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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 greatbut quite sadquote 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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EBW Warned of Faltering Gas Demand Heading into Holiday Weekend

In a U.S. natural gas focused EBW Analytics Group report sent to Rigzone by the EBW team on Friday, Eli Rubin, an energy analyst at the company, warned of “faltering demand” heading into the President’s Day holiday weekend. “The March contract tested as high as $3.316 yesterday before selling off after a bearish EIA [U.S. Energy Information Administration] storage surprise, and ahead of deteriorating heating demand into President’s Day holiday weekend and an 11 billion cubic foot per day drop into next Wednesday,” Rubin said in Friday’s report. “The threat of cold air in Western Canada and the Pacific Northwest moving into the U.S. remains a primary source of support,” he added. “If the market returns from the holiday weekend without this threat materializing, however, sub-$3.00 per million British thermal units may be in play as the year over year storage deficit flips to a 170 billion cubic foot surplus by late February,” he continued. In the report, Rubin went on to state that “steep storage refill demand east of the Rockies and loose supply/demand fundamentals during recent Marches may offer some medium-term support”. He added, however, that “storage exiting March near 1,800 billion cubic feet, with gathering production tailwinds and decelerating year over year LNG growth into mid to late 2026, suggest a bearish outlook for NYMEX gas futures”. In its latest weekly natural gas storage report, which was released on February 12 and included data for the week ending February 6, the EIA revealed that, according to its estimates, working gas in storage was 2,214 billion cubic feet as of February 6. “This represents a net decrease of 249 billion cubic feet from the previous week,” the EIA highlighted in the report. “Stocks were 97 billion cubic feet less than last year at this time and 130 billion

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North America Drops 6 Rigs Week on Week

North America dropped six rigs week on week, according to Baker Hughes’ latest North America rotary rig count, which was published on February 13. The total U.S. rig count remained unchanged week on week and the total Canada rig count dropped by six during the same period, pushing the total North America rig count down to 773, comprising 551 rigs from the U.S. and 222 rigs from Canada, the count outlined. Of the total U.S. rig count of 551, 531 rigs are categorized as land rigs, 17 are categorized as offshore rigs, and three are categorized as inland water rigs. The total U.S. rig count is made up of 409 oil rigs, 133 gas rigs, and nine miscellaneous rigs, according to Baker Hughes’ count, which revealed that the U.S. total comprises 481 horizontal rigs, 57 directional rigs, and 13 vertical rigs. Week on week, the U.S. land rig count dropped by one, its offshore rig count rose by one, and its inland water rig count remained unchanged, Baker Hughes highlighted. The U.S. oil rig count decreased by three week on week, while its gas rig count increased by three and its miscellaneous rig count remained unchanged, the count showed. The U.S. horizontal rig count dropped by two week on week, its directional rig count rose by two week on week, and its vertical rig count remained flat during the same period, the count revealed. A major state variances subcategory included in the rig count showed that, week on week, Texas dropped three rigs, Oklahoma and North Dakota each dropped one rig, Louisiana added two rigs, and New Mexico, Pennsylvania, and Wyoming each added one rig. A major basin variances subcategory included in the rig count showed that, week on week, the Permian basin dropped three rigs, the Williston basin dropped

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Aramco Commits to 1 MMtpa for 20 Years from Commonwealth LNG

