Latest Learning Out Loud

A few weeks ago, I did what felt slightly ridiculous: I spent an afternoon making a digital version of myself using Nano Banana. The result? A polished, professional avatar ready to deliver content, pitches, and founder updates without filming myself seventeen times to get the lighting right.

Most leaders still default to headcount: “We need to hire.” But AI, automation and shifting skills mean roles age quickly. Your real challenge is deciding when to automate, grow, rent or own talent—especially across AI, data and engineering.​

Equipping your team with AI tools isn’t about “doing something with AI.” It’s about removing friction from people’s work so they can do more of the high‑value thinking you actually hired them for.​

Artificial General Intelligence (AGI) and Artificial Superintelligence (ASI) sound like sci‑fi buzzwords, but they’re increasingly creeping into career conversations – especially when people like Elon Musk start putting dates on them. So what are AGI and ASI, and what does it actually mean for your job if he’s right?

In boardrooms and budget reviews, that’s the real question behind every “we should invest in data” conversation.

AI won’t rescue a weak go‑to‑market plan. But if you’re clear on who you’re targeting and what you’re trying to achieve, a few simple AI tools can make execution faster, cleaner, and easier to sustain.