Karsten Wenzlaff, Advisor
August 26th, 2025
September 21, 2026 | NCFA Market Activity | Artificial Intelligence And Data, Payments Infrastructure And Money Movement, Banking And Credit Infrastructure, Risk Compliance And Regtech

On September 21, 2026, Mastercard Canada, Toronto based Flybits and Rogers Bank announced a Mastercard Agent Pay purchase completed by an AI shopping assistant using a Rogers Red Mastercard. Mastercard describes it as Canada's first successful deployment connecting an AI commerce platform, card issuer and payment network.
The customer gave the Flybits powered assistant instructions and a spending limit. The agent found an eligible product within those conditions and completed the purchase using Mastercard Agent Pay. Flybits supplied the AI shopping experience and explainability around the selection, Rogers Bank supplied the card relationship, and Mastercard handled the payment through its network.
The AI went beyond recommending a product. It entered the payment process after the customer had already set the buying instructions and budget. Mastercard says the purchase was completed, although they didn't mention the merchant, transaction amount, exact payment credential or settlement details.
It's a Rogers Bank service that is still being tested and is not yet available to customers. Having said that, the companies describe a successful deployment and say further phases are planned. One completed transaction shows the workflow can function with a real issuer and payment network, but not yet if it can handle thousands of customers and merchants at scale including handling disputes.
Card networks already know how to authorize card payments. Agentic commerce adds a new control problem because the issuer and merchant need to know that the software had permission to make the purchase and stayed within the customer's instructions. Mastercard says the consumer's instructions were validated in this transaction and the agent operated within a predefined spending limit.
The agent wasn't given an open right to spend against the card. Mastercard hasn't disclosed whether the customer approved the exact product again before checkout, how long the authority remained active, whether permission could be revoked after the instruction was issued or how much detail the customer could inspect before payment. Those details become important once consumers allow software to make more of the buying decision for them.
Mastercard Agent Pay is built to keep the consumer, software agent and payment credential identifiable inside the transaction. That can give issuers and merchants a record of which customer granted authority, which agent acted and whether the payment stayed within the customer's conditions. Once software starts buying instead of only recommending, those records become part of the payment control.
Flybits handled the AI shopping experience. Its software interpreted the customer's request, selected a product and provided an explanation for that choice. If the purchase is disputed later, the bank may need to see what the customer asked for, why the agent chose that item and whether it stayed within the approved budget.
Mastercard also offers Agent Connect to link AI agents with merchants and payment providers. The Rogers Bank and Flybits transaction goes a step further by showing an AI agent using a Canadian issued card to complete a purchase.
Flybits also plans to use Mastercard Insight Tokens in later phases. These are designed to let an AI agent use approved customer information without giving it unrestricted access to raw data. They were not part of the September 21 transaction.
Existing card protections still apply to the payment underneath the AI experience. Rogers Bank and Mastercard continue to operate within fraud, dispute and network rules.
What happens when a customer genuinely authorizes software to spend but later argues that the agent misunderstood the request, chose the wrong product or bought something outside what the customer intended.
A customer might tell an agent to buy an eligible product for less than C$100 and receive a C$95 item that fits the budget but misses an important preference. The card credential may have been used legitimately and the amount may stay inside the approved ceiling, yet the customer can still dispute what the software decided to buy. That is very different from resolving a stolen card number or account takeover.
Today's announcement doesn't establish new liability rules for that situation. It also doesn't explain how responsibility would be divided among the consumer, Flybits, Rogers Bank, Mastercard and the merchant if valid payment credentials were used but the agent acted outside the customer's intended instructions. Earlier NCFA analysis of AI payment consent reached the same operating issue from the regulatory side: delegated software needs clear limits around what the user has actually authorized.
That makes transaction records commercially important. An issuer may need evidence showing who authenticated the request, which agent acted, what instructions were active, what spending ceiling applied and what the software ultimately purchased. Merchants need similar visibility to separate legitimate shopping agents from fraud bots and automated abuse. Mastercard Canada's Craig Reiff summarized the commercial constraint directly when he said “trust will determine how quickly these experiences scale.”
