unreported in Canada as well. Buy now, pay later is a recent addition to a longer list of obligations that credit files do not capture. The observation concerns what the record contains, not what any party ought to do about it.
On 23 June 2025, FICO announced two scoring models, FICO Score 10 BNPL and FICO Score 10 T BNPL, built to incorporate buy now, pay later data. The announcement was framed explicitly around the United States credit ecosystem, and FICO stated the models would initially be offered alongside its existing scores rather than replacing them, leaving adoption to individual lenders. No equivalent Canadian scoring model has been announced.
The Canadian Lenders Association, an industry body representing lenders, has argued that the sector needs a consistent framework so that this data supports credit inclusion rather than working against it. The position is reasonable and worth reporting. It is not a neutral one.
The effect of fuller reporting would run in two directions. For a consumer with a thin file, a furnished record of payments made on time would constitute history where none existed. For a consumer carrying several concurrent plans, the same reporting would make visible an obligation load that had gone unobserved. Which effect applies is a matter of individual circumstance.
The question a reader arrives with is whether buy now, pay later touches their credit file. The accurate answer is that it depends on the provider, on the bureau, on whether a payment was missed, and on the month in which the question is asked.
That is unsatisfying, and it is not a hedge. Furnishing is voluntary and partial. Bureau treatment differs and is not documented publicly in Canada at the level of detail the question deserves. Scoring treatment is a separate matter again. The Canadian federal evidence base remains a pilot study of 66 users describing behaviour from a period that ended in March 2021.
Each of those conditions can change without announcement. This article describes the position as of September 2026. A reader returning to the question in a year should expect a different answer.
The National Crowdfunding & Fintech Association (NCFA Canada) is a financial innovation ecosystem that provides education, market intelligence, industry stewardship, networking and funding opportunities and services to thousands of community members and works closely with industry, government, partners and affiliates to create a vibrant and innovative fintech and funding industry in Canada. Decentralized and distributed, NCFA is engaged with global stakeholders and helps incubate projects and investment in fintech, alternative finance, crowdfunding, peer-to-peer finance, payments, digital assets and tokens, artificial intelligence, blockchain, cryptocurrency, regtech, and insurtech sectors. Join Canada's Fintech & Funding Community today FREE! Or become a contributing member and get perks. For more information, please visit: www.ncfacanada.org
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September 1, 2026 | NCFA Market Activity | Lending Consumer Credit And BNPL, SME Finance And Business Banking, Digital Banking And BaaS

On September 1, 2026, London, Ontario based VersaBank announced the first U.S. Real-Time SRP implementation with ECN Capital. The system can fund eligible point of sale loans within hours. VersaBank says conventional funding can leave lenders waiting five to 30 days or longer while enough receivables accumulate.
ECN isn't a new customer. It implemented VersaBank's original U.S. Structured Receivable Program in 2025, and another ECN subsidiary joined the program in July with at least US$300 million in expected annual fundings. ECN Capital's Chris Johnson said the original SRP helped the company “grow our business faster” while improving profitability. The September implementation adds the newer real time capability, although VersaBank hasn't disclosed how much volume is flowing through it yet.
The scale is already substantial. VersaBank's total Structured Receivable Program portfolio exceeded C$4.4 billion as of January 31, 2026 after growing at a 33% compound annual rate over five years. U.S. SRP credit assets reached US$604.9 million by the end of the bank's second fiscal quarter of 2026, and VersaBank was targeting at least US$1 billion in additional U.S. SRP fundings during fiscal 2026.
What changes with ECN is speed. A funding model VersaBank has used in Canada for more than 15 years, and recently accelerated with Financeit, is now running in the U.S. with an established finance company.
Point of sale lenders need capital to keep making loans. A lender financing home renovations, HVAC systems, equipment or other large purchases may hold new receivables on its own balance sheet or borrow against them through a warehouse facility until the loans can be sold, refinanced or packaged into a securitization. That interval ties up capital and carries a financing cost.
