Canada's telecommunications unions are sounding an alarm about AI adoption in the sector, warning that without swift federal action, the country risks losing control over worker protections, customer data, and critical infrastructure. More than 32,000 workers represented by three major unions are pushing Parliament to establish a national AI framework that prioritizes sovereignty, privacy, and job protection as telecom giants increasingly deploy artificial intelligence systems.

What's Driving the Urgency Around Sovereign AI in Canada?

The Canadian Telecommunications Workers' Alliance (CTWA), representing Unifor, the United Steelworkers, and CUPE, presented concerns to Parliament's Standing Committee on Industry and Technology in April 2026. Their core worry centers on how AI is being deployed without adequate safeguards for workers or the public.

The alliance raised specific concerns about how AI technology is being used for misleading purposes within the sector. In one documented case, a telecom company is using AI to mask the accents of overseas call center workers, effectively obscuring the fact that customer service is being handled internationally. This practice highlights a broader pattern: Canadian telecom companies are adopting AI specifically to reduce the domestic workforce and cut costs, even when it harms customer service quality.

The numbers tell a stark story. Over the past 10 to 15 years, automation and offshoring have eliminated more than 20,000 telecom jobs in Canada. Now, AI is intensifying this trend with annual exit package offerings becoming routine. Workers are understandably concerned that the technology will accelerate job displacement without any government framework to manage the transition.

"You can't have a conversation about AI without it leading to, 'yeah but it's going to take away my job.' A proper AI framework from the government and the accompanying regulations is important to adopt quickly," said Corey Mandryk, Lead Organizer with the United Steelworkers National Local 1944.

Corey Mandryk, Lead Organizer, United Steelworkers National Local 1944

How Does Data Sovereignty Connect to National AI Independence?

Beyond job security, the unions are raising a critical sovereignty issue: most AI systems being deployed by Canadian telecom companies are operated from outside the country, primarily from the United States. This means sensitive Canadian customer data and telecommunications infrastructure are being processed through foreign-controlled systems, creating privacy and security vulnerabilities.

The concern reflects a broader global shift toward sovereign AI, defined as the capacity for nations to independently govern, control, and manage their AI systems, data, infrastructure, and regulatory frameworks. Across the Asia Pacific region, governments are developing domestic AI capabilities to reduce reliance on external sources and safeguard national interests. Canada faces a similar imperative.

The unions emphasized that without government intervention, Canadians risk losing control over personal data flowing through AI systems operated from abroad. This is not merely a privacy issue; it's a question of national sovereignty and the ability to set the terms under which critical infrastructure operates.

What Framework Are Canadian Unions Proposing?

The CTWA has called for the federal government to establish a permanent tripartite working group on AI, bringing together employers, labor representatives, and civil society. This collaborative approach would build a comprehensive national framework addressing multiple dimensions of AI governance.

The proposed framework should protect three critical areas:

• Worker Rights and Job Protection: Establish regulations ensuring AI adoption doesn't become a tool for mass layoffs without transition support or retraining programs for displaced workers.
• Data Privacy and Sovereignty: Require that Canadian customer and worker data remain under Canadian control and processed through domestic or trusted systems, not foreign-operated AI platforms.
• Public Interest Safeguards: Ensure AI systems used in essential services like telecommunications meet ethical standards and serve the public good, not just corporate cost-cutting.

"If we don't consider the voices of workers and the public, then we may lose track of personal data. There are risks connected to our data being run through AI systems, most of which are being operated from south of the border," said Natalie Blais, CUPE Research Representative.

Natalie Blais, CUPE Research Representative

Why Is Social Development Being Left Out of Canada's AI Strategy?

A critical gap in Canada's current approach to AI is the focus on science and commercial development at the expense of social considerations. The unions argue that government attention has centered on innovation and business opportunities while largely ignoring the human impact of widespread AI adoption.

This imbalance raises practical questions about Canada's social safety net. If AI adoption leads to significant job losses, is the Employment Insurance (EI) system prepared to handle the surge in claims? Are retraining programs in place? Are communities being consulted about the transition? These questions remain largely unanswered as companies move forward with deployment.

The unions' call for a tripartite working group reflects recognition that AI governance cannot be left to technologists and business leaders alone. Workers, communities, and civil society must have a seat at the table to ensure that the benefits of AI are shared broadly and that the costs are not borne disproportionately by vulnerable populations.

Steps Toward Building Canada's Sovereign AI Framework

Based on international best practices and the unions' recommendations, a comprehensive Canadian AI framework would need to address several interconnected domains:

• Strategic Vision: Define a national AI vision aligned with Canadian values, including commitments to worker protection, data sovereignty, and public benefit alongside innovation goals.
• Regulatory Governance: Establish clear rules for how AI can be deployed in critical sectors like telecommunications, with mandatory impact assessments for job displacement and data handling requirements.
• Infrastructure and Data Control: Invest in domestic AI compute capacity and ensure Canadian data remains under Canadian control, reducing dependence on foreign-operated systems.
• Workforce Development: Create robust retraining and upskilling programs to help workers transition as roles change, funded by companies benefiting from AI automation.
• Stakeholder Engagement: Establish permanent mechanisms for workers, civil society, and the public to participate in AI policy decisions, not just businesses and government.

The unions' intervention in Parliament represents a crucial moment for Canada. While other nations are racing to build sovereign AI capabilities, Canada has an opportunity to build a framework that prioritizes both innovation and human welfare. The question is whether the federal government will act with the urgency the situation demands.

"Automation and offshoring of work have led to the loss of more than 20 thousand telecom jobs in the past 10 to 15 years, and AI is now intensifying this trend steadily with exit package offerings every year," said Roch LeBlanc, Unifor Telecommunications Director.

Roch LeBlanc, Unifor Telecommunications Director

The stakes are high. Without a coordinated national approach to sovereign AI, Canada risks becoming a testing ground for AI deployment strategies designed elsewhere, with Canadian workers and data bearing the consequences. The unions' call for federal leadership is not anti-technology; it's a plea for technology to be governed in ways that serve Canadian interests and values.