Pascal's Wager for AI (and why you should bet on Scenario 2)

People are paralyzed by AI decisions right now. Should you dive in? Hold back? Learn everything? Ignore it completely? Here's a very simple way to work through it...

Dan Hockenmaier just cut through all the noise with a framework made up of three scenarios:

1. AI capabilities hit a wall and don't add as much value as people expect

2. AI absolutely supercharges what most humans can do, but stops there

3. We reach AGI; game over for humans contributing meaningfully to society

His advice? Bet on scenario 2. Learn the tools. Apply them to your work.

Because if it's scenario 1, you've wasted some time on tools that didn't pan out. If it's scenario 3, nothing matters anyway.

But if it's scenario 2 and you're prepared? The upside is limitless.

It's Pascal's wager applied to AI: when facing uncertainty about something massive, choose the path that gives you the best outcome if you're right and the least costly outcome if you're wrong.

Those Guardian stories I shared last week? Real people losing work to AI right now. But there's another group emerging: people who've figured out how to work with these tools rather than against them.

They're focusing on what's still uniquely human - reading the room, facilitating tough conversations, making sense of messy situations.

The question isn't whether AI will change your work. It's whether you'll be ready when it does.

Ready to bet on scenario 2? Our Involver sessions help teams practice the uniquely human skills that will matter most when AI supercharges everything else. Hands-on scenarios, real-time decisions, immediate impact.

Drop me a line if you're curious.