Karsten Wenzlaff, Advisor
August 26th, 2025
Karsten Wenzlaff is a Crowdfunding and Fintech Expert from Germany. He is Secretary-General of Digit[...]
Category Archives: Cyber Security, Quantum, Hacks, Fraud Alerts, Risks, InsurTech
The Hidden Cost of One AI Model: What Ungoverned Compliance Language Is Really Costing Canadian Fintechs in 2026
July 2, 2026
Picture the moment a Canadian fintech dreads most. A regulator's letter arrives. A customer in Quebec, or in a newcomer community you were proud to serve, relied on a disclosure written in their own language, and that disclosure said something the English original did not. Now you are explaining to a supervisor how the wording was produced, who checked it, and why a fee, a risk, or an obligation came out wrong. There is no comfortable answer, because the honest one is this: a single AI model wrote it, and nobody verified it.
That scenario is no longer rare or hypothetical. As fintechs scale into new markets and serve multilingual communities at home, more and more compliance language, terms of service, risk disclosures, consent flows, regulatory filings, is being produced by one AI model with no accuracy standard behind it. It feels efficient. It looks clean. And it quietly builds a liability that only reveals its price later, at the point where it is most expensive to fix.
The cost you do not see until it lands
What makes this gap so dangerous is that its cost stays invisible until it is realized. A mistaken clause does not throw an error message. It sits inside your disclosure reading perfectly, right up until an audit, a customer complaint, or an enforcement review turns it into a remediation project, a forced re-disclosure, a penalty, or a stalled market launch. Regulators do not distinguish between an error a person made and one a machine made. Across Canada's framework, from FINTRAC's obligations under the PCMLTFA, to provincial securities disclosure rules, to the Retail Payment Activities Act, the accuracy of what a customer is told is a supervised matter, not a marketing preference. For firms serving official-language communities, bilingual accuracy is frequently a legal expectation rather than a courtesy.
Every one of those outcomes carries a number. Legal hours. Remediation. Re-issued documents. Delayed revenue while a launch is held. And the quiet, compounding cost of a regulator who now watches you more closely than your competitors. The bill for one wrong word is rarely small, and it almost never arrives on your schedule.
Why one model quietly runs up the bill
Here is what most teams have not priced in: AI models disagree with one another, and they disagree most on the language that matters most. Independent testing makes this concrete. In Intento's State of Translation Automation 2025, baseline machine systems averaged roughly 10 to 15 errors per text before customization, and synthesized industry data places single top-tier large language model hallucination rates in translation tasks between 10% and 18%. On a marketing tagline, a 12% error band is a style problem. On a regulatory disclosure, it is a liability with a dollar figure attached.
Those errors are idiosyncratic to each model: one engine mishandles a defined term, another drops a conditional clause, a third invents a plausible equivalent that does not exist in the target jurisdiction's regulatory vocabulary. And the risk compounds with length, so the longer the document, a prospectus, a payment services agreement, a full disclosure set, the more independent points of failure a single model introduces. Then there is the cost even a correct-looking output creates. Someone still has to check it. Every hour a compliance lead spends re-reading machine output they cannot fully trust is an hour billed to the single-model shortcut, a verification backlog that never appears on the invoice but is paid every single week.
What certainty by design looks like, and what it saves
The way out is architectural, not aspirational. If individual models fail idiosyncratically, then running many at once and keeping only what most of them independently produce turns disagreement into a filter. Intento's own findings point the same way: Slator's reporting on that study noted that a multi-agent workflow explicitly designed to avoid compounding hallucinations delivered the highest quality across nine of eleven language pairs, outperforming any single engine.
This is the principle behind MachineTranslation.com, an AI translation platform built for exactly this failure mode. Its SMART mechanism runs a text through 22 AI models simultaneously, evaluates the source context to determine the most accurate rendering, and returns the output the majority of those models agree on. Because hallucinations are model-specific, cross-model agreement functions as an automated audit: the outlier renderings that shift what an obligation means are structurally filtered out before anyone sees the result. Internal benchmarks put the effect at roughly a 90% reduction in critical error risk, with agreed errors falling below 2% and up to 85% of outputs reaching professional-quality standard. The point is not speed. The point is certainty, and certainty is precisely what removes the hidden costs: fewer errors to remediate, and far less of the verification backlog that quietly drains a compliance team's time.
When the document cannot be wrong
Cross-model agreement handles accuracy at scale. For the documents where a single error is unthinkable, a regulator-facing filing, a signed customer agreement, a prospectus, certainty has to be absolute, and that is where a second pillar matters. On the same platform, human verification escalates any output to a professional reviewer, adding a validated final check on top of the machine layer. This is not theoretical. Tomedes, the language company behind the platform, documents its high-stakes work in a library of recent translation case studies spanning certified legal filings, court-ready documents, and financial materials handled under confidentiality and delivered to compliance standards. The economics are blunt: the cost of one professional reviewer is trivial next to the cost of one enforcement action. Consensus for accuracy across volume, human verification for certainty on the documents that cannot be wrong.
Govern the language before it becomes a bill
None of this asks Canadian fintechs to become linguists. It asks them to govern this control the way they already govern every other one. Regulators are moving in exactly that direction on AI more broadly. NCFA's own coverage of the IOSCO AI supervisory toolkit for capital markets frames the expectation plainly: where AI touches a supervised process, firms are expected to show governance, oversight, and accountability for how the system behaves.
Translating compliance content is one of those processes, and today it is often the least governed one in the building. The practical steps are small. Add multilingual accuracy to the risk register. Ask who verified the language a customer relied on, and how. Replace a single ungoverned model with an architecture that removes the error by design and validates the highest-stakes content with a human. The cost of getting the language right the first time is a rounding error next to the cost of explaining why you did not. For a Canadian fintech scaling across markets or serving communities in more than one language, that is the whole choice: money spent on prevention, or money lost to a disclosure you have to defend.
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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Canada’s Open Banking Strategy Starts With Trust
June 29, 2026 | NCFA Feature | Open Banking And Open Finance, Digital Identity And Trust, Cybersecurity And Fraud, Risk Compliance And Regtech, Fintech And Innovation
Fraud, Consent And Liability Before Open Finance Scale
On June 26, 2026, the Government of Canada published Consumer Driven Banking regulations together with new fraud prevention regulations, the most significant progress in Canada's open banking implementation since legislation received Royal Assent earlier this year.
At first glance, the two regulatory packages appear separate. One establishes the operating rules for consumer driven banking. The other requires federally regulated banks to strengthen fraud prevention for electronic funds transfers.
Together, however, they reveal something much bigger.
Canada isn't simply launching open banking. It's building the trust infrastructure needed before open finance can scale.
The problem is that millions of Canadians already share their financial information through screen scraping, a practice tracked as a core open banking risk in Bank Of Canada Signals Open Banking Timing Risk. Finance Canada estimates roughly nine million Canadians currently use screen scraping despite the security, liability, and consumer protection concerns it creates. The new framework is designed to replace that model with accredited participants, standardized APIs, consumer controlled consent, and clear accountability.
