Canada’s drive to turn artificial-intelligence research into economic value moved decisively forward on 10 July. Speaking at Scale AI’s Montréal headquarters, Minister of Artificial Intelligence and Digital Innovation Evan Solomon confirmed a 98.6-million-dollar package to support twenty-three Québec-led AI projects. The plan follows a two-to-one leverage model: each federal dollar unlocks two dollars of private capital. “Countries that master AI will dominate the future,” Solomon told founders and executives, calling the moment “a crisis point” that demands bold action.
How the 98.6-Million Dollar Package Breaks Down
Of the headline sum, 31.7 million dollars comes from the federal innovation-cluster programme, while about 67 million dollars is pledged by corporate partners in aerospace, retail, manufacturing and mining. Project briefs read like a catalogue of real-world challenges. One team will use machine learning to optimise aircraft maintenance schedules; another will install computer vision systems on automated recycling lines; a third will refine search and recommendation tools for leading retail platforms. The shared aim is to embed AI inside sectors that anchor Québec’s economy, raising productivity without uprooting existing workforces.
Solomon returned repeatedly to the theme of sovereignty, warning that without firm domestic support Canada could become a training ground for foreign technology giants. By linking private investment to public funding, he hopes to ensure Canadian intellectual property is commercialised at home rather than siphoned abroad.
Why Québec SMEs Need Faster AI Adoption
Surveys underline the need for a sharper adoption push. Deloitte reports that fewer than one quarter of Canadian small and medium-sized enterprises have moved beyond pilot schemes to full AI deployment, citing cost and skills shortages as primary barriers. By focusing on smaller firms, Scale AI’s latest call offers a subsidised route to experiment without risking the balance sheet. Successful projects must publish measured gains, whether in reduced downtime, quicker inventory turns or lower carbon footprints.
The competitive backdrop is tightening. Scale AI is one of Canada’s five Global Innovation Clusters and can access up to 284 million dollars in federal support over ten years. The new tranche lands as international rivals raise ever larger sums. Data-labelling firm Scale AI in California recently secured major investment from Meta, valuing it at 29 billion dollars, while training-data competitor Surge AI is reportedly seeking up to one billion dollars of growth capital. These moves reinforce Solomon’s message that Canada must act quickly or lose ground in a fast-moving market.
First deliverables from the Québec projects are due within twelve months. Analysts will watch which initiatives translate prototypes into tangible productivity gains or commercial spin-outs. Scale AI board co-chair Hélène Desmarais joined Solomon in calling for a national AI action plan that matches ambition with Canadian values such as transparency and inclusion. If the funded projects deliver, the model could be exported to other provinces, turning isolated pilots into a pan-Canadian productivity surge.
Canada’s AI narrative has long been driven by academic breakthroughs. The Montréal announcement suggests the storyline is shifting to deployment and scale. Should these projects meet their targets, 2025 may be remembered as the year Canada moved beyond talking about AI leadership and started building it.