Saudi Arabian Oil Co (Aramco) has signed a 20-year agreement to buy one million metric tons per annum (MMtpa) of liquefied natural gas from the under-development Commonwealth LNG in Cameron Parish, Louisiana. “Commonwealth is advancing toward a final investment decision with line of sight to secure its remaining capacity”, said a joint statement by the offtake parties. “Aramco Trading joins Glencore, JERA, PETRONAS, Mercuria and EQT among international energy companies entering into long-term offtake contracts with the platform”. Early this month Commonwealth announced a 20-year deal to supply one MMtpa to Geneva, Switzerland-based energy and commodities trader Mercuria. Commonwealth LNG is a project of Kimmeridge Energy Management Co LLC and Mubadala Investment Co through their joint venture Caturus HoldCo LLC. Expected to start operation 2030, Commonwealth LNG is designed to produce up to 9.5 million metric tons a year of LNG. “This agreement highlights the strong international demand for U.S. LNG and underscores how our longstanding relationships and capabilities position Caturus to serve global markets”, said Caturus chief executive David Lawler. “Our contract with Aramco Trading underscores the differentiated value Caturus can bring through our global reach in offering wellhead to water services”, Lawler added. Mohammed K. Al Mulhim, Aramco Trading president and CEO, said, “This agreement reflects Aramco Trading’s efforts to secure a reliable, long-term energy supply for global markets while strengthening our presence in the LNG sector”. The Gulf Coast project is permitted to ship up to 9.5 MMtpa of LNG, equivalent to around 1.21 billion cubic feet per day of gas according to Kimmeridge. The United States Energy Department granted the project authorization to export to countries without a free trade agreement (FTA) with the U.S. in August 2025 and FTA authorization in April 2020. The developers expect the first phase of the project to generate around

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Enbridge Q4 Profit Up YoY

Enbridge Inc has reported CAD 1.95 billion ($1.43 billion) in earnings and CAD 1.92 billion in adjusted earnings for the fourth quarter of 2025, up from CAD 493 million and CAD 1.64 billion for the same three-month period in 2024 respectively. Q4 2025 income per share of CAD 0.88 ($0.63), adjusted for extraordinary items, beat the Zacks Consensus Estimate of $0.6. Calgary-based Enbridge, which operates oil and gas pipelines in Canada and the United States, earlier bumped up its quarterly dividend by three percent against the prior rate to CAD 0.97. The annualized rate for 2026 is CAD 3.88 per share. Q4 2025 adjusted EBITDA rose 1.62 percent year-on-year to CAD 5.21 billion “due primarily to favorable gas transmission contracting and Venice Extension entering service, colder weather and higher rates and customer growth at Enbridge Gas Ontario, partially offset by the absence in 2025 of equity earnings related to investment tax credits from our investment in Fox Squirrel Solar”, Enbridge said in an online statement. United States gas transmission contributed CAD 997 million to segment adjusted EBITDA, down from CAD 1 billion for Q4 2024. The U.S. figure benefited from the startup of the Venice Extension Project, which expands the Texas Eastern system’s capacity to deliver gas to Gulf Coast markets, and Enbridge’s acquisition of a stake in the Matterhorn Express Pipeline. Enbridge also recognized “favorable contracting and successful rate case settlements on our U.S. Gas Transmission assets”, partially offset by the timing of operating costs. Adjusted EBITDA from Canadian gas transmission increased from CAD 157 million for Q4 2024 to CAD 190 million for Q4 2025, helped by “higher revenues at Aitken Creek due to favorable storage spreads”. Liquid pipelines logged CAD 2.45 billion in adjusted EBITDA, up from CAD 2.4 billion for Q4 2024. The Mainline System, which carries

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Analyst Highlights Focus of IEW Event

Focus at the London International Energy Week (IEW) last week was the balancing of geopolitics versus assessed surplus of oil globally in 2026. That’s what Skandinaviska Enskilda Banken AB (SEB) Chief Commodities Analyst Bjarne Schieldrop noted in a SEB report sent to Rigzone on Monday morning, adding that one delegate at the event stated that “if OPEC doesn’t cut, we’ll have $45 per barrel in June”. “That may be true,” Schieldrop said in the report. “But OPEC+ is meeting every month, taking a measure of the state of the global oil market and then decides what to do on the back of that. The group has been very explicit that they may cut, increase, or keep production steady depending on their findings,” he added. “We believe they will and thus we do not buy into $45 per barrel by June because, if need-be, they will trim production as they say they will,” he continued, pointing out that OPEC+ is next scheduled to meet on March 1 “to discuss production for April”. Schieldrop highlighted in the report that, in its February oil market report, the International Energy Agency (IEA) “restated its view that the world will only need 25.7 million barrels per day of crude from OPEC in 2026 versus a recent production by the group of 28.8 million barrels per day”. “I.e. that to keep the market balanced the group will need to cut production by some three million barrels per day,” he said. “Though strategic stock building around the world needs to be deducted from that. And the appetite for such stock building could be solid given elevated geopolitical risks. Thus what will flow to commercial stocks in the end remains to be seen,” he stated. Schieldrop went on to note in the report that increased Iranian tension could drive Brent

