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AI: Redesign Work, Not Just Cut Jobs

AI: Redesign Work, Not Just Cut Jobs

Harvard Business Review published an article on August 28, 2026, arguing that AI transformation should focus on redesigning work rather than cutting roles. The piece emphasizes that companies often make the mistake of using AI to automate tasks without rethinking the underlying processes, leading to suboptimal outcomes and employee resistance. Instead, organizations should identify where AI can augment human capabilities, redesign workflows to leverage both, and invest in reskilling. This approach not only improves productivity but also maintains workforce morale and avoids the talent drain that often follows poorly managed AI implementations. The article provides a framework for leaders to assess which tasks can be automated, which require human judgment, and how to structure teams accordingly. Key signal: HBR argues that successful AI transformation requires redesigning work processes rather than simply eliminating roles. For hiring leaders, this matters because for CHROs and TA leaders, this signals a shift from AI-driven headcount reduction to strategic workforce redesign. The practical implication is that hiring plans should focus on roles that complement AI, such as AI trainers, process reengineers, and change managers, rather than simply reducing headcount. It also underscores the need for robust reskilling programs to retain talent and avoid costly turnover. GCCs and IT services firms can use this insight to position themselves as partners who help clients redesign work, not just implement AI tools. This is a strategic differentiator in a market where AI hype often leads to hasty job cuts. Teksands view: This is a contrarian take that challenges the common narrative of AI replacing jobs. For hiring leaders, it's a reminder that the real opportunity lies in redesigning roles to work alongside AI, not in slashing headcount. The companies that get this right will see higher productivity and better talent retention. Start thinking about how your organization can reskill existing employees for AI-augmented roles, and how your hiring strategy can attract people who can drive this transformation. Don't just buy AI tools; invest in the change management and process redesign that makes them work.

Key fact

HBR argues that successful AI transformation requires redesigning work processes rather than simply eliminating roles.

Why it matters

For CHROs and TA leaders, this signals a shift from AI-driven headcount reduction to strategic workforce redesign. The practical implication is that hiring plans should focus on roles that complement AI, such as AI trainers, process reengineers, and change managers, rather than simply reducing headcount. It also underscores the need for robust reskilling programs to retain talent and avoid costly turnover. GCCs and IT services firms can use this insight to position themselves as partners who help clients redesign work, not just implement AI tools. This is a strategic differentiator in a market where AI hype often leads to hasty job cuts.

The Teksands point of view

This is a contrarian take that challenges the common narrative of AI replacing jobs. For hiring leaders, it's a reminder that the real opportunity lies in redesigning roles to work alongside AI, not in slashing headcount. The companies that get this right will see higher productivity and better talent retention. Start thinking about how your organization can reskill existing employees for AI-augmented roles, and how your hiring strategy can attract people who can drive this transformation. Don't just buy AI tools; invest in the change management and process redesign that makes them work.

Read the original source at Harvard Business Review →

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