en.Wedoany.com Reported - On June 4, the Canadian government launched a national "AI for All" artificial intelligence strategy in Toronto, planning to expand AI applications over the next five years through new legislation, investments, and industrial projects. The strategy sets a target of adding CAD 200 billion in economic growth and aims to create 250,000 AI-related jobs.
This strategy revolves around three main pillars: building trust, creating opportunities, and AI sovereignty. Canada aims to further transform its domestic AI advantages from research and entrepreneurial ecosystems into industrial productivity, particularly by increasing the rate of AI adoption among enterprises. The Canadian government disclosed that the current rate of large-scale AI adoption by domestic enterprises remains low, with the strategic goal of raising the enterprise AI adoption rate from slightly over 12% to 60% by 2034. To achieve this, Canada will promote the use of AI tools by small and medium-sized enterprises in key sectors such as healthcare, energy, transportation, agriculture, manufacturing, robotics, and government services. It will also expand the AI talent pool through training, job placements, and youth employment programs. The strategy also proposes providing up to 90,000 AI-related jobs and internship opportunities for Canadian youth, while covering 1 million entry-level higher education students through a national AI literacy program and providing AI learning toolkits to over 3,000 educators.
Computing infrastructure is a key component of this strategy. Canada plans to build a leading public AI supercomputer and invest in sovereign computing and cloud infrastructure, enabling domestic research institutions, enterprises, and the public sector to develop and deploy AI within Canada's own framework. This arrangement integrates computing power, cloud services, data, connectivity, and talent into a single sovereign AI framework, aiming to reduce dependence on external platforms for critical AI infrastructure.
On the industry support front, Canada will support the growth of domestic AI companies through growth capital, government procurement, and commercialization resources. Government procurement will be used as a strategic anchor customer, helping Canadian AI companies gain access to real-world scenarios, computing resources, intellectual property protection, and market entry opportunities. For AI companies in the growth stage, such policy combinations help alleviate pressures related to funding, computing power, and customer acquisition during the transition from technology validation to commercial expansion. Canada will also leverage sovereign technology alliances and established international partnerships to attract external investment, expand overseas markets for domestic companies, and strengthen cooperation in AI R&D, talent, computing power, and procurement among trusted partners. As global AI competition expands from model development to computing power, data, cloud platforms, regulation, and industrial applications, Canada is elevating its AI strategy from a single innovation policy to the realm of economic security and digital sovereignty.
Security governance is also a vital part of the strategy. Canada will push for the modernization of legal frameworks for the digital age, strengthen personal information protection, address risks posed by deepfakes, surveillance pricing, and chatbots, and expand the capacity of the Canadian AI Safety Institute to conduct transparent evaluations of models. The country also plans to enhance AI transparency, enabling the public and businesses to use artificial intelligence more safely. For Canada, the challenge of AI policy lies in simultaneously advancing industrial growth, public trust, and technological sovereignty: enterprises need lower-barrier AI tools and computing resources, workers require skills transition pathways, and government departments must establish new governance boundaries between data security, market fairness, and public service efficiency. Over the next five years, whether the targets of 250,000 jobs and CAD 200 billion in economic growth can be achieved will largely depend on the speed of enterprise AI adoption, the ability of domestic AI companies to secure financing and convert orders, and whether public computing infrastructure can support research and industrial needs.
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