How Canada Can Win in AI: Adopting the Silicon Valley Treatment

In recent years, Canada has emerged as a powerhouse in the field of artificial intelligence (AI), ranking 4th on the Global AI Index, a testament to the nation’s commitment to innovation and investment, as well as the development of the AI field.

In fact, Canada hosts a roster of AI companies making waves not only domestically but also on the international stage. Pioneering companies like Sanctuary AI, Waabi, Cohere, Ada Support, Armilla AI, and Odaia are driving AI innovation, contributing not only to their own growth but also to the flourishing Canadian tech sector. 

Federal and provincial governments are actively fostering AI research and development, with a substantial $2.57 billion investment dedicated to Canadian AI R&D in the fiscal year 2022-23. Significant funds are allocated to esteemed institutes such as the Vector Institute in Toronto, MILA in Montreal, and Amii in Edmonton. These institutes serve as collaborative hubs, fostering an environment that encourages the exchange of ideas and the development of groundbreaking technologies.

Crucial to the growth of scalable tech companies are organizations such as the Creative Destruction Lab and Forum Ventures. These entities play a vital role in providing mentorship and support to entrepreneurs, early-stage high-risk funding, and fostering an ecosystem that accelerates the development of AI unicorns.

As such, the influx of capital into Canada’s AI landscape is creating a conducive environment for startups and emerging companies. In 2021 alone, Canadian AI startups attracted $1.5 billion in venture capital funding, propelling the growth of existing ventures and providing a launchpad for new entrants. A surge of 25% in AI patent filings during the 2021 to 2022 period, with 158 new patents, further underlines the growth of the Canadian AI commercial ecosystem.

Together with the shift towards remote work, the talent pool available to AI companies has enabled them to tap into a global workforce with diverse expertise. Geographical boundaries are no longer barriers, facilitating the scaling of companies and fostering a more dynamic and inclusive industry.

Challenges and Opportunities in the AI Landscape

One particular challenge companies face is the use of AI while preserving privacy—a topic gaining increasing importance in the industry, given the recent EU AI Act and the US AI Bill of Rights. It is also a challenge that Canada has been working on with Bill C-27 and the Artificial Intelligence and Data Act (AIDA).

The journey from a functional AI demo to one that works flawlessly and safely in production is loaded with hurdles. According to a McKinsey report from 2022, there has been no substantial increase in organizations’ reported mitigation of AI-related risks.

There’s a saying that “the last 20% of the work takes 80% of the time.” Nowhere is that more true than when dealing with an AI system. The underestimated complexity that comes with the expectation of achieving perfection in real-world AI applications is a prevalent issue, even with experienced developers and managers. The journey from functionality to precision demands substantial time, effort, and expertise in a field where production deployment experience is constantly in short supply and where the understanding of associated risks and requirements is nascent.

Most businesses deal with outdated systems and a lack of updated infrastructure, which hinders the integration of AI, making it a challenging task for most businesses. As a result, many industry players embark on building AI technology only to revisit established solutions later. That said, there are some benefits of a business going through this process:

1. They understand the staff, infrastructure, and data requirements better for the next AI project
2. They become better buyers and partners

They know what the pitfalls are of the systems they’ve built and can therefore ask vendors much more informed, pointed questions, thus sniffing out poor fits much more easily.

The advent of advanced language models, such as GPT-4, introduces a new set of challenges. While these models offer unprecedented capabilities, finally allowing companies to unlock the value in the 80% to 90% of the data they collect which is unstructured (text, audio, images, documents, etc.), they demand meticulous attention to data quality and ethical considerations.

For investors navigating the AI landscape, here is a crucial piece of advice: Ask about the startup’s data strategy. The capability to gather, manage, and maintain high-quality data is often the linchpin in the success of AI implementations.

For entrepreneurs, the focus on ethical, high-quality data collection is becoming more and more crucial as large and expensively trained all-purpose models become available. While courts might end up siding with companies like OpenAI, which use troves of data which include copyrighted data to train their models, what counts as fair use of copyrighted data for foundation models like GPT-4 might not apply to more purpose-specific models. Not only does high-quality, difficult-to-obtain data provide a data moat, but it also provides the ability to create smaller models that process large amounts of data much more efficiently.

