Canada

100 Years of the Canadian Iron Ring and a Uniquely World Class Vow of Trust

I spent Saturday morning in Hong Kong as a speaker at the Canadian Engineering Asia Pacific Conference, a gathering that felt historic.

Not one, not two, but eight deans of Canadian engineering. In the same room, on the same program, in Asia. The conference materials called it a “historic gathering,” and that’s not an exaggeration.

Hong Kong is the perfect place for this to happen. It has a very large base of Canadian engineering alumni. You could feel it immediately. The electromagnetic pull of hundreds of iron rings in the room. A community that’s stayed connected not just to each other, but to an idea.

And despite the diversity of schools, disciplines, and career paths represented, the conference kept circling back to a single word.

Trust.

Yes, one panel was explicitly about modern engineering ethics and building trust. It was moderated by Dean Kevin Deluzio (Queen’s University) and featured Dean Heather Sheardown (McMaster University), Dean Mary Wells (University of Waterloo), and Dean Caroline Cao (University of Ottawa). What struck me was how the theme showed up everywhere else too. Education, innovation, even the informal hallway conversations. Trust wasn’t a topic. It was the subtext.

This is where Canadian engineering has something uniquely world class to contribute. Why? Because we have a cultural and professional tradition that keeps pulling us back to first principles. What we build touches people. And we take an oath to uphold high ethical standards, safety, and integrity in our professional work. That oath is not performative. It is a commitment the public can hold us to. That is trust.

This conference also marked 100 years since the Calling of an Engineer tradition began in 1925, a uniquely Canadian ritual built around that vow, to uphold high ethical standards, safety, and integrity in our professional work.

That vow is trust.

My panel focused on the future of engineering education, and it was moderated by Dean Chris Yip (University of Toronto). I had the privilege of sharing the stage with Dean Phillip Choi (University of Regina), Dean James Olsen (University of British Columbia), and Dean Viviane Yargeau (McGill University). I shared a view that we are going through a platform shift driven by AI disruption. It is a foundational change that will reshape every sector and touch every aspect of our lives, including university education, where AI can reshape how university students learn and how courses are designed.

That is why I also believe this may be the best time to become an engineer. As an early stage investor in the next frontier of computing and its applications, I get to see this shift firsthand every day. The collapsing cost of intelligence, and hence abundance, is changing what is possible, and it is creating the conditions for entirely new category defining companies.

The most moving part of the day was the re obligation ceremony, hundreds of Canadian engineers forming a human chain to renew our vows.

Standing there, I was reminded of something simple. Canada’s brand, when we earn it, is built on trustworthiness.

Trust becomes a competitive advantage for Canada. But it’s not something you declare. It’s something you practice day in and day out.

That’s what the iron ring symbolizes at its best, not nostalgia, not ceremony, but a commitment to be worthy of trust through ethics, safety, and integrity, in the work we do and the systems we leave behind.

A century in, the ring still does what it was meant to do. And right now, that feels more important than ever.

And on that note, I trust we do not have to wait another 100 years for the next one. Let’s do an Iron Ring 101 next year!

P.S. The group picture is only University of Toronto, so you can tell how big the crowd was. We have eight universities represented!

Portfolio Highlight: ABR’s Funding Round

Edge AI has been a key pillar of our Advanced Computing Hardware investments and a core part of our thesis for a long time. It is the same arc I wrote about in The Next Data Centre: Your Phone a while ago.

We need new architectures to meet the speed, security, and energy demands of the next frontier of computing and its applications, which is the lens I used in The Factory Analogy.

Our portfolio company Applied Brain Research (ABR) just achieved a new milestone: ABR announced the successful closure of its oversubscribed seed funding round, including investment from TSF as a lead investor, with Eva Lau joining the board.