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Hungary Asks Croatia to Allow Russian Crude Shipments

Hungary requested that Croatia allow the shipment of Russian crude via the Adriatic pipeline while a key route through Ukraine remains blocked. Hungarian Foreign Minister Peter Szijjarto and Slovak Economy Minister Denisa Sakova jointly wrote to the Croatian government in Zagreb with the request, Szijjarto said in a statement Sunday. Oil transit along the Druzhba pipeline via Ukraine has been halted since late last month amid large-scale Russian attacks on Ukraine’s energy infrastructure, with the governments in Budapest and Kyiv in a standoff over the fallout. Budapest relies on the Druzhba pipeline connecting Hungary with Russia through war-torn Ukraine for most of its oil flows. Hungarian Prime Minister Viktor Orban, who has remained committed to buying Russian energy sources for his landlocked country, has also frequently engaged in debate with neighboring Croatia over the capacity of the Adriatic pipeline.  Energy policy is also likely to feature in Orban’s talks in Budapest with US Secretary of State Marco Rubio on Monday. Orban has found an ally in Slovak counterpart Robert Fico, who on Sunday echoed his views that Ukraine was using the Druzhba pipeline for political leverage, which officials in Kyiv have denied. What do you think? We’d love to hear from you, join the conversation on the Rigzone Energy Network. The Rigzone Energy Network is a new social experience created for you and all energy professionals to Speak Up about our industry, share knowledge, connect with peers and industry insiders and engage in a professional community that will empower your career in energy.

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Arista laments ‘horrendous’ memory situation

Digging in on campus Arista has been clear about its plans to grow its presence campus networking environments. Last Fall, Ullal said she expects Arista’s campus and WAN business would grow from the current $750 million-$800 million run rate to $1.25 billion, representing a 60% growth opportunity for the company. “We are committed to our aggressive goal of $1.25 billion for ’26 for the cognitive campus and branch. We have also successfully deployed in many routing edge, core spine and peering use cases,” Ullal said. “In Q4 2025, Arista launched our flagship 7800 R4 spine for many routing use cases, including DCI, AI spines with that massive 460 terabits of capacity to meet the demanding needs of multiservice routing, AI workloads and switching use cases. The combined campus and routing adjacencies together contribute approximately 18% of revenue.” Ethernet leads the way “In terms of annual 2025 product lines, our core cloud, AI and data center products built upon our highly differentiated Arista EOS stack is successfully deployed across 10 gig to 800 gigabit Ethernet speeds with 1.6 terabit migration imminent,” Ullal said. “This includes our portfolio of EtherLink AI and our 7000 series platforms for best-in-class performance, power efficiency, high availability, automation, agility for both the front and back-end compute, storage and all of the interconnect zones.” Ullal said she expects Ethernet will get even more of a boost later this year when the multivendor Ethernet for Scale-Up Networking (ESUN) specification is released.  “We have consistently described that today’s configurations are mostly a combination of scale out and scale up were largely based on 800G and smaller ratings. Now that the ESUN specification is well underway, we need a good solid spec. Otherwise, we’ll be shipping proprietary products like some people in the world do today. And so we will tie our

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From NIMBY to YIMBY: A Playbook for Data Center Community Acceptance

