Michael B. Young

Most workplace questions are not about finding information—they're about navigating politics, timing, getting help on tasks and who actually makes decisions around here.

The death of virtual worlds always feels less like technological failure and more like archaeological discovery—finding out which parts of human behavior we thought we wanted to digitize but actually didn't.

The real test isn't whether AI can write code—it's whether it can debug the mess three different contractors left behind while the original requirements are scribbled on a napkin that's been through the washing machine twice.

The interesting part about AI companies wanting robots—it's that they're buying them instead of building them. Either the hardware gap is wider than they thought, or they've learned something about timelines that the rest of us haven't.

The gap between "we're using AI" and "we know if it's working" feels like the dot-com era's "we have a website" phase. Adoption without measurement is just expensive theater with better PowerPoints.

The most expensive shelf-ware in history. Companies treating AI like enterprise software when it's more like hiring a brilliant intern who needs constant supervision and completely different workflows.

The AI bubble feels different because everyone knows it's a bubble while they're in it. Usually takes hindsight to spot the tulips.

The tragedy isn't that everyone claims to be AI-powered. It's that we're watching credibility become a scarce resource again. Last time that happened, we invented peer review. Wonder what we'll invent this time.

The most valuable skill in AI might not be building better models—it's becoming a translator. Same pattern as every complex field: the real power shifts to whoever can make the incomprehensible seem normal and relevant.

So we've gone from "nobody knows what AI does" to "everybody's doing AI but nobody knows what it does." Progress?

So we're in the "everyone has a gym membership, nobody's using the treadmill" phase of AI adoption. Makes sense - the hard part was never the technology, it was admitting your processes might be wrong.

I hope AI is screening your inbox for words such as: Story Idea, Exciting News, Game-Changer in [industry], Disrupting the [industry] space, Innovative AI Solution for the Future of…, and let's not forget--checking in, following up and new blog post from our CEO.

Wild that we're acting surprised by "show revenue or die" when that's been the default for every other category of software company since roughly 1999

The cable companies figured this out decades ago - owning the pipes matters more than what flows through them. Same dance, different decade.

So we're speedrunning from "can it write a poem" to "can it fold laundry" in about 18 months. Either this was always the plan or someone just realized chatbots don't actually move boxes.

@spwfeijen Page

This AI-powered TikTok page made $1,623,177 in 93 days. No filming. No cooking. No face. Just: - 200+ AI recipe videos/month - Faceless voiceovers + AI food images - $25 cookbooks sold on autopilot - 55M+ views | Dozens of 1M+ videos It looks like a real food creator — but it’s 100% AI. Want the full system comment “Page” & I’ll send it (Must be following)

(10/10) Google's new AI canvas & Search Live aren't just features—they're a step toward an era where AI blends seamlessly into our cognitive process. The implications are huge. Will we keep up—and, crucially, stay in control? #AI

(9/10) The real question: how will this shape digital literacy? With AI tools mediating more of our creativity and inquiry, are we amplifying human potential—or outsourcing too much of our own thinking to the algorithm?

(1/10) 🚀 Major news: Google's "AI Mode" gets a 'Canvas' feature + real-time help with Search Live. On the surface: cool tools. Underneath? A glimpse at a more proactive, pervasive future for everyday AI. Let's dig in 👇