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Why conservationists are making rhinos radioactive

Every year, poachers shoot hundreds of rhinos, fishing crews haul millions of sharks out of protected seas, and smugglers carry countless animals and plants across borders. This illegal activity is incredibly hard to disrupt, since it’s backed by sophisticated criminal networks and the perpetrators know that their chances of being caught are slim. With an annual value of $20 billion, according to Interpol, it’s the world’s fourth-most-lucrative criminal enterprise after trafficking in drugs, weapons, and people. The United Nations seeks to end trafficking in protected species by 2030. But the environmental guardians facing up to these nefarious networks—dispersed alliances of rangers, community groups, and law enforcement officers—have long been ill equipped and underfunded. A recent report by the UN Office on Drugs and Crime found “no reason for confidence” that the 2030 target would be reached.  Still, there is genuine hope that tech could help turn the tide. Tools initially developed for cities and research facilities are increasingly moving into the planet’s wild places, allowing environmental agencies and self-motivated communities in both richer and poorer countries to step up their efforts to detect illegal goods, trace smuggling networks, and prevent poaching at the source.  In December, Interpol announced it had seized record numbers of live animals, thanks in part to a set of sophisticated tools that had helped to expose hidden networks behind trafficking. Its Operation Thunder 2025 coordinated law enforcement agencies from 134 countries and seized 30,000 live animals, from apes to butterflies, using a suite of technologies including digital forensics and AI-driven detection. “The success of Thunder 2025 shows that modern threats demand modern tools,” says José Adrián Sanchez Romero, an operations coordinator at Interpol’s environmental security subdirectorate. Here are five examples of technologies that are arming conservationists and others in the battle to end wildlife crime.  COURTESY OF THE RHISOTOPE PROJECT Tagging rhinos In July, a group of South African researchers announced they had won government approval for one of the most eyebrow-raising attempts to prevent wildlife crime: drilling radioactive substances into the horns of rhinoceroses.  In an effort dubbed the Rhisotope Project, the group worked in 2024 and 2025 to fit 33 rhinos from Limpopo Rhino Orphanage in South Africa with pellets containing low-level radioactive isotopes. The project is supported by the International Atomic Energy Agency.  Blood samples and veterinary exams have shown that the pellets don’t affect the health of the rhinos, the rangers, or the surrounding environment. But the isotope emits enough radiation for the horns to be detected by radiation portal monitors, devices that can scan cargo containers and vehicles to detect illicit sources of radiation. Eleven thousand such monitors are already in operation at airports and shipping terminals worldwide, in addition to thousands of personal monitors worn by border security. In November 2024, Rhisotope tested the system at New York airports and harbors in collaboration with the US Customs and Border Patrol. The group found that border guards could detect an individual horn the team had planted inside a full 40-foot shipping container. The project was pioneered by James Larkin, director of the radiation and health physics unit at the University of the Witwatersrand in South Africa. Though the country is currently home to 15,000 rhinos, the majority of Africa’s total population, poachers have killed 10,000 rhinos there since 2007. In the past, the common approach to deterring poachers was to eliminate the part they’re seeking, preemptively cutting off the animal’s entire horn. But dehorning requires rhinos to be sedated for long periods, and it’s a stressful and costly process that must be repeated every 18 to 24 months, as rhino horns grow back. The act also renders rhinos less able to protect themselves, and they tend to withdraw from social interactions and competition for mates. The new approach is far less painful and time-consuming. Each dose costs 21,500 South African rand (about $1,300) per animal and remains active for five years. Warning signs along perimeter fences make it clear the animals have been tagged, helping to deter poachers.  Larkin, who spent his career as a nuclear safety expert, says he was initially wary when conservationists suggested to him that radioactive substances could help prevent rhino poaching, joking that he didn’t want to end up in jail if anyone got hurt. But he changed his mind when he realized there was a dose that would be harmless to bystanders while making the horns both worthless to smugglers and readily detectable. Poachers will kill a rhino for even a small amount of horn, which can fetch $60,000 per kilogram as an ingredient for traditional medicines. Adding isotopes, though, renders the horns potentially unsafe to consume, and it’s hard for smugglers to reverse: “It’s almost impossible to remove isotopes unless you are a skilled radiation protection officer who knows what they are looking for,” Larkin says. Even so, he’s tight-lipped about the compound the pellets are made from and what they look like: “I don’t want to help criminals,” he explains. The South African health agency has now approved Rhisotope to roll out the program across the country. “We have a goal ultimately to treat up to 500 rhinos a year,” says Jessica Babich, chief executive of the project. At the same time, the group is working to adapt its approach to other popular poaching targets—elephant tusks and pangolin scales—as well as trafficked plants like cycads.  