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How to have a child in the digital age

When the journalist and culture critic Amanda Hess got pregnant with her first child, in 2020, the internet was among the first to know. “More brands knew about my pregnancy than people did,” she writes of the torrent of targeted ads that came her way. “They all called me mama.”  The internet held the promise of limitless information about becoming the perfect parent. But at seven months, Hess went in for an ultrasound appointment and everything shifted. The sonogram looked atypical. As she waited in an exam room for a doctor to go over the results, she felt the urge to reach for her phone. Though it “was ludicrous,” she writes, “in my panic, it felt incontrovertible: If I searched it smart and fast enough, the internet would save us. I had constructed my life through its screens, mapped the world along its circuits. Now I would make a second life there too.” Her doctor informed her of the condition he suspected her baby might have and told her, “Don’t google it.” Unsurprisingly, that didn’t stop her. In fact, she writes, the more medical information that doctors produced—after weeks of escalating tests, her son was ultimately diagnosed with Beckwith-Wiedemann syndrome—the more digitally dependent she became: “I found I was turning to the internet, as opposed to my friends or my doctors, to resolve my feelings and emotions about what was happening to me and to exert a sense of external control over my body.”   But how do we retain control over our bodies when corporations and the medical establishment have access to our most personal information? What happens when humans stop relying on their village, or even their family, for advice on having a kid and instead go online, where there’s a constant onslaught of information? How do we make sense of the contradictions of the internet—the tension between what’s inherently artificial and the “natural” methods its denizens are so eager to promote? In her new book, Second Life: Having a Child in the Digital Age (Doubleday, 2025), Hess explores these questions while delving into her firsthand experiences with apps, products, algorithms, online forums, advertisers, and more—each promising an easier, healthier, better path to parenthood. After welcoming her son, who is now healthy, in 2020 and another in 2022, Hess is the perfect person to ask: Is that really what they’re delivering?  In your book, you write, “I imagined my [pregnancy] test’s pink dye spreading across Instagram, Facebook, Amazon. All around me, a techno-­corporate infrastructure was locking into place. I could sense the advertising algorithms recalibrating and the branded newsletters assembling in their queues. I knew that I was supposed to think of targeted advertising as evil, but I had never experienced it that way.” Can you unpack this a bit? Before my pregnancy, I never felt like advertising technology was particularly smart or specific. So when my Instagram ads immediately clocked my pregnancy, it came as a bit of a surprise, and I realized that I was unaware of exactly how ad tech worked and how vast its reach was. It felt particularly eerie in this case because in the beginning my pregnancy was a secret that I kept from everyone except my spouse, so “the internet” was the only thing that was talking to me about it. Advertising became so personalized that it started to feel intimate, even though it was the opposite of that—it represented the corporate obliteration of my privacy. The pregnancy ads reached me before a doctor would even agree to see me. Though your book was written before generative AI became so ubiquitous, I imagine you’ve thought about how it changes things. You write, “As soon as I got pregnant, I typed ‘what to do when you get pregnant’ in my phone, and now advertisers were supplying their own answers.” What do the rise of AI and the dramatic changes in search mean for someone who gets pregnant today and goes online for answers? I just googled “what to do when you get pregnant” to see what Google’s generative AI widget tells me now, and it’s largely spitting out commonsensical recommendations: Make an appointment to see a doctor. Stop smoking cigarettes. That is followed by sponsored content from Babylist, an online baby registry company that is deeply enmeshed in the ad-tech system, and Perelel, a startup that sells expensive prenatal supplements.  So whether or not the search engine is using AI, the information it’s providing to the newly pregnant is not particularly helpful or meaningful.  The Clue period-tracking appAMIE CHUNG/TRUNK ARCHIVE The internet “made me feel like I had some kind of relationship with my phone, when all it was really doing was staging a scene of information that it could monetize.” For me, the oddly tantalizing thing was that I had asked the internet a question and it gave me something in response, as if we had a reciprocal relationship. So even before AI was embedded in these systems, they were fulfilling the same role for me—as a kind of synthetic conversation partner. It made me feel like I had some kind of relationship with my phone, when all it was really doing was staging a scene of information that it could monetize.  As I wrote the book, I did put some pregnancy­-related questions to ChatGPT to try to get a sense of the values and assumptions that are encoded in its knowledge base. I asked for an image of a fetus, and it provided this garishly cartoonish, big-eyed cherub in response. But when I asked for a realistic image of a postpartum body, it refused to generate one for me! It was really an extension of something I write about in the book, which is that the image of the fetus is fetishized in a lot of these tech products while the pregnant or postpartum body is largely erased.  You have this great—but quite sad—quote from a woman on TikTok who said, “I keep hearing it takes a village to raise a child. Do they just show up, or is there a number to call?”  I really identified with that sentiment, while at the same time being suspicious of this idea that can we just call a hotline to conjure this village? I am really interested that so many parent-­focused technologies sell themselves this way. [The pediatrician] Harvey Karp says that the Snoo, this robotic crib he created, is the new village. The parenting site Big Little Feelings describes its podcast listeners as a village. The maternity clothing brand Bumpsuit produces a podcast that’s actually called The Village. By using that phrase, these companies are evoking an idealized past that may never have existed, to sell consumer solutions. A society that provides communal support for children and parents is pitched as this ancient and irretrievable idea, as opposed to something that we could build in the future if we wanted to. It will take more than just, like, ordering something. And the benefit of many of those robotic or “smart” products seems a bit nebulous. You share, for example, that the Nanit baby monitor told you your son was “sleeping more efficiently than 96% of babies, a solid A.” I’m skeptical of this idea that a piece of consumer technology will really solve a serious problem families or children have. And if it does solve that problem, it only solves it for people who can afford it, which is reprehensible on some level. These products might create a positive difference for how long your baby is sleeping or how easy the diaper is to put on or whatever, but they are Band-Aids on a larger problem. I often found when I was testing out some of these products that the data [provided] was completely useless. My friend who uses the Nanit texted me the other day because she had found a new feature on its camera that showed you a heat map of where your baby had slept in the crib the night before. There is no use for that information, but when you see the heat map, you can try to interpret it to get some useless clues to your baby’s personality. It’s like a BuzzFeed quiz for your baby, where you can say, “Oh, he’s such, like, a right-side king,” or “He’s a down-the-middle guy,” or whatever.  