How to Be an AI Generalist

If your career is built around doing one thing well, you’re exposed

This Week

If your career is built around doing one thing well, you’re exposed. Specialization made sense, until AI started doing the same work faster, cheaper, and good enough. The next wave of hires will be generalists with range: people who combine tools, automate tasks, and adapt quickly. You’ll get a sneak peek at my Medium article below.

Also in this issue:

  • What top teams get right about AI [LIVE EVENT]

  • How to use AI without losing your creative edge

  • Getting past AI pilot purgatory

Read on!

Don’t Be a Career Specialist (Do this Instead)

If your career is built around doing one thing well, you’re exposed. AI is churning out tasks, shrinking teams, and replacing entry-level jobs. The next wave of hires (or those who stay employed) won’t be specialists. 

They’ll be generalists with range.

The World Economic Forum says 92 million jobs will disappear by 2030, and 170 million new ones will take their place. Most of these roles don’t exist yet, and many of them will require adaptability rather than narrow expertise.

If you want to survive the great career change, you need to learn across functions, combine tools, and automate. 

Think less panda, more raccoon: resourceful, nimble, and comfortable with complexity.

What Top Teams Get Right About AI

Most teams aren’t falling behind because of technology. They’re falling behind because companies say they support AI, but they don’t follow through. It’s not enough to rubber-stamp AI use. Without clear guardrails, training, and a consistent message, even your most capable employees will hesitate to adopt it.

The good news? The gap is fixable.

The Section AI Readiness Summit, is featuring speakers from the 10% of companies winning with AI. You’ll hear what’s working, what to avoid, and how to turn AI policies into performance.

 👉 Register now and learn how to move your team from awareness to real capability.

Don’t Let AI Replace Your Taste, Instinct or Intent

Prompting isn’t authorship and hitting “generate” isn’t design.

In Venngage’s Women in AI & Design feature, I share what separates creative work from content that sinks to the bottom of the internet sea: authorship.

If you’ve been reading my newsletter for a while, you’ll know that I’m pro-AI and encourage people to use it wherever they can, but that doesn’t mean letting ChatGPT or your favorite AI tool replace your taste, instinct, or intent.

That’s the core idea I shared in the piece, alongside nine other women who are reshaping how we use AI in creative work.

Making AI Work Beyond the Pilot

I recently sat down with the team at Just Curious to talk about AI adoption.

We covered:
– Why so many teams get stuck in pilot purgatory
– The emotional resistance that slows down adoption
– How to move from “cool tool” to real transformation

I shared one of my favorite case studies, showing how a little creative friction turned AI from a cost center into a driver of efficiency, confidence, and team momentum.

If you’re rolling out AI inside your org, I think you’ll get a lot out of this one.

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