Karsten Wenzlaff, Advisor
August 26th, 2025
AI | Nov 13, 2025

In October 2025, the Center for Security and Emerging Technology (CSET) released a report called, "The Mechanisms of AI Harm", that breaks down how artificial intelligence can cause harm through predictable pathways. The study found that most failures stem not from malicious use but from system design, biased data, and weak oversight.
CSET warns that as AI systems spread through banking, healthcare, and infrastructure, the harm becomes self-reinforcing. Each model learns from the last, compounding flaws over time. The problem is not bad actors but feedback loops that quietly scale risk. Governance is lagging behind by years, while the pace of model deployment grows monthly.
In Detroit, a police facial recognition system wrongly identified Robert Williams, leading to a false arrest that eroded public trust in the technology meant to improve safety.
An MIT article found that error rates for darker-skinned women reached 34% compared with less than 1 % for lighter-skinned men. These disparities reveal structural bias baked into training data and feedback systems.
Across Europe, the EU AI Act now treats such failures as foreseeable harms requiring traceability and documentation.
In the United States, federal regulators have begun enforcement actions against companies using opaque algorithmic decisions.
Canada’s proposed Artificial Intelligence and Data Act (AIDA) remains under parliamentary review and was impacted by prorogation in January 2025, leaving gaps between good intentions and enforceability, read the death of AIDA. Policymakers now are debating how AI accountability should evolve.
Many Canadian financial institutions already use machine learning to underwrite credit, detect fraud, and screen clients. Yet few publicly document how models are tested for bias or explainability. The Office of the Superintendent of Financial Institutions (OSFI) Guideline E-23 on Model Risk Management (2027) outlines how financial institutions should govern advanced analytics and AI models, including validation, bias testing, and accountability expectations, but without enforcement the framework still relies on internal discretion.
Regulators acknowledge the need for governance but lack consistent mechanisms to test, benchmark, or verify models across industries. The result is a patchwork system where AI tools can operate with little external visibility. Each institution assumes its safeguards are sufficient, even though no one has a full view of the risk landscape.
CSET’s model shows harm accumulates when oversight is fragmented. A 2024 OSFI-FCAC Risk Report on AI Uses and Risks at Federally Regulated Financial Institutions found that many financial institutions rely on third-party AI systems without full audit access or validation rights, which means models can change without regulators or even clients knowing. These dependencies create silent risk channels within the financial ecosystem.
And in Europe, a Europol “Facing reality? Law enforcement and the challenge of deepfakes” report cautions that deep-fake technology is proliferating rapidly and posing new risks for fraud, misinformation, and market manipulation. Each failure feeds the next, so it creates a feedback loop of risk spreading across jurisdictions and markets.
Regulators and financial institutions have a limited window to close the governance gap before public trust erodes. The real challenge is not whether to slow innovation, but how to steer it responsibly. CSET’s findings suggest that effective AI governance must protect stakeholders while allowing systems to improve and scale safely. Overregulation can push innovation into unregulated spaces, but weak oversight leaves markets exposed to preventable harm.
CSET’s framework shows that AI harm grows from feedback loops where technical design, human behaviour, and oversight interact. Preventing harm means building governance that evolves at the same pace as the systems it regulates. The question is not whether AI will cause harm, but whether leaders will move fast enough to limit it. Accountability cannot be automated. It must be led.
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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Policy | Nov 11, 2025

Image: Relative labour productivity Canada vs US (Source: CSLS 2025)
The Centre for the Study of Living Standards released a November 2025 report titled, "Can a Lack of Pro-Productivity Policies Explain the Secular Decline in Canada’s Productivity Growth?", outlining why Canada’s productivity growth has stalled even as macroeconomic policy remains stable. The study finds that steps in the 2025 federal budget while positive, will not by themselves reverse the long slowdown. The authors argue that deeper structural change is needed to rebuild the foundations of business investment and innovation in Canada.
The report traces much of the post 2015 slowdown to long term structural and global factors that are as a result of how past policy choices influenced business behaviour. Verified causes that reduced the total investment per worker and limited productivity even as macro conditions stayed the same include:
Evidence from major institutions supports this view. The analysis in the OECD 2025 Economic Survey of Canada and the IMF 2024 Article IV consultation finds that Canada’s productivity gap reflects long standing frameworks that influence how firms invest and compete. These findings show that the challenge is structural, a long term misalignment between national policy intent and firm level behaviour.
The recently announced Budget 2025 aims to address parts of Canada's productivity, innovation and competition gaps. It includes improvements to the Scientific Research and Experimental Development program by increasing the annual expenditure limit for the enhanced credit to $6 million, restoring eligibility for capital expenditures, and extending eligibility to Canadian public corporations. These measures target investment in intangible assets and innovation, the areas identified as weak.
The budget also commits over $1 billion in resources over five years for AI compute and quantum computing while proposing a TechStat program to track technology adoption, as described in the digital infrastructure plan.
Finally, the budget also advances open banking and stablecoin rules that can improve competition and trust.
