This week I discuss the broad topic of “how do we manage individual performance” while employees become superpowered by AI? Do we need a different or new process? Should we push deliver metrics higher? Or do we change the model?

As I explain in this discussion, the big change in work is how everyone is “super-charged,” enabling all of us to get more done (or higher quality) for a given cost. So one would guess we “raise the expectation bar.”

However, as I discuss in this podcast, this really doesn’t address the issue. In the world of AI transformation we’re asking people to do different things, not just “more of the same.” So we need to refocus our performance management on the company’s core values and behaviors, not only output metrics.

I also discuss this flawed idea of “beating the competition” to measure performance. Great companies are not evaluated by their ability steal customers or market share from competitors (nor are great countries, btw). Rather they are evaluated based on their growth and return to shareholders. In a time of rapid transformation this means focusing people on “value creation” not just “market share.”

There are lots of philosophical issues to debate here, stay tuned for more to come on this topic.

Additional Information

The Rise Of The Supermanager: A New Role In The World of AI

The AI Revolution in Corporate Learning (new research)

The AI Revolution in Talent Acquisition (new research)

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