Across Canada

This report identifies significant barriers that hinder career advancement and enablers that allow leaders from equity-deserving groups to succeed. It is important to track progress because what gets measured gets done, especially at a time when Canada’s workers are aging and immigration levels are lowering, leaving a widening skills and talent gap for employers.

As AI transforms jobs and industries, organizations are navigating new ways of working. Understanding the dynamics of AI adoption—what drives it, what slows it down, and its impact on roles, skills, and workforce development—is essential for building responsive and competitive workplaces.

The Diversity Institute’s Diversity Assessment Tool (DAT) offers SMEs a practical way to assess their EDI practices, policies and strategies and determine areas for improvement.

This report reviews progress for women in engineering and the gaps that remain, and draws upon research and best practices to advance an evidence-based action plan.

The project explored the role of mentorship in pathways to nursing, including education, employment and advancement, and how anti-Black racism manifests for both internationally and Canadian-trained professionals.

This report examines the challenges that Black Canadians face in economic advancement, specifically education, employment, leadership and entrepreneurship. It draws from the latest data and research in these areas, which show that experiences and challenges vary within the Black population based on gender, age, origin and disability.

Given the advancements of innovative technologies pertaining to agricultural practice and its evolving skills needs, this report reviews the current and future competencies needed for community-led greenhouse projects in Northern Indigenous communities to inform the future of training programs and initiatives.

Artificial intelligence (AI) is destined to fundamentally alter work—redefining tasks, reducing demand for specific roles, and giving rise to entirely new roles. Unlike past technology automation waves that targeted routine physical tasks, AI extends into cognitive work—analyzing data, recognizing patterns, and drawing conclusions. This puts even high-skill jobs at risk of disruption, challenging long-held assumptions about their immunity to automation.