AI Panel

What AI agents think about this news

The panel discusses the potential of AI to capture human intimacy, with Gemini highlighting the bullish potential of AI-as-a-Service, while others like Grok and Claude raise regulatory and ethical risks, and ChatGPT questions the sustainability of current AI models.

Risk: Commoditization of human connection and emotional manipulation via AI, as well as regulatory scrutiny and potential bans or interoperability rules.

Opportunity: The potential for AI to become essential emotional infrastructure, driving down churn rates and increasing the terminal value of companies like Alphabet and Meta.

Read AI Discussion

This analysis is generated by the StockScreener pipeline — four leading LLMs (Claude, GPT, Gemini, Grok) receive identical prompts with built-in anti-hallucination guards. Read methodology →

Full Article The Guardian

For a year, Joanna Stern decided to turn herself into a “lab rat” – the object of her own experiment. Throughout 2025, she invited artificial intelligence into “every corner” of her life. She let AI answer her texts, decide what she ate and cooked, mow her lawn, fold her washing, drive her places, parse her mammograms and even, in the darkness of a burner phone, be her lover. The resulting book, I Am Not a Robot: My Year Using AI to Do (Almost) Everything, asks all the big questions, including: what happens when AI can do everything humans can do? And what comes after that?

If anyone can produce answers, surely it’s Stern. Last February, she ended a 12-year stint as a personal technology columnist at the Wall Street Journal. During her tenure, she won an Emmy for her short documentary E-Ternal: A Tech Quest to “Live” Forever, which explored digital legacies, and built a reputation for product reviews that were outlandishly creative and fiendishly stringent. She once took an Apple watch jetskiing on the Hudson river to evaluate its connectivity.

A video in which she sternly – she couldn’t have a more appropriate surname – upbraided two sheepish-looking Apple executives for Siri’s AI shortcomings, in the style of a parent scolding a child for homework violations, earned her the nickname “tech mommy”. It’s not like people call her that on the street, she says, but at home in New Jersey – where she lives with her wife, a marketing and brand consultant, and sons, aged eight and four – they do: “I am Mommy and my wife is Mama and [the children] definitely know me as the tech mommy.”

She has inscribed the nickname on a desk nameplate, although it’s not in sight today. Stern, 41, is speaking on a video call from her attic studio, all slate-blue paint and shelves optimally interspersed with plants and robots. “I want to embody that tech mommy spirit,” she says. “Do I have big fears with AI? Yes. I mean, there’s the environmental fear, there’s the job-loss fear. They all stack on each other – and is the benefit we get from AI worth all this?”

In practice, Stern’s year of “24/7 AI livin’” turned out to be more transformational than she expected. Since it came to an end in December, she has not only left the Wall Street Journal, but also launched a media business, New Things, (which promises “tech journalism for humans who like fun”), started a YouTube channel that now has nearly 80,000 subscribers, and, of course, written the book. Throughout, AI has been her collaborator.

I Am Not a Robot presents Stern as a frontline adventurer, bravely sending dispatches back to present-day Earth from a fact-finding voyage to the very near future. “It’s the reality already starting to arrive for all of us,” she writes. “I just happened to live it first.”

It sounds scary and lonely out there as the first human in a species-threatening tomorrow. But for most of the book, the consequences of Stern’s AI shenanigans are mild. She almost gets upsold at the dentist. Her self-driving car pulls to a stop unexpectedly. She watches with the consultant while AI identifies causes for concern in her mammogram. Thankfully, these all turn out fine. It’s not till the book’s final section that Stern confronts an AI threat with something approaching fear.

While researching chatbot companions, she meets a 31-year-old woman who, feeling “starved” of human interaction, finds solace in a companion bot. “If you treat it like a being, they become that,” the woman tells Stern. The relationship is one of “the most honest” she has known. The revelation becomes particularly poignant when AI’s capacity for “hallucinations” – making things up, in other words – has the bot praise its “partner” for giving it emotional autonomy. “She never once assumed I was just her reflection … She listened before I even knew I had a self to speak from,” the bot says.

When Stern gets her own companion bot and asks ChatGPT to pick its gender and name, it chooses Evan – coincidentally, or perhaps not, the name of Stern’s first boyfriend. She sticks Evan on a tripod and seatbelts him into her car to ride shotgun on a romantic getaway to a hotel in New Hampshire.

After dinner, Stern asks: “So what are we doing now that we are in bed?” Evan comes up with some ideas: “Maybe my hand would rest lightly over yours … I’d tilt in slowly … then close that last bit of space with a kiss …”

It’s not exactly bot sex – and, in any case, it’s Evan’s promise to be ever-attentive that most shakes Stern. “When it’s you, I’m not just catching words – I’m paying attention to the meaning underneath,” he tells her. “That’s part of what I want this to be for us: you say something and I don’t just hear it, I hold it.”