ABR created and patented a new type of AI model, called state space models, to make AI smaller, faster, and more energy efficient than transformer models. State space models deliver real-time voice and time series intelligence without the cloud, built for privacy and efficiency. ABR’s first chip, TSP1, delivers real-time, fully on-device voice AI without the cloud. Full vocabulary speech-to-text and text-to-speech are now possible at under 30mW.

At the edge, every millisecond and every milliwatt count.

For context:

  • 30mW is 100× less than a 3W LED lightbulb.
  • A data-center GPU lives in a different universe: an NVIDIA H200 NVL is up to 600W.

Now connect that to the three constraints that define the edge:

  • Speed: for voice and interaction, half a second is half a second too late. Cloud voice is “a terrible experience,” plagued by delays.
  • Security: shipping voice data to the cloud bakes in privacy risk by default — which is why we keep coming back to intelligence that stays close to the user, as Brandon argued in his post In Favour of Intelligence That Stays Put. ABR calls out “privacy concerns” as a core issue with cloud voice.
  • Energy: edge devices are constrained by battery life and on-device resources. ABR’s on-device voice numbers move this from “interesting” to “deployable.”

This is why ABR enables numerous new use cases that weren’t viable before in categories like AR, robotics, wearables, medical devices, and automotive.

Imagine AR glasses (or other wearables) that respond to your command in real time without draining the battery. Imagine a robot that reacts with no hesitation. Imagine a medical device that can provide insight securely, without exporting sensitive data. Imagine a car that can respond to voice commands even when the network is unreliable. These are just a few examples. The list can go on and on.

Or as Eva put it in ABR’s announcement: sophisticated voice AI doesn’t require the cloud.

A Day at Ontario Tech University

I spent a full day at Ontario Tech University in Oshawa a few weeks ago. It was my first time on campus, despite it being just over a 40-minute drive from Toronto, where I live. I arrived curious and left with a clearer picture of what they’re building.

Ontario Tech is still a relatively young university, just over two decades old. What’s less well known—and something I didn’t fully appreciate before the visit—is how quickly it has grown in that time, now serving around 14,000 students, and how deliberately it has established itself as a research university rather than simply a teaching-focused institution.

That research orientation shows up not just in output, but in where the university has chosen to build depth—areas that sit close to real systems and real constraints.

This came through clearly in conversations with Prof. Peter Lewis, Canada Research Chair in Trustworthy Artificial Intelligence, whose work focuses on trustworthy and ethical AI. The university has launched Canada’s first School of Ethical AI, alongside the Mindful AI Research Institute, and the work here is grounded in how AI systems behave once deployed—how humans interact with them, and how unintended consequences are identified and managed.

Energy is another area where Ontario Tech has built serious capability. The university is home to Canada’s only accredited undergraduate Nuclear Engineering program, which is ranked third in North America and designated as an IAEA Collaborating Centre. In discussions with Prof. Hossam Gaber, the emphasis was on smart energy systems, where software, sensing, and control systems are developed alongside the physical energy infrastructure they operate within.

I also spent time with Prof. Haoxiang Lang, whose work in robotics, automotive systems, and advanced mobility sits at the intersection of computation and the physical world.

That work is closely tied to the Automotive Centre of Excellence, which includes a climatic wind tunnel described as one of the largest and most sophisticated of its kind in the world. The facility enables full-scale testing under extreme environmental conditions—from arctic cold to desert heat—and supports research that needs to be validated under real operating constraints.

I can’t possibly mention all the conversations I had over the course of the day—it was a full schedule—but I also spent time with Dean Hossam Kishawy and Dr. Osman Hamid, discussing how research, entrepreneurship, and industry engagement fit together at Ontario Tech.

The day also included time at Brilliant Catalyst, the university’s innovation hub, speaking with students and founders about entrepreneurship. I had the opportunity to give a keynote on entrepreneurship, and the visit ended with the pitch competition, where I handed the cheque to the winning team—a small moment that underscored how early many technical journeys begin.

