“Canadian companies are often forced to prove themselves abroad before being trusted locally.”
Canada has spent years building a reputation as one of the world’s strongest technology and artificial intelligence hubs. The country produces respected researchers, attracts startup funding, and has helped launch globally recognized tech companies. A growing concern is now emerging inside that ecosystem. Many Canadian startups say their biggest challenge is not building technology. It is getting people in Canada to actually use it.
Abe Othman, cofounder of AI infrastructure company Centml, believes Canada faces a serious home-market adoption problem that could slow the growth of its startup sector. Othman argues that Canadian companies often find themselves in a strange position. They develop competitive products, attract international interest, and gain recognition outside the country.
Many still struggle to secure customers within Canada itself. The issue goes beyond funding. It touches something deeper inside the country’s innovation ecosystem and adoption. Startups do not grow simply because they build good technology. They grow when businesses, institutions, governments, and consumers actively use what they create. Othman suggests that Canada has become strong at producing innovation but weaker at deploying it locally.
That creates a difficult cycle for founders. Many startups end up looking outside Canada for their first major customers because domestic adoption moves slowly. As a result, some companies build products in Canada while generating most of their business elsewhere. The challenge becomes especially important in artificial intelligence.
Canada has long been viewed as one of the early leaders in AI research. Researchers based in cities like Toronto, Montreal, and Edmonton played major roles in shaping the technologies powering today’s AI boom. Global technology companies have invested heavily in Canadian AI talent.
The commercial side of the equation has often been more complicated. Many Canadian startups still find it easier to secure customers in larger markets like the United States. Othman believes that creates a gap between innovation and economic impact. Research alone does not create national competitive advantage. Broad adoption does.
The report suggests that Canadian organizations sometimes hesitate to purchase technology from local startups, especially when compared to established international vendors. Large companies often prefer proven global brands. Government procurement processes can also move slowly. Those patterns make it harder for younger firms to gain momentum.
Ironically, some startups only begin attracting significant domestic attention after they achieve success abroad. By that stage, foreign markets may already be driving most of their growth. The problem is not unique to Canada. Several countries face similar challenges where innovation ecosystems produce strong ideas but struggle to create widespread local adoption. The issue becomes more visible in fast-moving sectors like artificial intelligence where speed matters. Companies that secure early customers often gain critical advantages in product development, feedback, scaling, and revenue generation.
Without those opportunities, startups can lose valuable time. Othman’s comments come during a period when governments around the world are placing greater emphasis on technological sovereignty. Countries increasingly want stronger domestic technology ecosystems, especially in strategic industries like AI, cybersecurity, cloud infrastructure, and advanced computing. Building those ecosystems requires more than startup creation.
It requires active use of locally developed technology. Stronger adoption could help Canadian startups scale faster while keeping more economic value within the country. When local organizations support domestic innovation, startups gain reference customers, operational experience, and credibility that can help them compete globally. That support often becomes a launching pad for international growth.
The conversation also reflects a broader reality across the global startup landscape. Many countries celebrate entrepreneurship and innovation. Far fewer successfully create environments where new technologies are adopted quickly across major institutions. The difference between invention and adoption can determine whether a country becomes a long-term technology leader or simply a source of talent for companies elsewhere.
Canada’s situation is particularly interesting because it already possesses many ingredients associated with successful innovation ecosystems. The country has research institutions, technical talent, venture capital activity, and growing AI expertise. What Othman is highlighting is the next challenge.
Turning innovation into widespread economic deployment. The stakes are becoming larger as artificial intelligence moves deeper into business operations. Organizations deciding which AI tools, platforms, and infrastructure to adopt today may shape future competitive advantages. Startups that secure those relationships early could become major players later.
For Canadian founders, the concern is straightforward. Building technology is hard enough. Convincing your own market to believe in it first should not be harder than winning customers abroad. Whether Canada can solve that adoption gap may influence how much value its startup ecosystem ultimately captures from the technologies it helps create.
The country has already proven it can produce innovation. The bigger question now is whether it can fully embrace and use that innovation at home.
