Canada spends roughly $19 billion a year on research and development (R&D) in the higher-education sector, but the system surrounding that investment does too little to turn that research into patents, Canadian firms, and advanced industry output.1 Too much of the downstream commercialization that does occur happens elsewhere. Worse, governments still cannot say clearly, in public, what their research spending is producing at any given institution.
This is largely an incentive problem. Provincial operating grants flow on enrolment and formula. Federal research funding flows on peer-reviewed project quality. Tuition flows on student numbers. None of these funding streams gives universities much reason to care whether their research leads to a patent, a company in Canada, or advanced industry domestic output. The system pays for research activity and training, then treats commercialization as a bonus outcome rather than something the funding model is designed to produce.
This is not a story about weak science. Canada performs well on many conventional academic measures. But the funding system treats those measures as if they were the endpoint. Research strength and industrial need are not the same thing. In both its 2018 and 2025 “State of” reports on science and technology, the Council of Canadian Academies found that Canada’s strongest academic fields do not consistently align with its areas of industrial R&D strength, and that Canada is comparatively weak in several enabling and strategic technologies with high commercial relevance.2 Part of that misalignment reflects downstream weakness in firm absorption and industrial capacity. Part of it reflects upstream incentives that do not push universities to align research priorities with where Canada has, or is trying to build, industrial strength. The upstream problem is more contained, and it is where the funding system gives governments a direct lever.
A meaningful share of public funding for research-intensive universities should be tied to standardized commercialization outcomes, measured in ways that capture real economic results. That does not mean dictating intellectual property (IP) rules, tenure structures, or tech-transfer office design. Those are institutional choices governments should not try to settle from above. Universities should remain free to organize themselves as they choose, but the results of those choices should be reflected in how public money flows.
