Canada Eyes Balanced Growth of AI Industry Amid Innovation Push and Regulatory Plans

A full house gathered at Platform Calgary on Wednesday as Canada’s Minister for Artificial Intelligence and Digital Innovation, Evan Solomon, outlined the federal government’s approach to fostering the country’s rapidly expanding AI sector.

Speaking to an engaged audience, Solomon emphasized a proactive and supportive vision, describing his role as enabling progress rather than obstructing it. “We’re building a ‘team yes’ approach,” he said, highlighting the government’s intent to remove barriers where possible while offering targeted support when necessary.

Solomon noted that Canada is currently navigating a transformative period marked by both political shifts and accelerating technological advancements. While these changes bring challenges related to sovereignty, values, and community stability, he stressed they also present significant opportunities for growth and leadership.

The minister acknowledged the divided public sentiment surrounding artificial intelligence. On one side are strong advocates who see AI as a solution to global challenges, while critics warn of risks such as job displacement, environmental impact, and societal disruption. Solomon underlined the importance of striking a balance encouraging innovation while addressing legitimate concerns around privacy, data security, and employment.

Industry leaders in Alberta have responded positively to the government’s collaborative tone. Ferdinand Hingerl, Chief Technology Officer at Ambyint, highlighted the importance of federal support in strengthening Canada’s AI ecosystem and preventing talent migration to the United States. He noted that keeping investment and expertise within the country remains a key priority.

Similarly, Shannon Vander Meulen, co-founder of WaitWell, pointed out that while financial support is valuable, many companies prefer government contracts over grants. However, she acknowledged the complexity for Canadian firms that also rely heavily on U.S. markets.

Central to the federal strategy are three pillars: improving access to capital, expanding computing resources, and connecting companies with customers. These measures aim to create a sustainable environment for AI innovation to thrive domestically.

On the regulatory front, Canada currently operates under a voluntary code of conduct for advanced AI systems. Solomon confirmed that new legislation is in development to establish clearer rules and safeguards. This includes measures to combat the non-consensual distribution of deepfake content, as well as broader updates to privacy laws aimed at protecting consumers particularly children.

Academic voices are also calling for stronger oversight. Lauren Dwyer, an associate professor at Mount Royal University, stressed the urgency of implementing a robust regulatory framework. She warned that without proper management, the consequences of unchecked AI development could be severe.

Dwyer’s research highlights how AI design influences communication and human behavior. She raised concerns about the diminishing “human in the loop” as efficiency becomes a priority, noting that rapid decision-making processes may reduce careful oversight and increase the risk of errors.

Despite growing adoption, trust in AI remains a challenge. Dwyer referenced a study from Toronto Metropolitan University indicating that while many Canadians use generative AI tools like ChatGPT, a majority remain skeptical of the accuracy of the information they produce.

Still, there is optimism. Dwyer noted that Canada is learning from global counterparts, particularly the European Union, which has taken a more structured approach to AI regulation. While acknowledging that no system is perfect, she believes Canada is taking thoughtful steps to find its own balance between innovation and accountability.

As the country moves forward, the federal government’s dual focus on growth and governance will likely shape how Canada positions itself in the global AI landscape.