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Adam Thatcher argues AI should make work more meaningful, not just faster

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11

Why it matters

Adam Thatcher, CEO of Grace Farms Tea & Coffee, argues in a new analysis that companies deploying generative AI face a strategic choice: use the technology to free employees from repetitive work and strengthen engagement, or simply extract more output from existing roles. The piece is anchored to fresh Gallup data showing a paradox—employees report AI is making them more productive, yet global employee engagement has fallen for two consecutive years to 20 percent. Thatcher points to Gallup chairman Jim Clifton's research on manager variance as evidence that leadership decisions, not technology alone, drive how workers experience their jobs.

The analysis draws on Thatcher's work with Grace Farms' global supply chain, including a visit to a women-led coffee partner in Ethiopia, as an example of work with visible social meaning. Thatcher does not argue that AI adoption is the problem; rather, he contends that the productivity gains AI delivers are only valuable if leaders deliberately reinvest that time into better roles, stronger management, and clearer purpose.

For in-house counsel and general counsel overseeing AI governance, the piece underscores a growing risk: AI implementations that succeed technically can fail culturally if organizations do not intentionally redesign work and management practices alongside deployment. As AI adoption accelerates through 2025 and 2026, the question is no longer whether the technology can save time, but whether leadership will use that time to improve how people work—or simply demand more.

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