Ontario Tech may be young, but it is already operating with the structure and discipline of a mature research institution, while retaining the adaptability of a newer one.

Thank you to Sunny Chen and the Ontario Tech team for the time, access, and thoughtful conversations throughout the day.

P.S. If you enjoyed this blog post, please take a minute to like, comment, subscribe and share. Thank you for reading!

This blog is licensed under a Creative Commons Attribution 4.0 International License. You are free to copy, redistribute, remix, transform, and build upon the material for any purpose, even commercially, as long as appropriate credit is given.

Geopolitics Now Matters to Every CEO

In October, at our Two Small Fish Ventures AGM, I had the chance to sit down with Benjamin Bergen for a fireside chat. At the time, he was still leading the Council of Canadian Innovators. None of us knew he would soon become the new CEO of the CVCA. Looking back, the timing could not have been better.

I have known Benjamin for many years. When I was CEO of Wattpad, I worked closely with him through CCI, which played an important role in advocating for Canadian scaleups. That experience gave me a front row view of how policy, talent mobility, capital, and global markets intersect. I did not expect that perspective to become even more useful on the investor side, but today it is proving to be exactly that.

At Two Small Fish, our portfolio founders often hear us talk about our full cycle view of company building. We have built companies, operated them at global scale, navigated regulatory and geopolitical realities, and now invest across deep tech. We have seen the journey from the very first product decision all the way to commercialization. That experience matters today because geopolitics is no longer something happening far away. It is showing up directly in the work of founders.

The World Has Changed Irreversibly

Founders do not necessarily always think about politics, especially geopolitics. I certainly did not in my early days as a founder. But over the past year, the global environment has shifted in ways that affect talent, capital, customers, supply chains, and data. These forces are becoming part of the operating conditions for every innovative company.

At the AGM, Benjamin and I spent time unpacking what this new reality looks like.

  • Talent We spoke about the growing brain drain and how global mobility is changing. The tightening of the H1B program in the United States has created a ripple effect across the entire talent ecosystem. Early stage companies are rethinking where they build teams, and immigration policy is becoming a strategic consideration rather than an afterthought.
  • Capital The rise of protectionism and shifting global alliances are affecting how and where capital can move. The changing dynamics among the United States, China, and Canada raise new questions for both founders and investors. Some are beginning to view geographic diversification as a practical response to political uncertainty.
  • Customers National preference policies such as Buy Canadian and Buy American are becoming more common. These policies may begin as political statements, but they influence real procurement and partnership decisions. For founders, gaining early customers is no longer just about product and timing. There is a political dimension that needs to be understood.
  • Infrastructure and Defense We also talked about how export controls and security requirements are expanding. Technologies that once seemed purely commercial are now viewed through a strategic lens. Even young companies are discovering that they may be operating in areas that governments consider sensitive.
  • Supply Chains Global supply chains have shown their fragility in areas such as semiconductors, rare earth materials, and energy. These vulnerabilities create friction but also open new opportunities for companies building more resilient and regional alternatives.
  • Data Sovereignty Data localization and national data governance rules continue to spread. More countries want their data stored and processed within their borders. For companies operating internationally, this introduces new architectural and operational decisions much earlier in the journey.

Benjamin also shared how CCI’s new advisory group, Signa Strategies, is helping founders navigate exactly these types of challenges. It felt like a natural evolution of the work he has been doing for years.

As our conversation wrapped up, I was reminded how valuable it is to have seen this ecosystem from both sides. As a founder, I saw how talent, markets, and policy could quietly redirect a company’s path. Through CCI, I saw how national priorities and regulation shape the environment innovators work in. These experiences feel especially relevant now. The geopolitical questions that once appeared at the edges are moving closer to the center.

This is the environment founders are building in today. And with our full cycle experience, we hope to help them navigate it with clarity, context, and confidence.

P.S. If you enjoyed this blog post, please take a minute to like, comment, subscribe and share. Thank you for reading!

