Why can’t Canada Cash in on its Own Genius?
The story of Canada’s innovation ecosystem is one of success and failure, a paradox of world-
class talent having underwhelming economic impact. This is not anything new, but in the age of
AI – a domain in which Canada was an early research leader – it has become a serious economic
dilemma.
The questions we must ask therefore, are: Why does Canada’s innovation ecosystem, rich in
talent and research, persistently fail at commercializing that knowledge and scaling companies?
And might it be time for the government’s role to become more constructive beyond simply
writing cheques?
Much of the evidence suggests that the problem is a three-part system failure involving
commercialization pathways, venture capital and scale-up support. Each part feeds the others,
creating a cycle that snuffs out potential.
1.The Chasm in Commercialization: From the Lab to Markets
The link between university research and market success is famously weak. The 2009 analysis of
the U.S. SBIR program found that public R&D funding alone yields a commercialization
probability of less that 50%. The critical factor for success was the participation of outside
private investors who brought capital and crucial business acumen. But this injection of capital
wasn’t just fuel but a sign of validation to the markets.
Additionally, a critical non-financial factor is often ignored, which is the internal culture of
universities and labs. Incentive structures, IP policies, and managerial practices often actively
keep scientists from engaging in commercialization. We are not just under-investing in scale-up
but are often institutionally wired against it.
2.The Capital Challenge: Risk-Averse and “Chilled”
This failure in commercialization reduces venture capital (VC) enthusiasm, creating a second
gap. Canadian VC is often described as increasingly hesitant and the high-profile collapse of
Element AI, despite substantial public and private backing, created a “chilling effect”. It exposed
a problem where funding is often disconnected from business model viability and market
discipline. As the 2019 study on scaling start-ups found, entrepreneurs perceive Canada as
having a profoundly risk-averse business culture, making it difficult to secure domestic capital
for bold, scaling ventures. This pushes talent and ideas to seek funding – and often, a new home
– south of the border.
3.The Scale-Up Support Gap: Misaligned and Bureaucratic
The third gap is in scaling support. The government’s role has often been to fund research
discovery or early-stage grants. But the ecosystem lacks the sophisticated, market-informed
support needed to guide firms from startup to global contender. Those involved in the 2019 study
“Scaling Start-Ups”, outlined how government support is often mis-timed and overly
bureaucratic. Where the focus is on the supply of innovation (R&D grants) rather than
stimulating the demand for it (e.g. incentivizing first customers).
A 2011 study of Canada’s Technology Triangle (Kitchener-Waterloo) also found that even
successful university spin-offs operated as “stand-alone” firms. They lacked strong local
producer-user networks, relied on global customers, and generated minimal “local buzz” or
spillovers. The path wasn’t a paved road, but a series of individual tightropes. More recently, the
2025 diagnosis of Canada’s AI paradox reveals a scary statistic: just 7% of patents from major AI
institutes are held by the Canadian private sector, with up to three-quarters of those patents
having left the country. We produce world-class IP but are not retaining its economic value.
So, Does Government Need to Step into a More Nuanced Role?
Yes, and not just simply as a funder. The historical model of providing subsidies on selected
firms or sectors has a poor track record and can create unhealthy dependencies, as noted in the
2023 discussion on the CHIPS Act. The government’s most constructive role is to act as a
strategic system-builder and de-risker to catalyze private sector action:
• Bridge the Commercialization Chasm: Reform incentive structures in universities and
labs to reward translational research and entrepreneurship. Additionally, create initial
market traction by being a first customer for innovative solutions.
• Catalyze Private Capital: Shift from providing most of the capital to using tools that
crowd in and de-risk private investment (e.g. matching funds, downstream investment
alongside VCs). Increase transparency in grant processes to improve ecosystem
efficiency.
• Build Scale-Up Capacity: Fund and support not just companies, but the infrastructure of
scaling: market intelligence, sales talent development (a noted critical shortage), and
connections to global supply chains and customers. Foster mentorship networks,
especially involving entrepreneurs with global scaling experience.
The core question for economic development is not whether government should be involved, but
how it can shift its role from a direct funder of research to an architect of a functioning market
for innovation. Canada’s ecosystem isn’t failing due to a lack of raw material or potential; our
talent and research are proof of that. It’s failing to connect between discovery, validation,
investment and global growth. Closing those gaps requires a coordinated, market-smart policy
response that the government, as the only actor with the mandate and scale, is uniquely
positioned to lead.
About the Author
Harsha is an economics student whose myriad interests converge on the mechanisms of national and industrial growth. Currently preparing for a master’s program, she channels her curiosity into research on economic development, with a focus on the pivotal roles of technology and global supply chains.