New report argues unequal AI adoption is being driven by workplace systems, not capability
TORONTO, ON (June 11, 2026) – When a woman discloses she used Artificial Intelligence (AI) to complete a task, her perceived competence drops at twice the rate of a man who does the same. That finding, drawn from global workplace research in a new report released by The Prosperity Project highlights how AI adoption is being shaped by organizational systems, workplace norms and uneven exposure to risk.
From Risk to Reinforcement: What Corporate Canada Needs to Know About AI Adoption and Gender Equity examines how AI adoption is affecting women in corporate Canada and why many organizations may be misdiagnosing the problem. Drawing on Canadian labour market data and international workplace research, the report analyzes the issue across three dimensions: risk — the uneven costs and consequences women face when using AI; response — how women adapt their behaviour based on the conditions and accountability structures organizations create; and reinforcement — how organizational systems entrench those patterns over time, widening gaps that begin as individual responses.
Canada has made international commitments around responsible AI and equitable growth, but governance across the private sector remains largely voluntary. Yet most organizations are navigating this without consistent standards or governance requirements. In many organizations, the primary response has been training and upskilling initiatives. The data suggests that response is widening the gap, not closing it.
“AI is going to shape who advances, who gets access to opportunities and ultimately who helps lead Canada’s economy in the years ahead,” says Julie Savard-Shaw, executive director of The Prosperity Project. “If women are more exposed to disruption, and less likely to benefit from how these systems are being implemented, they risk being left out.”
The report highlights Canadian labour market data showing 71 per cent of women work in occupations exposed to AI, compared to 49 per cent of men. Existing research also suggests women are more likely to experience automation and increased monitoring, while men are more likely to benefit from AI augmentation tied to decision-making and strategic work. AI doesn’t land on a level playing field. It enters workplaces with existing structures, existing biases, and existing gaps, and accelerates all of them.
When identical AI-assisted work is evaluated, perceived competence drops twice as steeply for women as it does for men. The report points to this as evidence that AI use is socially evaluated through existing workplace and gender norms. Where performance evaluation and promotion are at stake, avoiding tools that trigger negative perception can become a strategic choice, rather than a skills issue.
Research cited in the report also suggests training alone may not close adoption gaps. While some studies show men’s AI adoption increases following skills training, women respond more strongly to organizational trust, governance and clear expectations around responsible AI use.
What appears as hesitation is a rational response to uneven workplace conditions, not a skills deficit or lack of ambition. And when adoption gaps emerge early and remain unaddressed, organizational systems reinforce those patterns over time, affecting advancement, leadership pipelines and long-term workforce participation.
The findings also point to a major Canadian data gap. While AI is already reshaping hiring, performance and advancement decisions, Canada still lacks comprehensive national data tracking how AI is affecting women across industries, regions and intersecting identities. Data on Black women, racialized women, gender diverse professionals, and workers with disabilities in AI-affected roles is largely absent from the national picture. As AI becomes more deeply embedded in how organizations make decisions, that gap becomes harder to justify – and more costly to ignore. Existing Canadian analysis remains concentrated primarily in Quebec and Ontario, with limited comparable national measurement.
The report calls on organizations to strengthen AI governance, design AI systems that expand rather than compress work, and create environments where employees can experiment with AI tools without disproportionate professional risk.
AI is already reshaping how decisions are made in corporate Canada. Without intervention, it will reinforce existing inequities. With deliberate design, it can expand who participates, who leads, and how organizations perform.
The full report is available in English and French.
The Prosperity Project
Founded in 2020, The Prosperity Project is a national registered charity focused on identifying and eliminating the systemic barriers and biases that impede the advancement of women in the economy, limiting their and Canada’s opportunities for increased prosperity.
Media contact
Jessica Meaney
Marketing and Communications Officer
The Prosperity Project
jessica.meaney@canadianprosperityproject.ca
289-251-7961