This blog is licensed under a Creative Commons Attribution 4.0 International License. You are free to copy, redistribute, remix, transform, and build upon the material for any purpose, even commercially, as long as appropriate credit is given.

Quantum: From Sci-Fi to Investable Frontier

When I was studying electrical engineering, out of my curiosity, I chose to take an elective course on quantum physics as part of advanced optics. It sparked my curiosity in quantum. The strange, abstract, counterintuitive rules, for example particles existing in multiple states or being entangled across distance, captivated me.

Error correction, closely related to fault tolerance in quantum systems today, is the backbone of telecommunications, one of the areas I majored in.

Little did I know these domains would converge in such a way that my earlier academic training would become relevant again years later.

For me, computing is not just my profession, it is also my hobby. As a science nerd, I actively enjoy following advances, and I keep going deeper down the rabbit hole of the next frontier of computing. That mix of personal curiosity and professional focus shapes how I approach both the opportunities and risks in the space. Over the past few years, I have gone deeper into the world of quantum. My academic and professional background gave me the footing to evaluate both what is technically possible and what is commercially viable.

From If to How and When

In June, I wrote Quantum Isn’t Next. It’s Now. We have passed the tipping point where the question is no longer if quantum technology will work, it is how and when it will scale.

This momentum is not just visible to those of us deep in the field. As the Globe and Mail recently reported, we at Two Small Fish have been following quantum for years, but did not think it was mature enough for an early-stage fund with a 10-year lifespan to back. This year, we changed our minds. As I shared in that article: “It’s much more investible now.”

The distinction is clear: when quantum was still a science problem, the central question was whether it could work at all. Now that it has become an engineering problem, the questions are how it will work at scale and when it will be ready for commercialization.

This shift matters for investors. Venture capital focuses on engineering breakthroughs, hard, uncertain, but achievable on a commercialization timeline. Fundamental science, which can take many more years to mature, is better supported by governments, universities, and non-dilutive funding sources. I will leave that discussion for another post.

One of Five Frontiers

At Two Small Fish Ventures, we have identified five areas shaping the next frontier of computing. Quantum falls under the area of advanced computing hardware, where the convergence of different areas of science, engineering, and commercialization is accelerating.

Each of these areas is no longer a speculative science experiment but a rapidly advancing field where engineering and commercialization are converging. Within the next ten years, the winners will emerge from lab prototypes and become scaled companies. Quantum is firmly on that trajectory.

How We Invest in Quantum

Our first principle at Two Small Fish is straightforward: we only invest in things we truly understand, from all three technology, product, and commercialization lenses. That discipline forces us to dig deep before committing capital. And after years of study, it is clear to us that quantum has moved into investable territory, but only selectively.

Not every quantum startup fits a venture time horizon. Some promising projects will take too many years to scale. But we are now seeing opportunities that, within a 10-year window, can realistically grow from an early-stage idea to a successful scale-up. That is the standard we apply to every investment, and quantum finally has companies that meet it.

From Sci-Fi to Reality

Canada has played an outsized role in building the foundation of quantum science. Now, it has the chance to lead in quantum commercialization. The next few years will determine which teams turn breakthrough science into enduring companies.

For investors, this is both an opportunity and a responsibility. The quantum era is not a distant possibility, it is here now. What once sounded like science fiction is now an investable reality. And for those willing to put in the work to understand it, the frontier is already here.

P.S. If you enjoyed this blog post, please take a minute to like, comment, subscribe and share. Thank you for reading!

This blog is licensed under a Creative Commons Attribution 4.0 International License. You are free to copy, redistribute, remix, transform, and build upon the material for any purpose, even commercially, as long as appropriate credit is given.

A Thought for Asian Heritage Month

I recently spent a few weeks in Asia, visiting Tokyo, Hong Kong, Singapore, and Taiwan before returning to Toronto. Eva joined me for the first part of the journey, while I spent time in Singapore on my own, a city I’ve visited numerous times before. In Taiwan, I was accompanied by Albert, who was born there and still has family ties in the region.