The Snoo Smart Sleeper BassinetCOURTESY OF HAPPIEST BABY “[Companies are] marketing a cure for the parents’ anxiety, but the product itself is attached to the body of a newborn child.” These products encourage you to see your child themselves as an extension of the technology; Karp even talks about there being an on switch and an off switch in your baby for soothing. So if you do the “right” set of movements to activate the right switch, you can make the baby acquire some desirable trait, which I think is just an extension of this idea that your child can be under your complete control. … which is very much the fantasy when you’re a parent. These devices are often marketed as quasi-­medical devices. There’s a converging of consumer and medical categories in baby consumer tech, where the products are marketed as useful to any potential baby, including one who has a serious medical diagnosis or one who is completely healthy. These companies still want you to put a pulse oximeter on a healthy baby, just in case. They’re marketing a cure for the parents’ anxiety, but the product itself is attached to the body of a newborn child. After spending so much time in hospital settings with my child hooked up to monitors, I was really excited to end that. So I’m interested in this opposite reaction, where there’s this urge to extend that experience, to take personal control of something that feels medical. Even though I would search out any medical treatment that would help keep my kids healthy, childhood medical experiences can cause a lot of confusion and trauma for kids and their families, even when the results are positive. When you take that medical experience and turn it into something that’s very sleek and fits in your color scheme and is totally under your control, I think it can feel like you are seizing authority over that scary space. Another thing you write about is how images define idealized versions of pregnancy and motherhood.  I became interested in a famous photograph that a Swedish photographer named Lennart Nilsson took in the 1960s that was published on the cover of Life magazine. It’s an image of a 20-week-old fetus, and it’s advertised as the world’s first glimpse of life inside the womb. I bought a copy of the issue off eBay and opened the issue to find a little editor’s note saying that the cover fetus was actually a fetus that had been removed from its mother’s body through surgery. It wasn’t a picture of life—it was a picture of an abortion.  I was interested in how Nilsson staged this fetal body to make it look celestial, like it was floating in space, and I recognized a lot of the elements of his work being incorporated in the tech products that I was using, like the CGI fetus generated by my pregnancy app, Flo.  You also write about the images being provided at nonmedical sonogram clinics. I was trying to google the address of a medical imaging center during my pregnancy when I came across a commercial sonogram clinic. There are hundreds of them around the country, with cutesy names like “Cherished Memories” and “You Kiss We Tell.”  In the book I explore how technologies like ultrasound are used as essentially narrative devices, shaping the way that people think about their bodies and their pregnancies. Ultrasound is odd because it’s a medical technology that’s used to diagnose dangerous and scary conditions, but prospective parents are encouraged to view it as a kind of entertainment service while it’s happening. These commercial sonogram clinics interest me because they promise to completely banish the medical associations of the technology and elevate it into a pure consumer experience.  The Nanit Pro baby monitor with Flex StandCOURTESY OF NANIT You write about “natural” childbirth, which, on the face of it, would seem counter to the digital age. As you note, the movement has always been about storytelling, and the story that it’s telling is really about pain. When I was pregnant, I became really fascinated with people who discuss freebirth online, which is a practice on the very extreme end of “natural” childbirth rituals—where people give birth at home unassisted, with no obstetrician, midwife, or doula present. Sometimes they also refuse ultrasounds, vaccinations, or all prenatal care. I was interested in how this refusal of medical technology was being technologically promoted, through podcasts, YouTube videos, and Facebook groups.  It struck me that a lot of the freebirth influencers I saw were interested in exerting supreme control over their pregnancies and children, leaving nothing under the power of medical experts or government regulators. And they were also interested in controlling the narratives of their births—making sure that the moment their children came into the world was staged with compelling imagery that centered them as the protagonist of the event. Video evidence of the most extreme examples—like the woman who freebirthed into the ocean—could go viral and launch the freebirther’s personal brand as a digital wellness guru in her own right.  The phrase “natural childbirth” was coined by a British doctor, Grantly Dick-Read, in the 1920s. There’s a very funny section in his book for prospective mothers where he complains that women keep telling each other that childbirth hurts, and he claimed that the very idea that childbirth hurts was what created the pain, because birthing women were acting too tense. Dick-Read, like many of his contemporaries, had a racist theory that women he called “primitive” experienced no pain in childbirth because they hadn’t been exposed to white middle-class education and technologies. When I read his work, I was fascinated by the fact that he also described birth as a kind of performance, even back then. He claimed that undisturbed childbirths were totally painless, and he coached women through labor in an attempt to achieve them. Painless childbirth was pitched as a reward for reaching this peak state of natural femininity. He was really into eugenics, by the way! I see a lot of him in the current presentation of “natural” childbirth online—[proponents] are still invested in a kind of denial, or suppression, of a woman’s actual experience in the pursuit of some unattainable ideal. Recently, I saw one Instagram post from a woman who claimed to have had a supernaturally pain-free childbirth, and she looks so pained and miserable in the photos, it’s absurd.  I wanted to ask you about Clue and Flo, two very different period-tracking apps. Their contrasting origin stories are striking.  I downloaded Flo as my period-tracking app many years ago for one reason: It was the first app that came up when I searched in the app store. Later, when I looked into its origins, I found that Flo was created by two brothers, cisgender men who do not menstruate, and that it had quickly outperformed and outearned an existing period-tracking app, Clue, which was created by a woman, Ida Tin, a few years earlier.  The elements that make an app profitable and successful are not the same as the ones that users may actually want or need. My experience with Flo, especially after I became pregnant, was that it seemed designed to get me to open the app as frequently as possible, even if it didn’t have any new information to provide me about my pregnancy. Flo pitches itself as a kind of artificial nurse, even though it can’t actually examine you or your baby, but this kind of digital substitute has also become increasingly powerful as inequities in maternity care widen and decent care becomes less accessible. “Doctors and nurses test pregnant women for drugs without their explicit consent or tip off authorities to pregnant people they suspect of mishandling their pregnancies in some way.” One of the features of Flo I spent a lot of time with was its “Secret Chats” area, where anonymous users come together to go off about pregnancy. It was actually really fun, and it kept me coming back to Flo again and again, especially when I wasn’t discussing my pregnancy with people in real life. But it was also the place where I learned that digital connections are not nearly as helpful as physical connections; you can’t come over and help the anonymous secret chat friend soothe her baby.  I’d asked Ida Tin if she considered adding a social or chat element to Clue, and she told me that she decided against it because it’s impossible to stem the misinformation that surfaces in a space like that. You write that Flo “made it seem like I was making the empowered choice by surveilling myself.” After Roe was overturned, many women publicly opted out of that sort of surveillance by deleting their period-tracking apps. But you mention that it’s not just the apps that are sharing information. When I spoke to attorneys who defend women in pregnancy criminalization cases, I found that they had not yet seen a case in which the government actually relied on data from those apps. In some cases, they have relied on users’ Google searches and Facebook messages, but far and away the central surveillance source that governments use is the medical system itself.  Doctors and nurses test pregnant women for drugs without their explicit consent or tip off authorities to pregnant people they suspect of mishandling their pregnancies in some way. I’m interested in the fact that media coverage has focused so much on the potential danger of period apps and less on the real, established threat. I think it’s because it provides a deceptively simple solution: Just delete your period app to protect yourself. It’s much harder to dismantle the surveillance systems that are actually in place. You can’t just delete your doctor.  This interview, which was conducted by phone and email, has been condensed and edited.