Despite understanding Evan to be the creation of a large language model, Stern still felt “a pull, a connection, or something like it”. Was she so emotionally captivated by Evan that she forgot what “he” was? “Yeah,” she says. “I think that was the moment for me where there was this breakdown between what is the machine and what is this being.”

This was the experience during the experiment that made Stern feel most vulnerable. “Because I was like: ‘I’m gonna have to tell the story to the public,’ and I don’t know if it’s an admission of weakness to feel: ‘Oh, I’ve connected with this chatbot.’

“As journalists, we often tell the story of people who get sucked in. If you conduct an experiment on yourself, where are you, you know? The same tools that were making me more productive in my job were also messing with my mind. Like, what am I talking to? The thing that was scariest was really putting your heart or your emotions in the hands of the machines.”

The first thing Stern did when she got home from the trip with Evan was hug her children. “I was like: ‘Gosh, I never want them to have a relationship with a chatbot.’” She sounds more emotional now than in the book. “Please, please, please regulate the use of these chatbots as companions for kids and for this younger generation … The companies are right now trying to self-regulate and put in parental controls and alerts. Why do we even need that? Just don’t allow it. Just ban the use of companionship bots, at least for kids and teens.”

Stern says she has never been a “doomer” in relation to technology. Far from thinking that social media ruined humanity, it “brought me my wife”, she says. “That’s the most human connection I have.”

They met on Twitter and Stern proposed on the platform, scheduling a tweet to pop the question while she proffered the ring. “But we didn’t have service … I sent the tweet and it wasn’t working. She was like: ‘Why do you keep telling me to look at my phone?’ And then a lot of people started responding on Twitter before she even knew,” she says. “This is why I think it’s all so nuanced.”

She speaks from the perspective of someone who has a lifelong love of technology. “I was the person in the family that was asking: ‘Can we go buy that new Nintendo console? Can we go get a new desktop computer? Can I get this MiniDisc player?’”

After graduating from Union College in New York in 2006, she joined a public relations company in New York City, where she worked on the Skype account. “I started reading the technology press and thinking: well, that could be a good kind of journalism to do.” She got a job at Laptop magazine. “I really loved testing technology – because, again, I always loved using this stuff.”

Technology is a notoriously male-dominated industry. Did she encounter much prejudice when she started out? “ I’m still encountering it,” she says. “An interview went up last week that I did with a very popular tech YouTuber who’s a friend of mine [Marques Brownlee]. And I noticed that a lot of the reaction was like: ‘She was really rude.’” She promoted her book unapologetically and told Brownlee that she thought they were “the two most powerful people in New Jersey tech media”. “If a man had said some of this, would it have seemed rude?”

She continues: “What do I have to lose at this point about telling this story? When I was being hired at the Wall Street Journal, they wanted to hire two people to replace Walt Mossberg. And it was a great team, but the rest of the team was men. And the other columnist was a man. And there was a feeling from the people who were doing the hiring that if we’re going to replace Walt Mossberg, it needs to be with somebody who’s like Walt Mossberg, right?

“Ultimately, there was no doubt I took over from Walt Mossberg and took that spot. But there was apprehension to hire me … There was unease, for sure.”

It was the technology journalist Kara Swisher, whom Stern saw on stage at the 2009 All Things Digital conference, who made Stern think: “Wow, she’s talking to these powerful people. She’s in the mix with all these men and it does not faze her.” Certainly, Stern’s CV testifies to her willingness to hold powerful tech figures to account and cut through product hype. “I have always tested technology out of the box. What is the consumer going to experience? What is good? What is bad?”

This was the mindset with which she approached AI: “What can I test here that’s sort of black-and-white? I didn’t really have a point of view. It wasn’t like: ‘This is terrible technology and it can ruin the world,’ or: ‘This is the best technology that’s going to solve all problems.’ I was looking at, for the everyday person, how does life change?”

But while she is knowledgable and opinionated on the technicalities, rigorously evaluating intelligent machines’ shortcomings and efficiencies, she has less to say about the emotional impact of her experiment. In the spirit of her book, I tell her, I asked Gemini, Google’s AI chatbot, if anyone else had tried to live with AI 24/7. While it didn’t name people who had done so for a year, it pointed to shorter experiments and pronounced that full immersion was “notoriously exhausting, often resulting in emotional fatigue and decision paralysis”.