Productivity growth depends on what happens inside firms, how they invest, adopt technology, and organize production. Canada’s frameworks have been stable but haven't created strong enough conditions for private reinvestment in digital and intangible assets.
When policy creates the right incentives and financial infrastructure removes friction, investment decisions shift. That alignment between public objectives and private behaviour is where lasting productivity growth emerges.
Canada’s weakness lies in underinvestment in intangible assets such as software, data, intellectual property, and organizational know how. Past tools have not reversed this pattern and Canada needs to reward reinvestment in intangible and digital assets. NCFA has argued for tax credits that mobilize private capital for innovation for years including in an open letter to government during the COVID 19 pandemic, urging government to collaborate with fintechs while proposing investment tax credits to crowd in private capital.
The United Kingdom’s Enterprise Investment Scheme (EIS) offers a clear example of how targeted tax relief can mobilize private capital into early-stage ventures. Since its launch in 1994, the EIS has attracted over £30 billion of private investment into more than 53,000 small and growing companies, according to HM Revenue & Customs.
The EIS program provides individual investors with income tax relief of up to 30% on investments in qualifying startups, along with capital gains deferrals. Analysts credit it with strengthening the UK’s innovation ecosystem and building one of the world’s most active early-stage funding markets.
Reducing interprovincial barriers and boosting competition are valuable but not sufficient on their own. The next step is to modernize how policy and firm level decisions connect. Fintechs can help turn policy into practice by improving access to capital, ensuring reliable and interoperable data, and scaling innovation across the economy. That's how Canada can turn structural reform into more practical and realized productivity gains.
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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Fintech | Oct 28, 2025

Image: Freepik/starline
On October 23, 2025, Deloitte Canada released its annual 2025 Technology Fast 50 rankings, recognizing the country’s fastest growing innovators based on verified three-year revenue growth from companies that self-submitted their data for evaluation. The program celebrates excellence across technology, media, and telecommunications sectors, including fintech, AI, clean technology, software, and cybersecurity.
Calgary-based Neo Financial achieved the first ever three-peat by ranking first in the Enterprise Industry Leaders category three years in a row, with an outstanding 1,279% growth, providing credit cards, everyday accounts, high interest savings accounts (HISA) and mortgages to over one million Canadian clients.
Andrew Chau, CEO & Co-Founder, Neo Financial:
"While we didn't get into this business for the awards, this recognition serves as yet another example of the need for modern, rewarding financial experiences among Canadians. It's something legacy institutions have failed to deliver for far too long. We're focused on building financial products that actually help Canadians get ahead. In the last year alone, Neo has saved Canadians more than $110 million in fees, showing what's possible when financial products are designed to give Canadians more, not take more."
The 2025 results highlight how fintech, automation, and AI are powering Canada’s innovation economy. NCFA congratulates all of this year’s Fast 50 winners and invites readers to explore the breakdown of fintech and AI leaders featured in Deloitte’s report below. Together, these companies represent the innovative edge of Canada’s fintech and AI economy, and are at the forefront of technology, talent, and trust as they continue to drive financial innovation.
Recognizes Canada’s fastest-growing technology firms by three-year revenue growth.
| Company | Rank | Growth % | Overview |
|---|---|---|---|
| CapIntel | 2 | 9,255% | Wealth technology helping advisors deliver better investment presentations. |
| Float | 9 | 5,601% | Fintech offering corporate cards and spend management tools. |
| Relay | 12 | 4,257% | Business banking platform providing cash visibility and team controls. |
| nesto | 13 | 4,074% | Digital mortgage lender offering fully online approvals and funding. |
| Novisto | 15 | 2,910% | ESG data and reporting software for companies and investors. |
| ZayZoon | 22 | 1,487% | Earned wage access provider improving employee financial wellness. |
| Apaylo | 37 | 648% | Payments infrastructure offering EFT, wires, and business banking rails. |
| Flare | 38 | 639% | Cybersecurity platform monitoring and reducing digital exposure risk. |
| Zensurance | 41 | 601% | Online insurance brokerage simplifying coverage for small businesses. |
| Forma.ai | 44 | 573% | AI-driven automation for sales compensation and performance planning. |
| Conquest Planning | 46 | 542% | AI financial planning platform for advisors and institutions. |
| BOXX Insurance | 49 | 512% | Cyber insurance provider combining coverage with digital risk tools. |
| OWL.CO | 50 | 499% | AI analytics for insurers to detect fraud and improve risk decisions. |
Celebrates large technology companies demonstrating strong three-year growth in revenue and scale.
| Company | Rank | Growth % | Overview |
|---|---|---|---|
| Neo Financial | 1 | 1,279% | Consumer banking platform with credit cards, savings, and mortgages. |
| KOHO | 2 | 559% | Everyday banking alternative with prepaid credit, savings, and credit build. |
| Financeit | 4 | 355% | Point-of-sale financing that helps merchants offer installment plans. |
| Lightspeed | 6 | 318% | Commerce platform for retailers and restaurants with embedded payments. |
| Hopper | 9 | 282% | Travel marketplace with fintech products that reduce price risk for users. |
| Propel Holdings | 10 | 279% | Public fintech that provides credit access through digital channels. |
| Clutch | 12 | 266% | Online auto platform with financing options at checkout. |
Highlights high-growth emerging firms on track for future Fast 50 placement.
