AI Gave Me Superpowers. My To-Do List Has Never Been Longer.

I build with AI tools every day. They draft emails in seconds, spin up prototypes in minutes that used to take weeks, turn half-formed thoughts into something coherent enough to act on. By any reasonable measure, I should be feeling on top of things. I should have more free time. I should be crossing things off my to-do list faster than I add them.

The reality is that list has never been longer. Not despite AI. Because of it. I check two things off, but by the time I do, I've added three more. But I don't think that's a failure. I think it's a signal.

AI gives me leverage, but that leverage increases the surface area of things worth doing. Every hour I save opens up time to pursue three new paths I couldn't have before. A prototype that would have taken too long is now worth trying. Research I was only vaguely curious about is now worth diving into. A half-baked idea I would have talked myself out of now gets built in less than 30 minutes.

Unless your goals are completely fixed, AI doesn't buy you more time. It buys you more optionality. And optionality is dangerous for curious people. It creates a constant pull toward doing one more thing. One more idea to explore, one more thread to follow. My to-do list isn't a sign of poor time management. It's a mirror of my expanded agency.

Here's the thing I keep coming back to: AI hasn't made me redundant. I don't need less of me. I need more of me. More judgment, more prioritization, more taste in what's actually worth pursuing. The bottleneck is not my ability to execute. It's my ability to choose. AI has made that painfully obvious.

With all the fear about AI job displacement, my own experience has made me wonder. Is there any reason this won't be true for companies too?

Perhaps this is the biggest thing most people are getting wrong about AI and knowledge jobs.

Historically, automation replaces labor when demand is relatively fixed. If you automate an assembly line, you don't suddenly need infinite cars. Productivity gains mostly eliminate labor jobs related to fixed demand. But knowledge work is different. Demand is not fixed. When a product team ships faster, ambitious leaders don't say "great, we need fewer people." They pull ideas forward from the backlog. Projects that were "someday" become "next week." When a research team can explore more hypotheses, the bar for "enough research" quietly rises. When an engineering team gets a 10x productivity lever, they stop asking "do we have enough time to build this?" and start asking "which version of this should we ship?"

The work shouldn't shrink. The company shouldn't need less people. It should need more of them. But it doesn't need people who simply sit around, waiting to take directions and execute. That's where AI will displace jobs. It needs people who can bring more judgment, more coordination, more strategic thinking, more of the stuff that's hard to automate precisely because it requires a human who understands context, stakes, and tradeoffs.

The doomer jobs narrative assumes a fixed roadmap. It assumes we need the same outputs and so we need fewer people. The winning companies won't be the ones that cut headcount. They'll be the ones that expand scope. It will be the companies that learn earlier, connect ideas across the organization better, and ship faster than their competitors.

I'm optimistic that AI will reward individuals and companies that are ambitious. For me, that means continuing to refine my taste and sharpen my ability to figure out what's actually worth working on. My to-do list is still growing. I've stopped trying to fix that. It turns out the thing I was optimizing for was never fewer tasks. It was bigger ones.