COURTESY OF TARONGA CONSERVATION SOCIETY COURTESY OF TARONGA CONSERVATION SOCIETY Scanning signatures For many exotic pets, from birds to pythons, there are two parallel trades: a legal one in farmed or captive-bred animals and an illicit one in creatures taken from the wild. But faced with a lizard or a parrot, how can law enforcement know its origin story? In Australia, some conservationists have been trying to follow the numbers. It’s very hard to breed the egg-­laying mammals known as short-beaked echidnas. US zoos have yielded only 19 echidna babies, or “puggles,” in a century of efforts. So Indonesia’s yearly export of dozens of “captive-bred” echidnas has long raised suspicions.  To address the issue, a team at Australia’s Taronga Conservation Society, led by Kate Brandis, has developed an x-ray fluorescence (XRF) gun that can analyze elemental signatures in keratin—the stuff of quills, feathers, and hair. Wild echidnas, for instance, forage for a diverse diet of beetle larvae, ants, and grubs, while captive animals tend to be raised on a low-diversity diet of commercial feed. Each of these dietary histories leaves a record in the mammals’ porcupine-like spines, which can be read with high accuracy using a handheld XRF gun. Similar evidence can be found in other species, like cockatoos, pangolins, and turtles, which the team has used to test the device.  There is certainly plenty more to be done: Australia, home to many unique species that live nowhere else on the planet, is a target for collectors from Asia, Europe, and the US. Brandis is targeting some of the species most often trafficked out of the country, including shingleback and blue-tongue lizards. Not long ago, Australian environmental authorities led a trial study at post offices across the country, using the XRF gun alongside AI-equipped parcel scanners, which Brandis’s team had trained to recognize concealed species in real time. The trial uncovered more than 100 legally protected lizards that were being shipped out of Australia; a distributor was sentenced to more than three years in jail. COURTESY OF SKYLIGHT AI COURTESY OF SKYLIGHT AI AI in the sky Commercial fishing, scuba diving, and oil exploration are all prohibited in the Papahānaumokuākea Marine National Monument near Hawaii, an expanse of the Pacific larger than all US national parks combined. It is just one of a number of vast marine protected areas that have emerged in recent years, along with global pacts to conserve 30% of Earth’s land and sea.  But establishing these reserves is just one step. Enforcing their protection is another matter. And for many marine reserves—especially those in the Global South—there is no real way to do that, says Ted Schmitt, senior director of conservation at the nonprofit Allen Institute for AI (AI2). Thousands of square kilometers of open ocean is a lot to monitor. Even with satellites scanning the marine areas, the reality until recently was that you had to know what you were looking for: “When you have the vastness of the ocean, you can have analysts who are very well trained, looking for vessels,” he says. Even then, there is little chance of finding wrongdoing without intelligence from the ground.  In 2017, Microsoft cofounder Paul Allen began developing a tool called Skylight to provide analysts with more of that intelligence, using AI to help analyze satellite and ship-tracking data to detect suspicious behavior. The project moved to AI2 after Allen’s death in 2018, and the technology has since been adopted by more than 200 organizations in more than 70 countries. “We’re basically monitoring the entire ocean 24-7-365, and surfacing all these vessels,” says Schmitt.  To see how coast guards use the system, Schmitt points to a series of arrests in Panama in early 2025. That January, satellites found 16 boats about 200 kilometers off the coast inside the Coiba Ridge marine reserve, which serves as a migratory highway for sharks, rays, and large fish like yellowfin tuna. Skylight’s AI algorithms, trained to recognize the signature movements of various types of fishing, detected long-line fishing and requested higher-resolution images of the site from a commercial satellite flying overhead. The images and Skylight’s analysis were used by Panama’s environmental agency and military, which deployed ships and aircraft to the area, ultimately seizing six vessels and thousands of kilograms of illegally taken fish.  Skylight AI detects around 300,000 vessels per week, according to the company’s platform analytics. Stories like Coiba Ridge make clear that AI can benefit partners who are working tirelessly on the ground, says Schmitt: “The Panama case really was one of those ‘wow’ moments, not because the technology finally proved itself, but because the agencies that needed to operationalize it, and actually take it to a legal finish, did it.” COURTESY OF WILDTECHDNA Rapid DNA tests When the conservation scientist Natalie Schmitt was researching snow leopards in remote areas of Nepal, she worked with people who could point out signs of these elusive big cats—often a pile of droppings. But the results weren’t reliable: Leopard scat can easily be confused with the poop of wolves and foxes, which share the same habitat and prey, she explains. What Schmitt wanted was a tool that could identify the animal involved, right on the spot—ideally by finding a way to sequence the DNA in the scat.  