The Regulations Explain Canada's Strategy
Much of the early discussion around open banking has focused on data portability. The regulations suggest Finance Canada sees the challenge differently.
Data sharing is only one part of the system.
- Consumers must know who can access their information
- Financial institutions must know who they are sharing data with
- Accredited participants must meet common operational and security requirements
- Liability must be clear when something goes wrong
- Fraud must be monitored
- Technical standards must allow systems to communicate securely
- Consumers need complaint mechanisms and regulatory oversight
Only after these pieces exist does secure data sharing become practical.
The Regulatory Impact Analysis estimates the framework will generate approximately $13.2 billion in net benefits over ten years, compared with implementation costs of about $457.7 million, largely through greater competition, improved consumer choice, reduced friction, and innovation.
Those numbers reinforce that Consumer Driven Banking is being treated as national financial infrastructure rather than another fintech initiative.
Why Fraud Rules Arrived At The Same Time
Some viewed the fraud regulations as a separate announcement, but the timing suggests otherwise.
As consumers gain greater control over financial data and eventually broader payment functionality, fraud risks also change. Criminals increasingly exploit social engineering, account takeover, impersonation, and authorized push payment scams rather than technical weaknesses alone.
Finance Canada's fraud framework responds by requiring federally regulated banks to establish policies and procedures to detect, prevent, and mitigate consumer targeted fraud involving electronic funds transfers.
The regulations also introduce stronger expectations around consumer controls, including the ability to manage transaction capabilities and limits, express consent before enabling electronic funds transfer functionality, and fraud reporting to the Financial Consumer Agency of Canada.
Greater consumer control must be matched by stronger consumer protection. The inherent message is that the federal government wants to make fraud prevention part of the architecture rather than an afterthought.
Canada Is Turning Trust Into Rules
Reading the regulations together shows that trust is no longer treated as a policy objective. It's becoming operational and the framework combines:
- consumer controlled consent
- accreditation of participating organizations
- secure API based data exchange
- authentication requirements
- defined liability arrangements
- technical standards
- record keeping obligations
- ongoing supervision
- consumer complaint processes
- fraud monitoring and reporting
None of those capabilities creates value on its own, but collectively they create an environment where consumers, banks, fintechs, and regulators can exchange financial information with greater confidence than today's screen scraping model.
The regulations therefore answer an important implementation question that has existed since Canada's open banking discussions began several years ago.
Trust is not assumed. It's engineered.
Every Regulatory Requirement Creates A Product Opportunity
The regulations also strengthen several areas already appearing across NCFA's Financial Innovation Map.
Consumer consent requirements create opportunities for consent orchestration platforms that help consumers understand, grant, renew, and withdraw permissions across multiple financial relationships.
Accreditation requirements create opportunities for compliance operations platforms that help fintech companies prepare for accreditation, maintain operational controls, manage evidence, and demonstrate ongoing compliance.
Fraud obligations strengthen demand for behavioural fraud analytics, scam detection, mule account monitoring, transaction risk scoring, and real time payment controls.
Authentication requirements reinforce opportunities for digital identity, credential management, and secure customer authentication.
Technical standards create demand for API testing, interoperability tools, certification services, and developer infrastructure.
Liability and complaint provisions strengthen opportunities for workflow automation covering dispute management, evidence collection, case handling, and regulatory reporting.
None of these businesses exists because regulators explicitly created them, but they will emerge because every operational requirement creates work that financial institutions and technology providers must perform efficiently. And that's often where durable fintech companies are built.
Canada Is Building Beyond Read Only Banking
The initial Consumer Driven Banking framework focuses on secure consumer permissioned data sharing. It's an intentional starting point.
Once accreditation, liability, consent management, authentication, and technical standards mature, the same infrastructure can support broader open finance capabilities, including additional financial products and, potentially, future write access.
The regulations therefore describe more than the first phase of open banking. They establish the operating foundation for future financial data ecosystems.
The opportunity is not limited to data sharing. It extends into the systems that make data sharing safe, usable, auditable, and commercially scalable.
That includes trust infrastructure, fraud infrastructure, consent systems, API reliability, compliance operations, data governance, and consumer protection workflows.
See: Canada Open Banking Commercialization Roadmap
The next phase of Canada's open banking market will depend on whether these operating layers mature quickly enough for banks, fintechs, consumers, and businesses to use the framework with confidence.
That makes today's implementation decisions highly important because many of tomorrow's fintech products will inherit the rules established now.
For Canada's fintech ecosystem, this strengthens the opportunity case outlined in NCFA's Open Banking Opportunity Brief. The next iteration of value will come from tools that make consent, risk, identity, fraud controls, interoperability, and compliance easier to operate at scale.
Talking Point
If trust, consent, fraud controls, liability, and interoperability become core infrastructure for open banking, which product category will create the greatest competitive advantage for Canadian fintech companies over the next five years?
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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NCFA Weekly Fintech Intelligence Jun 20-26, 2026
June 26, 2026 | NCFA Fintech Whisperer | Digital Assets Blockchain And Tokenization, Capital Markets And Market Infrastructure, Artificial Intelligence And Data, Lending Consumer Credit And BNPL, Risk Compliance And Regtech, Payments And Market Infrastructure, Regulation And Policy, Treasury Liquidity And Cash Management
Image: Freepik
This live weekly NCFA intelligence page tracks financial technology developments that significantly affect how fintechs build, sell, raise capital, and operate under scrutiny. Coverage prioritizes Canada and includes global events that directly influence competitive conditions, market access, and execution realities across fintech sectors. This page will be updated throughout the week with market movers in a live format and then each week we'll close the prior week's contents in prep for the upcoming week, and continue on a rolling basis. (Missed prior week's Fintech Whisperer? (December 6-12, 2025, December 13-19, 2025, January 1-9, 2026, January 10-16, 2026, January 17-23, 2026, January 24-30, 2026, January 31-February 6, 2026, February 7-13, 2026, February 14-20, 2026, February 21-27, 2026, February 28-March 6, 2026, March 7-13, 2026, March 14-20, 2026, March 21-27, 2026, March 28-April 3, 2026, April 4-10, 2026, April 11-17, 2026, April 18-24, 2026, April 25-May 1, 2026, May 2-8, 2026, May 9-15, 2026, May 16-22, 2026, May 23-29, 2026, May 30-Jun 5, 2026, Jun 6-12, 2026, Jun 13-19, 2026).
Weekly Fintech Market Intelligence Jun 20 - Jun 26, 2026
Digital Assets Blockchain And Tokenization
Credit Unions Launch Stablecoin And Digital Asset Programme
June 24, 2026, United States
- Stablecore, Circuit and Curql launched an early access stablecoin and digital asset programme for credit unions, with initial participation from RBFCU, Stanford FCU, La Capitol FCU and other institutions representing approximately $25 billion in combined assets.
