Karsten Wenzlaff, Advisor
August 26th, 2025
AI | Nov 18, 2025

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On November 17, 2025, a Reuters report on Bezos taking an operating role at Project Prometheus stated that Jeff Bezos will return to an operating job as co-chief executive of a new artificial intelligence company called Project Prometheus. The new venture has raised $6.2 billion in early stage funding, partly from Bezos, which makes it one of the best financed startups globally.
The company focuses on artificial intelligence for engineering and manufacturing in computers, automobiles and spacecraft, moving frontier AI from pure text/image/voice tools and into factories, vehicles and hardware design. For Canadian fintech firms, banks and regulators, connecting data, machines and capital in new physical AI ways forces fresh thinking about AI innovation, opportunity, and competitiveness.
Jeff Bezos left his chief executive role at Amazon in 2021 to spend more time on Blue Origin and other ventures. Now he decides to lead operations again at Project Prometheus together with Vik Bajaj, a physicist and chemist who helped build Google X projects and later helped found Verily and Foresite Labs. A team that links deep science, hardware and long term capital.
Several media outlets report that the company already employs around one hundred specialists from OpenAI, DeepMind and Meta. This is the type of recruitment drive for founders who are all in, so Project Prometheus is definitely not a side project, as they look to build a flagship platform that will advanced AI systems for the physical economy. Canadian companies who currently work on industrial AI, climate solutions or financial infrastructure now compete with Bezos and Bajaj's vision and funding scale when they pitch global investors.
The company aims to build models that learn from digital data and from the behaviour of real machines. These models can support design and production for chips, vehicles and spacecraft. They can also connect with logistics networks, maintenance data and energy systems. This approach turns AI into a tool that strives to understand how real assets move, trade and operate.
Canada needs to pay close attention because our industrial base still anchors much of our export story. Statistics Canada says that in 2023 about 7% of businesses with five or more employees used AI tools, up from 4% in 2021, in the Statistics Canada analysis of AI use by Canadian businesses. This number may look small now but it's only going to grows steadily.
Canada also brings global strengths that matter for this new era. A CIFAR and Deloitte analysis of Canada AI talent and funding shows Canada ranks third in the G7 for per capita venture funding for AI companies and leads the group in AI talent concentration growth. This combination of rising adoption, research depth and capital formation gives Canada a strong hand.
Project Prometheus will strengthen the link between AI, machines and markets. When an AI system designs a satellite, a vehicle platform or an energy module, it also creates new information for trade finance, insurance pricing and project valuation. Fintech firms that support equipment finance, trade and logistics, carbon markets or space related infrastructure will need to understand both software and engineering. This convergence creates new opportunities for Canadian platforms that work with industrial data, supply chain finance, carbon measurement or advanced insurance models.
A BIS Financial Stability Institute paper on AI and third party risk explains that the concentration of cloud and AI service providers in a few large technology firms strengthens the case for direct oversight frameworks for those providers. That warning applies directly to any bank or fintech firm that relies on a small set of AI platforms like Project Prometheus.
Canadian supervisors already look closely at these questions. An OSFI and FCAC risk report on AI uses and risks in financial institutions shows how model errors, cyber threats and dependence on outside providers raise real concerns. The report also lays out practical steps that institutions can take through stronger governance, clear accountability and regular testing. This guidance becomes more important as companies like Project Prometheus build AI tools that influence real assets. In those cases financial institutions do more than install software. They connect their balance sheets to systems that interact with factories, power grids and space infrastructure.
Banks and fintech firms in Canada face a world where big AI companies connect software to machines, logistics and energy networks. Most financial institutions cannot build systems on that scale but they can build or fine tune smaller AI models that reflect their own data, their own customers and their own risk frameworks. They can also enter partnerships with large AI providers with clear conditions that protect their control over data, risk models and client outcomes.
Canada's federal Budget 2025 (just won confidence vote) strengthens this landscape because it funds national industrial projects that modernize energy systems, critical minerals, advanced manufacturing and trade corridors. Canada lists the first round of Major Projects Office proposals in a detailed announcement of initial national industrial projects under consideration. The federal plan builds on that list with a second tranche of new large scale projects in clean energy, transportation and processing.