While some laboratories can take DNA samples of such material and identify species of interest, they are few and far between in rich countries and usually nonexistent in poorer countries, meaning that this process can be weeks long and involve shipping samples cross-country or across borders. This is a problem not just for field research but for wildlife trafficking enforcement. Imagine a border agent who has just opened a box of shark-like fins or a shipment of live parrots and needs to know whether the particular species is one that can legally be captured and transported. People in this situation don’t have weeks to spare. In 2020, Schmitt founded WildTechDNA, which has developed a DNA test that aims to do that work on the fly. The test, which is about as easy and fast as a home pregnancy test, employs a simple two-step process. First, a new extraction method—“Literally, put the sample in the extraction tube and squeeze 10 times,” she says—can cut the time it takes to pull DNA out of a sample from a day to about three minutes. Then, to actually test that DNA, the company took inspiration from the covid pandemic. The researchers found they could use technology similar to rapid at-home tests to identify whether the DNA in question belongs to a specific species: “Our tests use very simple lateral-flow strips to tell you whether a sample belongs to your target species of interest, yes or no.” The strips can be tailored to test for a wide range of targets, from big cats to microbes, opening up diverse applications in the wild. They can tell if samples of hair belong to a snow leopard, or if a frog has been infected with the fungi that cause chytridiomycosis, a disease that has devastated amphibians worldwide and wiped out at least 90 species.  WildTechDNA’s earliest adopter was the Canadian government, which wanted to detect European eels—a critically endangered species that is effectively impossible to identify by appearance. This confusion has allowed €3 billion of European eels to be smuggled each year, disguised as other eel species. Some of that passes into Canada on its way to suppliers in Japan and China, and in some cases on to Canadian restaurants and consumers. “When a shipment is suspected to contain European eel, they’ll randomly sample it and they’ll send those samples off to a lab across the country, which will take three weeks,” says Schmitt of traditional tracking methods. WildTechDNA developed tests specific to European eels and taught Canadian enforcement officers how to use them, so that they could launch a “nationwide European eel blitz,” she says. In a 2025 campaign, European eels turned up in fewer than 1% of shipments. Schmitt says Canadian authorities have not disclosed details about investigations but are encouraged by the results—significantly below the rates detected using older technologies in 2016, an improvement they attribute to better surveillance. COURTESY OF RAINFOREST CONNECTION Listening in The world’s forests are increasingly filled with snooping devices. In addition to affordable camera traps and animal-mounted GPS tags, low-cost solar-powered microphones have proved to be strikingly effective at revealing what’s living in some of the planet’s most densely inhabited and biodiverse environments.  Rainforest Connection, a nonprofit founded by the physicist turned conservation-­tech entrepreneur Topher White in 2014, was a pioneer in bioacoustic monitoring for conservation. The group initially repurposed old phones into low-cost monitoring devices but has since developed a standardized device called the Guardian that has now been deployed in more than 600 locations.  Guardians are designed to capture a broad soundscape of the rainforest: “They sit out in the rainforest for long periods of time, up in treetops. They’re solar-powered, they can last for years, and we listen to all the sounds continuously and transmit that up to the cloud, where we are then able to analyze it for all sorts of things,” says White. From the outset, the aim was to use these devices to pick up immediate threats—“chainsaws, logging trucks, gunshots, things like that,” White says—and relay real-time alerts to local partners, including police, Indigenous groups, and local communities that protect the land. COURTESY OF RAINFOREST CONNECTION COURTESY OF RAINFOREST CONNECTION Bioacoustic monitoring devices have rapidly advanced in recent years. Many can now analyze data before transmitting it, and they’ve become cheaper to make as batteries have gotten smaller. By today’s standards, Rainforest Connection’s sensors are “over-engineered,” says White. But having a large number of detectors already deployed means there is ample data that can be mined for signals beyond well-known red flags, like gunshots. “An area for a lot more innovation going forward is to use the soundscape itself as a detector,” White says. Rainforest Connection and the German software firm SAP tested this approach on the island of Sumatra and found they could identify human intruders by using machine learning to hunt for “uncharacteristic sudden changes to the soundscape.” For example, tracking animal calls—and noting when those animals go silent—could reveal the arrival of poachers. In 2026, Rainforest Connection will roll out this approach to reserves in Thailand, Jamaica, and Romania by building a unique model for each environment, trained on thousands of hours of audio and verified using camera traps. “We have a lot of eyes and ears in the forest already, all of which are aware and reacting to each other and to new stimuli,” White says. For the rest of us, Rainforest Connection’s unfiltered stream has another use: an app where you can listen to the livestream from the Ecuadorian rainforest, taking in the complete soundscape of birdsong, frog chatter, and cicada chirps. Matthew Ponsford is a freelance reporter based in London.