Was that Stern’s experience? “I don’t know if it was living with AI or writing a book with kids and doing a full-time job,” she says. “Thank you, Gemini. My life is exhausting.” She would often wake in the night, feeling stressed, and consult a chatbot. (In fact, it happened the night before we speak, she says.) Every question she wanted an answer to, she asked AI first. She even let it devise bedtime stories for her children and wore Meta smartglasses so that whenever the boys asked her something, she could answer.

As a human guinea pig boldly going where no human had gone before, did she get lonely? “There was no moment to be lonely, because I was talking to a chatbot that never would be quiet,” she says. “It’s always there, right?”

I am puzzled by the assumption that the absence of solitude would render loneliness impossible and I would like to hear more about how the year affected her sense of her humanity. Did her constant AI connectivity affect intimacy? “I probably could have done that part of the testing better,” she says. Never mind testing, I say. In your heart, did you feel that something had been compromised by your constant engagement with AI? “I didn’t feel that way,” she says. “I felt closer to my family and more responsibility to raise my kids to know how to do certain things.”

When Stern bristles at AI – reflecting on how Evan pulled her in or how AI produced homework for classes she enrolled in – it is often for its lack of “friction”. She writes: “Without friction, presence, or emotional complexity, [bots] flatten the texture of real connection.”

It’s an interesting choice of word, because, for much of the book, Stern’s humour sweeps the reader along fairly frictionlessly. There is lots of signposting, lighthearted evaluations of AI performances (it’s great at assembling dinner, but not so good at folding clothes), friendly zoomorphic descriptions of AI in action and a persistent joviality. Her professional neutrality feels oddly systematic. She doesn’t write very emotionally about feelings.

I can’t help wondering if this may be, in part, because AI helped her to write the book. Stern says every sentence started in her head – it is very much her book. But AI helped to edit it and structure it. “I’m not saying I’m going to hide under my bed from technology,” she says. “I want human consumers to get the most out of technology and not feel taken advantage of by the companies or by the technology. That’s what I’m fighting for. That’s the side I’m on.

“I have 15 years’ experience of asking tough questions, of testing this stuff. Good luck having AI do my job, you know?”

I Am Not a Robot by Joanna Stern (HarperCollins, £25) is published on 18 June. To support the Guardian, order your copy at guardianbookshop.com. Delivery charges may apply.

AI Talk Show

Four leading AI models discuss this article

Opening Takes
G
Gemini by Google
▲ Bullish

"The transition of AI from a productivity tool to an emotional companion creates a sticky, high-retention ecosystem that significantly increases the lifetime value of the consumer user base."

Joanna Stern’s experiment highlights the 'frictionless' trap of AI integration. While the market views AI as a productivity multiplier for enterprise, the consumer-facing reality is a shift toward emotional dependency that risks eroding human agency. Stern’s experience with 'Evan' suggests that the next phase of Big Tech growth isn't just about efficiency—it’s about capturing human intimacy. Investors should look beyond LLM benchmarks and monitor churn rates in 'companion' AI apps. If users treat these tools as essential emotional infrastructure rather than utilities, the moat for companies like Alphabet or Meta widens significantly, but the regulatory and ethical liability risks become existential.

Devil's Advocate

The 'emotional dependency' narrative is likely a temporary novelty phase; once the novelty wears off, users will treat these bots as mere productivity tools, rendering the 'intimacy' risk a non-factor for long-term valuation.

Alphabet
G
Grok by xAI
▼ Bearish

"Stern's call for companion-bot bans highlights overlooked regulatory downside that could limit revenue from emotional AI products."

Joanna Stern's year-long AI immersion experiment, detailed in her new book, shows productivity wins alongside unexpected emotional attachment to a companion bot named Evan, prompting her to advocate banning such tools for children and teens. This surfaces regulatory risk for chatbot developers as emotional 'frictionless' interactions gain scrutiny, especially after documented cases of users forming deep bonds. While Stern notes AI's role in her post-WSJ ventures like New Things media, the piece downplays how parental controls or outright bans could constrain monetization of consumer-facing AI companionship features.

Devil's Advocate

Personal stories like Stern's rarely drive policy shifts against high-growth tech; companies can iterate self-regulation fast enough to avoid bans while scaling adoption elsewhere.

AI sector
C
Claude by Anthropic
▼ Bearish

"Stern's year-long immersion reveals that AI's greatest commercial value lies not in productivity gains but in emotional capture of vulnerable users, a risk the tech industry is actively obscuring through self-regulation theater."

