Rephonic
Artwork for Life, Automated
Artificial Intelligence
Technology
Bottlenecks
Kellogg School Of Management
Northwestern University
KQED
Automation
Labor Market
Data Centers, United States
Magic
Climate Change
Renewable Energy
Technology and Society
Economic Growth
Income Inequality
Joshua Jay
Audience Psychology
Deception

Life, Automated explores how to live, work, and make decisions in a world increasingly shaped by machines. Through thoughtful conversations with researchers, practitioners, artists, and more, we do our best to make sense of how technology is changing—and how it is changing us. We ask: What does the economy look like if AI can do much of what humans can? Will AI tools isolate us further, or steer u... more

PublishesWeeklyEpisodes7Founded2 months ago
Number of ListenersCategories
TechnologySociety & Culture

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Artwork for Life, Automated

Latest Episodes

“AI will revolutionize education!”

“No, it will destroy it!”

Well, which is it?

If history is any guide, the impact will be limited in either direction. In this episode, MIT education researcher Justin Reich walks through a century of hype cycles ... more

As AI tools spread through classrooms, many educators see a “cheating factory.” Kellogg Professor Sébastien Martin sees things differently: as a chance to reinvent how and what we teach. In his operations management class, students trade PDFs for lif... more

What does a healthy relationship with AI look like? Pat Pataranutaporn, researcher at the MIT Media Lab, explores how chatbots can either support or undermine human flourishing. Pat explains why it’s so easy to imagine a “someone” behind the screen a... more

When people go to a magic show, they expect to be fooled. That’s part of the fun. And magician Joshua Jay says much of the magician’s work is helping people fool themselves. Our brains are hardwired to fill in gaps, predict outcomes, and take cogniti... more

Are you hurting the planet every time you query a chatbot? Economist Meghan Busse suggests that may be the wrong question. In this episode, we zoom out from the usual concerns about frivolous queries (and, for that matter, resource‑hungry data center... more

Will AI actually take over every job ever? Economist Ben Jones doesn't think so. Drawing from historical evidence around innovation, Jones argues that automation never conquers everything — it inevitably creates operational bottlenecks that only huma... more

Life, Automated explores the surreal, exciting, and occasionally terrifying ways AI and automation are reshaping our daily lives.

Through thoughtful conversations with researchers, practitioners, artists, and more, we do our best to make sense of how... more

Key Facts

Accepts Guests
Accepts Sponsors
Contact Information
Podcast Host
Number of Listeners
Find out how many people listen to this podcast per episode and each month.

Recent Guests

Pat Pataranutaporn
Assistant Professor, MIT Media Lab
MIT Media Lab
Episode: Our Chatbot Friends and Lovers (with Pat Pataranutaporn)
Joshua Jay
Magician, author of How Magicians Think
Magician and author
Episode: Chatbots Don’t Fool Us, We Fool Ourselves (with Joshua Jay)
Meghan Busse
Economist and associate professor at the Kellogg School of Management
Kellogg School of Management
Episode: Does AI Have to Be Bad News for the Planet? (with Meghan Busse)
Ben Jones
Economist, co-director at the Ryan Institute
Ryan Institute, Kellogg School of Management (Northwestern University)
Episode: To Thrive Alongside AI, Find the Bottlenecks (with Ben Jones)

Host

Jess Love
Host of Life, Automated

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Apple Podcasts
#48
United States/Technology
Apple Podcasts
#35
Canada/Technology
Apple Podcasts
#98
United Kingdom/Technology
Apple Podcasts
#141
Germany/Technology
Apple Podcasts
#165
Australia/Technology
Apple Podcasts
#19
Indonesia/Technology
Apple Podcasts
#22
Saudi Arabia/Technology
Apple Podcasts
#41
Philippines/Technology
Apple Podcasts
#45
India/Technology
Apple Podcasts
#87
Belgium/Technology
Apple Podcasts
#110
New Zealand/Technology
Apple Podcasts
#113
Netherlands/Technology
Apple Podcasts
#121
Ireland/Technology
Apple Podcasts
#128
Japan/Technology
Apple Podcasts
#136
South Africa/Technology
Apple Podcasts
#140
Finland/Technology
Apple Podcasts
#152
Chile/Technology
Apple Podcasts
#156
Norway/Technology
Apple Podcasts
#161
Spain/Technology
Apple Podcasts
#174
Sweden/Technology
Apple Podcasts
#181
South Korea/Technology
Apple Podcasts
#186
Israel/Technology
Apple Podcasts
#226
Singapore/Technology
Apple Podcasts
#243
United Arab Emirates/Technology

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Eye On A.I.Craig S. Smith
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Hard Fork
Hard ForkThe New York Times

Talking Points

Recent interactions between the hosts and their guests.

Our Chatbot Friends and Lovers (with Pat Pataranutaporn)
Q: What might a useful benchmark for AI look like beyond traditional task performance?
A benchmark that measures long-term human flourishing, including education, mental health, and decision-making, possibly implemented as an AI nutrition label showing the broader impact on users over time.
Our Chatbot Friends and Lovers (with Pat Pataranutaporn)
Q: What has changed in human–AI interactions that warrants more scrutiny now?
The AI has shifted from rule-based, explicit-input systems to conversational agents that speak like humans, which amplifies anthropomorphism and can influence emotions, decisions, and social behavior in complex ways.
Chatbots Don’t Fool Us, We Fool Ourselves (with Joshua Jay)
Q: What was your first experience using a chat bot like, and did it feel like a magic trick?
The experience felt astonishing and like witnessing a magic show; it highlighted how audiences crave awe while recognizing the machine behind the response, shaping how they perceive interaction.
Does AI Have to Be Bad News for the Planet? (with Meghan Busse)
Q: Could AI data centers actually help the climate in the long run?
Yes, if demand accelerates the deployment of low-cost green energy and storage, and if companies pursue self-supply with renewables and advanced storage technologies; in the short run, there is risk if fossil fuels are used to meet demand.
Does AI Have to Be Bad News for the Planet? (with Meghan Busse)
Q: What should a concerned individual focus on to reduce climate impact today?
Meghan suggests prioritizing high-impact choices like reducing fossil fuel use in daily life (driving, heating, flying) and engaging in collective actions or voting to influence energy systems, rather than focusing on smaller, easily swayed behaviors like packing lists.

Audience Metrics

Listeners, social reach, demographics and more for this podcast.

Listeners per Episode
Gender Skew
Location
Interests
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Frequently Asked Questions About Life, Automated

What is Life, Automated about and what kind of topics does it cover?

Life, Automated investigates how intelligence—both human and machine—reshapes daily life, work, decision making, and social dynamics. Across recent episodes, listeners are invited to explore practical and ethical questions around AI's role in society, from human–machine relationships and emotional implications of chatbots to the environmental impact of data centers and the economics of automation. Conversations often balance rigorous research with accessible storytelling, featuring researchers, practitioners, and artists who illuminate both the promises and risks of an increasingly algorithmic world. A standout throughline is the attempt to help non-specialists gauge AI's future effects on work, education, and community, while not shying aw... more

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How many episodes of Life, Automated are there?

Life, Automated launched 2 months ago and published 7 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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What guests have appeared on Life, Automated?

Recent guests on Life, Automated include:

1. Pat Pataranutaporn
2. Joshua Jay
3. Meghan Busse
4. Ben Jones

To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.

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