Mastercard isn't working on this problem alone. Visa is developing agent payment controls, while Stripe and Google are building infrastructure that lets software agents transact within defined permissions. Canada already has another live reference point. In July, Nuvei completed a Visa agentic commerce proof of concept using a tokenized Visa credential and live payment rails, with planned controls including Know Your Agent checks and agent risk scoring. That transaction involved a merchant AI agent, so it isn't the same consumer shopping use case as today's Rogers Bank purchase.
For Canadian banks and fintechs, the Rogers transaction brings agent authority into an operating card flow. A regulated issuer has now participated in a purchase where software interpreted customer instructions, selected a product and proceeded to payment within a spending ceiling. That gives banks something concrete to assess across fraud controls, audit records, customer consent and dispute handling.
Mastercard's August survey found that 41% of 2,000 Canadian adults were open to using AI assistants for online shopping. Among respondents who already felt positively about AI shopping assistants, 53% were open to AI assisted purchasing within preset preferences and budgets. That second figure applies to the favourable subgroup rather than all Canadians, and the research was commissioned by Mastercard.
The Rogers Bank transaction shows that an AI agent can select a product and complete a card purchase inside a customer defined spending limit. However, when an agent buys something the customer didn't expect, can the payment record prove what the customer actually authorized and who is responsible for the decision?
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 21, 2026

Investing is more exciting than ever due to changes in the investment industry. As the markets change, new opportunities arise for different types of investors. From tech startups that inspire future business leaders to hedge funds that use unique strategies, the investment landscape is full of options. Today, more people can invest, changing how individuals and institutions build wealth.
In this evolving world, trends are changing how we invest and what methods work best. While traditional investments are still important, modern approaches are gaining popularity among a wide range of investors. Let's look at how you can take advantage of these trends to strengthen your portfolio and secure your financial future.
Pre IPO investing offers a great chance for investors to enter high-potential companies early. By joining funding rounds before a company goes public, investors can earn significant returns. This lets individuals buy shares at a lower price before an initial public offering (IPO) and benefit from expected growth afterward.
This type of investing is appealing because it empowers investors. They can actively choose where to put their money, often based on their own research. It lets individuals support innovative companies while building wealth. With the rise of crowdfunding platforms and investment groups, pre-IPO investing is more accessible than ever.
Investors in this space often join a community that values entrepreneurship and growth. Being part of a startup's journey to going public can be very rewarding. Successful pre-IPO investments can lead to great returns, making this option exciting for those looking to diversify their portfolios.
Hedge funds are another interesting part of the investment industry that has gained attention. These investment funds use various strategies to achieve high returns, appealing to a range of investors, including institutions and wealthy individuals. Hedge funds stand out due to their flexibility. Managers often use different methods, such as short selling, which helps them adapt to market changes.
Hedge fund investing gives access to unique strategies that may not be available through traditional investments. Many hedge funds aim for not only capital growth but also stable profits, regardless of market conditions. This adds excitement and resilience to the investment process, especially when the markets are unstable.
Furthermore, the trend toward more transparency in hedge funds has made them more attractive. Many funds now share information about their strategies and performance, helping investors make informed choices. This openness builds trust, which is important for creating lasting relationships between investors and fund managers.
Technology plays a major role in how people invest. Financial technology, or fintech, has changed the way investors interact with markets. It makes trading easier and more accessible. Now, investors can use online platforms to buy and sell stocks, bonds, and cryptocurrencies quickly, with real-time data available anytime.
Robo-advisors are a key development in personal investment. They provide automated financial planning services, needing little human involvement. These platforms suit investors who want convenience and low costs, letting them manage their investments with customized strategies.
As technology develops, it also changes how we learn about investing. Educational resources are widely available, helping both experienced and new investors make smart choices with confidence.
Sustainable or ESG (Environmental, Social, and Governance) investing is becoming popular. More investors want their investments to reflect their values regarding social and environmental issues. This trend shows that people are increasingly aware of their impact and want to promote positive change through their finances.
