One in three Canadian employers rehiring workers cut during AI adoption
Thirty-four percent of Canadian employers who laid off staff during early AI adoption have since reinstated those positions or created similar roles, according to a survey of 1,365 hiring managers by Robert Half.
The finding suggests many organizations moved too quickly to eliminate jobs without understanding AI's actual capabilities and limitations. Deborah Bottineau, Managing Director at Robert Half, said organizations underestimated how much human judgment, oversight, and context certain roles require.
"AI works best as a productivity tool, not a replacement for people," Bottineau said.
Why employers reversed course
The survey identified eight leading reasons employers brought back eliminated positions:
- AI required more human oversight and quality control than expected (38%)
- Increased business demand required more overall capacity (38%)
- The eliminated role involved relationship management AI could not replicate (37%)
- AI tools were not fully or consistently adopted across teams (37%)
- The role required institutional knowledge or context AI could not replace (36%)
- Productivity gains were smaller than expected (35%)
- Risk or compliance concerns emerged without a human in the role (35%)
- Remaining team members experienced burnout or workload strain (33%)
A separate survey of 1,005 Canadian workers found that employees using generative AI spend 33% of their task time checking accuracy and refining deliverables. OpenAI CEO Sam Altman recently acknowledged that AI has not delivered the job losses he once predicted, particularly for entry-level white-collar roles.
Rethinking the role, not just reposting it
Bottineau cautioned against simply reposting original job descriptions. Employers need to rethink these positions with a stronger emphasis on AI literacy combined with core professional skills.
Successful hiring focuses on candidates who can work alongside AI, validate outputs, and adapt as tools change. Sixty percent of employers now consider soft skills-critical thinking, communication, and adaptability-essential for roles working with AI.
"In many cases, employers may be recreating roles with broader or more strategic scope rather than hiring for exactly the same position as before," Bottineau said.
Rebuilding trust after job cuts
Candidates whose roles were previously eliminated will scrutinize offers more carefully, paying close attention to stability, clarity of expectations, and growth opportunities.
Retention depends on how employers address worker concerns about future job security. This means investing in training, setting realistic workload expectations, and demonstrating a clear plan for responsible AI use within the organization.
Bottineau said demonstrating stability, offering upskilling opportunities, and reinforcing the long-term value of human expertise alongside AI are key to rebuilding trust. Employees need to feel they're part of the organization's future, not at risk from it.
For HR leaders managing this transition, AI for HR Managers covers recruitment automation, workforce analytics, and talent retention strategies directly relevant to rehiring and restructuring efforts.
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