VersaBank's Structured Receivable Program purchases qualifying receivables from finance companies. Real-Time SRP brings that funding closer to the original loan by evaluating and financing eligible individual receivables within hours rather than waiting for a larger pool to accumulate.
The model was first tested through an April Financeit pilot. The pilot finished ahead of schedule, and Financeit became the first partner to use Real-Time SRP at large scale when VersaBank formally launched the program in June. Financeit was approaching C$2 billion in annual loan originations, giving VersaBank a sizeable Canadian lending operation on which to prove the process before taking it into the U.S.
VersaBank describes the system as AI enabled, but its public disclosure supports a more targeted description. The bank says its internal AI technology helps evaluate individual loans underlying SRP receivables. It has not disclosed enough detail to determine exactly how eligibility, credit scoring, fraud checks or other decisions are divided between automation and human oversight.
Financeit completed a C$201 million ABS in June while also using VersaBank's real time funding. Those sources of capital can serve different stages of the same lending business. VersaBank can provide funding closer to origination, while securitization can provide longer term institutional capital after loans have accumulated into a larger pool.
Forward flow provides another option. Propel Holdings secured a US$60 million forward flow from Mesirow managed funds for Freshline loans, allowing institutional capital to purchase eligible production as it is originated. Warehouse lenders, forward flow investors, banks, private credit funds and ABS buyers are all competing to fund the period between a lender making a loan and receiving longer term capital.
VersaBank is trying to compress that period. The economic benefit depends on whether the cost of its funding, integration requirements and credit rules are attractive enough to save lenders money or free enough capital to justify adding another funding relationship.
VersaBank has operated versions of its Structured Receivable Program in Canada for more than 15 years. It entered the U.S. point of sale finance market after acquiring a U.S. bank in 2024, giving VersaBank an OCC chartered national banking platform in Minnesota.
VersaBank is doing more than licensing software to ECN. It's using deposits and its own balance sheet to buy qualifying U.S. receivables through a funding model developed in Canada. That lets the bank grow through lending partners without having to build a large consumer lending operation itself.
ECN is now using the faster version in the U.S. VersaBank already had hundreds of millions of dollars in U.S. SRP assets, and the wider ECN relationship includes at least US$300 million in expected annual fundings. The real time version gets eligible receivables onto VersaBank's balance sheet sooner.
Faster funding can help lenders keep more cash available for new loans, but only if VersaBank's price and credit rules beat the alternatives. Lenders already have warehouse lines, forward flow buyers, banks and securitization markets competing for their business, so speed alone won't win the account.
For VersaBank, more U.S. receivables mean more loans and leases earning interest on the bank's balance sheet without VersaBank having to find the borrowers itself. The economics work only if what the bank earns on those assets stays comfortably above its funding costs and credit losses.
Growth can also concentrate risk. A few large partners, weaker loan quality or rising deposit costs could turn faster asset growth into lower returns. ECN is the first U.S. user of the real time version, so the more telling evidence will be whether other lenders adopt it and whether those portfolios perform well as volumes rise.
Private credit adds another source of competition for finance companies seeking capital. Canadian institutions already have roughly C$500 billion of private credit exposure, much of it outside Canada, while U.S. private credit funds have become major lenders to businesses and specialty finance companies. VersaBank is entering that competition with a regulated bank balance sheet, a deposit base and a funding system designed to work much closer to loan origination.
Can VersaBank turn a Canadian funding model into a scalable U.S. lending business?
The National Crowdfunding & Fintech Association (NCFA Canada) is a financial innovation ecosystem that provides education, market intelligence, industry stewardship, networking and funding opportunities and services to thousands of community members and works closely with industry, government, partners and affiliates to create a vibrant and innovative fintech and funding industry in Canada. Decentralized and distributed, NCFA is engaged with global stakeholders and helps incubate projects and investment in fintech, alternative finance, crowdfunding, peer-to-peer finance, payments, digital assets and tokens, artificial intelligence, blockchain, cryptocurrency, regtech, and insurtech sectors. Join Canada's Fintech & Funding Community today FREE! Or become a contributing member and get perks. For more information, please visit: www.ncfacanada.org
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