When the journalist and culture critic Amanda Hess got pregnant with her first child, in 2020, the internet was among the first to know. “More brands knew about my pregnancy than people did,” she writes of the torrent of targeted ads that came her way. “They all called me mama.” 

The internet held the promise of limitless information about becoming the perfect parent. But at seven months, Hess went in for an ultrasound appointment and everything shifted. The sonogram looked atypical. As she waited in an exam room for a doctor to go over the results, she felt the urge to reach for her phone. Though it “was ludicrous,” she writes, “in my panic, it felt incontrovertible: If I searched it smart and fast enough, the internet would save us. I had constructed my life through its screens, mapped the world along its circuits. Now I would make a second life there too.” Her doctor informed her of the condition he suspected her baby might have and told her, “Don’t google it.”

Unsurprisingly, that didn’t stop her. In fact, she writes, the more medical information that doctors produced—after weeks of escalating tests, her son was ultimately diagnosed with Beckwith-Wiedemann syndrome—the more digitally dependent she became: “I found I was turning to the internet, as opposed to my friends or my doctors, to resolve my feelings and emotions about what was happening to me and to exert a sense of external control over my body.”  

But how do we retain control over our bodies when corporations and the medical establishment have access to our most personal information? What happens when humans stop relying on their village, or even their family, for advice on having a kid and instead go online, where there’s a constant onslaught of information? How do we make sense of the contradictions of the internet—the tension between what’s inherently artificial and the “natural” methods its denizens are so eager to promote? In her new book, Second Life: Having a Child in the Digital Age (Doubleday, 2025), Hess explores these questions while delving into her firsthand experiences with apps, products, algorithms, online forums, advertisers, and more—each promising an easier, healthier, better path to parenthood. After welcoming her son, who is now healthy, in 2020 and another in 2022, Hess is the perfect person to ask: Is that really what they’re delivering? 

In your book, you write, “I imagined my [pregnancy] test’s pink dye spreading across Instagram, Facebook, Amazon. All around me, a techno-­corporate infrastructure was locking into place. I could sense the advertising algorithms recalibrating and the branded newsletters assembling in their queues. I knew that I was supposed to think of targeted advertising as evil, but I had never experienced it that way.” Can you unpack this a bit?

Before my pregnancy, I never felt like advertising technology was particularly smart or specific. So when my Instagram ads immediately clocked my pregnancy, it came as a bit of a surprise, and I realized that I was unaware of exactly how ad tech worked and how vast its reach was. It felt particularly eerie in this case because in the beginning my pregnancy was a secret that I kept from everyone except my spouse, so “the internet” was the only thing that was talking to me about it. Advertising became so personalized that it started to feel intimate, even though it was the opposite of that—it represented the corporate obliteration of my privacy. The pregnancy ads reached me before a doctor would even agree to see me.

Though your book was written before generative AI became so ubiquitous, I imagine you’ve thought about how it changes things. You write, “As soon as I got pregnant, I typed ‘what to do when you get pregnant’ in my phone, and now advertisers were supplying their own answers.” What do the rise of AI and the dramatic changes in search mean for someone who gets pregnant today and goes online for answers?

I just googled “what to do when you get pregnant” to see what Google’s generative AI widget tells me now, and it’s largely spitting out commonsensical recommendations: Make an appointment to see a doctor. Stop smoking cigarettes. That is followed by sponsored content from Babylist, an online baby registry company that is deeply enmeshed in the ad-tech system, and Perelel, a startup that sells expensive prenatal supplements. 

So whether or not the search engine is using AI, the information it’s providing to the newly pregnant is not particularly helpful or meaningful. 

The Clue period-tracking app
AMIE CHUNG/TRUNK ARCHIVE

The internet “made me feel like I had some kind of relationship with my phone, when all it was really doing was staging a scene of information that it could monetize.”

For me, the oddly tantalizing thing was that I had asked the internet a question and it gave me something in response, as if we had a reciprocal relationship. So even before AI was embedded in these systems, they were fulfilling the same role for me—as a kind of synthetic conversation partner. It made me feel like I had some kind of relationship with my phone, when all it was really doing was staging a scene of information that it could monetize. 

As I wrote the book, I did put some pregnancy­-related questions to ChatGPT to try to get a sense of the values and assumptions that are encoded in its knowledge base. I asked for an image of a fetus, and it provided this garishly cartoonish, big-eyed cherub in response. But when I asked for a realistic image of a postpartum body, it refused to generate one for me! It was really an extension of something I write about in the book, which is that the image of the fetus is fetishized in a lot of these tech products while the pregnant or postpartum body is largely erased. 

You have this great—but quite sad—quote from a woman on TikTok who said, “I keep hearing it takes a village to raise a child. Do they just show up, or is there a number to call?” 

I really identified with that sentiment, while at the same time being suspicious of this idea that can we just call a hotline to conjure this village?

