Karsten Wenzlaff, Advisor
August 26th, 2025
Mar 23, 2026 | NCFA Insight | Capital Markets And Regulation

On Mar 22, 2026, a jury verdict found that Elon Musk's public tweets during the 2022 Twitter takeover fight misled investors. The jury didn't find an intentional fraud scheme, but the plaintiff's lawyers said damages total about $2.6B. The verdict puts more weight behind a growing problem that fintech founders, platforms, and financial brands already face every day. A high profile post can move money before anyone inside the firm has time to slow it down.
The verdict doesn't mean Musk is on the hook for writing a $2.6B cheque (just yet). The jury found liability on specific statements, and the estimated damages reflects the plaintiffs’ claim based on investor losses during the period in question. The final amount still depends on post trial motions and potential appeals. That process can take time and could change the outcome.
The reality is finance no longer only runs through filings, earnings calls, and official statements. It's found it's way to X posts, podcasts, YouTube clips, founder interviews, affiliate campaigns, and finfluencer content. Markets now react to all of it. Investors don't stop to verify if a message came from investor relations, legal, or a even a founder’s phone. They see a statement, they price it in, and capital follows.
The same pressure is already building in Canada. NCFA has been tracking how regulators are tightening expectations around online financial promotion, including new guidance on digital investing content and supervision and increasing enforcement around undisclosed promotion. The direction is consistent. Online influence is now being monitored and part of the regulatory perimeter.
Why? Investor behaviour has already changed. Research cited in Canadian retail investor trends on social media shows that 53% of investors use social platforms for investment information, rising to 82% among those aged 18 to 24. It also shows that 35% have acted on that content.
That means there's no question that online content affects markets. The issue now is control. Who reviews what gets said, and how quickly the firm can step in before a post starts affecting investors.
Many fintech firms still treat public communication as a branding issue first and a control issue second. A founder post about a funding round, a growth number, a partnership, a token plan, or a future launch can change expectations long before the business is ready to support the claim. In public markets that creates obvious exposure. In private markets it can still distort trust, fundraising, customer decisions, and partner behaviour.
Top firms will respond to these realities by tightening how they handle high impact communication. They'll get sharper, not quiet. They will know which claims need evidence, which messages need review, and which topics should never go out in casual language. And they'll stop pretending that online distribution isn't a compliance item just because it feels informal or fast.
A jury has now linked informal public statements to investor harm in a way that carries financial consequences. That raises the standard for how founders, executives, and financial brands handle any communication that can influence investor decisions.
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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March 23, 2026 | NCFA Insight | AI Governance And Data Sovereignty

On March 22, 2026, the Guardian reported that UK Financial Conduct Authority has hired US firm Palantir for a three month trial worth more than £30,000 a week to analyze its intelligence data lake. The reported scope includes highly sensitive material tied to fraud, money laundering, insider trading, case files, suspected wrongdoing reports, and consumer complaints. It's a significant AI governance and privacy risk given that the FCA regulates around 42,000 businesses across the UK's financial ecosystem.
Palantir is a US based data and analytics company that builds software platforms used by governments, intelligence agencies, and financial institutions to organize and analyze large, sensitive datasets. Its systems combine data integration with artificial intelligence and machine learning tools, which allows users to run complex analysis across entire data environments. That capability makes it effective for regulatory and investigative work, and also places it at the centre of ongoing concerns about data access, oversight, and reliance on external vendors in critical public systems.
The FCA has stated that Palantir acts only as a processor, the data stays hosted in the UK, the data cannot be used to train Palantir systems, encryption keys for the most sensitive files stay with the FCA, and the data must be destroyed at the end of the contract. These are all good safeguards but that doesn't end the debate.
The real question is whether a regulator should give a foreign AI operator working access to one of its most sensitive data environments.
The FCA wants better tools to detect financial crime across a very large supervisory perimeter. However, the concern is that once a foreign vendor obtains access to a highly sensitive operating environment, the public risk grows beyond just legal ownership of the data. What happens if controls fail beyond what the contract itself governs?