- The programme allows participating credit unions to evaluate stablecoin payments, tokenized deposits, Bitcoin on and off ramps, digital asset accounts, staking, compliance support and member education before broader deployment.
- The initiative gives credit unions a coordinated path to test digital asset services instead of running isolated vendor experiments.
Credit unions now have a clearer way to test stablecoins, tokenized deposits and digital asset accounts inside member owned financial institutions. Banks, core providers, payments firms, fintechs and regulators should watch whether these early programmes become production deployments for real time settlement, deposit tokens and broader member access to digital assets.
FinCEN Proposes CIP Rules For Stablecoin Issuers
June 22, 2026, United States
- FinCEN and the federal banking agencies proposed customer identification program requirements for permitted payment stablecoin issuers under the GENIUS Act.
- The proposal would treat permitted payment stablecoin issuers as financial institutions under the Bank Secrecy Act and require them to maintain effective CIPs.
- The Federal Register notice opened a public comment period ending Aug. 21, 2026.
Stablecoin issuer regulation is becoming an AML and identity control issue, not only a reserve or redemption issue. Issuers, banks, custodians, wallets, exchanges and compliance teams should prepare for customer identification, verification, recordkeeping and risk controls as payment stablecoin frameworks mature.
Bank Of England Advances Systemic Stablecoin Rules
June 22, 2026, United Kingdom
- The Bank of England published a policy statement and draft rules for systemic sterling stablecoin issuers.
- The framework covers reserve assets, safeguarding, redemption, issuer resilience, disclosure, supervision, and the role of stablecoins in payments.
- The rules are aimed at firms whose stablecoins may become systemically important for UK payments and financial stability.
Stablecoin regulation is moving from policy design into operating rules for payment infrastructure. Issuers, banks, custodians, payment firms, exchanges, and fintechs should watch how reserve design, redemption rights, safeguarding, and systemic supervision shape market access for regulated digital money.
Capital Markets And Market Infrastructure
Securitize Sets NYSE Listing Path For Tokenization Platform
June 26, 2026, United States / Global
- Securitize and Cantor Equity Partners II said their business combination is expected to raise approximately $400 million in gross proceeds.
- The combined company is expected to trade on the New York Stock Exchange under the ticker SECZ after closing, subject to shareholder approval and closing conditions.
- Securitize said it has more than $4 billion in tokenized real world assets under management and operates regulated digital securities infrastructure in the United States and Europe.
Tokenization platforms are entering public capital markets. Asset managers, broker dealers, transfer agents, custodians, exchanges and investors should watch how public company access, regulated ATS infrastructure and cross border digital securities permissions shape the next phase of tokenized fund and real world asset distribution.
US Senators Target Sports Prediction Market Contracts
June 26, 2026, United States
- Senators John Curtis and Adam Schiff introduced the Prediction Markets Are Gambling Act to prohibit CFTC registered entities from listing prediction contracts that resemble sports bets or casino style games.
- The bill would clarify that the Commodity Exchange Act does not permit sports gambling through federally regulated prediction market contracts.
- The senators said sports prediction contracts are being offered across all 50 states, including states with sports betting restrictions or prohibitions.
Event contract markets are facing a sharper boundary test. Exchanges, brokers, prediction market platforms, sports leagues, tribal gaming authorities and regulators should watch whether Congress narrows the line between federally regulated event contracts and state regulated gambling.
FRC Clarifies Auditor Independence Rules For PISCES Companies
June 25, 2026, United Kingdom
- The Financial Reporting Council issued staff guidance on auditor independence requirements for companies traded on the UK Private Intermittent Securities and Capital Exchange System.
- The guidance says PISCES traded companies should not currently be treated as listed entities under the FRC Ethical Standard for auditor independence purposes.
- The FRC said it will give at least one year’s notice before any future change to this position.
Private market trading infrastructure needs audit rules that firms can apply before transactions scale. Companies, auditors, advisers, venues and investors should watch how PISCES treatment affects independence checks, audit committee planning, transaction readiness and the operating model for periodic private share trading.
CSA Finalizes Access Model For Issuer Disclosure
June 25, 2026, Canada
- The Canadian Securities Administrators announced final amendments to implement an access model for annual financial statements, interim financial reports, and related MD&A for reporting issuers other than investment funds.
- The model lets issuers provide electronic access to eligible disclosure documents instead of sending paper copies, while investors can still request paper or electronic delivery.
- The amendments are expected to take effect on Sept. 22, 2026 and include new SEDAR+ functionality to notify investors when eligible documents are filed.
Canadian issuer disclosure is becoming more digital by default. Public companies, transfer agents, investor relations teams, legal advisers and compliance staff need to adjust delivery controls, SEDAR+ workflows, investor notices and request handling before the new access model takes effect.
CSA And CIRO Delay Access Fee And Tick Size Rule Changes
June 22, 2026, Canada
- CSA and CIRO delayed implementation of final amendments to Canadian access fee and tick size rules.
- The amendments had been scheduled to come into force on Nov. 2, 2026.
- The delay follows the SEC’s postponement of related US tick size and access fee reforms, affecting harmonization for interlisted securities.
Canadian equity market structure remains tied to US implementation timelines. Trading venues, brokers, market makers, and technology teams need more time to adjust routing logic, fee models, tick increments, compliance controls, and systems that support trading in interlisted securities.
ICE And OKX Form Joint Venture For Tokenized Markets
June 22, 2026, United States / Global
- Intercontinental Exchange and OKX announced a 50-50 joint venture, subject to regulatory approvals, to connect traditional and digital asset markets.
- The venture is expected to operate as a US registered broker dealer and futures commission merchant.
- The companies say the platform will give OKX customers access to ICE futures markets and NYSE tokenized equities markets.
Tokenization is moving closer to regulated market infrastructure. Exchanges, brokers, clearing firms, custodians, digital asset platforms, and regulators should watch how traditional market operators and crypto venues build permissioned pathways for tokenized securities, futures access, custody, execution, and compliance. Similar infrastructure questions are also emerging in event contract markets as new regulated venues, distribution channels, and contract frameworks develop.
Artificial Intelligence And Data
Santander Scales AI Access Across 185,000 Employees
June 22, 2026, Spain / Global Bank
- Santander extended AI access to all 185,000 employees as part of its AI first operating strategy.
- The bank reported €35 million in AI generated value in Q1 2026, with a target above €200 million in 2026 and more than €1 billion from 2026 to 2028.
- Santander says it has deployed 280 process automation agents and is applying AI across fraud, KYC, operations, software development, customer service, and internal productivity.
Bank AI adoption is moving from pilots to operating metrics. Financial institutions, fintech vendors, compliance teams, investors, and regulators should watch how large banks measure AI value, scale employee access, govern automation agents, and connect AI deployment to fraud control, onboarding, productivity, risk operations, and compute infrastructure markets.
