Canada has developed a strong reputation within the AI field, but Canadian firms have been slow to adopt AI. Through an examination of available literature, the Brookfield Institute for Innovation + Entrepreneurship identified talent as a core trend across all barriers and pre-conditions for successful AI adoption.
The literature also points towards financial uncertainty, lack of technological understanding, inflexible organizational culture and structure, and lack of infrastructure as the most common barriers Canadian businesses face when attempting to integrate AI. These challenges are strongly associated with talent needs, which extend beyond the expected tech skills (i.e., data science) to include, for example, risk management, strategy development, change management, and ethical and policy analysis. Overcoming these challenges and achieving the productivity gains associated with AI is, in large part, a human capital issue.
Read this report to help you:
- Gain a better understanding of current AI adoption trends in Canada
- Identify the four core barriers to AI adoption Canadian firms face
- Gain insight into the significance of talent for successfully adopting AI