If a system ingests more than expected, if metadata creates a wider intelligence layer than planned, if privileges become too powerful, or if future use expands beyond the original trial, the exposure can widen even when formal safeguards remain in place. While none of this proves failure it does highlight why sensitive AI contracts and said deployments need much closer scrutiny than standard software procurement.
The trial is short, the weekly cost is disclosed in reporting, the data environment is sensitive, and the FCA says it has placed strict limits on processor role, hosting, training use, encryption control, and deletion. A second report on the FCA Planatir deal indicates the trial is designed to test whether advanced analytics an improve fraud detection, AML/KYC procedures, and insider training within the scope of firms the FCA supervised. But most already concur that AI, if given enough data, can perform small miracles compared to current data tools.
So the harder policy question becomes are the current safeguards enough when the downside of failure is so high, and the data risk in question is a primary financial services regulator, and not a low sensitivity pilot?
Many jurisdictions now rely on a small number of leading foreign AI and cloud firms to quickly integrate, operate, and scale advanced systems. Once workflows, analytics, procurement, and staff capability start to rest on a handful of outside platforms, exiting becomes more difficult due to dependence.
A country can keep data local and still lose practical control if key capability depends on foreign firms for models, compute, software layers, and operational support. This is why the question is bigger than privacy alone. It reaches into resilience, sovereignty, and the future of digital public infrastructure.
Europe is addressing this problem with both law and capacity. The EU AI Act already sets binding rules for higher risk AI use, while the EU’s wider strategy ties AI policy to competitiveness and technological sovereignty. The question in Europe is no longer whether to regulate AI. It is how to enforce those rules while building enough domestic capacity to avoid overdependence on foreign providers.
Canada isn't yet at Europe’s stage. Ottawa still leans on privacy law, sector rules, and evolving AI policy rather than a fully enacted economy wide AI framework. It is progressing more directly on capability, though. The Canadian Sovereign AI Compute Strategy makes clear that domestic control over compute and data infrastructure is a matter of national security and economic resilience issue, not only an industry growth objective.
That concern is already visible in Canadian data. In Canada AI Strategy Confronts Capital Flight, federal consultation inputs point to risks around sovereign capital, procurement, domestic IP retention, and keeping more AI value inside Canada. Also, the acceleration of AI deployments is exposing AI Governance Gaps that many legal experts have flagged.
The FCA Planatir contact creates at least five questions Canadian policymakers should ask early.
The AI race isn't just about who deploys and adopts first. It's also about who keeps control over sensitive data, institutional leverage, and critical digital infrastructure while deploying.
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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Mar 23, 2026 | NCFA Insight | AI Policy And Regulation

On Mar 20 2026, the White House released a national AI policy framework and legislative recommendations that asks Congress to build a single federal approach to AI and limit conflicting state laws. Washington looks to reduce regulatory fragmentation before state level AI rules harden into a patchwork. The framework isn't law but a blueprint for Congress to show where U.S. AI policy is heading and what type of rules the White House thinks are needed to support large scale use of artificial intelligence across the economy.
The document argues that state by state AI rules can impose uneven burdens on firms trying to build and deploy AI systems nationally. The White House position is that Congress should set the main framework and stop conflicting state rules from slowing deployment. At this point, it's less about creating a new AI regulator and more about stopping fifty different rulebooks from becoming the default U.S. model.
The framework highlights six areas: child protection, energy and electricity costs, intellectual property, free expression, public education and workforce readiness, and maintaining U.S. leadership in AI.
Policymakers want to lower friction for deployment while demonstrating that safety and public concerns are still being addressed. It's a delicate balance because it tells the market what the White House sees as the main tradeoff. The focus is not on building a heavy new AI rule set, but rather on enabling scale, lowering infrastructure bottlenecks, and avoiding fragmented oversight.