Every year, poachers shoot hundreds of rhinos, fishing crews haul millions of sharks out of protected seas, and smugglers carry countless animals and plants across borders. This illegal activity is incredibly hard to disrupt, since it’s backed by sophisticated criminal networks and the perpetrators know that their chances of being caught are slim. With an annual value of $20 billion, according to Interpol, it’s the world’s fourth-most-lucrative criminal enterprise after trafficking in drugs, weapons, and people.

The United Nations seeks to end trafficking in protected species by 2030. But the environmental guardians facing up to these nefarious networks—dispersed alliances of rangers, community groups, and law enforcement officers—have long been ill equipped and underfunded. A recent report by the UN Office on Drugs and Crime found “no reason for confidence” that the 2030 target would be reached. 

Still, there is genuine hope that tech could help turn the tide. Tools initially developed for cities and research facilities are increasingly moving into the planet’s wild places, allowing environmental agencies and self-motivated communities in both richer and poorer countries to step up their efforts to detect illegal goods, trace smuggling networks, and prevent poaching at the source. 

In December, Interpol announced it had seized record numbers of live animals, thanks in part to a set of sophisticated tools that had helped to expose hidden networks behind trafficking. Its Operation Thunder 2025 coordinated law enforcement agencies from 134 countries and seized 30,000 live animals, from apes to butterflies, using a suite of technologies including digital forensics and AI-driven detection. “The success of Thunder 2025 shows that modern threats demand modern tools,” says José Adrián Sanchez Romero, an operations coordinator at Interpol’s environmental security subdirectorate.

Here are five examples of technologies that are arming conservationists and others in the battle to end wildlife crime. 

Researcher marks the horn of a subdued rhino on the ground

COURTESY OF THE RHISOTOPE PROJECT

Tagging rhinos

In July, a group of South African researchers announced they had won government approval for one of the most eyebrow-raising attempts to prevent wildlife crime: drilling radioactive substances into the horns of rhinoceroses. 

In an effort dubbed the Rhisotope Project, the group worked in 2024 and 2025 to fit 33 rhinos from Limpopo Rhino Orphanage in South Africa with pellets containing low-level radioactive isotopes. The project is supported by the International Atomic Energy Agency. 

Blood samples and veterinary exams have shown that the pellets don’t affect the health of the rhinos, the rangers, or the surrounding environment. But the isotope emits enough radiation for the horns to be detected by radiation portal monitors, devices that can scan cargo containers and vehicles to detect illicit sources of radiation. Eleven thousand such monitors are already in operation at airports and shipping terminals worldwide, in addition to thousands of personal monitors worn by border security. In November 2024, Rhisotope tested the system at New York airports and harbors in collaboration with the US Customs and Border Patrol. The group found that border guards could detect an individual horn the team had planted inside a full 40-foot shipping container.

The project was pioneered by James Larkin, director of the radiation and health physics unit at the University of the Witwatersrand in South Africa. Though the country is currently home to 15,000 rhinos, the majority of Africa’s total population, poachers have killed 10,000 rhinos there since 2007. In the past, the common approach to deterring poachers was to eliminate the part they’re seeking, preemptively cutting off the animal’s entire horn. But dehorning requires rhinos to be sedated for long periods, and it’s a stressful and costly process that must be repeated every 18 to 24 months, as rhino horns grow back. The act also renders rhinos less able to protect themselves, and they tend to withdraw from social interactions and competition for mates.

The new approach is far less painful and time-consuming. Each dose costs 21,500 South African rand (about $1,300) per animal and remains active for five years. Warning signs along perimeter fences make it clear the animals have been tagged, helping to deter poachers. 

Larkin, who spent his career as a nuclear safety expert, says he was initially wary when conservationists suggested to him that radioactive substances could help prevent rhino poaching, joking that he didn’t want to end up in jail if anyone got hurt. But he changed his mind when he realized there was a dose that would be harmless to bystanders while making the horns both worthless to smugglers and readily detectable.

