. Many new forms of work will grow simply because another type of work became more efficient and eventually is constrained somewhere else in the system.
To try to find some efficiency, I next started up a new pattern: block out the last 30 minutes of every day to kick off one or more agents. My hypothesis was that perhaps I could gain some efficiency if the agent can make some positive progress in the times I can't work anyways. Basically: instead of trying to do more in the time I have, try to do... See more
How to work smarter with AI
Our findings suggest that without intention, AI makes it easier to do more—but harder to stop. An AI practice offers a counterbalance: a way to preserve moments for recovery and reflection even as work accelerates
As AI enables more solo, self-contained work, organizations can benefit from protecting time and space for listening and human connection. Short opportunities to connect with others—whether through brief check-ins, shared reflection moments, or structured dialogue—interrupt continuous solo engagement with AI tools and help restore... See more
Rather than reacting to every AI-generated output as it appears, sequencing encourages work to advance in coherent phases. When coordination is paced in this way, workers experience less fragmentation and fewer costly context switches, while teams maintain overall throughput.
As AI enables constant activity in the background, organizations can benefit from norms that deliberately shape when work moves forward, not just how fast. This includes batching non-urgent notifications, holding updates until natural breakpoints, and protecting focus windows in which workers are shielded from interruptions.