AI Can Make a Company Efficient While Eroding Its Know-How

Harvard Business Review offers an important counterweight to the carefree enthusiasm surrounding AI. Graham Kenny and Ganna Pogrebna argue that a company can appear more technologically advanced while gradually losing the internal capabilities that allow it to innovate, respond to crises, and stand apart. That is an uncomfortable claim for management because it challenges the common success metric of speed and time saved. The article goes to the core of the problem. When a company delegates more and more work to AI, including tasks that once developed human judgment, what the authors call the organization’s unique DNA can begin to fade. This is not just about tone of voice or brand language. It is about the bundle of skills, unwritten rules, and decision habits that allow a company to handle uncertainty better than the market average. The authors warn that a business can become more automated but less adaptable, more data-driven but less wise, more efficient but less legitimate in the eyes of employees and customers. That formulation matters because the loss of capability does not first appear in the budget. It appears as convenience, then as sameness, and eventually as a weaker brand, poorer judgment, and lower resilience. The article matters especially for consulting, media, education, legal services, and sophisticated sales, in other words sectors where judgment, style of work, and the ability to lead a client are the source of competitive advantage. If AI turns most work into the same uniform process, the company may accelerate while losing what clients actually pay for. HBR is effectively asking leadership teams not to measure only task completion speed. They should also track which skills employees are no longer practicing, where improvisation is disappearing, and whether the company is becoming dependent on an external system in areas where its own judgment should remain strong. The biggest mistake would be to treat this loss as collateral damage from progress. The practical conclusion is simple. AI should amplify human performance, not replace the core of expertise itself. Any company that fails to guard that line may become faster than before while also becoming weaker, more interchangeable, and more vulnerable.

AI Can Make a Company Efficient While Eroding Its Know-How

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