I am really interested that so many parent-­focused technologies sell themselves this way. [The pediatrician] Harvey Karp says that the Snoo, this robotic crib he created, is the new village. The parenting site Big Little Feelings describes its podcast listeners as a village. The maternity clothing brand Bumpsuit produces a podcast that’s actually called The Village. By using that phrase, these companies are evoking an idealized past that may never have existed, to sell consumer solutions. A society that provides communal support for children and parents is pitched as this ancient and irretrievable idea, as opposed to something that we could build in the future if we wanted to. It will take more than just, like, ordering something.

And the benefit of many of those robotic or “smart” products seems a bit nebulous. You share, for example, that the Nanit baby monitor told you your son was “sleeping more efficiently than 96% of babies, a solid A.”

I’m skeptical of this idea that a piece of consumer technology will really solve a serious problem families or children have. And if it does solve that problem, it only solves it for people who can afford it, which is reprehensible on some level. These products might create a positive difference for how long your baby is sleeping or how easy the diaper is to put on or whatever, but they are Band-Aids on a larger problem. I often found when I was testing out some of these products that the data [provided] was completely useless. My friend who uses the Nanit texted me the other day because she had found a new feature on its camera that showed you a heat map of where your baby had slept in the crib the night before. There is no use for that information, but when you see the heat map, you can try to interpret it to get some useless clues to your baby’s personality. It’s like a BuzzFeed quiz for your baby, where you can say, “Oh, he’s such, like, a right-side king,” or “He’s a down-the-middle guy,” or whatever. 

The Snoo Smart Sleeper Bassinet
COURTESY OF HAPPIEST BABY

“[Companies are] marketing a cure for the parents’ anxiety, but the product itself is attached to the body of a newborn child.”

These products encourage you to see your child themselves as an extension of the technology; Karp even talks about there being an on switch and an off switch in your baby for soothing. So if you do the “right” set of movements to activate the right switch, you can make the baby acquire some desirable trait, which I think is just an extension of this idea that your child can be under your complete control.

… which is very much the fantasy when you’re a parent.

These devices are often marketed as quasi-­medical devices. There’s a converging of consumer and medical categories in baby consumer tech, where the products are marketed as useful to any potential baby, including one who has a serious medical diagnosis or one who is completely healthy. These companies still want you to put a pulse oximeter on a healthy baby, just in case. They’re marketing a cure for the parents’ anxiety, but the product itself is attached to the body of a newborn child.

After spending so much time in hospital settings with my child hooked up to monitors, I was really excited to end that. So I’m interested in this opposite reaction, where there’s this urge to extend that experience, to take personal control of something that feels medical.

Even though I would search out any medical treatment that would help keep my kids healthy, childhood medical experiences can cause a lot of confusion and trauma for kids and their families, even when the results are positive. When you take that medical experience and turn it into something that’s very sleek and fits in your color scheme and is totally under your control, I think it can feel like you are seizing authority over that scary space.

Another thing you write about is how images define idealized versions of pregnancy and motherhood. 

I became interested in a famous photograph that a Swedish photographer named Lennart Nilsson took in the 1960s that was published on the cover of Life magazine. It’s an image of a 20-week-old fetus, and it’s advertised as the world’s first glimpse of life inside the womb. I bought a copy of the issue off eBay and opened the issue to find a little editor’s note saying that the cover fetus was actually a fetus that had been removed from its mother’s body through surgery. It wasn’t a picture of life—it was a picture of an abortion. 

I was interested in how Nilsson staged this fetal body to make it look celestial, like it was floating in space, and I recognized a lot of the elements of his work being incorporated in the tech products that I was using, like the CGI fetus generated by my pregnancy app, Flo. 

You also write about the images being provided at nonmedical sonogram clinics.

I was trying to google the address of a medical imaging center during my pregnancy when I came across a commercial sonogram clinic. There are hundreds of them around the country, with cutesy names like “Cherished Memories” and “You Kiss We Tell.” 

In the book I explore how technologies like ultrasound are used as essentially narrative devices, shaping the way that people think about their bodies and their pregnancies. Ultrasound is odd because it’s a medical technology that’s used to diagnose dangerous and scary conditions, but prospective parents are encouraged to view it as a kind of entertainment service while it’s happening. These commercial sonogram clinics interest me because they promise to completely banish the medical associations of the technology and elevate it into a pure consumer experience. 

baby monitor
The Nanit Pro baby monitor with Flex Stand
COURTESY OF NANIT

You write about “natural” childbirth, which, on the face of it, would seem counter to the digital age. As you note, the movement has always been about storytelling, and the story that it’s telling is really about pain.

When I was pregnant, I became really fascinated with people who discuss freebirth online, which is a practice on the very extreme end of “natural” childbirth rituals—where people give birth at home unassisted, with no obstetrician, midwife, or doula present. Sometimes they also refuse ultrasounds, vaccinations, or all prenatal care. I was interested in how this refusal of medical technology was being technologically promoted, through podcasts, YouTube videos, and Facebook groups. 

It struck me that a lot of the freebirth influencers I saw were interested in exerting supreme control over their pregnancies and children, leaving nothing under the power of medical experts or government regulators. And they were also interested in controlling the narratives of their births—making sure that the moment their children came into the world was staged with compelling imagery that centered them as the protagonist of the event. Video evidence of the most extreme examples—like the woman who freebirthed into the ocean—could go viral and launch the freebirther’s personal brand as a digital wellness guru in her own right. 

The phrase “natural childbirth” was coined by a British doctor, Grantly Dick-Read, in the 1920s. There’s a very funny section in his book for prospective mothers where he complains that women keep telling each other that childbirth hurts, and he claimed that the very idea that childbirth hurts was what created the pain, because birthing women were acting too tense. Dick-Read, like many of his contemporaries, had a racist theory that women he called “primitive” experienced no pain in childbirth because they hadn’t been exposed to white middle-class education and technologies. When I read his work, I was fascinated by the fact that he also described birth as a kind of performance, even back then. He claimed that undisturbed childbirths were totally painless, and he coached women through labor in an attempt to achieve them. Painless childbirth was pitched as a reward for reaching this peak state of natural femininity.

He was really into eugenics, by the way! I see a lot of him in the current presentation of “natural” childbirth online—[proponents] are still invested in a kind of denial, or suppression, of a woman’s actual experience in the pursuit of some unattainable ideal. Recently, I saw one Instagram post from a woman who claimed to have had a supernaturally pain-free childbirth, and she looks so pained and miserable in the photos, it’s absurd. 

