The AI transformation calls for a redesign of work, not the elimination of roles

There has been a lot of discussion lately about how the integration of Artificial Intelligence (AI) will enable substantial workforce reductions without affecting productivity. However, a recent article published in the Harvard Business Review (HBR) titled “Transformation Requires Redesigning Work, Not Cutting Roles” sounds the alarm and analyzes the reality behind the first wave of layoffs caused by AI. The authors’ conclusion is clear: companies that cut staff instead of rethinking their work processes are undermining their own future.

The Trap of Premature Layoffs

Many organizations acted more quickly than the available evidence warranted. Driven by exaggerated projections and the fear of falling behind, executives carried out staff cuts based on the assumption that AI would instantly take over employees’ responsibilities.

However, this approach quickly backfired:

• Loss of knowledge: The cuts revealed major gaps in organizational knowledge. AI can automate tasks, but it cannot replace the intuition, historical context, and human judgment accumulated over years of experience.
• Increased need for human oversight: A survey of HR leaders showed that 55% of them believe the layoffs were not worth it. AI models required much more validation and human oversight than initially estimated.
• Undermining organizational culture: Citing AI as a direct reason for layoffs destroys the psychological safety of remaining employees. They become reluctant to experiment with new technologies or suggest improvements, for fear that their own jobs will be automated.

The Paradigm Shift

The HBR analysis emphasizes that the fundamental error lies in how the unit of work is defined. Companies often view a “role” as a monolithic entity that can be entirely replaced by an algorithm.

In reality, a job is a complex set of tasks. For a digital transformation to succeed, leaders must go through three essential stages:

• Breaking down roles: Accurately identifying each component of the job description (transactional tasks, data analysis, communication, decision-making).
• Effective hybridization: Identifying areas where AI excels (rapid processing, generating drafts, pattern recognition) and delegating these functions to technology.
• Process redesign: Redirecting the time saved by employees toward high-value-added activities—strategy, customer relations, innovation, and complex problem-solving.

How to Avoid the “AI Trap” ?

To unlock the true value of AI, the article offers several strategic guidelines:

• Abandon rigid headcount targets: Decisions regarding team structure should be driven by workflow optimization, not by fixed cost-cutting quotas.
• Increase AI literacy at the management level: Leaders must have a deep understanding of both the capabilities and the real limitations of the technologies they implement to avoid unrealistic expectations.
• Protect human judgment and accountability: In fields such as law, finance, or medicine, AI is a performance enhancer, but ultimate responsibility must always remain with humans.
• Implement gradual changes: Adaptation must be a continuous and flexible process that allows employees to develop new skills as the tools evolve.

Conclusion

AI is not a quick fix for reducing labor costs, but rather an opportunity to redefine the value that an organization creates. The greatest challenge of the AI-driven transformation process is not technological, but organizational. The companies that will succeed in the long term are not those that lay off employees the fastest, but those that know how to redesign work so that people and technology collaborate to their fullest potential.