| Company | Rank | Growth % | Overview |
|---|---|---|---|
| Optable | 5 | 761% | Privacy-first data clean room that enables secure audience collaboration. |
| FundMore | 6 | 708% | AI mortgage platform that automates underwriting and decisioning. |
| Quandri | 8 | 664% | Automation software that removes repetitive work for insurance agencies. |
| WonderFi | 9 | 535% | Crypto company operating regulated Canadian digital asset exchanges. |
And in connecting with the FundMore team, they are incredibly proud of their work and mission to help lenders fund more, faster. Chris Grimes, CEO FundMore said (Listen: Fintech Fridays EP43: Taking the Mortgage Process From 40 Days to Minutes):
“This recognition reflects the tireless work of our entire team and our mission to help lenders fund more, faster. I couldn’t be prouder of what we’ve built, and where we’re headed."
The 2025 Deloitte Fast 50 results confirm that fintech and AI are no longer niche parts of Canada’s economy. They're defining the future. Neo Financial’s three-peat historical achievement, alongside high growth companies such as CapIntel, KOHO, Float, FundMore, and WonderFi are building financial systems that are more efficient, inclusive, and globally competitive.
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 aa 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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AI | Oct 22, 2025
Image: Freepik/rawpixel.com
On October 13 2025, the Economist ran a story 'Can AI replace junior workers?' that analyzed a total of 300,000 companies and found that firms adopting AI hired 7.7% fewer junior employees over six quarters compared with non adopters. These research findings came from a Harvard SSRN study by Seyed Hosseini and Guy Lichtinger, who tracked the introduction of AI integrator roles across a subset of 10,600 of these firms. They found that while senior hiring remained flat, most declines came from reduced job postings rather than layoffs.
In a different study by the Yale Budget Lab review, 'Evaluating the impact of AI on the labour market', found that since 2022 the overall mix of jobs hasn’t changed much yet. Their data also revealed that AI’s effects are starting to appear inside companies now but they haven't yet shown up in national reports.
In Canada, the same early signs are visible. The Future Skills Centre found in 2025 that about half of Canadian workers hold jobs with high AI exposure, and that postings for automatable roles have fallen since 2022. (see: Right Brain Left Brain AI Brain). Statistics Canada’s September 2025 update showed youth unemployment at 14.7%, the highest rate since 2010 excluding pandemic years.
Demand for AI capability is climbing fast though. PwC’s 2025 AI Jobs Barometer found that job postings requiring AI skills made up 1.8% of all listings in Canada in 2024, the highest level recorded. Globally, PwC reported that workers with AI skills now earn a 56% wage premium. Lightcast data confirmed that postings asking for generative AI skills grew from 55 in January 2021 to nearly 10,000 by May 2025.
In 2023, IBM announced a hiring pause for administrative positions likely to be automated, estimating that about 7,800 jobs could eventually be replaced. Two years later by 2025, IBM’s chief executive said that hundreds of jobs had already been automated but new programming and sales roles were added to manage and improve AI systems (read: costs). These new positions required higher pay and technical skill, meaning that overall labour costs rose even as headcount stayed about the same.
PwC’s 2025 report described 4x increase in productivity but increased sending on advanced human oversight due to the specialized staff required to operate and oversee (rather than removing human involvement completely).
The first jobs being cut are entry level analytical roles that once helped graduates learn on the job and grow into future innovators. Without those opportunities, companies risk gaps in the talent pipeline that sustains innovation and good governance.
Among those entry level roles, mid-tier graduates are being hit hardest. They aren't highly specialized enough to keep, and not low enough cost to retain. Data from Harvard and Yale show the same pattern now appearing in Canada’s banking and software sectors, where AI can handle document review and code debugging but not creative or complex work.
Canada’s rate of AI adoption is still lower than in the United States, but the same pressures are starting to appear. Companies that don’t build structured training and mentoring around AI now will likely face skill shortages and higher rehiring costs later.
Harvard data show a 7.7% drop in junior hiring at companies that adopt AI. IBM’s experience confirms that after automating 7,800 jobs, it had to rehire more expensive employees for oversight and compliance work.
Youth unemployment has reached 14.7%, the highest since 2010 outside the pandemic. The first jobs being reduced are early analytical roles that once gave graduates the training and judgment to move into leadership positions.
Among the junior jobs being lost, graduates from mid-tier universities are at the most risk. Their work is often routine enough to automate but not low-cost enough to retain, leaving a growing gap in Canada’s talent base.
PwC found that employees with AI skills earn 56% more on average, but only 1.8% of job postings in Canada mention these skills. Fintechs that start training programs now can close that gap and strengthen their competitive edge.
AI is changing how companies build their workforce, not just how they cut costs. The data show that when junior jobs disappear, the long-term cost is a weaker talent pipeline and higher spending to rebuild skills later. Investing in AI training, early-career development, and responsible oversight will pay off later in productivity and help drive competitiveness.
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 aa 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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