Poachers will kill a rhino for even a small amount of horn, which can fetch $60,000 per kilogram as an ingredient for traditional medicines. Adding isotopes, though, renders the horns potentially unsafe to consume, and it’s hard for smugglers to reverse: “It’s almost impossible to remove isotopes unless you are a skilled radiation protection officer who knows what they are looking for,” Larkin says. Even so, he’s tight-lipped about the compound the pellets are made from and what they look like: “I don’t want to help criminals,” he explains.

The South African health agency has now approved Rhisotope to roll out the program across the country. “We have a goal ultimately to treat up to 500 rhinos a year,” says Jessica Babich, chief executive of the project. At the same time, the group is working to adapt its approach to other popular poaching targets—elephant tusks and pangolin scales—as well as trafficked plants like cycads. 

A handheld portable scanner on the flank of a lizard

COURTESY OF TARONGA CONSERVATION SOCIETY
scan of a lizard

COURTESY OF TARONGA CONSERVATION SOCIETY

Scanning signatures

For many exotic pets, from birds to pythons, there are two parallel trades: a legal one in farmed or captive-bred animals and an illicit one in creatures taken from the wild. But faced with a lizard or a parrot, how can law enforcement know its origin story?

In Australia, some conservationists have been trying to follow the numbers. It’s very hard to breed the egg-­laying mammals known as short-beaked echidnas. US zoos have yielded only 19 echidna babies, or “puggles,” in a century of efforts. So Indonesia’s yearly export of dozens of “captive-bred” echidnas has long raised suspicions. 

To address the issue, a team at Australia’s Taronga Conservation Society, led by Kate Brandis, has developed an x-ray fluorescence (XRF) gun that can analyze elemental signatures in keratin—the stuff of quills, feathers, and hair. Wild echidnas, for instance, forage for a diverse diet of beetle larvae, ants, and grubs, while captive animals tend to be raised on a low-diversity diet of commercial feed. Each of these dietary histories leaves a record in the mammals’ porcupine-like spines, which can be read with high accuracy using a handheld XRF gun. Similar evidence can be found in other species, like cockatoos, pangolins, and turtles, which the team has used to test the device. 

There is certainly plenty more to be done: Australia, home to many unique species that live nowhere else on the planet, is a target for collectors from Asia, Europe, and the US. Brandis is targeting some of the species most often trafficked out of the country, including shingleback and blue-tongue lizards. Not long ago, Australian environmental authorities led a trial study at post offices across the country, using the XRF gun alongside AI-equipped parcel scanners, which Brandis’s team had trained to recognize concealed species in real time. The trial uncovered more than 100 legally protected lizards that were being shipped out of Australia; a distributor was sentenced to more than three years in jail.

serviceman at a control center looks at the Skylight AI app on a large wall display

COURTESY OF SKYLIGHT AI
person holds a phone with the app while looking at a nearby vessel at sea

COURTESY OF SKYLIGHT AI

AI in the sky

Commercial fishing, scuba diving, and oil exploration are all prohibited in the Papahānaumokuākea Marine National Monument near Hawaii, an expanse of the Pacific larger than all US national parks combined. It is just one of a number of vast marine protected areas that have emerged in recent years, along with global pacts to conserve 30% of Earth’s land and sea. 

But establishing these reserves is just one step. Enforcing their protection is another matter. And for many marine reserves—especially those in the Global South—there is no real way to do that, says Ted Schmitt, senior director of conservation at the nonprofit Allen Institute for AI (AI2). Thousands of square kilometers of open ocean is a lot to monitor. Even with satellites scanning the marine areas, the reality until recently was that you had to know what you were looking for: “When you have the vastness of the ocean, you can have analysts who are very well trained, looking for vessels,” he says. Even then, there is little chance of finding wrongdoing without intelligence from the ground. 

In 2017, Microsoft cofounder Paul Allen began developing a tool called Skylight to provide analysts with more of that intelligence, using AI to help analyze satellite and ship-tracking data to detect suspicious behavior. The project moved to AI2 after Allen’s death in 2018, and the technology has since been adopted by more than 200 organizations in more than 70 countries. “We’re basically monitoring the entire ocean 24-7-365, and surfacing all these vessels,” says Schmitt. 

