Everything Breaks: AI Autonomy and the Fall of Infallible Agents
The AI industry spent this year discovering what safety programs have known for decades: autonomous systems fail, and trust has to be re-verified, not assumed. A look at why "copilot" is beating "autopilot," what the data on agent failure actually shows, and what lockout/tagout can teach AI adoption about knowing where to keep a human in the loop.
Discount AI: Why Good Enough Really Is Good Enough
AI usage exploded in early 2026 as companies chased token spend as a productivity metric, then blew through budgets fast. Here's how model routing, open-weight models, and a hard look at "good enough" are turning things around, and why the savings aren't as simple as they look.
The Missing Rung on the Corporate Ladder
"AI fluency" risks becoming as meaningless as "proficient in Microsoft Office" has become. A look at where AI is genuinely narrowing the entry-level job market, where it isn't (accounting, healthcare, law, and the trades all tell a different story), and what actually helps someone climb up when the bottom rung is missing.
Who's Afraid of the Big Jobpocalypse?
Two years of AI jobpocalypse headlines, and the data tells a different story. Google's largest workplace study yet finds AI enhancing tasks, not replacing jobs, while nearly a third of companies that made AI layoffs have already rehired for those same roles.
Why Experts Still Matter When Information Is Everywhere
Anyone can find a recipe or a haircut tutorial online, so why do experts still charge a premium? A look at what separates information, which AI now gives away for free, from the hard-earned judgment that clients actually pay for, with lessons from a stylist, a chef, and a 200-year-old French leather company.