AI is already proliferating across lending, fraud detection, compliance, payments, customer operations, and model driven decisioning. A patchwork of state by state compliance would raise cost, slow deployment, and make national rollout harder for both incumbents and startups.
A single federal framework wouldn't solve every issue. Questions around accountability, model assurance, liability, and sector specific supervision would still remain. But it would remove a major barrier by making it easier to roll out AI across the United States.
The U.S. approach is mainly about fragmentation. The White House wants one national frame instead of competing state level rules.
The UK conversation is more operational. The FCA’s Mills Review asks how AI could impact retail financial services through 2030 and beyond. Industry responses focus more directly on deployment barriers inside finance, including data access, Digital ID, payments infrastructure, and rulebook friction.
Canada is taking a broader path. The federal government’s AI strategy process gathered input from more than 11,000 Canadians and 28 task force members, with stronger emphasis on trust, safety, responsible adoption, and national direction. NCFA has already flagged the execution risk in this approach in its analysis of Canada’s AI strategy and capital flight risk.
The difference is important. The U.S. is trying to stop fragmentation. The UK is pressing on execution barriers. Canada is still nuturing national direction. Each approach points to a different policy priority and will result in a different speed of deployment and potential competitive advantage (or disadvantage).
Jurisdictions that reduce friction and create usable operating environments will attract more investment, deployment, and talent. Jurisdictions that let regulatory complexity pile up will throttle adoption even when the technology is ready.
The White House's AI policy framework makes the federal direction clearer. The U.S. is trying to stop state level fragmentation before it becomes the default AI regime. It's important for fintechs and financial services because the level of scale, cost, and deployment speed depends heavily on whether one federal rulebook replaces fifty competing ones.
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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Mar 19, 2026 | NCFA Feature | AI Finance Policy

On Jan 27 2026, the UK Financial Conduct Authority launched the Mills Review into the long term impact of AI on retail financial services to examine how AI could reshape consumers, firms, markets, and regulation through to 2030. NCFA flagged the review earlier in NCFA Weekly Fintech Intelligence Jan 24-30, 2026.
On Mar 4 2026, Innovate Finance submitted its response to the Mills Review, setting out where the UK fintech industry believes deployment will stall unless policy and infrastructure move faster. The paper cites Bank of England and FCA data showing 75% of firms now use AI, up from 58% in 2022. The issue is no longer whether AI adoption will happen. It is what still blocks firms from using AI inside live financial workflows at scale.
AI is clearly evolving from chatbot assistance to execution at scale. The submission describes AI agentic systems that can act on behalf of users. One example is an AI bot that handles everything from comparing mortgage deals to submitting the application and coordinating with conveyancers under user permission.
The value is no longer only in the model itself (ie. speed, quality, cost, expertise), but rather the full operational chain from customer permission to data access to execution to payment. That's why industry is focused on a stacked layer of tech solutions from Open Finance and Digital ID to payment access and rulebook friction to ensure AI can fully complete financial tasks.
The same logic applies to industry concerns over gatekeepers. As AI agents begin to initiate and route transactions, control moves to the layer that connects the agent to the payment method and the financial product. If that layer becomes concentrated, a small number of providers can influence access, routing, and competition.
The response uses real commercial examples and market data, highlighting that AI in finance is already underwriting, trading, core banking, and compliance.
The next phase isn't whether or not firms can build AI tools. It is whether regulation and infrastructure will allow them to use those tools in broader customer and transaction flows.
The stronger points made is that AI in finance won't scale on model quality alone. It will however scale on the stack around the model. That means smart data, Open Finance, Digital ID, fraud data sharing, wallet infrastructure, and payment access. Without those layers, AI stays stuck in narrow support roles. With them, it can move into lending, advice, payments, and automated execution.
That is why the response is more useful than another generic values and ethics based AI policy statement. It identifies where deployment slows, where control could become concentrated, and what has to move together if the UK wants AI to scale significantly inside financial services.