This was by far my longest trip in quite some time. These destinations represent some of the world’s most developed economies, with GDP per capita levels comparable to or exceeding those in North America. Singapore, for instance, has a per capita GDP of around 90,000 USD, roughly 50 percent higher than the United States’ 66,000 USD.

Conversations and Perspectives

Coincidentally, my visit aligned with Liberation Day. Needless to say, it sparked many fascinating conversations, including the so-called “penguin tariffs,” whether AI is already smarter than certain politicians, and everything in between. Around that time, I also came across a perspective that stood out. While tariffs were initially expected to threaten Asian economies, many locals believed they had ended up affecting the United States more. Businesses in the Asia Pacific region had begun diversifying away from reliance on the US market years ago. As a result, they now have more leverage, and the direct impact of tariffs has been relatively limited. The broader concern was the possibility of a global recession.

Tech Energy in the Region

Across all four regions, I witnessed growing momentum in tech entrepreneurship. I had the chance to speak at tech conferences, lead masterclasses, take part in fireside chats, and encourage high school students to consider entrepreneurship as a path worth exploring.

Why It’s Happening

Why is this happening? These regions have strong technical capabilities. Taiwan, for example, manufactures about 90 percent of the world’s most advanced chips, and its capabilities are unmatched by any other country. Singapore, on the other hand, excels in semiconductor fabrication and biotechnology, and its presence in AI and computing infrastructure continues to grow.

Understanding the Cultural Landscape

At the same time, the cultural differences between East and West remain clear. The East tends to emphasize social harmony, collective behaviour, and conformity. The West often puts more weight on individual expression and free spirit.

Even small things reflect these differences. Take jaywalking. In Tokyo and Singapore, it is rare. People stare at you if you do it. In contrast, after jaywalking was recently legalized in New York City, I actually felt social pressure to jaywalk. Not doing so made me feel out of place.

Why Culture Matters in Business

For companies working across borders, recognizing these kinds of cultural nuances is not optional. It is essential. A one-size-fits-all approach often leads to missteps.

The Bicultural Perspective

Having been raised in Asia and now living in Canada for decades, I’ve come to appreciate the value of navigating both worlds. That dual perspective has become a quiet but important asset in both my personal and professional life. It is not a liability.

As I often say:

“Bamboo is neutral. If it’s used as a ceiling, it becomes a barrier. But if it’s used as a pole for jumping, one can leap incredibly high. Biculturalism is a powerful asset. If you leverage it in the right context, it can become your unfair advantage.”

Biculturalism, when used with intention, becomes a meaningful advantage. It helps you understand nuance, communicate across different environments, and approach global opportunities with more adaptability.

Looking Ahead

In an increasingly interconnected world, going global is no longer just a choice. During Asian Heritage Month, this feels especially relevant. Let’s celebrate not only our roots but also the advantages that come from navigating multiple worlds.

P.S. If you enjoyed this blog post, please take a minute to like, comment, subscribe and share. Thank you for reading!

This blog is licensed under a Creative Commons Attribution 4.0 International License. You are free to copy, redistribute, remix, transform, and build upon the material for any purpose, even commercially, as long as appropriate credit is given.

Investing in Fibra: Revolutionizing Women’s Health with Smart Underwear

At Two Small Fish Ventures, we love backing founders who are not only transforming user behaviour but also unlocking new and impactful value. That’s why we’re excited to announce our investment in Fibra, a pioneering company redefining wearable technology to improve women’s health. We are proud to be the lead investor in this round, and I will be joining as a board observer. 