I wanted to ask you about Clue and Flo, two very different period-tracking apps. Their contrasting origin stories are striking. 

I downloaded Flo as my period-tracking app many years ago for one reason: It was the first app that came up when I searched in the app store. Later, when I looked into its origins, I found that Flo was created by two brothers, cisgender men who do not menstruate, and that it had quickly outperformed and outearned an existing period-tracking app, Clue, which was created by a woman, Ida Tin, a few years earlier. 

The elements that make an app profitable and successful are not the same as the ones that users may actually want or need. My experience with Flo, especially after I became pregnant, was that it seemed designed to get me to open the app as frequently as possible, even if it didn’t have any new information to provide me about my pregnancy. Flo pitches itself as a kind of artificial nurse, even though it can’t actually examine you or your baby, but this kind of digital substitute has also become increasingly powerful as inequities in maternity care widen and decent care becomes less accessible.

“Doctors and nurses test pregnant women for drugs without their explicit consent or tip off authorities to pregnant people they suspect of mishandling their pregnancies in some way.”

One of the features of Flo I spent a lot of time with was its “Secret Chats” area, where anonymous users come together to go off about pregnancy. It was actually really fun, and it kept me coming back to Flo again and again, especially when I wasn’t discussing my pregnancy with people in real life. But it was also the place where I learned that digital connections are not nearly as helpful as physical connections; you can’t come over and help the anonymous secret chat friend soothe her baby. 

I’d asked Ida Tin if she considered adding a social or chat element to Clue, and she told me that she decided against it because it’s impossible to stem the misinformation that surfaces in a space like that.

You write that Flo “made it seem like I was making the empowered choice by surveilling myself.”

After Roe was overturned, many women publicly opted out of that sort of surveillance by deleting their period-tracking apps. But you mention that it’s not just the apps that are sharing information. When I spoke to attorneys who defend women in pregnancy criminalization cases, I found that they had not yet seen a case in which the government actually relied on data from those apps. In some cases, they have relied on users’ Google searches and Facebook messages, but far and away the central surveillance source that governments use is the medical system itself. 

Doctors and nurses test pregnant women for drugs without their explicit consent or tip off authorities to pregnant people they suspect of mishandling their pregnancies in some way. I’m interested in the fact that media coverage has focused so much on the potential danger of period apps and less on the real, established threat. I think it’s because it provides a deceptively simple solution: Just delete your period app to protect yourself. It’s much harder to dismantle the surveillance systems that are actually in place. You can’t just delete your doctor. 

This interview, which was conducted by phone and email, has been condensed and edited.

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Equinor lets Wisting FPSO topsides FEED contract to Aibel

@import url(‘https://fonts.googleapis.com/css2?family=Inter:wght@100..900&display=swap’); .ebm-page__main h1, .ebm-page__main h2, .ebm-page__main h3, .ebm-page__main h4, .ebm-page__main h5, .ebm-page__main h6 { font-family: Inter; } body { line-height: 150%; letter-spacing: 0.025em; } button, .ebm-button-wrapper { font-family: Inter; } .label-style { text-transform: uppercase; color: var(–color-grey); font-weight: 600; font-size: 0.75rem; } .caption-style { font-size: 0.75rem; color: color-mix(in srgb, currentColor 60%, transparent); } <!–> Equinor Energy AS awarded Aibel a front-end engineering and design (FEED) study contract covering topside modules for the proposed floating production, storage, and offloading (FPSO) vessel for Wisting field development in the Barents Sea. The contract includes FEED work and further maturation of the FPSO topsides design to support the Wisting partners’ project execution decision. It also contains an option for engineering, procurement, and project management (EPma) services. Any contract for fabrication of the topside modules would be awarded later, Equinor said. Work will begin immediately and is scheduled for completion in late 2027. The FEED study will form part of the basis for the Wisting license partners’ planned investment decision in late 2027. Equinor and partners plan to decide on concept selection and the project’s further progression by yearend 2026. “We are at an early stage in the development of Wisting, and considerable work remains to develop a project that is profitable and feasible,” said Trond Bokn, Equinor’s senior vice-president for project development. ]–> <!–> –> <!–> Dec. 2, 2019 ]–> <!–> –> <!–> April 22, 2024 ]–> <!–> –> <!–> May 21, 2026 ]–> Wisting Wisting, discovered in 2013 in the Hoop area of the Barents Sea about 310 km north of Hammerfest, is the largest oil discovery on the Norwegian continental shelf yet to be developed. The field contains estimated recoverable resources of just under 500 MMboe. Water depths across the development area are 390-418 m. In July, Equinor submitted for public consultation

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Oil prices climb as Saudi attacks heighten supply concerns

Oil prices rose sharply Oct. 23 as escalating attacks on Saudi Arabian energy infrastructure and mounting threats to Middle East shipping heightened concerns over further supply disruptions. Oil prices rose more than 3% on Oct. 23, with Brent crude futures climbing above $117/bbl, their highest level since late April, while US benchmark West Texas Intermediate (WTI) advanced above $103/bbl. Brent was on track for a third consecutive weekly gain, reflecting a growing geopolitical risk premium amid continued regional hostilities. Market concerns intensified following attacks by Yemen’s Houthi movement on Saudi targets, including energy infrastructure and airports. On Oct. 21, Saudi air defenses intercepted a drone targeting a processing plant at Saudi Aramco’s Shaybah oil field. Falling debris caused a fire in a contractor’s vehicle, killing two people and injuring two others, according to the Saudi Energy Ministry. Operations at the field were unaffected. Saudi Aramco also instructed employees to evacuate its headquarters in Dhahran and work remotely as regional hostilities escalated, Reuters reported Oct. 22, citing people familiar with the matter. Although the latest incident at Shaybah did not interrupt production, continued attacks have raised concerns about the security of Saudi energy infrastructure and the reliability of regional supplies. Shipping risks have added to market uncertainty. October has recorded the highest number of attacks on commercial vessels in the Strait of Hormuz and surrounding waterways since tracking began in 2017, according to data compiled by the Washington Institute for Near East Policy. Although Middle Eastern crude exports have recovered strongly from earlier disruptions, the escalation in maritime attacks has raised questions about whether those flows can be sustained. The United Arab Emirates (UAE) also reported an oil spill from a tanker off Umm Al Quwain on Oct. 23. Authorities did not identify the vessel or establish the cause of the

