EPISODE: "AI WILLS AND WILL-NOTS"
One of three articles on judgment, learning, and ownership in the age of AI.
DESCRIPTION
The AI conversation has quietly changed. Two years ago the question was whether you could use these tools. A year ago it was whether you had the time to. Now the barrier isn't capability. It's choice.
In this episode, I unpack the move from AI haves and have-nots to AI wills and will-nots, starting with two respected voices who've decided to sit it out. Along the way: why "unfair advantage" and "weak, hollow output" can't both be true, why judgment is the thing AI rewards and exposes, what the Gartner Hype Cycle and the change curve reveal about this exact moment, and why declaring you're done at the bottom of the trough is a decision to stay there.
It ends where it has to: cattle, bison, and the storm none of us gets to avoid.
IN THIS EPISODE
- The three states of AI adoption: nots, haves and have-nots, and now wills and will-nots
- The contradiction inside the case against AI, and why it can't be both an unfair edge and an obvious weakness
- Why AI is an amplifier of judgment, not a shortcut around it
- What the Gartner Hype Cycle and the change curve say about where we are
- Why the bottom of the curve is the most dangerous place to opt out
- Cattle, bison, and the choice in front of all of us
KEY TAKEAWAYS - HOW TO BE A WILL, NOT A WILL-NOT
- Direct it, don't defer to it. The gap between leverage and slop is whether you're steering or outsourcing. Bring your thinking to the tool, not the other way around.
- Work iteratively, not lazily. The one-shot "do it all for me" prompt is where hollow output comes from. Treat AI like a draft partner you wrestle with, not a vending machine.
- Go deep before you judge. You can't evaluate the whole category from a single lazy experiment. Rebuild one thing you actually do with AI before you decide it doesn't work.
- Don't treat the trough like a ceiling. Fatigue and disappointment are what the middle of a transition feels like - a reason to keep going, not a reason to declare it's over.
- Judge the output, not the origin. The question was never whether AI was involved. It's whether the work earns someone's attention and their time.
MENTIONED IN THIS EPISODE
Adam Grant, Brené Brown, The Curiosity Shop, Alex M H Smith, ChatGPT, Gartner Hype Cycle, Trough of Disillusionment, Slope of Enlightenment, Mark Scullard, Kübler-Ross change curve.A LINE WORTH REMEMBERING
"The barrier used to be capability. Now it's choice."LISTEN & READ MORE
You can also read this week's Brandistry Buzz on [LinkedIn / Substack]. Subscribe to Brandistry Buzz for weekly takes on brand strategy, marketing, and leadership.