The article also highlights the strength of Canada's AI research and talent, with the country leading in terms of growth rate in AI talent concentration and female AI talent globally. However, infrastructure limitations and a skills gap pose challenges. The article concludes by stating that Canada's cautious approach to AI adoption might prove beneficial in the long run, with the country's strong talent pool, new infrastructure investments, and a growing number of success stories suggesting a promising future for AI in Canada.
Key takeaways:
- Canadian businesses have been slower to adopt generative AI compared to other sectors, with only about 14% of businesses using or planning to implement it in the near future.
- Barriers to AI adoption in Canada include high costs, concerns about data safety, a lack of skilled workers, and a lack of trust in AI systems among Canadians.
- Despite these challenges, Canada has a strong AI research and talent pool, with the country ranking first in the five-year average year-over-year growth rate in AI talent concentration compared to G7 nations.
- The Canadian government, businesses, and AI research organizations are working towards accelerating AI adoption in the country, with efforts including a $2.4 billion investment to boost the AI sector, and initiatives to address infrastructure limitations and the AI skills gap.