Payments And Market Infrastructure
Skydo Establishes Regulated Canada Payments Presence
June 23, 2026, Canada / India
- Skydo co founder Movin Jain said Skydo Payments Inc. is registered as a FINTRAC approved money services business and authorized under Canada’s Retail Payment Activities Act.
- The post described the Canadian authorization as Skydo’s first regulatory step outside India.
- Finextra reported that the Canadian entry supports local collections, local payouts and two way payment flows between India and Canada.
Cross border payments are becoming a regulated corridor strategy. Exporters, payment firms, banks, compliance teams and fintechs should watch how RPAA registration, money services business obligations, local payout capability and bank account connectivity affect competition in Canada India payment flows.
European Parliament Committee Backs Digital Euro Position
June 23, 2026, European Union
- The European Parliament’s Economic and Monetary Affairs Committee adopted its position on the establishment of the digital euro by 43 votes to 14, with one abstention.
- The proposal would create an electronic form of ECB money that works online and offline, with privacy safeguards, holding limits, fee rules, and a distribution role for banks, e-money providers, post offices, and regulated crypto-asset providers.
- The committee also backed related files on digital euro services by PSPs in non-euro member states and the legal tender status of euro cash.
Digital euro policy is becoming payment infrastructure design. The next test is how offline use, privacy controls, holding limits, fees, PSP distribution, and cash protection fit into a system that has to work across public money, private payment providers, and existing rails.
Lending Consumer Credit And BNPL
B.C. Tightens Mortgage Services Rules Under New Act
June 22, 2026, Canada
- B.C.’s Mortgage Services Act comes into force Oct. 13, 2026, replacing the Mortgage Brokers Act.
- BCFSA says the new framework modernizes licensing, supervision, rulemaking, investigation, discipline, and consumer protection for mortgage services.
- Discipline penalties for serious contraventions can reach $250,000 for individuals and $500,000 for mortgage brokerages, while administrative penalties can range from $1,000 to $100,000.
Mortgage distribution is becoming a stronger fraud, licensing, and consumer protection issue. Brokers, lenders, fintech mortgage platforms, compliance teams, and investors should watch how higher penalties, clearer licensing rules, and stronger supervision reshape risk controls in mortgage services.
Risk Compliance And Regtech
FINTRAC Enables Information Sharing To Detect Financial Crime
June 25, 2026, Canada
- FINTRAC confirmed that reporting entities can now exchange designated information with one another to detect and deter money laundering, terrorist activity financing and sanctions evasion under Canada's amended anti money laundering framework.
- The changes allow regulated entities to strengthen financial crime detection while remaining subject to legislative requirements governing the collection, use and disclosure of personal information.
- The new information sharing framework forms part of broader amendments to Canada's anti money laundering and anti terrorist financing regime.
Financial crime detection no longer depends only on what individual institutions can see. Banks, credit unions, payment service providers, securities dealers, fintechs and other reporting entities can now strengthen risk detection by sharing designated information, creating new opportunities for collaborative fraud controls, network analysis and anti money laundering investigations.
Bank Of England Signals Shift In Enforcement Engagement
June 24, 2026, United Kingdom
- Bank of England Head of Enforcement and Litigation David Chaplin said PRA and Bank enforcement cases are showing earlier engagement, candour and remediation by investigation subjects.
- The speech highlighted the Early Account Scheme, which can support faster investigations and enhanced penalty discounts where firms provide accurate accounts and make early admissions.
- The Bank said the change is already visible across live cases, with firms making admissions earlier than would previously have been typical.
Regulatory enforcement is becoming more incentive driven. Banks, insurers, investment firms, credit unions and compliance teams should review how early investigation strategy, breach assessment, remediation evidence and senior accountability affect enforcement outcomes.
FRC Updates UK Auditing Standards
June 24, 2026, United Kingdom
- The Financial Reporting Council revised ISA (UK) 700, ISA (UK) 701 and ISA (UK) 720 to shorten auditor reports and improve investor usefulness.
- The standards add auditor reporting requirements linked to UK Corporate Governance Code Provision 29 controls statements for companies that follow the code.
- The FRC withdrew two older audit bulletins and said the revised standards take effect from Dec. 15, 2026.
Audit reporting is becoming more focused on useful disclosure, controls evidence and investor readability. Companies, audit committees, auditors, governance advisers and compliance teams should prepare for updated report content, Provision 29 controls statements and revised audit workflows before the December effective date.
White House Orders Transition To Post Quantum Cryptography
June 22, 2026, United States
- The White House issued an Executive Order directing federal agencies to accelerate migration to post quantum cryptography to address future quantum computing threats to encryption.
- Federal agencies must designate post quantum cryptography migration leads within 30 days, while OMB is required to issue implementation guidance within 90 days.
- The order establishes transition targets requiring high value assets and high impact systems to adopt post quantum cryptography for key establishment by Dec. 31, 2030 and digital signatures by Dec. 31, 2031.
Firms need to know where encryption is used, which vendors are exposed, which systems protect high value data, and how long migration will take. Crypto inventory, procurement language, vendor assurance, and roadmap planning should start before compliance dates become delivery pressure.
Treasury Liquidity And Cash Management
SCRYPT Moves Internal Treasury Into Franklin Templeton’s BENJI Fund
June 25, 2026, Switzerland / Global
- SCRYPT integrated BENJI, the tokenized share of the Franklin OnChain U.S. Government Money Fund, into its internal treasury operations.
- The deployment gives SCRYPT 24/7 onchain access to a yield-bearing money market fund for managing idle liquidity.
- SCRYPT is using the fund through the same Swiss-licensed trading, settlement and custody infrastructure that supports its institutional digital asset operations.
A regulated operating company is using a tokenized money market fund for its own liquidity rather than presenting it as a future client product. That moves tokenization into daily treasury operations, where continuous access, settlement speed, custody controls and balance-sheet utility can be tested against conventional cash-management infrastructure.
Regulation And Policy
OSFI Launches Streamlined Approvals Framework
June 25, 2026, Canada
- OSFI launched its Streamlined Approvals Framework to provide eligible new entrants with a quicker, clearer and more predictable approvals process for federally regulated financial institutions.
- The framework introduces a three phase approvals process with defined service standards, greater transparency and a public dashboard showing the status of applications.
- The initiative applies to eligible incorporations, continuances, business expansions and other approval requests, using a risk based approach to streamline lower risk applications.
Approval processes are becoming more transparent and predictable for eligible applicants entering or expanding within Canada's federally regulated financial sector. Banks, fintechs, federal credit union applicants and regulated financial institutions should watch how the framework affects application timelines, market entry, organizational changes and future supervisory expectations. For background, see NCFA's earlier coverage of the Streamlined Approvals Framework proposal.
