Jay Samit on AI: 5 Ideas Every Leader Should Hear
The bestselling author and AAIM Leadership Conference keynote shares what he wants every business leader to hear — before AI leaves them behind.
This Week at Work Guest: Jay Samit
Jay Samit has spent forty years watching executives misread new technology — and he sees it happening again with AI. The bestselling author, USC professor, and AAIM Leadership Conference keynote speaker joined Phil Brandt on This Week at Work this week with a direct message for HR and business leaders: the leaders who wait for AI to “settle down” are going to lose to the ones who don’t.
Five Ideas From the Conversation Worth Holding Onto
1. The Real AI Risk Is Competitive, Not Existential
This was Jay’s sharpest reframe. Most leaders still think about AI as a future technology that might eventually replace some roles. Jay’s argument is that the real risk is already here, and it’s competitive, not existential:
“In the immediacy, you’re not going to lose your job to AI. You’re going to lose your job to someone who’s using AI better than you. And you’re going to lose your company to a company that’s using AI better than you.”
— Jay Samit
The organizations building AI fluency right now aren’t doing it because the technology is perfect. They’re doing it because every month of delay is a month of widening distance between the teams building judgment with these tools and the teams still debating whether to.
2. Waiting for AI to “Settle Down” Is the Wrong Move
Jay’s second reframe went after the most common reason leaders hesitate: it’s not ready yet.
“Today’s AI is as dumb as it will ever be.”
— Jay Samit
His point isn’t that AI is dumb. His point is that whatever its current limitations, this is the floor. Entry-level humanoid robots dropped from $15,000 to roughly $5,000 in the last cycle. Foxconn now operates fully automated “lights-out” factories. Real-time voice translation across international calls is rolling out in the U.S. this year. The leaders pointing at AI’s flaws today are judging it against a version that won’t exist in six months.
The pattern Jay has seen through four decades of technology shifts is consistent: the executives who dismissed personal computers, the internet, and smartphones used the same framing — it’s not ready, it’s not useful, it’s not for us. They were wrong every time.
3. Stop Using AI Like Google
This is the idea from the conversation that we think HR and operations leaders will benefit from most immediately.
Jay’s observation: most leaders are using ChatGPT and similar tools the way they used Google — typing in a question, reading the answer, moving on. That’s the lowest-value use case. The higher-value use is reasoning and reflection. The questions you can’t easily ask your team:
- What are my blind spots?
- What’s going to put me out of business?
- Read the last year of my team communications — what tone am I conveying? What am I overlooking?
- Where are we exposed to risk we’re not seeing?
Used this way, AI stops being a faster search engine and starts being a strategic thinking partner. Phil described a recent AAIM exercise where the team fed a year of internal data into an AI model and asked a single question: what are we missing? The insights that came back shaped strategic thinking the team wouldn’t have generated on its own.
4. Bias in AI Is a Real HR Exposure
This is the part of the conversation every HR leader should pay attention to before piloting anything AI-driven in hiring, screening, scoring, or performance.
Jay shared a cautionary story about a major tech company that built an AI model to predict which candidates would stay longest. The model performed well — until someone noticed it was only recommending men. The logic was technically sound and legally indefensible: the company’s longest-tenured employees were men, because its founders and early hires were men, so the AI learned that men stayed longer.
The lesson isn’t “don’t use AI in HR.” The lesson is that the question you ask the model shapes the answer it gives you. Get the question wrong — or feed it biased data — and you build discrimination into a system that looks objective on its face. The organizations deploying these tools responsibly are asking harder questions up front: What data was this trained on? What outcome is it optimizing for? What assumption is baked into the question we’re asking it to answer?
Before deploying AI in anything touching hiring or advancement decisions, get your advisor or employment counsel involved. Not after.
5. The Hiring Criteria Are Shifting
When Phil asked what non-negotiables should define the next round of hires, Jay’s answer was direct: collaboration, creativity, initiative. Then he sharpened it.
Someone who has done the same work the same way for a long time — even if they’ve been Salesperson of the Year — is “useless if they’re not adaptable.” That’s a direct challenge to how many organizations still weight tenure and pattern recognition in promotion and hiring decisions.
His second non-negotiable is one most job descriptions don’t yet reflect: baseline fluency with AI tools. Jay’s framing is worth borrowing directly — you wouldn’t hire someone today who couldn’t use Excel or email. The same standard is about to apply to AI. That doesn’t mean every candidate needs to be a prompt engineer. It means they need to know how to use these tools to do their actual job better, and they need to be curious about where the tools are heading.
For HR leaders, this is an opportunity to update interview questions, onboarding materials, and development plans now — rather than after the market has moved.
The Bottom Line
AI isn’t the disruption. Falling behind on it is. The leaders who will look strongest in five years aren’t the ones with the most sophisticated AI stack — they’re the ones whose people developed the judgment to use it well, starting now.
Jay will be continuing this conversation in depth — including agentic AI, how governments are using these tools, and what he learned working with everyone from Steve Jobs to Pope John Paul II — as the keynote at AAIM’s sold-out Leadership Conference on May 15. If you’re a member thinking through AI adoption inside your own organization and want to work through it with someone before then, the AAIM Solutions Team is a good place to start.
Want to Hear the Full Conversation?
Phil and Jay cover more ground than we could fit here — including the disappearance of language barriers in real time and the story behind Jay’s newest book, The Second Act Advantage.
Watch or listen to the full episode of This Week at Work.