Investors in sustainable options often find that they not only gain financially but also feel good supporting companies that care about making a difference. Many studies show that companies with strong ESG practices often perform better over time, which can strengthen investment portfolios.
The focus on sustainability is also encouraging businesses to adopt greener practices and better governance. For those who want their investments to make a positive impact, this trend lets them align their financial goals with their values. The investment landscape is lively and always changing. With many opportunities available, now is a great time to explore options like pre-IPO investing, hedge fund strategies, and the latest advancements in technology and sustainability.
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 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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September 18, 2026 | NCFA Insight | Artificial Intelligence And Data, Capital Markets Infrastructure And Funding, Public Sector Policy And Industrial Strategy, Risk Compliance And Regtech

On September 16, 2026, Canada and Germany announced plans to fund Montréal based LawZero sovereign AI, with Canada committing C$150 million and Germany planning €100 million. Canada's funding comes from the Strategic Response Fund, while Germany's contribution remains subject to notification by the European Commission.
LawZero is a not for profit AI research organization founded in 2025 by Yoshua Bengio after incubation at Mila. The new funding supports research and engineering talent, computing capacity and its Scientist AI program, with an expected 360 full time jobs in Canada. LawZero also plans dedicated Canadian computing infrastructure with Hypertec and 5C, giving its researchers domestic capacity for model development and data processing.
Scientist AI is designed differently from autonomous AI agents that pursue goals and take actions. LawZero is developing a system that evaluates evidence and produces probabilistic predictions without pursuing objectives of its own. Researchers also want to use it to assess the behaviour of other AI systems and support scientific research. The technology remains under development, and LawZero hasn't announced a commercial product or customer base.
The LawZero funding follows months of Canada Germany AI cooperation. In February, the two countries launched the Sovereign Technology Alliance and identified LawZero as a possible area for joint work. Canada and Germany continued those discussions through the summer as they negotiated a wider strategic partnership covering AI, technology and investment. The first formal meeting of the alliance's co chairs took place in Montréal on September 17, one day after the LawZero funding announcement.
Sovereign AI is about keeping more control over the technology a country depends on, including where models run, where data is processed and who owns the underlying systems and intellectual property. The aim is to make sure Canadian companies and governments have secure AI options that aren't controlled entirely by foreign providers.
Canada's AI for All strategy already commits federal support to sovereign compute, domestic cloud infrastructure, Canadian AI companies and government procurement. Ottawa is also planning a public AI supercomputer, another C$700 million Compute Access Fund and a C$500 million Canadian Tech Growth Fund while targeting an increase in business AI adoption from just over 12% to 60% by 2034.
Other announcements this week show different parts of that build taking form. Bell and Saskatchewan announced plans on September 14 for up to 1.2 GW of AI capacity and as much as C$52.5 billion in total capital investment, with Canadian ownership and data sovereignty built into the provincial agreement. Bell addresses compute and physical infrastructure, while LawZero directs capital toward models, research and AI safety.
On September 16, Cohere and Aleph Alpha finalized a deal to create an enterprise AI business based in Canada and Germany. Schwarz Group is investing €500 million and provides European cloud infrastructure through StackIT. Cohere also announced an OpenText partnership for privately deployable agentic AI aimed at governments and regulated industries.
Canada is funding more of the AI system itself, from compute capacity to model development and safety research. Bell is building infrastructure, Cohere is expanding enterprise AI with European partners, and LawZero is adding publicly funded research and domestic compute. Canada still relies on foreign chips, cloud technology and global capital, but more of the core capability is being built and financed at home.
For regulated industries, the value of this investment is less about LawZero producing a banking product and more about having more choice over where AI systems are developed, tested and run. Banks, insurers and fintechs still have to judge AI on performance, security, auditability, cost and liability, while Ottawa is also developing its approach to AI transparency and agent governance. Canadian and allied infrastructure can give regulated firms more options for handling sensitive data and deploying models under their own controls.
Canada doesn't need to reproduce the entire global AI supply chain to gain more control over critical technology. Public funding can help build domestic capacity, but the return depends on whether that capacity develops into technology, companies and expertise that remain anchored in Canada.
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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