To see how coast guards use the system, Schmitt points to a series of arrests in Panama in early 2025. That January, satellites found 16 boats about 200 kilometers off the coast inside the Coiba Ridge marine reserve, which serves as a migratory highway for sharks, rays, and large fish like yellowfin tuna. Skylight’s AI algorithms, trained to recognize the signature movements of various types of fishing, detected long-line fishing and requested higher-resolution images of the site from a commercial satellite flying overhead. The images and Skylight’s analysis were used by Panama’s environmental agency and military, which deployed ships and aircraft to the area, ultimately seizing six vessels and thousands of kilograms of illegally taken fish. 

Skylight AI detects around 300,000 vessels per week, according to the company’s platform analytics. Stories like Coiba Ridge make clear that AI can benefit partners who are working tirelessly on the ground, says Schmitt: “The Panama case really was one of those ‘wow’ moments, not because the technology finally proved itself, but because the agencies that needed to operationalize it, and actually take it to a legal finish, did it.”

closeup on the gloved hands of a man outside with a DNA test kit

COURTESY OF WILDTECHDNA

Rapid DNA tests

When the conservation scientist Natalie Schmitt was researching snow leopards in remote areas of Nepal, she worked with people who could point out signs of these elusive big cats—often a pile of droppings. But the results weren’t reliable: Leopard scat can easily be confused with the poop of wolves and foxes, which share the same habitat and prey, she explains. What Schmitt wanted was a tool that could identify the animal involved, right on the spot—ideally by finding a way to sequence the DNA in the scat. 

While some laboratories can take DNA samples of such material and identify species of interest, they are few and far between in rich countries and usually nonexistent in poorer countries, meaning that this process can be weeks long and involve shipping samples cross-country or across borders. This is a problem not just for field research but for wildlife trafficking enforcement. Imagine a border agent who has just opened a box of shark-like fins or a shipment of live parrots and needs to know whether the particular species is one that can legally be captured and transported. People in this situation don’t have weeks to spare.

In 2020, Schmitt founded WildTechDNA, which has developed a DNA test that aims to do that work on the fly. The test, which is about as easy and fast as a home pregnancy test, employs a simple two-step process. First, a new extraction method—“Literally, put the sample in the extraction tube and squeeze 10 times,” she says—can cut the time it takes to pull DNA out of a sample from a day to about three minutes. Then, to actually test that DNA, the company took inspiration from the covid pandemic. The researchers found they could use technology similar to rapid at-home tests to identify whether the DNA in question belongs to a specific species: “Our tests use very simple lateral-flow strips to tell you whether a sample belongs to your target species of interest, yes or no.”

The strips can be tailored to test for a wide range of targets, from big cats to microbes, opening up diverse applications in the wild. They can tell if samples of hair belong to a snow leopard, or if a frog has been infected with the fungi that cause chytridiomycosis, a disease that has devastated amphibians worldwide and wiped out at least 90 species. 

WildTechDNA’s earliest adopter was the Canadian government, which wanted to detect European eels—a critically endangered species that is effectively impossible to identify by appearance. This confusion has allowed €3 billion of European eels to be smuggled each year, disguised as other eel species. Some of that passes into Canada on its way to suppliers in Japan and China, and in some cases on to Canadian restaurants and consumers. “When a shipment is suspected to contain European eel, they’ll randomly sample it and they’ll send those samples off to a lab across the country, which will take three weeks,” says Schmitt of traditional tracking methods. WildTechDNA developed tests specific to European eels and taught Canadian enforcement officers how to use them, so that they could launch a “nationwide European eel blitz,” she says.

In a 2025 campaign, European eels turned up in fewer than 1% of shipments. Schmitt says Canadian authorities have not disclosed details about investigations but are encouraged by the results—significantly below the rates detected using older technologies in 2016, an improvement they attribute to better surveillance.

Guardian device in a tree

COURTESY OF RAINFOREST CONNECTION

Listening in

The world’s forests are increasingly filled with snooping devices. In addition to affordable camera traps and animal-mounted GPS tags, low-cost solar-powered microphones have proved to be strikingly effective at revealing what’s living in some of the planet’s most densely inhabited and biodiverse environments. 

Rainforest Connection, a nonprofit founded by the physicist turned conservation-­tech entrepreneur Topher White in 2014, was a pioneer in bioacoustic monitoring for conservation. The group initially repurposed old phones into low-cost monitoring devices but has since developed a standardized device called the Guardian that has now been deployed in more than 600 locations. 