Manitoba Enacts Public Sector AI And Cybersecurity Governance Law
June 1, 2026, Canada
- Manitoba gave Royal Assent to the Public Sector Artificial Intelligence and Cybersecurity Governance Act, creating a legal framework for AI and cybersecurity controls across prescribed public sector organizations.
- The Act allows requirements covering AI accountability, monitoring, documentation, risk assessment, bias testing, human oversight and prescribed technical standards.
- It also provides for cybersecurity programs, incident reporting, procurement requirements and ministerial cybersecurity directives.
- Most practical obligations still depend on proclamation and future regulations, which will determine who is covered and how the requirements operate.
Manitoba has put AI governance and cybersecurity inside the same statutory control structure for the public sector. The next test is implementation. Regulations will determine how far the province goes on human oversight, technical standards, incident reporting and vendor procurement, and whether those requirements become a practical benchmark for other Canadian governments.
Conclusion
Every week brings hundreds of announcements. Only a small number signal meaningful change. This week's developments point to new opportunities across payments, digital assets, AI, capital markets and regulation that could influence where innovation accelerates, investment flows and new business models emerge next.
NCFA offers various curated resources to help founders and investors stay current on developments that impact fintech markets, subscribe to NCFA weekly newsletter updates, view the latest fintech insights, industry research, or launch into emerging financial innovation opportunities.
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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Santander Shows What an AI Native Bank Looks Like
June 22, 2026 | NCFA Insight | Artificial Intelligence And Data, Risk Compliance And Regtech
Governance, Testing, And Proof Of Control Move Into The Competitive Stack
On June 22, 2026, Banco Santander reported that its AI first strategy generated €35 million in business value in Q1 2026, with expected value of more than €200 million by year end and a target of more than €1 billion between 2026 and 2028. That's a regulated bank putting numbers around AI execution.
The more interesting part is how Santander is trying to get there. The bank has extended AI access to all 185,000 employees, reported more than 280 AI automation agents in production, and previously described its ambition to become an AI native bank.
Ricardo Martín Manjón, Chief Data & AI Officer at Banco Santander, put the strategy plainly:
“For me, being AI-first means applying AI where it can have tangible impact.”
For Canada, the timing of this announcement is important because Santander recently received approval to operate as a federally regulated bank in Canada. So its AI operating model more than a global case study. It's a preview of how new banking competitors may bring AI, governance, fraud controls, and measurable operating discipline into regulated Canadian markets.
The Race Is No Longer About Access
The first AI cycle rewarded access. Banks tested foundation models, launched copilots, built internal assistants, and looked for productivity wins. That phase is maturing fast. Models are easier to access. Cloud tools are easier to use. Building a convincing demo is no longer the hardest part.
The harder test is operating AI inside a regulated financial institution without losing control of risk, data, decisions, accountability, or customer trust.
That's where Santander’s publicly released data become strategically useful. Specifically, the update points to measurable business value, enterprise wide access, employee adoption, automation agents, and governance controls across ethical, legal, cybersecurity, and risk requirements. This is what AI moving from lab work into operating infrastructure looks like.
Why Santander Opened The Black Box
One underappreciated piece of the story is Santander AI Lab’s open source work. Its Gen Fraud Graph project is described as an Apache 2.0 open source initiative for generating synthetic fraud graphs and advancing fraud detection capabilities. The technical repository is also available on SantanderAI’s GitHub.
Fraud detection is one of the fastest ways to expose whether financial AI can be trusted. It touches financial crime, AML controls, identity checks, transaction monitoring, customer friction, model risk, and auditability. A model that performs well in a slide deck but cannot be tested, explained, monitored, or reviewed isn't ready for regulated scale.
Synthetic fraud graphs help solve a practical problem. Banks need realistic fraud scenarios to test detection systems, but they cannot freely share customer data or investigative information. Synthetic environments provide a safer way to benchmark performance, validate models, and document results.
Fraud Is The Trust Test
The choice of fraud is revealing. Santander didn't launch its open source thread with a marketing assistant or a generic productivity tool. It highlighted infrastructure connected to risk.
Fraud teams need speed, but they also need evidence. Compliance teams need explainability. Risk teams need controls. Boards need accountability. Regulators need confidence that systems can be monitored and challenged.
For fintechs, this move by Santander is both a warning and an opportunity. AI claims won't be enough in fraud, AML, onboarding, underwriting, customer service, complaints, trading, surveillance, or compliance workflows. Buyers will increasingly ask for testing evidence, audit trails, human review, data controls, drift monitoring, and proof that the system works under pressure.
Evidence Is Becoming Infrastructure
Recent work from IOSCO, OSFI, the European Union, the FCA, and other supervisory bodies points in the same direction. Institutions want measurable results. Customers expect accountability. The result is a growing focus on how AI systems are tested, monitored, explained, and challenged. That's why AI is creating a new compliance burden at the same time it creates productivity gains.
Santander reports more than 280 AI agents operating across the organization alongside enterprise wide training, governance controls, and measurable business outcomes. The same operating question now appears across AI agents entering financial workflows, customer onboarding, fraud detection, transaction monitoring, and compliance operations. The challenge is proving that it can operate safely inside regulated environments, and fraud amplifies the challenge immediately.
AI clones, biometric breaches, faster payments, and cyberattacks are weakening older trust signals, which raises the value of new verification controls for financial trust. Synthetic fraud graphs fit into that bigger problem because they give teams a safer way to test detection systems without exposing customer data or live investigations.
For banks, fintechs, payments firms, and infrastructure providers, that changes the economics of competition. Access to advanced models is becoming easier. Building a prototype is becoming easier. Producing evidence that a system can be trusted under real operating conditions remains difficult.
The first AI race was about capability. The next one is quickly focusing on proof.
Talking Point
If access to advanced AI becomes commonplace, will governance infrastructure and proof of control become more valuable than proprietary models in regulated financial services?
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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NCFA Weekly Fintech Intelligence Jun 13-19, 2026
June 13, 2026 | NCFA Fintech Whisperer | Capital Markets And Market Infrastructure, Lending Consumer Credit And BNPL, Regulation And Policy, Risk Compliance And Regtech, Payments And Market Infrastructure, Digital Assets Blockchain And Tokenization, Artificial Intelligence And Data
Image: Freepik
This live weekly NCFA intelligence page tracks financial technology developments that significantly affect how fintechs build, sell, raise capital, and operate under scrutiny. Coverage prioritizes Canada and includes global events that directly influence competitive conditions, market access, and execution realities across fintech sectors. This page will be updated throughout the week with market movers in a live format and then each week we'll close the prior week's contents in prep for the upcoming week, and continue on a rolling basis. (Missed prior week's Fintech Whisperer? (December 6-12, 2025, December 13-19, 2025, January 1-9, 2026, January 10-16, 2026, January 17-23, 2026, January 24-30, 2026, January 31-February 6, 2026, February 7-13, 2026, February 14-20, 2026, February 21-27, 2026, February 28-March 6, 2026, March 7-13, 2026, March 14-20, 2026, March 21-27, 2026, March 28-April 3, 2026, April 4-10, 2026, April 11-17, 2026, April 18-24, 2026, April 25-May 1, 2026, May 2-8, 2026, May 9-15, 2026, May 16-22, 2026, May 23-29, 2026, May 30-Jun 5, 2026, Jun 6-12, 2026).
