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I’ve seen the way we work turned upside down before. Way back in the 1990s, I witnessed the boom of client-server computing. Later on, we traded answering machines for emails, on-premises software for SaaS, and computers for cell phones.
All of these qualified as business transformations, changing how we work and forcing companies everywhere to adapt. But AI is categorically different.
It cuts across sectors, departments, roles, and skill levels all at once. Right now, every leader is trying to figure out how AI is threatening or helping their business — their value proposition, how they make money, their cost structure. This is especially true of white-collar businesses built on human capital.
AI represents a fundamental shake-up of what work gets done by people, what gets done by machines, and how the two collaborate. I work with thousands of companies who are in the thick of navigating this change. And I see CEOs everywhere wrestling with the same question: not whether to transform their workforce, but how to do it responsibly, quickly, and at scale.
But this isn’t a single shift. We’re at the dawn of a new era: one of constant workforce transformation that will require companies to continuously understand how work is changing, redesign the workforce around strategy, and translate insight into action.
The good news is that while AI is the catalyst, it can also be a trusted partner in the process.
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