Surmounting technological hurdles is just one aspect required to lead in AI. We can look across the border to see how superstar technology companies have been created in large numbers and pinpoint what our ecosystem is missing to set us up for success.

What must Canada do Now to Lead in AI?

Let’s examine the landscape in Silicon Valley, the most renowned hub of innovation, technology, and entrepreneurship.

The Silicon Valley Treatment 

In the dynamic landscape of the global tech industry, Silicon Valley has long stood as the epicentre of innovation and entrepreneurship. The region boasts a concentration of talent, top-tier universities, and corporate research hubs, giving rise to groundbreaking products and entire industries. While Canada is making strides, crucial gaps remain between the Northern neighbour and its Southern counterpart. To propel itself forward, Canada must draw inspiration from Silicon Valley’s success and address key challenges.

1. Talent Pool

With over two thousand companies, Silicon Valley has the highest concentration of tech companies in the world and is home to over half a million tech workers. Not only that, but their talent pool is nurtured by prestigious universities like Columbia, Stanford, MIT, and Berkeley, and many of the top Fortune 500 businesses call Silicon Valley home, like Google, Apple, NVIDIA, and Meta.

2. Access to Venture Capital

The availability of venture capital in Silicon Valley is unparalleled. The region has the largest concentration of venture capital funding in the nation. Silicon Valley accounts for 45% of all venture capital investment in the US, providing startups access to substantial funding combined with valuable industry expertise, enabling them to scale rapidly. Most importantly, there is a lot of capital that goes into high-risk ventures.

“Silicon Valley entrepreneurs and investors exhibit a high-risk appetite, embracing innovative ideas and disruptive technologies that might be perceived as too risky elsewhere.”

3. High-Risk Appetite

Silicon Valley entrepreneurs and investors exhibit a high-risk appetite, embracing innovative ideas and disruptive technologies that might be perceived as too risky elsewhere. Since many startups are founded by employees and partners of established tech giants, it becomes easy to find and connect with experienced and supportive mentors belonging to the same field and to seek expert guidance in moving forward with one’s entrepreneurial venture.

4. High-Tech Immigration

The region attracts a diverse pool of international talent. According to a report from the nonprofit National Foundation for American Policy, of the 582 “unicorn” startups valued at $1 billion or more in the US, 319 of them, or 55%, had at least one immigrant founder. That number rose to two-thirds when counting companies that were founded or co-founded by immigrants or the children of immigrants. This diversity creates a melting pot of ideas and perspectives that contribute to its global leadership in technology.

5. Infrastructure for Startups

Silicon Valley has an efficient banking infrastructure to meet the unique needs of startups and scaleups. These are necessary for tech businesses to streamline processes and reduce barriers to entry. 

Challenges for Canada: Bridging the Talent Gap

Enhancing Canada’s Appeal

With an estimated 1.4 million tech workers in Canada, the country boasts a pool of highly skilled individuals. However, the challenge lies not in the availability of talent but in retaining it. Over the past decade, Canada’s Consumer Price Index (CPI) has surged by 30%, far outpacing the modest 10% increase in average salaries. Moreover, Canadian tech professionals earn an average of 46% less than their counterparts in the United States, making it increasingly enticing for them to seek opportunities elsewhere. Combine the cost of living with the unfavourable mortgage terms offered to Canadians versus what folks can get in the United States, and you can start to see that what’s at stake is the ability for workers to buy a home and have a nest egg.

As such, governmental interventions are crucial. Measures aimed at reducing the cost of living and offering incentives to companies to match the earnings offered by major tech firms for key positions should be the priority. By implementing these strategies, Canada can better retain its tech talent and help its competitive edge in the global market.

International Hiring with a Purpose

Canada has taken some steps to attract international talent. In 2017, Canada launched the Global Skills Strategy to support Canadian employers seeking quick access to highly skilled talent from around the world. The Start-up Visa Program also provides a path to permanent residency for foreign entrepreneurs.

While providing a great foundation, what Canada has a major gap in to scale its startups locally is talent that has experience massively scaling companies—whether it be on the product, sales, marketing, revenue, finance, or operations fronts. Much of that talent can be found in Canadians who left for Silicon Valley many years ago and are keen to give back to Canada and in operators-turned-investors who are motivated to invest in new markets. Incentivizing such talent to train employees locally in Canada, even for temporary relocations, is crucial. There’s also one key question we can ask ourselves: what would make those individuals interested in returning to Canada?