Across many conversations at the start of this year, at PTC and other conferences alike, the word on everyone’s lips seems to be “community.” For the data center industry, that single word now captures a turning point from just a few short years ago: we are no longer a niche, back‑of‑house utility, but a front‑page presence in local politics, school board budgets, and town hall debates. That visibility is forcing a choice in how we tell our story—either accept a permanent NIMBY-reactive framework, or actively build a YIMBY narrative that portrays the real value digital infrastructure brings to the markets and surrounding communities that host it. Speaking regularly with Ilissa Miller, CEO of iMiller Public Relations about this topic, there is work to be done across the ecosystem to build communications. Miller recently reflected: “What we’re seeing in communities isn’t a rejection of digital infrastructure, it’s a rejection of uncertainty driven by anxiety and fear. Most local leaders have never been given a framework to evaluate digital infrastructure developments the way they evaluate roads, water systems, or industrial parks. When there’s no shared planning language, ‘no’ becomes the safest answer.” A Brief History of “No” Community pushback against data centers is no longer episodic; it has become organized, media‑savvy, and politically influential in key markets. In Northern Virginia, resident groups and environmental organizations have mobilized against large‑scale campuses, pressing counties like Loudoun and Prince William to tighten zoning, question incentives, and delay or reshape projects.1 Loudoun County’s move in 2025 to end by‑right approvals for new facilities, requiring public hearings and board votes, marked a watershed moment as the world’s densest data center market signaled that communities now expect more say over where and how these campuses are built. Prince William County’s decision to sharply increase its tax rate on

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Nomads at the Frontier: PTC 2026 Signals the Digital Infrastructure Industry’s Moment of Execution

Each January, the Pacific Telecommunications Council conference serves as a barometer for where digital infrastructure is headed next. And according to Nomad Futurist founders Nabeel Mahmood and Phillip Koblence, the message from PTC 2026 was unmistakable: The industry has moved beyond hype. The hard work has begun. In the latest episode of The DCF Show Podcast, part of our ongoing ‘Nomads at the Frontier’ series, Mahmood and Koblence joined Data Center Frontier to unpack the tone shift emerging across the AI and data center ecosystem. Attendance continues to grow year over year. Conversations remain energetic. But the character of those conversations has changed. As Mahmood put it: “The hype that the market started to see is actually resulting a bit more into actions now, and those conversations are resulting into some good progress.” The difference from prior years? Less speculation. More execution. From Data Center Cowboys to Real Deployments Koblence offered perhaps the sharpest contrast between PTC conversations in 2024 and those in 2026. Two years ago, many projects felt speculative. Today, developers are arriving with secured power, customers, and construction underway. “If 2024’s PTC was data center cowboys — sites that in someone’s mind could be a data center — this year was: show me the money, show me the power, give me accurate timelines.” In other words, the market is no longer rewarding hypothetical capacity. It is demanding delivered capacity. Operators now speak in terms of deployments already underway, not aspirational campuses still waiting on permits and power commitments. And behind nearly every conversation sits the same gating factor. Power. Power Has Become the Industry’s Defining Constraint Whether discussions centered on AI factories, investment capital, or campus expansion, Mahmood and Koblence noted that every conversation eventually returned to energy availability. “All of those questions are power,” Koblence said.

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Cooling Consolidation Hits AI Scale: LiquidStack, Submer, and the Future of Data Center Thermal Strategy

As AI infrastructure scales toward ever-higher rack densities and gigawatt-class campuses, cooling has moved from a technical subsystem to a defining strategic issue for the data center industry. A trio of announcements in early February highlights how rapidly the cooling and AI infrastructure stack is consolidating and evolving: Trane Technologies’ acquisition of LiquidStack; Submer’s acquisition of Radian Arc, extending its reach from core data centers into telco edge environments; and Submer’s partnership with Anant Raj to accelerate sovereign AI infrastructure deployment across India. Layered atop these developments is fresh guidance from Oracle Cloud Infrastructure explaining why closed-loop, direct-to-chip cooling is becoming central to next-generation facility design, particularly in regions where water use has become a flashpoint in community discussions around data center growth. Taken together, these developments show how the industry is moving beyond point solutions toward integrated, scalable AI infrastructure ecosystems, where cooling, compute, and deployment models must work together across hyperscale campuses and distributed edge environments alike. Trane Moves to Own the Cooling Stack The most consequential development comes from Trane Technologies, which on February 10 announced it has entered into a definitive agreement to acquire LiquidStack, one of the pioneers and leading innovators in data center liquid cooling. The acquisition significantly strengthens Trane’s ambition to become a full-service thermal partner for data center operators, extending its reach from plant-level systems all the way down to the chip itself. LiquidStack, headquartered in Carrollton, Texas, built its reputation on immersion cooling and advanced direct-to-chip liquid solutions supporting high-density deployments across hyperscale, enterprise, colocation, edge, and blockchain environments. Under Trane, those technologies will now be scaled globally and integrated into a broader thermal portfolio. In practical terms, Trane is positioning itself to deliver cooling across the full thermal chain, including: • Central plant equipment and chillers.• Heat rejection and controls