These investments create the physical base that real economy AI systems need. When Canada strengthens energy supply, logistics networks and advanced manufacturing, it gives domestic fintechs, lenders and asset managers room to design AI powered financial products tied to real projects in Canada. This connection matters because AI that shapes chips, satellites or factory layouts increases demand for project finance, equipment leasing, structured credit and supply chain platforms. Canadian fintechs can step into those roles when they align their products with national industrial priorities and work with banks, regulators and investors to support the firms that build in the physical economy.
Project Prometheus spotlights AIs new phase where software, machines and finance converge. Canada already holds strong cards in AI research, talent, and new generational industrial investment projects, but those strengths will matter only if fintech firms, banks, regulators, government, and investors act together. They need to push adoption inside Canadian firms, align regulation with innovation and design funding models that support ambitious industrial AI projects at home.
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 | Nov 18, 2025

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On November 17 2025, Digital Commerce Bank (DC Bank) introduced Interac e-Transfer Cards, a new feature that lets people send money with animated cards and personalized messages. The release describes how this new payment experience adds emotion to an everyday payment, “Sometimes sending money isn’t about what you owe – it’s about what you feel.” By bringing sentiment into a familiar payment rail, DC Bank's new feature sets up a broader question for financial institutions about how design and personal expression can influence engagement in daily payments.
Interac e-Transfer plays a central role in daily Canadian payments, and DC Bank built its new card feature on this familiar rail to ensure trust and reach. Customers can access the feature in web and mobile banking or digital wallets through its API platform. By adding expressive design on a payment rail people already use allows institutions to introduce a new experience without asking customers to change how they send or receive money.
The launch encourages Canadian fintechs and banks to look at how personalization can change how people interact with everyday payments. Personalized cards can strengthen engagement and emotional connection, which could help financial institutions and fintechs stand out in a crowded payments market.
Some theoretical examples include:
A development like this could also carry regulatory considerations for institutions. A Saskatchewan court found that even informal digital signals such as a thumbs up emoji may qualify as an electronic signature when it conveys intent. While personalized cards do not act as signatures, they add new layers of user expression that institutions must assess with the same diligence applied to any financial message. This includes reviewing how intent is conveyed, how disclosures appear, and whether expressive elements introduce any sort of ambiguity in how a payment is understood and received.
As expressive payments expand, institutions must also evaluate user disclosures and data handling. The study reviewing e-Transfer privacy and redirection risks highlights considerations that may become more important as payments take on more personal meaning.
Digital Commerce Bank gives Canadians an expressive new way to send money by combining trusted payment infrastructure with expressive digital cards, blending design, technology, and human sentiment.
As payments in Canada evolve, can we envision a day where they might include short voice notes attached to transfers, giving senders even another expressive layer to send with?
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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AI Innovation | Nov 17, 2025

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On November 13 2025, OpenAI launched group chats in ChatGPT, a pilot feature that allows multiple users and ChatGPT to share one conversation in pursuit of 'shared intelligence'. The pilot began in Japan, New Zealand, South Korea, and Taiwan across Free, Go, Plus, and Pro plans. The company OpenAI says the feature makes it easy for people to collaborate with each other and with ChatGPT in the same conversation.
Group chats support up to twenty (20) participants with image generation, file sharing, search, and voice input. The system uses GPT 5.1 Auto to select the best model for each prompt. OpenAI confirmed that personal ChatGPT memory is never shared and that group interactions remain separate from private conversations.
Shared intelligence could change how teams capture and process information. According to a 2025 analysis of generative AI productivity and economic potential, integrated AI systems already improve knowledge worker output by 15% to 30% across major sectors. When teams include AI directly in discussion, duplication can drop, consensus can form faster, and complete records of decisions can be created automatically.
For fintechs, this can mean faster product design, simpler compliance, and clearer investor communication.
The change also raises questions about accountability. When AI helps a team reach conclusions, who owns the reasoning and who confirms its accuracy?
The implications extend beyond efficiency. The way AI interacts in a group may influence which ideas get attention. Teams should keep transparency in mind so AI remains a guide and not an unseen decision maker.
Canada explored rules for transparency fairness and accountability in the Artificial Intelligence and Data Act which was part of Bill C-27 but it didn't pass before Parliament prorogued so the framework is not in force. NCFA Canada's article on EU AI transparency rules explains how new European transparency requirements can inform Canadian policy discussions. The rise of multi participant AI spaces like group chats brings these questions forward in practical ways.
