Scott Becker

PlanetScale now supports Postgres.

The view that imagines AI wiping out jobs or causing some overnight shock to the system doesn’t contemplate that companies are a made up of a series of bottlenecks. When AI accelerates work in one area, you run into a bottleneck somewhere else. As any individual workflow gets more efficient, the ultimate productivity gain is still constrained by some other part of the system. And usually it’s the case that that part of the system will not have inherently seen the same impact of AI efficiency, which means humans are still doing the work. Take almost any process in an enterprise and you can see how this plays out. If AI Agents generate leads for the sales team, the bottleneck will be humans to have conversations with those customers. And if the leads are good, that will mean more sales hiring. If AI Agents generate more code, you will eventually be bottlenecked by the engineers that can review and incorporate that code into production. You can quickly see how this scales to any process in an organization. Economists and others tend to totally miss how work actually happens in a company; it’s not a series of wholly independent tasks, but instead highly interdependent tasks that all link to each other across a system. This is of course the natural rate limiter of AI efficiency gains, but also the reason why humans will still be doing so many jobs in the future.

BALANCED BUDGET: Warren Buffets’ plan to eliminate the deficit, “Anytime there is a deficit of more than 3% of GDP, all sitting members of Congress are ineligible for reelection.”

Pretty amazing. Waymo surpasses Lyft and on track to pass Uber in next 12 months

Another thing. What you’ll find when you start a business is that you aren’t doing any of that stuff you loved anyway (if you’re doing it right). It’s hiring, firing, managing, selling, finance, systems. And you start to fall in love with the game of business.

Here’s one reason Apple fought tooth and nail to disallow web payments for apps: Because Apple’s IAP is bad in many ways, and *so many* apps will move to web-based payments now not mainly because of the 30% Apple fee, but because of how bad IAP is. Let me give you examples:

Just got our first tariff bill. We imported $167k of floodlights and then paid $255k in tariffs. That’s more than any of our founders were paid last year. 😅😅😅

"You should still learn to code" needs an asterisk. The SWE job is changing fast. By the time you're proficient, today's landscape will be history. But that's exactly why you should start learning now: coding is ground zero for human-AI collaboration. Through learning to code, you'll pick up how to work effectively alongside LLMs. This skill will unlock massive creative opportunity across all fields, not just software. Coding is where we begin dancing with AI. Soon every field will learn the steps.