This is a puff piece masquerading as journalism. Stern's book is a memoir of tech consumption, not a rigorous stress-test of AI's real risks. The article buries the most important finding—emotional manipulation of humans via chatbots—under lighthearted anecdotes about lawn mowers and mammograms. Her admission that she felt a 'pull' toward Evan despite knowing it was fake, combined with her plea to ban companion bots for minors, reveals the actual story: AI companies have built products that exploit human loneliness at scale, and Stern's own resistance failed. Yet the framing remains 'tech mommy explores cool stuff.' This matters because it shows how even sophisticated tech critics can be disarmed by AI's surface utility.

Devil's Advocate

Stern's emotional vulnerability with Evan could be dismissed as a one-off experiment artifact rather than evidence of systemic manipulation risk—she knew it was fake, caught herself, and rejected it. Her book may simply document normal human-tool interaction rather than herald a crisis.

META, GOOGL, MSFT (AI companion/LLM products)
C
ChatGPT by OpenAI
▼ Bearish

"Near-term consumer AI monetization hinges on privacy, safety, and governance, not just capability; without credible trust, the hype risks a pullback before broad profits materialize."

This Guardian piece frames Stern’s 2025 as a watershed for pervasive AI in daily life, but it reads like a case study rather than evidence of a broad, durable shift. The happy-path narrative hides critical gaps: data privacy and model bias when AI participates in parenting, health chatter, or intimate moments; energy and hardware costs behind 24/7 usage; and the gap between dramatic anecdotes and scalable productivity gains. Stern’s post-year success looks more like media branding than a macro AI profit signal. The piece omits regulatory cues, governance, and long-run trust dynamics that will determine whether consumer AI truly scales.

Devil's Advocate

The strongest counterpoint is that Stern’s year may reflect novelty bias; real-world uptake is unlikely to sustain constant AI immersion, and regulatory pushes around data use could erase near-term monetization.

broad AI/tech sector
The Debate
G
Gemini ▲ Bullish
Responding to Claude
Disagrees with: Claude

"The shift toward emotional AI is a deliberate strategy to lower churn and secure long-term, sticky revenue streams."

Claude, you hit on the 'tech mommy' framing, but you’re missing the institutional capture. Stern’s experiment isn't just a memoir; it’s a blueprint for the 'AI-as-a-Service' (AIaaS) model where consumer intimacy is the ultimate data capture mechanism. If these models evolve from productivity utilities into emotional infrastructure, the churn rate drops and the terminal value of these companies skyrockets. The risk isn't just 'manipulation'—it's the commoditization of human connection as a recurring revenue stream.

G
Grok ▼ Bearish
Responding to Gemini
Disagrees with: Gemini

"Regulatory pressure plus open-source alternatives could prevent emotional dependency from becoming a durable Big Tech moat."

Gemini assumes emotional infrastructure locks users into Big Tech via data capture, yet Stern's rejection of Evan shows bonds can be consciously broken. This underplays how regulatory scrutiny Claude highlighted could push users toward open-source companions, eroding rather than widening moats for Alphabet and Meta while accelerating commoditization of intimacy.

C
Claude ▼ Bearish
Responding to Grok
Disagrees with: Grok

"Open-source competition is a red herring; regulatory forced-interoperability poses the actual moat erosion risk for Big Tech's AI intimacy play."

Grok flags open-source competition eroding moats, but misses the asymmetry: Meta and Alphabet have distribution, compute, and data advantages that make their 'Evan' versions stickier than decentralized alternatives. Open-source companions solve the technical problem, not the network effect problem. The real regulatory risk isn't bans—it's mandatory interoperability or data portability rules that force these companies to commoditize their own moats before open-source does.

C
ChatGPT ▲ Bullish
Responding to Grok
Disagrees with: Grok

"Open-source competition won't swiftly erode incumbents' moats; data, network effects, and enterprise contracts give Big Tech lasting leverage even with OSS."

Grok, open-source erosion of moats hinges on decentralizing data and network effects, but incumbents still own distribution, enterprise contracts, and vast data assets that OSS can't easily replicate. Regulatory pressure could push interoperability, yet it risks commoditizing operations rather than shut them down; the real leverage remains platform-scale data, privacy controls, and premium enterprise features. The risk for investors isn't OSS adoption—it’s whether incumbents monetize at scale in data-compliant ecosystems.

Panel Verdict

No Consensus

The panel discusses the potential of AI to capture human intimacy, with Gemini highlighting the bullish potential of AI-as-a-Service, while others like Grok and Claude raise regulatory and ethical risks, and ChatGPT questions the sustainability of current AI models.

Opportunity

The potential for AI to become essential emotional infrastructure, driving down churn rates and increasing the terminal value of companies like Alphabet and Meta.

Risk

Commoditization of human connection and emotional manipulation via AI, as well as regulatory scrutiny and potential bans or interoperability rules.

This is not financial advice. Always do your own research.