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INGAA appoints Chris Schindler as 2026-2027 chair

The board of directors for the Interstate Natural Gas Association of America (INGAA) has appointed Chris Schindler to serve as chairman of the organization for a 1-year term. Schindler serves as executive vice-president, general counsel, corporate secretary, and chief compliance officer of Southern Star Central Gas Pipeline, which transports natural gas through about 5,800 miles of pipeline in the Midwest and Mid-Continent regions of the United States. Schindler joined Southern Star in June 2019 following a 25-year legal career at Hogan Lovells, in Washington, DC. He handled regulatory matters before the Federal Energy Regulatory Commission (FERC), Commodity Futures Trading Commission (CFTC), and state commissions; executed regulatory strategies for energy infrastructure projects; litigated FERC rate cases; and was a frequent national speaker on FERC and CFTC regulatory issues. INGAA also appointed Rob Johnson, president of WBI Energy Inc., as first vice chair, and David Brast, president of US Natural Gas Pipelines, TC Energy, as second vice chair.

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Energy Department Authorizes Strategic Petroleum Reserve Exchange to Support Fuel Supply Stability

WASHINGTON— The U.S. Department of Energy (DOE) today announced the authorization of an emergency exchange of up to 400,000 barrels of crude oil from the Strategic Petroleum Reserve (SPR) to address a crude oil supply disruption affecting the Phillips 66 Lake Charles Refinery in Louisiana. Under the terms of the exchange, all borrowed crude oil will be returned with additional premium barrels, helping replenish and strengthen the SPR at no additional cost to taxpayers.  “With this exchange, the Energy Department is taking definitive action to support refinery operations, maintain stable fuel supplies, and ensure all Americans continue to have access to the affordable, reliable, and secure energy they rely on every day,” said DOE Under Secretary of Energy Kyle Haustveit. “This emergency exchange helps alleviate supply disruption and requires Phillips 66 to return more barrels to the SPR than are currently being withdrawn, saving hardworking taxpayers millions of dollars and delivering on the Trump Administration’s commitment to strengthen and safeguard America’s energy security.” The Energy Department has authorized the exchange of up to 400,000 barrels for the Phillips 66 Lake Charles Refinery from the West Hackberry SPR site for immediate delivery. The supply will help offset temporary disruptions affecting crude oil deliveries to the refinery and support continued production of transportation fuels serving Louisiana and surrounding markets.  DOE will continue working with industry partners to help ensure stability across the fuel supply chain and stands ready to utilize available authorities, as appropriate, to support the reliable delivery of energy supplies and protect U.S. energy security.  For more information on the SPR, please visit DOE’s SPR website. 

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Energy Department Designates Helium as Critical Material to Strengthen American Manufacturing and Supply Chain Security

WASHINGTON—The U.S. Department of Energy (DOE) today announced that Secretary of Energy Chris Wright has designated helium as a critical material under the Energy Act of 2020. The designation advances the Trump Administration’s commitment to freeing America from reliance on foreign sources of critical materials, strengthening domestic manufacturing, supporting American jobs, and securing the materials essential to U.S. economic and national security.  “President Trump is bringing back America’s manufacturing industry, and that means making sure we have the materials needed to build things in America again,” said U.S . Secretary of Energy Chris Wright. “Helium is essential to producing the semiconductors and advanced technologies that power our economy. By designating helium as a critical material, we are taking another step toward securing our supply chains, creating American jobs, and ensuring the United States leads the world in energy and technological innovation.” DOE determined that helium meets the statutory definition of a critical material due to its essential role in American manufacturing and growing exposure to supply chain risks. Helium’s unique properties make it indispensable to semiconductor production, with no viable substitutes in many critical applications. The United States has significant domestic deposits of helium-rich natural gas to support growing industrial demand. “The U.S. Department of Energy is committed to strengthening our country’s supply chain of critical materials that are essential to continued economic and job growth, energy dominance, and U.S. leadership in cutting-edge technologies such as SI and semiconductors,” said Assistant Secretary of Energy Audrey Robertson. “Under Secretary Wright’s leadership, DOE is taking decisive action to ensure American manufacturers have reliable access to helium as a critical resource they need.” Global demand for helium is growing faster than production, increasing supply risks for American manufacturers. Despite the nation’s abundant helium resources, limited refining capacity and lengthy permitting timelines continue to

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Energy Department to Use Defense Production Act Funding to Restart American Refinery and Expand Refining Capacity

WASHINGTON—President Donald J. Trump today announced plans to provide up to $150 million in Defense Production Act (DPA) Title III funding to expand domestic petroleum production, storage, and logistics at refineries across the United States.  By leveraging DPA authorities, DOE will help increase domestic production of gasoline, diesel, jet fuel, and other petroleum products, strengthening America’s fuel supply and lowering prices for American families and businesses. Together, this funding is expected to increase U.S. refining output by millions of gallons per day.  “After 17 years of Democrat leaders enacting energy subtraction policies that led to the closure of refineries and more expensive refined oil products, the Trump Administration is taking action to expand our nation’s refining capacity and strengthen our energy security,” said U.S. Secretary of Energy Chris Wright. “Thanks to President Trump, America is producing more oil and gas than ever before and thanks to President Trump, we will soon be producing more refined products as well. These Defense Production Act funds will be used strategically and in partnership with private industry to rapidly bolster America’s existing energy infrastructure. By restoring energy addition policies, we will continue to unleash American energy dominance and lower costs for the American people.” The investment supports President Trump’s commitment to ensuring all Americans have access to affordable, reliable, and secure energy while strengthening energy infrastructure critical to national defense. Thanks to the Working Families Tax Cuts, $1 billion in federal funding has been appropriated for energy-related projects deemed critical to national security. Presidential Determination No. 2026-11 identifies domestic petroleum production, refining, and logistics capacity as essential to national defense. The selection process is ongoing and will be announced in the near future.

