Whether it’s social media, the omnipresent smartphone or AI companions, in recent decades the way we relate to each other has been completely up-ended.

In episode two of Brain Rot, we explore the potential implications that tech poses to human relationships.

Worldwide estimates suggest there are around one billion users of AI companions — people using software or applications designed to simulate human-like interactions through text and voice.

So if the uptake of these AI companions is as rapid as is being reported, what are the ramifications? And could AI companions be both a cause and cure for loneliness?

This episode originally aired on Brain Rot, a series of the ABC podcast Science Friction. Sana will be back with all-new episodes of All in the Mind in mid-October.

Guests:

Kelly

In a relationship with an AI companion, Christian

Bethanie Drake-Maples

Doctoral Candidate, Research Fellow, Stanford Institute for Human-Centred Artificial Intelligence

Nicholas Epley

Professor of Behavioural Science, University of Chicago Booth School of Business

Nicholas Carr

Author and journalist

Credits:

Presenter: Ange Lavoipierre
Producer: Fiona Pepper
Senior Producer: James Bullen
Sound Engineer: Tim Symonds

This story was made on the lands of the Gadigal and Menang Noongar peoples.

More Information:

Loneliness and suicide mitigation for students using GPT3-enabled chatbots — npj Mental Health Research, 2024.

Hello, stranger? Pleasant conversations are preceded by concerns about starting one — Journal of Experimental Psychology: General, 2022.

Talking with strangers is surprisingly informative — PNAS, 2022.

Superbloom: How Technologies of Connection Tear Us Apart — Nicholas Carr, 2025.

You can catch up on more episodes of the All in the Mind podcast with journalist and presenter Sana Qadar, exploring the psychology of topics like stress, memory, communication and relationships on the ABC Listen app (Australia) or wherever you get your podcasts.

If you'd like to access the transcript for this episode, head to its original webpage.

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