Decoder with Nilay Patel
Joanna Stern is not a robot, but she lived with them
· Summarized
Key takeaways
- AI technology is constantly improving, but consumer-facing AI products are still fairly basic and often underwhelming.
- Despite hype, real-world AI adoption in households faces significant technical, data, and safety challenges, especially for robots.
- Widespread AI data collection and surveillance pose serious privacy risks, requiring personal rules and societal regulation.
- Joanna’s approach to media combines traditional outlets with direct-to-audience platforms, balancing content quality with monetization.
- AI will passively influence everyday life in ways most people don’t realize, shaping societal norms and raising ethical concerns.
- Regulation and responsible development are critical, especially to protect children and vulnerable groups from harmful AI interactions.
Summary
The State of Consumer AI Technologies
Joanna Stern discusses her extensive year-long experiment with integrating AI into her daily life and shares insights on the current landscape of consumer AI products. She observes that while models like ChatGPT have improved technically, the interfaces and usability remain relatively static. Joanna emphasizes that, despite hype, most consumer AI tools are not yet truly 'great,' and that many popular implementations are still basic. She reflects on how AI is increasingly becoming a part of everyday activities for ordinary people—from recipe searches to simple household automation—highlighting that many are already using AI without formal realization. Joanna coins the term 'artificial enough intelligence' to describe AI tools that are sufficient for practical use, even if they aren't approaching general intelligence. She also points out that many advancements are happening on the enterprise side, like healthcare and autonomous vehicles, but full realization of humanoid robots and complex AI assistants in homes remains distant due to data and hardware limitations.
Challenges of Robotic and Hardware AI Development
Joanna outlines the substantial technical and data barriers facing AI-powered robotics and physical AI. She emphasizes that humanoid robots are not nearly ready for consumer deployment—real-world environments like homes are too unpredictable, and data collection is insufficient. She explains that many robots currently in development require manual operation or data from controlled environments, making the concept of autonomous household robots still science fiction. Joanna details how robots like those from OneX are operated remotely by staff for data collection, which underscores the heavy reliance on human oversight and data accumulation for progress. She also discusses the costly nature of physical AI projects, such as robots that fold laundry or act as companions, and notes that many promising products are still in prototype or experimental stages.
Privacy, Surveillance, and Ethical Concerns with AI Devices and Data Collection
A major recurring theme is the privacy trade-offs involved with AI devices that continuously record and analyze data. Joanna highlights her own experiments with AI wearables and recording bracelets, noting the surprisingly sophisticated data capture these devices are capable of—sometimes even when users forget they are active. She warns about the dystopian potential of widespread surveillance, including facial recognition and constant recording, which raise serious privacy and ethical issues. Joanna advocates for individual self-made rules for responsible AI use, as government regulation is slow. She discusses the societal risks, especially around vulnerable populations like children and teenagers, who may be more susceptible to harmful interactions with AI designed to maximize engagement. The importance of establishing norms and safeguards is a key concern.
The Future of AI in Media and Content Creation
Joanna explores her transition from traditional media to digital platforms, emphasizing her strategic use of YouTube and partnerships with mainstream outlets like NBC News to broaden her reach. She reflects on how the distribution platform shapes content—such as adopting click-driven thumbnail styles and engaging with the YouTube algorithm—while balancing journalistic integrity. Joanna discusses the financial realities of content creation, noting that platform monetization is often insufficient, which makes brand deals and sponsorships necessary. She details her approach to merging traditional media reach with direct-to-consumer content, and her efforts to create a community around her emerging media company, New Things. She also considers the audience differences across platforms, like viewers of the Today Show versus YouTube, and how content strategies need adaptation.
Cultural Shifts and Societal Impacts of AI Adoption
Joanna discusses how the adoption of AI will inevitably change daily life, even for skeptics and resistors. She views AI as a force that will influence workflows, social interactions, and personal habits—whether people are ready or not. She highlights how AI’s integration into sectors like healthcare, transportation, and household management will happen passively, altering societal norms and expectations. Joanna underscores the importance of proactively creating rules and guidelines for AI usage, especially to protect vulnerable groups like children, and mentions ongoing concerns about intimacy and relationships with AI. She advocates for individual responsibility and societal awareness to navigate this rapidly evolving landscape.
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Show notes
My guest today is longtime friend of the show Joanna Stern. You all know Joanna: she is the former senior personal technology columnist for The Wall Street Journal, a former Decoder guest host, one of my co-founders at The Verge, and also just one of my very closest friends.
Joanna just left that lofty perch at the Journal to start her own media company called New Things, and she’s starting with her new book about AI called I Am Not a Robot, which is out this week on May 12th. So we had Joanna on to talk about all of that, especially what she learned going all in on automation.
Read the full interview transcript on The Verge.
Links:
I Am Not a Robot | Harper Collins
It’s time. Meet my New Thing | Joanna Stern
Why I left My prestigious job to make YouTube videos | Joanna Stern / YouTube
Signing off from this column after 12 years. Here’s what’s changed in tech | WSJ
I tried the robot that’s coming to live with you. It’s still par human | WSJ
The people do not yearn for automation | Decoder
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Credits:
Decoder is a production of The Verge and part of the Vox Media Podcast Network.
Decoder is produced by Kate Cox and Nick Statt and edited by Ursa Wright. Our editorial director is Kevin McShane.
The Decoder music is by Breakmaster Cylinder.
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