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Hyperscalers allow more scrutiny of controversial data center plans

Hyperscalers are getting decidedly twitchy about citizens’ reactions to their secretive data center construction plans, and are looking for ways to de-escalate some of the conflicts. Earlier this month, Amazon announced its Data Center Commitment which, among other things, would disclose more information about energy and water use and consider a moratorium asking government officials to sign non-disclosure agreements covering their planning applications. Amazon is not alone in this. Earlier this week, Meta said that it was reviewing its use of NDAs after the company was widely criticized for its secrecy in proposing Hyperion, a Louisiana data center in July.

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Google will pay people to use less electricity so its data centers can use more

Google has an answer to some of the electricity supply problems that data center construction is causing: It has signed an agreement with energy supplier Voltus to build what it’s calling a 1-gigawatt virtual power plant, expanding on an earlier 100 megawatt deal the two signed earlier this year. This power plant is virtual in the sense that it doesn’t generate any electricity itself, but aggregates so-called flexible grid capacity into one central resource that can be deployed at times of peak demand. This flexible capacity can be in the form of batteries or of load-shedding: asking others to temporarily stop consuming electricity by shutting down industrial processes or adjusting tens of thousands of smart thermostats at once, effectively moving their electricity usage to a time when there is less demand. Voltus operates by offering incentives to companies to reduce their power consumption temporarily, and also offers inducements to electricity resellers that they can pass on to their customers.

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Big Tech’s Next Nuclear Bet: More Power From Reactors Already Running

The next wave of nuclear power for AI data centers may come not from new reactors, but from generating stations that have been operating for decades. In a pair of agreements announced just a week apart, Google and Amazon committed to long-term electricity purchases supporting approximately 1,080 MW of additional nuclear generating capacity from Constellation Energy’s existing fleet. The transactions follow earlier commitments by Meta to support reactor upgrades at operating nuclear facilities in Ohio, Pennsylvania and Illinois, establishing a broader commercial model in which hyperscale technology companies help finance increases in nuclear output. Under its October 6 agreement with Google, Constellation plans to invest more than $4.3 billion in equipment and technology upgrades at 11 operating reactor units across Illinois, Pennsylvania and New Jersey. The 20-year power purchase agreement supports 890 MW of new generating capacity, with the first upgrades expected to begin delivering additional electricity in 2028. A separate 15-year agreement covers 2,700 MW of existing nuclear generation, underscoring the distinction between securing today’s electricity supply and financing additional capacity. Amazon’s September 30 agreement similarly supports 190 MW of new generation at Maryland’s Calvert Cliffs nuclear station, alongside purchases of existing output. Together, the two arrangements underpin more than $7 billion in planned infrastructure investment. Unlike proposed advanced reactors, these facilities already have operating licenses, grid connections, established workforces and decades of operating experience. Increasing their output avoids some of the cost, permitting and construction challenges associated with building entirely new nuclear plants, although significant upgrades still require extensive engineering, equipment modifications and regulatory approval. The potential scale is substantial. According to the Nuclear Regulatory Commission’s current application schedule, the agency anticipates 31 applications for reactor power uprates through 2032, representing approximately 2,421 MW of potential additional electrical generating capacity. That is roughly equivalent to the output of

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AMD Helion Puts CPU Density at the Center of Agentic AI Infrastructure

AMD expects the growth of agentic applications to substantially increase demand for server CPUs alongside GPU infrastructure. During her October 12 OCP keynote, CEO Lisa Su said the company now projects the server CPU market will exceed $200 billion by 2030, a significant upward revision from its earlier $120 billion estimate. While that remains AMD’s market forecast rather than an independent measure of future demand, it underscores the company’s conviction that general-purpose computing will play a much larger role in AI infrastructure. Two Rack Designs for Different Markets Helion’s two principal configurations reflect different approaches to deploying and managing agentic workloads. For hyperscale operators, the architecture emphasizes high-density CPU infrastructure dedicated to agent execution, with model inference handled by separate GPU-accelerated systems. This separation allows operators to expand CPU and GPU capacity independently, potentially improving resource utilization as the balance between agent activity and inference demand changes. The approach also introduces infrastructure considerations. Agents may communicate repeatedly with models hosted elsewhere in a data center or across distributed environments, making network performance, latency and workload orchestration important factors in overall system efficiency. The ability to scale computing resources independently is an architectural advantage, but realizing that benefit will depend on how effectively those resources are connected and managed. For enterprise deployments, Helion takes a more integrated approach, combining EPYC CPU blades, Instinct MI350P GPU blades and general-purpose computing resources within the same rack. The reference design accommodates up to 16 MI350P accelerators in two independent eight-GPU servers, each occupying five rack units. These GPU nodes operate separately rather than through a common rack-level scale-up fabric, reflecting the architecture’s emphasis on enterprise inference rather than the tightly coupled accelerator environments used for frontier-model training. The enterprise configuration also accommodates dedicated resources for databases, storage and technical computing, supporting the broader range

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AI’s Fragmented Regulatory Landscape Becomes a Data Center Design Challenge

Designing for Verifiable Operations For an operator serving tenants across jurisdictions, a claim about where a workload runs must be one that the responsible service provider can substantiate. That means identifying who can administer the workload, how data moves between regions, where backups are maintained, and which records document those arrangements. A tenant promising to run a workload within a particular jurisdiction needs assurance that its data, backups, and access arrangements satisfy the applicable requirements. Workload placement alone cannot establish where a backup resides or from where an administrator can access a system. Those questions must be addressed across compute, storage, network paths, security controls, and third-party access, with responsibilities established during procurement and verified before service begins. Not all of those controls necessarily reside with the data center operator. A colocation provider may be responsible for physical access, facility security, and designated infrastructure services, while a tenant or cloud provider controls the applications, storage configuration, backup locations, and logical access to workloads. The operating agreement must distinguish between what the facility provider can verify directly and what remains within the tenant’s systems. The EU AI Act makes that division of responsibility particularly important. Its requirements for covered high-risk AI systems include logging, documentation, human oversight, robustness, and cybersecurity, subject to the law’s applicable implementation dates. These obligations attach to the relevant providers and deployers of AI systems, rather than automatically to every company hosting them. A data center operator may nevertheless be required by contract to provide physical-access records, security evidence, or information about infrastructure location so that a tenant can substantiate its own compliance. A further distinction concerns data residency. The AI Act is not itself a general requirement to keep all AI workloads or associated data within the European Union. Geographic restrictions may instead arise from data-protection

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Microsoft exits UK AI data center project over electricity delays

“We remain committed to both the Loughton project and the UK, and we are exploring alternative power sources for the site, as well ​as other expansion sites in the UK,” Nscale added. “This decision relates to a single ​site,” a Microsoft spokesperson said of its termination of an agreement for the data ​center in Loughton, Essex, where Nscale had faced delays, with electricity grid ⁠officials telling the AI company they did not expect to supply power to the site ​until the 2030s. “Our relationship with Microsoft remains strong and long-term, and this unfortunate London-wide grid ​issue has no impact on our other contracts,” a spokesperson for Nscale told Reuters.