Weekly Fintech Market Intelligence Jun 13 - Jun 19, 2026
Risk Compliance And Regtech
EBA Expands Oversight Under DORA, MiCA, And EMIR
June 18, 2026, European Union
- The European Banking Authority's 2026 Work Programme confirms expanded oversight responsibilities for critical third party ICT providers under DORA, significant crypto asset issuers under MiCA, and initial margin model validation under EMIR.
- The EBA said 2026 will focus on scaling supervisory and oversight functions as major European financial sector reforms enter implementation and operational supervision.
- The authority's responsibilities now extend further into operational resilience, technology risk oversight, crypto asset supervision, and market infrastructure controls across the European financial system.
European supervision is becoming more operational and technology focused. Banks, fintechs, crypto asset firms, infrastructure providers, and compliance teams should watch how DORA, MiCA, and EMIR oversight changes vendor governance, resilience testing, supervisory reporting, third party risk management, and regulatory accountability.
IOSCO Maps SupTech Use Across Securities Regulators
June 18, 2026, Global
- IOSCO published its first SupTech survey report, based on responses from 49 authorities across all IOSCO regions.
- The report found that authorities are integrating SupTech into core supervisory functions, with AI applications, data access and cloud infrastructure identified as key enablers.
- Consumer and investor protection and capital markets supervision are the most developed SupTech use cases, while digital assets show rising interest but limited current deployment.
Supervision is becoming more data driven, technology enabled and cross border. Securities regulators are building stronger tools for market surveillance, fraud detection, investor protection and digital asset oversight, which raises the operating bar for firms whose compliance, reporting and risk controls still depend on slow manual processes.
Capital Markets And Market Infrastructure
Wealthsimple Expands Canadian Access To Prediction Markets
June 18, 2026, Canada
- Wealthsimple announced plans to launch Wealthsimple Predict, a standalone application that will provide Canadian users with access to prediction market trading.
- The platform is expected to offer access to nearly 4,000 event contracts through infrastructure provided by Kalshi.
- The launch follows Wealthsimple's earlier regulatory approval to offer event contract trading and represents one of the largest retail distribution channels for prediction markets in Canada.
Prediction markets are moving from niche trading communities toward mainstream financial distribution. Retail platforms, exchanges, regulators, investors, and market operators should watch how event contracts evolve as a new information, forecasting, hedging, and market intelligence layer. Distribution may become as important as market design in determining adoption. See: Innovation Opportunities In Regulated Event Contract Infrastructure.
Capitolis Receives CFTC Relief For Post Trade Risk Reduction Services
June 18, 2026, United States
- The CFTC issued no action relief to Capitolis for certain swap post trade risk reduction services, subject to conditions.
- The relief relates to whether Capitolis would need to register as a swap execution facility when offering those services.
- The decision supports market infrastructure designed to reduce outstanding exposures, improve capital efficiency, and manage post trade risk.
Post trade risk reduction is becoming part of capital markets infrastructure. Dealers, clearing participants, platforms, and regulators should watch how compression, optimization, exposure reduction, and capital efficiency tools are treated as supervised infrastructure rather than back office utilities.
MarketAxess Launches TraX Tape For European Bond Market Transparency
June 18, 2026, United Kingdom / European Union
- MarketAxess introduced TraX Tape to provide an enriched view of European bond market trading activity.
- The launch responds to UK and EU fixed income transparency reforms and demand for consolidated bond market data.
- The service is designed to support price discovery, liquidity analysis, trading decisions, and regulatory transparency.
Bond transparency reform is creating demand for new market data infrastructure. Trading venues, asset managers, dealers, data providers, and regulators should watch how fixed income reporting, consolidated data, and transparency tools reshape price discovery and execution quality across European bond markets.
LTX Launches Agentic AI Workflow In BondGPT
June 16, 2026, United States
- LTX launched an agentic AI workflow inside BondGPT for institutional fixed income markets.
- The workflow is designed to help users move from market inquiry to analysis and execution support inside a credit trading environment.
- The launch adds another signal that AI is entering institutional trading, liquidity discovery, and fixed income workflow infrastructure.
Agentic AI is moving into capital markets workflow. For dealers, asset managers, pension funds, and credit trading desks, the issue is no longer only faster market search. The next phase is how supervised AI tools support pricing, liquidity discovery, execution preparation, and workflow decisions inside regulated markets.
Tradeweb Launches AI Assistant For Institutional Credit Trading
June 15, 2026, United States
- Tradeweb launched TARA, an AI assistant for institutional credit trading workflows.
- TARA uses Tradeweb data, Ai Price, TRACE data, and natural language queries to support bond traders.
- The launch shows AI moving into institutional market data, pricing, and trading workflow infrastructure.
Natural language tools tied to pricing, trade data, and workflow systems could change how institutional traders search markets, compare bonds, assess liquidity, and act on data inside regulated trading environments.
Payments And Market Infrastructure
Flutterwave Integrates Ripple Stablecoin Settlement Infrastructure
June 16, 2026, United States / Africa
- Ripple made a strategic investment in Flutterwave as part of Flutterwave’s Series E financing to accelerate stablecoin payments across African markets.
- The integration embeds RLUSD, Ripple Payments, and XRPL into Flutterwave’s payment infrastructure, including payment rails and Send App remittance corridors.
- Flutterwave says RLUSD will serve as a primary settlement asset, while XRPL will support faster clearing and a unified API will connect Flutterwave’s domestic network with Ripple Payments.
Stablecoins are being embedded directly into payment and remittance infrastructure. Payment firms, PSPs, remittance operators, banks, liquidity providers, and compliance teams should watch how regulated stablecoin settlement, API connectivity, and cross border liquidity become part of the operating stack for high volume regional payment networks.
Artificial Intelligence And Data
CMA Imposes Fair Ranking And Data Portability Rules On Google Search
June 17, 2026, United Kingdom
- The UK Competition and Markets Authority imposed fair ranking and data portability conduct requirements on Google’s general search and search advertising services.
- The action follows Google’s Oct. 10, 2025 designation as having Strategic Market Status in UK search and search advertising.
- The CMA had already imposed a publisher conduct requirement on June 3, 2026, making the June 17 requirements part of a wider operating rule set for search distribution.
Search is becoming regulated digital infrastructure. Publishers, fintechs, platforms, marketplaces, advertisers, AI search providers, and compliance teams should watch how ranking rules, data portability, publisher protections, and user choice requirements change discovery, distribution, and competition across search and AI enabled information access.