Guardians are designed to capture a broad soundscape of the rainforest: “They sit out in the rainforest for long periods of time, up in treetops. They’re solar-powered, they can last for years, and we listen to all the sounds continuously and transmit that up to the cloud, where we are then able to analyze it for all sorts of things,” says White. From the outset, the aim was to use these devices to pick up immediate threats—“chainsaws, logging trucks, gunshots, things like that,” White says—and relay real-time alerts to local partners, including police, Indigenous groups, and local communities that protect the land.

COURTESY OF RAINFOREST CONNECTION
Guardian device in a tree canopy

COURTESY OF RAINFOREST CONNECTION

Bioacoustic monitoring devices have rapidly advanced in recent years. Many can now analyze data before transmitting it, and they’ve become cheaper to make as batteries have gotten smaller. By today’s standards, Rainforest Connection’s sensors are “over-engineered,” says White. But having a large number of detectors already deployed means there is ample data that can be mined for signals beyond well-known red flags, like gunshots. “An area for a lot more innovation going forward is to use the soundscape itself as a detector,” White says. Rainforest Connection and the German software firm SAP tested this approach on the island of Sumatra and found they could identify human intruders by using machine learning to hunt for “uncharacteristic sudden changes to the soundscape.” For example, tracking animal calls—and noting when those animals go silent—could reveal the arrival of poachers. In 2026, Rainforest Connection will roll out this approach to reserves in Thailand, Jamaica, and Romania by building a unique model for each environment, trained on thousands of hours of audio and verified using camera traps. “We have a lot of eyes and ears in the forest already, all of which are aware and reacting to each other and to new stimuli,” White says.

For the rest of us, Rainforest Connection’s unfiltered stream has another use: an app where you can listen to the livestream from the Ecuadorian rainforest, taking in the complete soundscape of birdsong, frog chatter, and cicada chirps.

Matthew Ponsford is a freelance reporter based in London.

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Insights: Venezuela – new legal frameworks vs. the inertia of history

@import url(‘https://fonts.googleapis.com/css2?family=Inter:[email protected]&display=swap’); a { color: var(–color-primary-main); } .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; font-family: Inter; } 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; opacity: .6; } #onetrust-pc-sdk [id*=btn-handler], #onetrust-pc-sdk [class*=btn-handler] { background-color: #c19a06 !important; border-color: #c19a06 !important; } #onetrust-policy a, #onetrust-pc-sdk a, #ot-pc-content a { color: #c19a06 !important; } #onetrust-consent-sdk #onetrust-pc-sdk .ot-active-menu { border-color: #c19a06 !important; } #onetrust-consent-sdk #onetrust-accept-btn-handler, #onetrust-banner-sdk #onetrust-reject-all-handler, #onetrust-consent-sdk #onetrust-pc-btn-handler.cookie-setting-link { background-color: #c19a06 !important; border-color: #c19a06 !important; } #onetrust-consent-sdk .onetrust-pc-btn-handler { color: #c19a06 !important; border-color: #c19a06 !important; } In this Insights episode of the Oil & Gas Journal ReEnterprised podcast, Head of Content Chris Smith updates the evolving situation in Venezuela as the industry attempts to navigate the best path forward while the two governments continue to hammer out the details. The discussion centers on the new legal frameworks being established in both countries within the context of fraught relations stretching back for decades. Want to hear more? Listen in on a January episode highlighting industry’s initial take following the removal of Nicholas Maduro from power. References Politico podcast Monaldi Substack Baker webinar Washington, Caracas open Venezuela to allow more oil sales 

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Eni makes Calao South discovery offshore Ivory Coast

@import url(‘https://fonts.googleapis.com/css2?family=Inter:[email protected]&display=swap’); a { color: var(–color-primary-main); } .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; font-family: Inter; } 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; opacity: .6; } #onetrust-pc-sdk [id*=btn-handler], #onetrust-pc-sdk [class*=btn-handler] { background-color: #c19a06 !important; border-color: #c19a06 !important; } #onetrust-policy a, #onetrust-pc-sdk a, #ot-pc-content a { color: #c19a06 !important; } #onetrust-consent-sdk #onetrust-pc-sdk .ot-active-menu { border-color: #c19a06 !important; } #onetrust-consent-sdk #onetrust-accept-btn-handler, #onetrust-banner-sdk #onetrust-reject-all-handler, #onetrust-consent-sdk #onetrust-pc-btn-handler.cookie-setting-link { background-color: #c19a06 !important; border-color: #c19a06 !important; } #onetrust-consent-sdk .onetrust-pc-btn-handler { color: #c19a06 !important; border-color: #c19a06 !important; } Eni SPA discovered gas and condensate in the Murene South-1X exploration well in Block CI-501, Ivory Coast. The well is the first exploration in the block and was drilled by the Saipem Santorini drilling ship about 8 km southwest of the Murene-1X discovery well in adjacent CI-205 block. The well was drilled to about 5,000 m TD in 2,200 m of water. Extensive data acquisition confirmed a main hydrocarbon bearing interval in high-quality Cenomanian sands with a gross thickness of about 50 m with excellent petrophysical properties, the operator said. Murene South-1X will undergo a full conventional drill stem test (DST) to assess the production capacity of this discovery, named Calao South. Calao South confirms the potential of the Calao channel complex that also includes the Calao discovery. It is the second largest discovery in the country after Baleine, with estimated volumes of up to 5.0 tcf of gas and 450 million bbl of condensate (about 1.4 billion bbl of oil). Eni is operator of Block CI-501 (90%) with partner Petroci Holding (10%).

