AI at work: Why Canadian employees should learn to use it | NOW Toronto

TEXT START: As more Canadian businesses push to adopt AI and boost productivity, one HR expert is warning that many employees should be focusing on preparing to use this new tool effectively, as many report not using it for work at all.

The Dissection

This is workplace transition management dressed as empowerment. The article takes an employer-aligned message—learn the tool or become less competitive—and reframes displacement anxiety as an individual skills deficit. It admits AI accelerates summarization, pattern recognition, workflow automation, and administrative work, then treats the remaining human oversight as evidence that employment survives. That is the central sleight of hand: retaining accountability does not require retaining the same number of workers.

The advice is operationally useful but strategically incomplete. Daily AI use may improve an individual’s position against peers, yet it also increases the productivity of the organization and reduces the labor required per unit of output. The worker is being trained to help automate the job category that currently pays them.

The Core Fallacy

The text confuses human involvement with human economic necessity.

“Human judgment,” empathy, context, and accountability may remain in the workflow, but they do not automatically remain scarce, well-paid, or distributed across the existing workforce. One professional supervising AI can replace several professionals performing the underlying cognitive work. Legal and regulatory requirements can preserve sign-off authority while eliminating much of the labor beneath it.

Under the Discontinuity Thesis, AI literacy is not a general shield against substitution. It is a selection mechanism. The workers who control systems, own productive AI capital, verify high-stakes outputs, or occupy indispensable institutional positions may survive as Sovereigns or Servitors. The rest become cheaper operators of their own replacement.

Hidden Assumptions

• Productivity gains will create enough new work to offset labor displacement.
• Employers will distribute AI-generated value to employees rather than capture it through lower headcount, wage suppression, or intensified workloads.
• Human oversight must be performed by roughly as many people as the tasks AI removes.
• “Creativity,” empathy, and critical thinking will remain economically scarce once AI systems become capable of producing and evaluating plausible versions of them.
• Workers have equal access to safe tools, training, experimentation time, and influential roles.
• Learning AI produces durable bargaining power rather than merely making workers more interchangeable.
• Canada’s weak productivity growth is primarily a tool-adoption problem, not a symptom of deeper capital, market, institutional, and ownership constraints.
• The transition will be gradual enough for individual reskilling to keep pace with competitive deployment.

None of these assumptions is established by the article. They are required to make its reassurance work.

Social Function

Primary classification: transition management.

Secondary classifications: ideological anesthetic and partial truth.

The partial truth is that AI literacy will matter, and refusing to learn the tools can make a worker obsolete faster. The anesthetic is the claim that this means the AI transition is fundamentally about empowerment rather than the destruction of the mass employment-to-consumption circuit. The article relocates a structural conflict—who owns the systems and captures the gains—from firms and institutions onto individual workers, who are told to become more adaptable while their bargaining position deteriorates.

The Verdict

This is not a rebuttal to job displacement. It is a manual for becoming useful during the early phase of it. “Use AI every day” is sound tactical advice for avoiding immediate exclusion, but it does not solve the systemic problem: once AI performs cognitive work at lower cost and institutions cannot preserve human-only economic domains, literacy becomes a sorting tool, not a mass guarantee of employment. The article teaches workers to board the machine while declining to ask who owns the engine.