Digital Assets Blockchain And Tokenization
OCC Conditionally Approves Morgan Stanley Digital Trust
June 18, 2026, United States
- The OCC granted preliminary conditional approval for Morgan Stanley Digital Trust, National Association, a proposed national trust bank in Purchase, New York.
- The proposed trust bank would provide digital asset custody, fiduciary staking services, digital asset transfer activity and collateral administration for digital asset lending.
- The approval includes conditions covering business plan limits, future law compliance, OCC no objection requirements, capital, liquidity and senior officer approvals.
Institutional digital asset infrastructure is entering bank charter channels. Banks, custodians, wealth platforms, crypto firms and regulators should watch how national trust bank approvals shape custody, staking, lending support, capital requirements and supervisory expectations for digital asset services.
BitGo Europe Expands MiCAR Compliant Crypto As A Service Across The EEA
June 17, 2026, European Union / Germany
- BitGo Europe expanded its Crypto as a Service offering across the EEA through its MiCAR compliant infrastructure.
- The service targets virtual asset service providers facing the expiry of national VASP regimes and the transition to MiCAR requirements.
- BitGo says the offering supports custody, wallets, trading, settlement, and liquidity access through regulated infrastructure.
MiCAR is shifting crypto firms from fragmented national registrations toward regulated infrastructure choices. VASPs, exchanges, brokers, fintechs, custodians, and compliance teams should watch how licensing pressure turns custody, wallet services, settlement, liquidity, and operating controls into market access requirements across Europe.
Lending Consumer Credit And BNPL
Pagaya Closes Upsized $800M Personal Loan ABS Transaction
June 15, 2026, United States
- Pagaya closed an upsized $800M personal loan asset backed securitization transaction.
- Pagaya says its 2026 ABS issuance across personal and auto loans now exceeds $5.5B.
- The company says lifetime issuance has reached $40B across 91 ABS transactions.
AI linked lending platforms continue to connect consumer credit origination with capital markets distribution. Pagaya’s latest transaction shows how underwriting models, loan supply, securitization channels, and institutional demand are combining into repeatable credit infrastructure.
Regulation And Policy
OSFI Lowers Domestic Stability Buffer For Canada’s Largest Banks
June 19, 2026, Canada
- OSFI lowered the Domestic Stability Buffer for Canada’s domestic systemically important banks from 3.5% to 3.0%, effective immediately.
- Also lowered the DSB range from 0% to 4% to a new range of 0% to 3%.
- Capital cushion now equals about $74 billion, supporting up to $673 billion in risk weighted asset expansion capacity.
Canadian bank capital policy is shifting from maximum conservation toward controlled lending capacity. Banks, lenders, fintech partners, investors, and policymakers should watch how lower buffer requirements affect credit availability, capital planning, risk appetite, and competitive conditions across the financial system.
Canada Introduces Privacy Reform Bill With AI And Children’s Data Rules
June 16, 2026, Canada
- The federal government introduced private sector privacy reform legislation with new protections for children’s data.
- The bill includes deletion rights, transparency requirements for automated decisions, and guidance on surveillance pricing.
- The proposal would create a new privacy and consumer data commissioner, with fines of up to $10M or 3% of global revenue.
Canada is moving privacy, AI, consumer data, and platform accountability into the same regulatory agenda. Financial institutions, fintechs, AI vendors, data brokers, and digital platforms should watch how consent, deletion rights, automated decision transparency, children’s data protections, and guidance for onboarding, data use, AI and partnerships affect product design and data governance.
CFTC Seeks Input On Rules Affecting Fintech Innovation
June 16, 2026, United States
- The CFTC issued a Request for Information seeking public input on regulations, guidance, orders and staff practices that may unnecessarily impede innovation, including fintech partnerships and market participation.
- The review covers existing Commission rules, no action letters, advisory guidance and application processes that could be streamlined while continuing to meet the Commodity Exchange Act and customer protection objectives.
- Comments will help inform whether regulatory requirements should be updated, clarified or simplified to support innovation and more efficient market participation.
The review could affect how fintechs, derivatives firms and market infrastructure providers engage with US regulated markets. Firms should watch for changes that reduce unnecessary compliance friction while maintaining market integrity, customer protection and risk oversight.
Bank Of Canada Stress Tests Retail CBDC Impact On Canadian Banks
June 15, 2026, Canada
- Bank of Canada staff published a stress test paper on how a potential retail CBDC could affect Canadian DSIBs during a severe recession.
- The severe CBDC plus fintech scenario estimates $177B in retail deposit outflows, with banks replacing only about one third of lost deposits through alternative funding.
- The paper finds DSIBs remain above key regulatory ratios, but lending falls 5.5% versus a no CBDC stress scenario.
The useful evidence is the transmission channel, not a prediction that CBDC will launch. Digital money competition affects deposits, funding costs, liquidity treatment, lending capacity, and central bank balance sheet operations. Operators, founders, and investors should watch how CBDC, fintech deposits, stablecoins, and payment infrastructure reforms change competition for bank funding.
Conclusion
The week's strongest market and regulatory signals weren't new products. They were changes to the infrastructure underneath financial markets. Bank capital rules, prediction market access, stablecoin rails, and compute markets all point to the same outcome. Firms that control access, distribution, liquidity, and critical infrastructure may increasingly determine who can compete and who cannot.
NCFA offers various curated resources to help founders and investors stay current on developments that impact fintech markets, subscribe to NCFA weekly newsletter updates, view the latest fintech insights, industry research, or launch into emerging financial innovation opportunities.
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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Bank Of Canada Framework For Measuring The AI Economy
June 19, 2026 | NCFA Resource | Artificial Intelligence And Data
Why Rapid AI Growth May Be Missing From Traditional Economic Statistics
On June 18, 2026, the Bank of Canada published Measuring the AI Economy, a staff working paper by Anton Korinek and Patrick McKelvey. The paper examines whether traditional economic statistics can properly capture AI production, compute growth, model training, inference output, and the value being created inside the AI economy.
The paper argues that AI activity is difficult to see through standard GDP categories because it is spread across cloud computing, software, professional services, data centres, chips, electricity, and model development. That makes AI look smaller in official statistics than it may be in production capacity.
What It Does In Practice
The research builds a first macroeconomic estimate of US AI production from 2023 to 2025. It starts with compute as the core input, generated from AI chips, data centre capacity, and electricity. That compute is then split between inference and training.
Inference produces AI outputs used across the economy. Training creates model capital, which the authors treat as an intangible asset that improves future AI output.
The headline numbers are large. The authors estimate that nominal AI compute spending grew from $36.92B in 2023 to $90.46B in 2024 and $219.17B in 2025. That implies annual growth of about 145% in 2024 and 142.3% in 2025.
