We’re at the start of a decade that will look nothing like the one before it. AI and automation are already changing how we work, how we make things, and how decisions get made, and the pace is only picking up. It’s tempting to reach for a headline verdict: utopia or collapse, jobs saved or jobs gone, better lives or worse ones. The honest answer is that nobody actually knows yet. That’s exactly why this blog exists.
We’re going to look at the next ten years of AI and automation as clearly as we can. What’s actually changing, not just what’s being hyped. Who benefits, who gets left behind, and why. Where the technology genuinely solves problems, and where it just moves them somewhere less visible. We’ll ask the uncomfortable questions too: what happens to work when machines do more of it? What happens to communities, to money, to how people find meaning, when the old assumptions stop holding?
This won’t be a blog that roots for one outcome. We’re not here to sell you on inevitable utopia or inevitable disaster. Both of those are easy positions that let people stop thinking. Instead we’ll dig into real projects, real data, and real tradeoffs, and call it as we see it. Sometimes that means highlighting something genuinely promising. Sometimes it means pointing out that a “solution” doesn’t actually solve anything. No single ideology, company, or movement has all the answers, and we’re not interested in pretending otherwise.
Part of what makes this different: we’re not just writing about the future from the sidelines. This is also where we’ll talk about what we’re actually building. Equitide, Impossible Machines Lab, and Perks, as real attempts to answer some of these questions in practice, not just in theory. Building something and writing honestly about whether it’s working are two different disciplines, and we intend to do both here.
If you’re curious rather than certain, skeptical rather than cynical, and willing to sit with questions that don’t have clean answers yet, this is the place. We hope you’ll follow along, push back when we get it wrong, and help figure this out together.