OpenAI explains in the announcement that group chats are separate from private conversations and that each person controls who can join see the history or leave at any time. However, the company hasn't stated whether or not combined group chats will be used to improve future models (read: yes, of course it will).
For fintech firms and regulators alike this latest innovation creates a new conversation about privacy and shared decision tools. It could also prompt review by agencies such as the Office of the Superintendent of Financial Institutions and the Canadian Securities Administrators on the expectations for audit consent and oversight in shared AI environments where many people view the same model output at the same time.
Shared intelligence can support teamwork but it also introduces risks. Research shows that digital tools can increase group pressure when an automated system gives the first idea, people may follow it instead of challenging it.
This has been highlighted in a 2024 review on digital collaboration bias (for GenZ) which found that automated cues can influence group judgment. When AI participates in a group, a confident early answer can impact the scope and direction of discussion. In business and policy settings this can lead to faster but sometimes weaker reasoning. In regulated sectors such as financial technology, groupthink sparks questions about traceability and clarity and who owns the final decision.
While OpenAI keeps group chats separate from personal memory, uses invitations, and gives people control over the tools, these steps can't replace good human practice (just yet). Teams should still help themselves by asking for different views, inviting questions, and noting why choices were made when AI is involved. This helps keep decisions strong and makes sure people stay responsible for the final choice.
The arrival of group chats in ChatGPT is an early pilot of shared intelligence where people and AI reason together in a transparent social setting.
As AI moves from a private assistant to a group collaborator, it's time for Canada and global stakeholders to ensure shared intelligence is designed in such a way that it strengthens collective decision-making and trust in both the process and outcome.
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 Innovation | Nov 14, 2025

Image: Freepik/jcomp
On November 14 2025, numerous outlets such as MarketWatch, PYMTS and Nasdaq reported Robinhood Markets and Gopuff introduced a pilot program allowing select users to order physical cash delivered directly to their door. Cash home delivery is also mentioned on Robinhood's banking page here. Coverage of the cash delivery pilot notes that Robinhood Gold users can request up to $500 in cash for a small delivery fee, with expansion to other cities expected in 2026.
This service shows how digital finance and physical cash can work together, expanding traditional banking limits. Gen Z consumers, though mostly digital first, still use cash in limited social and tipping situations. Their focus on convenience, control, and safety fits with on demand delivery.
Delivering cash brings new challenges in security, anti money laundering, and consumer protection. It also raises questions for regulators about whether cash delivery is a financial service or simply a delivery task.
The pilot is based in the United States, but Canadian fintechs are likely watching closely. Even though cash use is dropping, it still matters for many people (stickiness of cash). A similar approach could work in large cities like Toronto or Vancouver, where younger consumers use digital tools but sometimes need cash. The main innovation is about trust and convenience, both of which are key in a competitive financial market.
For Canadian regulators and startups, this is a chance to look at new ways to provide access to cash using technology that fits with digital wallets. Verified reporting from Nasdaq on the Robinhood Gopuff collaboration shows that this initiative is designed as a customer friendly fintech trial rather than a major banking shift (yet).
Although this pilot is not available in Canada, it draws attention to similar challenges here. NCFA’s earlier reporting on rural bank closures and the KOHO Canada Post partnership demonstrate that financial inclusion depends on reliable local service and creative use of technology. Having said that, Canada Post has its own money management problems, with sustained multi-year operating losses due to the decline of physical mail, a hit to expanding cash access. That is why new partnerships between fintech and delivery providers may be needed to keep service available in remote areas.
Then there's also Neo Financial in Calgary, a three-peat winner on Deloitte's Fast 50 enterprise growth category, launched by the people who built SkipTheDishes deliver service. Ronbinhood's pilot could stoke that mix of fintech and delivery experience, hinting at what might come next. A future where getting your money could be as simple as ordering a meal.
This partnership shows how fintech and physical delivery can meet real world needs. If the pilot works, more companies could test similar options in North America. For NCFA readers, it highlights how innovation, inclusion, and access come together in consumer finance, and how even younger users still value choice and control over their money.
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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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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