Canada Unveils ‘AI for All’; Berkeley Sees Spike in CS Failures

Canada launched a national artificial intelligence strategy called “AI for All” on June 4, with the government estimating up to 250,000 new jobs and as much as $200 billion in added economic activity over five years. Prime Minister Mark Carney and AI Minister Evan Solomon presented the plan at an event in Toronto. The government said the plan aims to increase business AI adoption from just over 12% today to 60% by 2034 and to provide free AI literacy training to 1 million post-secondary students.

Officials described the program as a mix of training, incentives for business adoption and access to vetted AI agents for learners. The strategy cites the 2017 Pan-Canadian AI Strategy as a foundation and notes the role of research centres created under that plan. Government materials say forthcoming legislation will set rules for AI use in public and private sectors and outline standards for trustworthy AI.

The announcement coincided with university data showing a rise in failures in introductory computer science coursework. UC Berkeley reported a 35.3% failure rate in its entry-level Computer Science 10 class in spring 2026, up from under 10% in previous years and well above the department’s expected 7% rate. Department figures link much of the increase to students using large language models on take-home exams; nearly 30 students were found to have used those tools on assessments.

Teaching professor Dan Garcia attributed the higher failure rate to students relying on generative AI instead of mastering core concepts, noting, “My office hours, once full, now often sit empty.” Faculty members say several students who followed permissive AI policies in earlier courses later struggled with basic linear algebra and other fundamentals.

The university data arrives amid broader labor-market shifts tied to automation. Outplacement firm Challenger, Gray and Christmas reported 38,579 U.S. layoffs in May that companies cited as related to AI, representing 40% of all cuts that month and marking the third consecutive month AI was the leading reason given. The firm recorded 87,714 AI-related job cuts so far in 2026, exceeding the 54,836 AI-related cuts it logged for all of 2025. Some critics have argued that companies sometimes use AI as a label for routine cost reductions. Several companies, including Block, have acknowledged layoffs tied to AI initiatives, while other employers have posted roles in digital assets and related areas for displaced tech workers.

Government briefings on the new Canadian strategy emphasize closing the gap between strong research capacity and slower industry adoption. The plan’s stated goals include speeding business uptake of AI, expanding the talent pipeline and setting governance rules intended to spread benefits more widely across the population. Observers will watch implementation of training programmes and proposed regulations alongside changes in classrooms and job markets.