Canada is also building its next AI strategy. The federal government launched an AI Strategy Task Force in September 2025 as part of a 30 day national sprint, and later said it heard from more than 11,000 Canadians and 28 task force members. The Canadian process is broad. It is focused on national AI leadership, trust, safety, adoption, and public interest.
That broad approach is already raising execution questions. NCFA covered this earlier in its analysis of Canada’s AI strategy and capital flight risk, which argued that deployment, investment, and commercialization need clearer direction.
The UK industry response to the Mills Review is more targeted. It focuses on what is blocking AI deployment inside financial services today. Open Finance, Digital ID, payment access, wallets, third party model assurance, and rulebook friction sit at the center of that response.
Canada is still discussing the national direction of AI while UK fintech industry is already laying out what has to change for AI to work inside live financial workflows. The lesson for Canada is straightforward. AI policy cannot move on its own. Open Finance, Digital ID, wallet policy, payments modernization, and data access frameworks need to move with it or adoption in regulated finance will stay limited.
There is also a market structure lesson. If agent led payments grow, whoever controls the interface between the agent, the wallet, and the payment rail can control distribution. Policymakers who want competition and innovation to hold need to keep that layer open.
The industry response to the Mills Review is not just a call for clearer AI rules. It argues that the next barrier sits outside the model. Data access, identity, payments, and regulatory clarity now decide whether AI in finance stays at the support layer or moves into execution. The firms and jurisdictions that solve those bottlenecks will have the advantage.
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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Mar 18, 2026 | NCFA Fintech Market Insight | Payments And Consumer Finance And Tax

On Mar 17 2026, H&R Block Canada revealed tipping survey results putting new numbers behind a growing consumer reaction to tip prompts at checkout. Two thirds of Canadians or 67% say Canada should abolish tipping culture. Another 93% say they feel annoyed when a card machine prompts for a tip in places where tipping was not previously expected, and 89% say tipping is out of hand and is applied to goods and services they do not think warrant tipping.
This backlash isn't just frustration. It's now changing behaviour and pushing customers away.
The survey also connects tipping culture to tax and compliance.
H&R Block’s 2025 survey found 84% of Canadians know tips are taxable income, but 47% assume people are not declaring all tips. The evolution from paying/receiving cash tips to digital tips changes how income shows up for tax purposes, especially when tips flow through employers and platform operators.
Digital tipping changes the paper trail. When tips move through a card terminal or POS system and the business pays them out through payroll, the tip can show up like other income on a paycheque, with deductions such as tax, EI, or CPP applied before the employee receives it and then reflected on tax slips. That is different from cash tips left on a table, where the worker has to track and report them. Gig work is different again. Even when an app collects tips and passes them on, gig workers are often treated as self employed, so they still have to report the full amount themselves at tax time.
This is a payments design problem that's now hitting brand trust. The tip prompt is part of the checkout experience, and the checkout experience is increasingly built and configured through payment processors, point of sale providers, and embedded finance stacks. When consumers feel pressured, they blame the merchant, but they also blame the payment flow. The numbers show that tip prompts can create real revenue risk for merchants if 41% of customers are willing to avoid tip pushing businesses.
For fintechs selling point of sale and payment tools, this is an opening to compete on trust and customer experience. Firms that give merchants better controls, clearer disclosure, and safer defaults can reduce backlash while still supporting gratuities where they make sense.
Fintechs that serve gig platforms (or merchants) can help by making tip reporting clearer in worker dashboards and by separating tip flows in a way that matches how income is treated.
Merchants will tune tip prompts more carefully because customer resentment is measurable. Payment platforms will face more pressure to treat tip design as a trust issue, not a digital cash lever. Regulators and tax authorities will face more questions about consistency and clarity as tipping moves further into digital rails.
If 67% of Canadians want tipping abolished and 41% avoid tip pushing businesses, do payment platforms start competing on tip prompt design the same way they compete on fees and checkout conversion?
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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