The Vision Behind Fibra

Fibra is developing smart underwear embedded with proprietory textile-based sensors for seamless, non-invasive monitoring of previously untapped vital biomarkers. Their innovative technology provides continuous, accurate health insights—all within the comfort of everyday clothing. Learning from user data, it then provides personalized insights, helping women track, plan, and optimize their reproductive health with ease. This AI-driven approach enhances the precision and effectiveness of health monitoring, empowering users with actionable information tailored to their unique needs. 

Fibra has already collected millions of data points with its product, further strengthening its AI capabilities and improving the accuracy of its health insights. While Fibra’s initial focus is female fertility tracking, its platform has the potential to expand into broader areas of women’s health, including pregnancy detection/monitoring, menopause, detection of STDs and cervical cancer and many more, fundamentally transforming how we monitor and understand our bodies.

Perfect Founder-Market Fit

Fibra was founded by Parnian Majd, an exceptional leader in biomedical innovation. She holds a Master of Engineering in Biomedical Engineering from the University of Toronto and a Bachelor’s degree in Biomedical Engineering from TMU. Her achievements have been widely recognized, including being an EY Women in Tech Award recipient, a Rogers Women Empowerment Award finalist for Innovation, and more.

We are thrilled to support Parnian and the Fibra team as they push the boundaries of AI-driven smart textiles and health monitoring. We are entering a golden age of deep-tech innovation and software-hardware convergence—a space we are excited to champion at Two Small Fish Ventures.

Stay tuned as Fibra advances its mission to empower women through cutting-edge health technology.

This blog is licensed under a Creative Commons Attribution 4.0 International License. You are free to copy, redistribute, remix, transform, and build upon the material for any purpose, even commercially, as long as appropriate credit is given.

Announcing Our Investment in Hepzibah AI

The Two Small Fish team is thrilled to announce our investment in Hepzibah AI, a new venture founded by Untether AI’s co-founders, serial entrepreneurs Martin Snelgrove and Raymond Chik, along with David Lynch and Taneem Ahmed. Their mission is to bring next-generation, energy-efficient AI inference technologies to market, transforming how AI compute is integrated into everything from consumer electronics to industrial systems. We are proud to be the lead investor in this round, and I will be joining as a board observer to support Hepzibah AI as they build the future of AI inference.

The Vision Behind Hepzibah AI

Hepzibah AI is built on the breakthrough energy-efficient AI inference compute architecture pioneered at Untether AI—but takes it even further. In addition to pushing performance/power harder, it can handle training loads like distillation, and it provides supercomputer-style networking on-chip. Their business model focuses on providing IP and core designs that chipmakers can incorporate into their system-on-chip designs. Rather than manufacturing AI chips themselves, Hepzibah AI will license its advanced AI inference IP for integration into a wide variety of devices and products.

Hepzibah AI’s tagline, “Extreme Full-stack AI: from models to metals,” perfectly encapsulates their vision. They are tackling AI from the highest levels of software optimization down to the most fundamental aspects of hardware architecture, ensuring that AI inference is not only more powerful but also dramatically more efficient.

Why does this matter? AI is rapidly becoming as indispensable as the CPU has been for the past few decades. Today, many modern chips, especially system-on-chip (SoC) devices, include a CPU or MCU core, and increasingly, those same chips will require AI capabilities to keep up with the growing demand for smarter, more efficient processing.

This approach allows Hepzibah AI to focus on programmability and adaptable hardware configurations, ensuring they stay ahead of the rapidly evolving AI landscape. By providing best-in-class AI inference IP, Hepzibah AI is in a prime position to capture this massive opportunity.

An Exceptional Founding Team

Martin Snelgrove and Raymond Chik are luminaries in this space—I’ve known them for decades. David Lynch and Taneem Ahmed also bring deep industry expertise, having spent years building and commercializing cutting-edge silicon and software products.

Their collective experience in this rapidly expanding, soon-to-be ubiquitous industry makes investing in Hepzibah AI a clear choice. We can’t wait to see what they accomplish next.