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Infrastructure Maturity Defines the Next Phase of AI Deployment

The State of Data Infrastructure Global Report 2025 from Hitachi Vantara arrives at a moment when the data center industry is undergoing one of the most profound structural shifts in its history. The transition from enterprise IT to AI-first infrastructure has moved from aspiration to inevitability, forcing operators, developers, and investors to confront uncomfortable truths about readiness, resilience, and risk. Although framed around “AI readiness,” the report ultimately tells an infrastructure story: one that maps directly onto how data centers are designed, operated, secured, and justified economically. Drawing on a global survey of more than 1,200 IT leaders, the report introduces a proprietary maturity model that evaluates organizations across six dimensions: scalability, reliability, security, governance, sovereignty, and sustainability. Respondents are then grouped into three categories—Emerging, Defined, and Optimized—revealing a stark conclusion: most organizations are not constrained by access to AI models or capital, but by the fragility of the infrastructure supporting their data pipelines. For the data center industry, the implications are immediate, shaping everything from availability design and automation strategies to sustainability planning and evolving customer expectations. In short, extracting value from AI now depends less on experimentation and more on the strength and resilience of the underlying infrastructure. The Focus of the Survey: Infrastructure, Not Algorithms Although the report is positioned as a study of AI readiness, its primary focus is not models, training approaches, or application development, but rather the infrastructure foundations required to operate AI reliably at scale. Drawing on responses from more than 1,200 organizations, Hitachi Vantara evaluates how enterprises are positioned to support production AI workloads across six dimensions as stated above: scalability, reliability, security, governance, sovereignty, and sustainability. These factors closely reflect the operational realities shaping modern data center design and management. The survey’s central argument is that AI success is no longer

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AI’s New Land Grab: Meta’s Indiana Megaproject and the Rise of Europe’s Neocloud Challengers

While Meta’s Indiana campus anchors hyperscale expansion in the United States, Europe recorded its own major infrastructure milestone this week as Amsterdam-based AI infrastructure provider Nebius unveiled plans for a 240-megawatt data center campus in Béthune, France, near Lille in the country’s northern industrial corridor. When completed, the campus will rank among Europe’s largest AI-focused data center facilities and positions northern France as a growing node in the continent’s expanding AI infrastructure map. The development repurposes a former Bridgestone tire manufacturing site, reflecting a broader trend across Europe in which legacy industrial properties, already equipped with heavy power access, transport links, and industrial zoning, are being converted into large-scale digital infrastructure hubs. Located within reach of connectivity and enterprise corridors linking Paris, Brussels, London, and Amsterdam, the site allows Nebius to serve major European markets while avoiding the congestion and power constraints increasingly shaping Tier 1 data center hubs. Industrial Infrastructure Becomes Digital Infrastructure Developers increasingly view former industrial sites as ideal for AI campuses because they often provide: • Existing grid interconnection capacity built for heavy industry• Transport and logistics infrastructure already in place• Industrial zoning that reduces permitting friction• Large contiguous parcels suited to phased campus expansion For regions like Hauts-de-France, redevelopment projects also offer economic transition opportunities, replacing legacy manufacturing capacity with next-generation digital infrastructure investment. Local officials have positioned the project as part of broader efforts to reposition northern France as a logistics and technology hub within Europe. The Neocloud Model Gains Ground Beyond the site itself, Nebius’ expansion illustrates the rapid emergence of neocloud infrastructure providers, companies building GPU-intensive AI capacity without operating full hyperscale cloud ecosystems. These firms increasingly occupy a strategic middle ground: supplying AI compute capacity to enterprises, startups, and even hyperscalers facing short-term infrastructure constraints. Nebius’ rise over the past year

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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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