This is ultimately the bar that prevents a Wall-E future. If execution becomes trivial, the question shifts from “can we build” to “do we still want to”. Historically, automation hasn't lead to stagnation but pushed boundaries instead. I'd like to be optimistic that human curiosity doesn't disappear when survival work does.
This makes me think we should probably shift more of research form solving pure execution to more open-ended exploration and planning! There could be way more interesting things we discover this way, and will allow us to generate more meaningful, lasting values, evolving with our objectives and lifes.
Also Claude Code really isn’t that impressive and overhyped.
AI solved execution. The bottleneck now is purpose.
I’ve noticed a shift in my circles within tech: "execution" is no longer the real bottleneck. The constraint has moved to Task Scaling, a variable we have largely forgotten while obsessing over compute and energy.
In this piece, I argue that the winning strategy for the next few years isn't just more automation; it's scaling human purpose. As AI absorbs the labor of execution, we have to radically expand the surface area of what humans choose to pursue. This needs to be the focus of the corporate world (and the world beyond it).
Scaling "tasks" alongside "purpose" is the only path that leads to abundance without radical social imagination. If we scale execution alone, we just get displacement.
Curious to hear from others: now that the "how" is becoming a commodity, how are you rethinking the "what" (at scale)? How do we move toward continuously generating new purposes as fast as AI can execute them?
This is ultimately the bar that prevents a Wall-E future. If execution becomes trivial, the question shifts from “can we build” to “do we still want to”. Historically, automation hasn't lead to stagnation but pushed boundaries instead. I'd like to be optimistic that human curiosity doesn't disappear when survival work does.
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This makes me think we should probably shift more of research form solving pure execution to more open-ended exploration and planning! There could be way more interesting things we discover this way, and will allow us to generate more meaningful, lasting values, evolving with our objectives and lifes. Also Claude Code really isn’t that impressive and overhyped.
[dead]
AI solved execution. The bottleneck now is purpose.
I’ve noticed a shift in my circles within tech: "execution" is no longer the real bottleneck. The constraint has moved to Task Scaling, a variable we have largely forgotten while obsessing over compute and energy.
In this piece, I argue that the winning strategy for the next few years isn't just more automation; it's scaling human purpose. As AI absorbs the labor of execution, we have to radically expand the surface area of what humans choose to pursue. This needs to be the focus of the corporate world (and the world beyond it).
Scaling "tasks" alongside "purpose" is the only path that leads to abundance without radical social imagination. If we scale execution alone, we just get displacement.
Curious to hear from others: now that the "how" is becoming a commodity, how are you rethinking the "what" (at scale)? How do we move toward continuously generating new purposes as fast as AI can execute them?