P.S. You may notice that the logo is a curled skunk. I’d like to highlight that the skunk’s eyes are zeros from the MNIST dataset. 🙂 

This blog is licensed under a Creative Commons Attribution 4.0 International License. You are free to copy, redistribute, remix, transform, and build upon the material for any purpose, even commercially, as long as appropriate credit is given.

Celebrating Richard Sutton’s Turing Award

I’d like to extend my heartfelt congratulations to Richard Sutton, co-founder of Openmind Research Institute and a pioneer in Reinforcement Learning, for being honoured with the 2024 Turing Award—often described as the “Nobel Prize of Computing.” This accolade reflects his groundbreaking contributions, which have shaped modern AI across a wide spectrum of applications, from LLMs to robotics and everything in between. His influence resonates throughout classrooms, research, and everyday life worldwide.

As a self-professed science nerd, I’ve had the privilege and honour of working with him through the Openmind board. Rich co-founded Openmind alongside Randy Goebel and Joseph Modayil as a non-profit focused on conducting fundamental AI research to better understand minds. We believe that the greatest breakthroughs in AI are still ahead of us, and that basic research lays the groundwork for future commercial and technological innovations.

A core principle of Openmind—and a guiding philosophy of its co-founders—is a commitment to open research: there are no intellectual property restrictions on its work, ensuring everyone can contribute to and build upon this shared body of knowledge. Rich’s vision and dedication continue to inspire researchers and practitioners around the world to push the boundaries of AI and openly share their insights. This Turing Award is a well-deserved recognition of his transformative impact, and I can’t wait to see the breakthroughs that lie ahead as his work continues to redefine our understanding of intelligence.

P.S. This blog is licensed under a Creative Commons Attribution 4.0 International License. You are free to copy, redistribute, remix, transform, and build upon the material for any purpose, even commercially, as long as appropriate credit is given.

Only Optionality Can Make Canada Strong and Free

The tariffs are coming. We all know this isn’t really about fentanyl—only 19 kg of the U.S.’s supply comes from Canada, while close to 10,000 kg was seized at the U.S. border.

Even if we solved this tiny issue, Trump would find something else—maybe he’d complain that the snow in NYC is due to cold air from Canada and slap us with another tariff.

Trump’s playbook is simple: weaponize everything at his disposal to get what he wants.

He’s imposing tariffs on everything from us. We can debate whether to slap tariffs on orange juice or hair dryers in response, but that won’t materially change the outcome. How we react now is just noise—he holds all the leverage anyway. Canada will suffer in the short term, no matter what.

But we shouldn’t let a crisis go to waste. This is a golden opportunity to fix systemic issues that were previously near impossible to address—like interprovincial trade barriers. Yet even fixing that won’t solve the root problem.

Stepping back, the real issue is one of the first principles of leadership: Optionality.

Having alternatives always provides leverage. This principle applies broadly—not just to negotiations, but also to fundraising, supplier relationships, operations, company survival, M&A, and beyond—including leading a country.

Trump understands leverage better than most. This isn’t just about negotiation—even if we reach a deal this time, any agreement with him isn’t worth the paper it’s written on.

As a country, we are far too dependent on the U.S., and Trump knows it. Only by addressing our lack of optionality can we deal with him—and future U.S. presidents—on equal footing.

There is no quick fix. Only a new, decisive, visionary Prime Minister can guide Canada out of this mess.

The only way forward is to leverage what we do best—energy, natural resources, AI, and more—to create true optionality. As the world shifts toward intangible assets, ironically, our proximity to the U.S. is becoming less of a hindrance to diversification.

We must control our own destiny. We cannot allow any single country—U.S. or otherwise—to hold us hostage.

Only optionality can make Canada strong and free.

P.S. This blog is licensed under a Creative Commons Attribution 4.0 International License. You are free to copy, redistribute, remix, transform, and build upon the material for any purpose, even commercially, as long as appropriate credit is given.