Adele published a quiet episode about walking her dog. Within a day, dozens of emails arrived pitching podcast guests, and nearly every one quoted the exact same abstract phrase back to her. None of the senders had listened. This is what happens when the effort that used to prove attention gets automated away, and why nobody in the production machinery has a clue that it failed the end recipient. The irony is that most of the pitches were generated by AI to promote guests hoping to be booked to talk about the importance of authenticity and being human in the age of AI.

AI podcast booking tools scrape transcripts of newly published episodes, extract a quotable phrase, and generate personalized-looking guest pitches at scale, often without anyone listening to the episode. When the effort that once proved genuine attention is automated away, the host can no longer distinguish real interest from generated flattery. The failure is invisible to the sender because no feedback loop exists to report that the pitch fell flat.

#AI #ArtificialIntelligence #Podcast #Automation #FutureOfWork #Technology #WorkSlop #AISlop #Podcasting #ColdOutreach #AIEthics #HumanConnection #DigitalCulture

Q&A

Why am I getting so many AI-generated podcast guest pitches promoting authenticity?

How can you tell a podcast pitch was written by AI?

What does automated outreach do to genuine signals of attention?

You can know a person for years and never learn their name. You know their dog, though. You know Max is reactive, that Sophie just had surgery, that the golden at the corner loses his mind the second he spots you. The human stays a little bit of a mystery, and somehow that works fine.

This is a solo episode about the friendships that live entirely on the sidewalk. How a dog gives two strangers permission to stop and talk. Why the dog's name sticks while the owner's slides right off. And why these light, low-stakes connections do real work in a neighborhood, the kind of work that used to belong to front porches and corner shops.

I used to think relationships like this were shallow. I've changed my mind. There is a particular comfort in being recognized by someone who isn't asking for your whole life in return. We want to be known. We don't always want to be examined. A good dog walk hands you the first without the second.

If you have ever hidden the fact that you forgot someone's name for the eighth time, this one is for you.

Listen, then tell me: how many dogs on your street do you know by name, and how many owners?

Watch the video version on YouTube: All Things Human with Adele Wang

Essays: Wired for Meaning on Substack

Connect with Adele on LinkedIn

Psychologists call it contamination theory. When something pure comes into contact with something threatening — even at trace levels — we consider the whole thing spoiled. Researchers are now finding the same response in how audiences value creative work that involves AI.

In this episode, I walk through a recent University of Chicago study where participants bid real money for art prints at different levels of AI involvement: 100% human, 1% AI-assisted, 30% AI-generated. The result was striking. The penalty for 1% AI involvement was nearly identical to the penalty for 30%. The contamination response isn't proportional. It doesn't respond to information. And across multiple studies spanning 2023 to 2026, better AI technology didn't change it.

We also get into what this means practically for creators. Audiences consistently pay a premium for work that carries evidence of irreplaceable human time and effort. Those same audiences now expect a level of polish that AI tools produce. Both things are true at once, and there's no clean way through it.

What are we actually protecting when we resist AI in creative work? Quality? The studies suggest probably not, since the work can be identical. Something harder to name — proof that a specific person chose to spend finite time on something they didn't have to.

This episode doesn't resolve the tension. It tries to name what's underneath it.

Topics: AI and creativity, AI disclosure, content authenticity, creator economy, contamination theory, human creativity, AI ethics, content strategy, AI-generated art, podcast about AI, staying human in the age of AI.

#AIandCreativity #ContentStrategy #CreatorEconomy #HumanCreativity #AIDisclosure #ContentCreators #AIEthics #DigitalCreativity #Authenticity #FutureOfContent