Bad Advice - All Things Product Podcast with Teresa Torres & Petra Wille

March 25, 2026

Here's something that might make you think twice — AI is starting to clone voices and ideas from podcasts and public content. But here's the thing — just because AI can sound like someone doesn’t mean it captures their true thinking. Teresa Torres, writing in Business, points out that AI-generated advice from public transcripts often lacks the nuance, judgment, and evolution that come with real expertise. And get this — when AI outputs are mediocre or misleading, it’s easy to forget there's a human behind those ideas. Petra Wille and Teresa explore the ethical lines around open-sourcing transcripts and how creators struggle to protect their IP. So, what does this mean for you? Well, if you’re using AI to emulate someone you admire, it’s vital to remember — respect, consent, and quality matter. As Teresa highlights, genuine expertise isn’t just about past content; it’s about context and growth. The future’s exciting, but we need to stay mindful of who’s behind the ideas we’re borrowing.

Listen to this episode on: Spotify | Apple Podcasts

What happens when AI starts giving advice in your voice — advice you’d never actually give?

In this episode, Petra Wille and Teresa Torres unpack the rise of AI “clones” built from podcast transcripts and public content. They explore where experimentation is exciting, where it crosses ethical lines, and what happens when mediocre AI outputs get attributed to real people.

They discuss IP, open-sourced transcripts, pirated books in LLMs, inference costs, and the uncomfortable question: if anyone can prompt “act like Teresa,” how do creators make a living?

This isn’t anti-AI. It’s a nuanced conversation about quality, consent, and remembering there are real humans behind the ideas.

In This Episode

The problem with AI bots built from public transcripts
Why “it’s not me” matters when AI gives bad advice
The difference between average AI outputs and expert thinking
Open-sourcing transcripts and who owns the IP
Why “technically possible” doesn’t mean “ethically okay”
How creators can survive in a world of AI-generated expertise

Key Takeaways

Using AI for perspective is fine — equating it to the real person isn’t.
Free-feeling AI outputs still rely on someone’s work.
Expertise is more than past content — it’s context, judgment, and evolution.
If someone’s work influences you, find a way to support them.

Listener Reflection Questions

Have you ever used AI to “act like” someone you admire?
Could you tell whether the output matched that person’s actual thinking?
How do you decide what’s ethically okay when using public content in LLMs?
How can we support creators while still embracing new tools?

Resources & Links:

Follow Teresa Torres: https://ProductTalk.org
Follow Petra Wille: https://Petra-Wille.com

Mentioned in this episode:

Delphi.ai (AI bot platform discussed)
Lenny’s Podcast
ChatGPT
Petra’s Coaching Packages
Teresa’s Product Talk
Teresa’s book Continuous Discovery Habits
Lenny’s open-sourced podcast transcripts

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Full Transcript

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Audio Transcript

Listen to this episode on: Spotify | Apple Podcasts

What happens when AI starts giving advice in your voice — advice you’d never actually give?

They discuss IP, open-sourced transcripts, pirated books in LLMs, inference costs, and the uncomfortable question: if anyone can prompt “act like Teresa,” how do creators make a living?

This isn’t anti-AI. It’s a nuanced conversation about quality, consent, and remembering there are real humans behind the ideas.

In This Episode