Government-Funded Training Programs

When Canadians lack the resources to properly develop their skills and newcomers suffer from underemployment, it’s imperative to provide accessible programs to grow and develop local talent. 

Some initiatives, such as Business Scale-up and Productivity in British Columbia and Funding for businesses in southern Ontario, do offer important financial support for business growth and innovation, but if Canada wants to bridge the skill gap, a concerted effort is needed to recognize and foster both newcomers and Canadians alike. 

There’s a lot more we could be doing to support the organizations, from government funding to help them get access to a bigger network to speaking more proudly and loudly about our achievements and ecosystems.

Canada Advantages: Infrastructure and incentives

Geography and Diversity

Canada’s strategic geographic location and its expansive landmass, coupled with its robust transportation infrastructure, make it an ideal destination for business operations. Positioned strategically to serve global markets, Canada offers unparalleled accessibility for foreign businesses and entrepreneurs. Its size, transit network, proximity to major international markets, and multilingual population not only facilitate talent recruitment but also ensure seamless access to a skilled workforce.

Extensive AI Background and World-Class Training

Nvidia co-founder, President and CEO Jensen Huang considers Canada the birthplace of modern AI—and it’s no surprise. Canada has a rich history and ongoing commitment to artificial intelligence research and innovation that goes back to the 1970s with the establishment of the world’s first national AI organization, the predecessor of today’s Canadian Artificial Intelligence Association (CAIAC). It has since maintained a leading position in AI research and is widely seen as a global leader in the industry. It was also the first country to announce a national AI strategy in 2017.

Crucial to Canada’s AI leadership are its world-renowned research institutes and esteemed universities, such as the Alberta Machine Intelligence Institute (Amii), Mila – Quebec AI Institute, and the Vector Institute for Artificial Intelligence in Toronto. 

Additionally, Canada’s esteemed universities, including the University of Toronto, McGill University, University of Waterloo, University of Alberta and the University of British Columbia, among others, consistently produce top-tier graduates in technology and AI. Montreal, in particular, boasts one of the largest deep-learning science communities globally, and Ontario is home to the highest proportion of enablers (companies that provide services and solutions that support and facilitate AI development), developers (companies whose core businesses involve developing AI- and ML-based services and solutions), and users (companies in other industries that aim to enhance their businesses through AI-based technology) in Canada. 

Community

A few organizations we have in Canada truly make a difference with respect to creating the mentorship, early adopter access, funding, and scaling ecosystems necessary for starting and scaling a startup. One in particular I’d like to highlight is the Creative Destruction Lab (CDL), which brings talent and mentorship from around the world to help Canadian startups thrive, in addition to making Canada’s name known abroad as a major innovator. They count 1,905 as part of their alumni network, of which 942 are Canadian and include stars like Ada Support, Deep Genomics, and Tenstorrent. They have created over $33 billion CAD of equity value. 

Thanks to CDL, Private AI got major early adopters, product mentorship, scaling mentorship, and incredible investors who have been helpful throughout the years. Two other organizations worth noting are the Vector Institute, which has played a key role in connecting the community and enhancing the profile of Canada as an AI powerhouse, and Forum Ventures, who bring the much-needed high-risk early-stage capital to Canada, provides key training in B2B SaaS startup scaling and creates a community of founders who support each other every step of the way. 

Supporting these organizations that create an ecosystem for success is an investment in the future of Canada that will pay dividends.

Enhancing Canada’s AI Advantages

As Canada solidifies its position as a global leader in artificial intelligence, the nation faces both challenges and opportunities that require strategic initiatives for sustained success. The commitment of the federal and provincial governments, coupled with the flourishing AI ecosystem and substantial investments, has laid a strong foundation. However, to truly win in this space, Canada must address critical gaps.

The future of AI in Canada hinges on a holistic approach that combines talent development, access to capital, risk-taking culture, strategic collaborations, and infrastructure shake-ups. By adopting the Silicon Valley Treatment and actively addressing the identified challenges, Canada can not only maintain its current AI standing but also emerge as the global leader in shaping the future of artificial intelligence.