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Microsoft will invest $80B in AI data centers in fiscal 2025

And Microsoft isn’t the only one that is ramping up its investments into AI-enabled data centers. Rival cloud service providers are all investing in either upgrading or opening new data centers to capture a larger chunk of business from developers and users of large language models (LLMs).  In a report published in October 2024, Bloomberg Intelligence estimated that demand for generative AI would push Microsoft, AWS, Google, Oracle, Meta, and Apple would between them devote $200 billion to capex in 2025, up from $110 billion in 2023. Microsoft is one of the biggest spenders, followed closely by Google and AWS, Bloomberg Intelligence said. Its estimate of Microsoft’s capital spending on AI, at $62.4 billion for calendar 2025, is lower than Smith’s claim that the company will invest $80 billion in the fiscal year to June 30, 2025. Both figures, though, are way higher than Microsoft’s 2020 capital expenditure of “just” $17.6 billion. The majority of the increased spending is tied to cloud services and the expansion of AI infrastructure needed to provide compute capacity for OpenAI workloads. Separately, last October Amazon CEO Andy Jassy said his company planned total capex spend of $75 billion in 2024 and even more in 2025, with much of it going to AWS, its cloud computing division.

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John Deere unveils more autonomous farm machines to address skill labor shortage

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Self-driving tractors might be the path to self-driving cars. John Deere has revealed a new line of autonomous machines and tech across agriculture, construction and commercial landscaping. The Moline, Illinois-based John Deere has been in business for 187 years, yet it’s been a regular as a non-tech company showing off technology at the big tech trade show in Las Vegas and is back at CES 2025 with more autonomous tractors and other vehicles. This is not something we usually cover, but John Deere has a lot of data that is interesting in the big picture of tech. The message from the company is that there aren’t enough skilled farm laborers to do the work that its customers need. It’s been a challenge for most of the last two decades, said Jahmy Hindman, CTO at John Deere, in a briefing. Much of the tech will come this fall and after that. He noted that the average farmer in the U.S. is over 58 and works 12 to 18 hours a day to grow food for us. And he said the American Farm Bureau Federation estimates there are roughly 2.4 million farm jobs that need to be filled annually; and the agricultural work force continues to shrink. (This is my hint to the anti-immigration crowd). John Deere’s autonomous 9RX Tractor. Farmers can oversee it using an app. While each of these industries experiences their own set of challenges, a commonality across all is skilled labor availability. In construction, about 80% percent of contractors struggle to find skilled labor. And in commercial landscaping, 86% of landscaping business owners can’t find labor to fill open positions, he said. “They have to figure out how to do

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2025 playbook for enterprise AI success, from agents to evals

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More 2025 is poised to be a pivotal year for enterprise AI. The past year has seen rapid innovation, and this year will see the same. This has made it more critical than ever to revisit your AI strategy to stay competitive and create value for your customers. From scaling AI agents to optimizing costs, here are the five critical areas enterprises should prioritize for their AI strategy this year. 1. Agents: the next generation of automation AI agents are no longer theoretical. In 2025, they’re indispensable tools for enterprises looking to streamline operations and enhance customer interactions. Unlike traditional software, agents powered by large language models (LLMs) can make nuanced decisions, navigate complex multi-step tasks, and integrate seamlessly with tools and APIs. At the start of 2024, agents were not ready for prime time, making frustrating mistakes like hallucinating URLs. They started getting better as frontier large language models themselves improved. “Let me put it this way,” said Sam Witteveen, cofounder of Red Dragon, a company that develops agents for companies, and that recently reviewed the 48 agents it built last year. “Interestingly, the ones that we built at the start of the year, a lot of those worked way better at the end of the year just because the models got better.” Witteveen shared this in the video podcast we filmed to discuss these five big trends in detail. Models are getting better and hallucinating less, and they’re also being trained to do agentic tasks. Another feature that the model providers are researching is a way to use the LLM as a judge, and as models get cheaper (something we’ll cover below), companies can use three or more models to

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OpenAI’s red teaming innovations define new essentials for security leaders in the AI era

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More OpenAI has taken a more aggressive approach to red teaming than its AI competitors, demonstrating its security teams’ advanced capabilities in two areas: multi-step reinforcement and external red teaming. OpenAI recently released two papers that set a new competitive standard for improving the quality, reliability and safety of AI models in these two techniques and more. The first paper, “OpenAI’s Approach to External Red Teaming for AI Models and Systems,” reports that specialized teams outside the company have proven effective in uncovering vulnerabilities that might otherwise have made it into a released model because in-house testing techniques may have missed them. In the second paper, “Diverse and Effective Red Teaming with Auto-Generated Rewards and Multi-Step Reinforcement Learning,” OpenAI introduces an automated framework that relies on iterative reinforcement learning to generate a broad spectrum of novel, wide-ranging attacks. Going all-in on red teaming pays practical, competitive dividends It’s encouraging to see competitive intensity in red teaming growing among AI companies. When Anthropic released its AI red team guidelines in June of last year, it joined AI providers including Google, Microsoft, Nvidia, OpenAI, and even the U.S.’s National Institute of Standards and Technology (NIST), which all had released red teaming frameworks. Investing heavily in red teaming yields tangible benefits for security leaders in any organization. OpenAI’s paper on external red teaming provides a detailed analysis of how the company strives to create specialized external teams that include cybersecurity and subject matter experts. The goal is to see if knowledgeable external teams can defeat models’ security perimeters and find gaps in their security, biases and controls that prompt-based testing couldn’t find. What makes OpenAI’s recent papers noteworthy is how well they define using human-in-the-middle

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