Physical compute output grew faster, rising about 211.9% in 2024 and 213.9% in 2025. After quality adjustments, the paper estimates AI production growth above 2,000% per year. Its early AI GDP framework estimates real AI GDP growth of about 2,600% in 2024 and 2,658% in 2025.
The authors are careful about the limits. These aren't official GDP statistics. The framework relies on strong assumptions, limited data, and uncertainty about how benchmark performance turns into economic value.
Who Gets Value
This resource is useful for fintech founders, AI companies, policy teams, investors, economists, regulators, data centre operators, infrastructure investors, and anyone tracking how AI affects productivity, capital allocation, labour markets, and public policy.
It is especially relevant for teams working on AI infrastructure, compute markets, AI governance, productivity measurement, model economics, and public sector digital strategy.
Strengths And Limits
The strength of the paper is its measurement lens. It doesn't treat AI as a single software category. It treats AI production as a system built from chips, power, data centres, inference, training, and model capital. That connects directly to the market question of pricing access to scarce AI capacity.
That's valuable for NCFA readers because compute is becoming an economic input, not just a technical resource. If compute markets, energy access, chip supply, and model efficiency determine AI output, then AI policy and AI competition cannot be separated from infrastructure.
The paper also gives policymakers a warning. If official statistics do not capture AI capacity early enough, fiscal planning, productivity analysis, tax policy, and monetary policy may be working with incomplete information. The same measurement issue shows up in central bank operations, where the Bank of Canada has already examined AI adoption in central banking.
The limit is uncertainty. The authors don't claim to replace GDP. They propose a measurement framework that can support future AI satellite accounts and better statistical infrastructure.
Key Resources
Bank Of Canada Measuring The AI Economy (primary Bank of Canada working paper)
AI Agents Enter Governed Financial Workflows (AI governance and operations)
AI Risk Taxonomy For Audits And Controls (AI risk classification)
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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How Fraud Broke The Old Rules Of Trust And Verification
June 16, 2026 | NCFA Story Intelligence | Fraud, Cybersecurity And Trust
AI Clones, Biometric Risk, Faster Payments And The Fight To Prove What Is Real
The phone rings. Many people no longer answer.
Not because they’re too busy. Because they’re not sure who is calling, what’s real, or whether the message is safe to trust. That small behaviour change tells a bigger story about finance, fraud, identity, and technology.
For years, financial trust relied on familiar signals: a voice, a face, a password, a bank name, a phone number, a regulator, a delay before money moved. AI clones, biometric breaches, deepfakes, cyberattacks, weak AML controls, and faster payments are now breaking those signals at the same time.
Financial trust used to have more time. Branch visits, paper signatures, settlement delays, call centre checks, account holds, and human review gave institutions more room to spot problems before money moved too far. The system was slower, but that slowness created time to verify.
Consumers learned to trust familiar signals. A bank logo felt official. A caller who knew account details sounded credible. A voice sounded personal. A password felt private. Those signals were never perfect, but they worked well enough when fraud was slower, less automated, and easier to recognize.
Online finance moved trust away from the branch. Banking, investing, lending, crypto, payments, and onboarding shifted into screens and apps. That created better access and faster service, but it also made customers depend on passwords, text codes, device checks, email links, and remote identity tools.
Fraudsters followed the customer online. Phishing, fake websites, account takeover, crypto wallet scams, approval phishing, QR abuse, and spoofed support channels made digital convenience feel less certain. Operation Avalanche showed how coordinated fraud response is becoming part of the market.
Voice used to feel personal. Then AI cloning made it copyable. Cloned voices bypassed Voice ID tests at Santander and Halifax, exposing weakness in systems that treated a voice as a reliable authentication signal.1
The scam no longer has to sound like a scam. A cloned voice can sound calm, familiar, urgent, or official. That changes the risk for banks, call centres, families, executives, seniors, and anyone asked to approve a transfer or share information after hearing a voice they think they know.
Biometrics raise the stakes because they cannot be replaced easily. A major India breach exposed fingerprints, facial scans, and sensitive records tied to police officers and applicants.2 A password can be reset. A fingerprint can’t.
Fintech products increasingly depend on biometric convenience. Face ID, Touch ID, palm payment, device based onboarding, and selfie checks reduce friction. They can also concentrate risk if biometric templates, face scans, or identity documents are stored poorly or exposed through vendors.
Deepfakes make fraud feel human. Deepfake scams have used AI generated voices, fake identities, digital banks, and crypto rails to trick victims and move funds quickly.3
AI makes deception cheaper to personalize. Fraudsters can imitate an executive, a family member, a bank employee, a support agent, or an investment promoter. The scam can be written better, timed better, targeted better, and delivered through channels that look more legitimate than old phishing emails.
Faster money gives fraud less time to fail. Real Time Rail, instant payments, request to pay, and faster settlement can improve cash flow and customer experience. They also shrink the window for fraud teams to stop a bad payment before it settles.
Fraud controls become part of the payment product. Real Time Rail analysis connects instant payments with centralized fraud capability, payment finality, and trust.4 Faster money only works if participants believe the system can manage faster mistakes.
Institutions are not only defenders. They are targets. CIRO confirmed approximately 750,000 Canadian investors were affected by a cybersecurity incident after a 9,000 hour forensic review.5 When regulated bodies are breached, trust damage extends beyond one account.
Third party systems can carry hidden risk. SaaS vendors can create concentration risk across fintech and financial services. A startup may inherit risk through a vendor, API, data processor, onboarding tool, cloud provider, or fraud vendor it does not fully control.
AML failure shows how controls can become business risk. TD’s more than $3 billion US AML penalty and leadership fallout showed how weak controls can limit strategy, growth, reputation, and trust.6
Canada is trying to organize the response. Canada’s first National Anti Fraud Strategy and Financial Crimes Agency push point toward more public and private collaboration on cyber risk, data sharing, and proceeds of crime recovery.7
Fraud didn’t break trust all at once. It weakened the signals people and institutions used to verify reality. The phone call. The voice. The face. The fingerprint. The login. The bank name. The official looking message. The settlement delay. The regulated institution. Each one still matters, but none can carry trust on its own anymore.
That’s the hard part for financial innovation. Canada is moving toward faster payments, consumer driven banking, digital identity discussions, AI adoption, crypto market controls, and more automated financial services. None of those systems succeed simply because they’re fast or digital. They succeed because people trust what they’re seeing, hearing, approving, and authorizing.
What Happens Next?
- Will banks and fintechs find better ways to prove what is real without making financial services harder to use?
- Will AI fraud detection improve faster than AI enabled scams?
- Will voice, face, fingerprint, and device signals become supporting evidence instead of standalone proof?
- Will faster payments force stronger verification before money moves?
- Will consumers regain trust in calls, messages, links, and alerts from financial institutions?
- Can Canada build fraud intelligence sharing that protects consumers without weakening privacy?
What Did You Think?
What trust signal do you question now that you wouldn’t have questioned five years ago?
Share this story → Explore related intelligence → Subscribe
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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