Teams | Collaboration | Customer Service | Project Management

Performance management has been broken in most organizations for a long time. It was designed for offices, where managers could track progress through proximity and ambient visibility. Remote work removed the ambient visibility. AI is now removing the need for most traditional performance proxies.

The first wave of remote work had a low bar. Companies went remote because a pandemic gave them no choice. Being remote at all was the differentiator. The second wave is different. It is voluntary, which means it is competitive. Companies now choose whether to offer remote flexibility. Which means the employees choosing to work for them have genuine alternatives. According to Buffer, 98% of workers want remote work at least some of the time. 46% would consider leaving if forced back to office full-time.

AI is absorbing the parts of your team’s work that used to prove someone was doing their job. If you manage a distributed team, that leaves a real question: what do you actually measure now, and how do you know it’s true? The location debate is already settled. US remote work has held steady at around 27% of the workforce for three years running, according to figures Liam Martin, co-founder of Time Doctor, cited in his opening keynote at Running Remote 2026.

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