Across the United States and Canada, companies are increasingly deploying AI agents—systems capable of planning, reasoning, and executing multistep tasks—to handle work once done by humans. At Snowflake, engineers now rely on AI agents to review product designs, assist during outages, and complete coding projects, freeing staff for higher-level decision-making. Similar tools from firms like Anthropic and Convictional are being used to assign tasks, manage workflows, and even evaluate employee performance, signaling a shift in how organizations operate.
This transformation coincides with widespread layoffs in white-collar sectors, as major employers including Amazon, UPS, and General Motors cite AI-driven efficiency as a factor in job cuts. Analysts estimate that 6–7 percent of U.S. workers could be displaced by AI adoption, with middle management facing the greatest disruption. Yet surveys show that most executives have not yet realized financial benefits from AI, and many job reductions reflect anticipation of future gains rather than current capabilities.
Experts warn that trust and psychological acceptance remain major barriers to successful AI integration. Some companies, such as Convictional, are experimenting with new work models to share productivity gains and maintain employee confidence, while others are setting limits to preserve human connection and oversight.
Share A year ago, engineers at Snowflake, the American cloud-based data platform, still spent part of their day on routine tasks – such as scanning dashboards to ensure systems were running smoothly and chasing colleagues for data to complete trend a
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