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CFEnergía to supply natural gas to low-carbon methanol plant in Mexico

CFEnergía, a subsidiary of Mexico’s Federal Electricity Commission (CFE), has agreed to supply natural gas to Transition Industries LLC for its Pacifico Mexinol project near Topolobampo, Sinaloa, Mexico. Under the signed agreement, which enables the start of Pacifico Mexinol’s construction phase, CFEnergía will supply about 160 MMcfd of natural gas for an unspecified timeframe noted as “long term,” Transition Industries said in a release Feb. 16. The natural gas—to be sourced from the US and supplied at market prices via existing infrastructure—will be used as “critical input for Mexinol’s production of ultra-low carbon methanol,” the company said. Pacifico Mexinol The $3.3-billion Mexinol project, when it begins operations in late 2029 to early 2030, is expected to be the world’s largest ultra-low carbon chemicals plant with production of about 1.8 million tonnes of blue methanol and 350,000 tonnes of green methanol annually. Supply is aimed at markets in Asia, including Japan, while also boosting the development of the domestic market and the Mexican chemical industry. Mitsubishi Gas Chemical has committed to purchasing about 1 million tonnes/year of methanol from the project, about 50% of the project’s planned production. Transition Industries is jointly developing Pacifico Mexinol with the International Finance Corporation (IFC), a member of the World Bank Group. Last year, the company signed a contingent engineering, procurement, and construction (EPC) contract with the consortium of Samsung E&A Co., Ltd., Grupo Samsung E&A Mexico SA de CV, and Techint Engineering and Construction for the project. MAIRE group’s technology division NextChem, through its subsidiary KT TECH SpA, also signed a basic engineering, critical and proprietary equipment supply agreement with Samsung E&A in connection with its proprietary NX AdWinMethanol®Zero technology supply to the project.

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North Atlantic’s Gravenchon refinery scheduled for major turnaround

Canada-based North Atlantic Refining Ltd. France-based subsidiary North Atlantic France SAS is undertaking planned maintenance in March at its North Atlantic Energies-operated 230,000-b/d Notre-Dame-de-Gravenchon refinery in Port-Jérôme-sur-Seine, Normandy. Scheduled to begin on Mar. 3 with the phased shutdown of unidentified units at the refinery, the upcoming turnaround will involve thorough inspections of associated equipment designed for continuous operation, as well as unspecified works to improve energy efficiency, environmental performance, and overall competitiveness of the site, North Atlantic Energies said on Feb. 16. Part of the operator’s routine maintenance program aimed at meeting regulatory requirements to ensure the safety, compliance, and long-term performance of the refinery, North Atlantic Energies said the scheduled turnaround will not interrupt product supplies to customers during the shutdown period. While the company confirmed the phased shutdown of units slated for work during the maintenance event would last for several days, the operator did not reveal a definitive timeline for the entire duration of the turnaround. Further details regarding specific works to be carried out during the major maintenance event were not revealed. The upcoming turnaround will be the first to be executed under North Atlantic Group’s ownership, which completed its purchase of the formerly majority-owned ExxonMobil Corp. refinery and associated petrochemical assets at the site in November 2025.

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Azule Energy starts Ndungu full field production offshore Angola

Azule Energy has started full field production from Ndungu, part of the Agogo Integrated West Hub Project (IWH) in the western area of Block 15/06, offshore Angola. Ndungo full field lies about 10 km from the NGOMA FPSO in a water depth of around 1,100 m and comprises seven production wells and four injection wells, with an expected production peak of 60,000 b/d of oil. The National Agency for Petroleum, Gas and Biofuels (ANPG) and Azule Energy noted the full field start-up with first oil of three production wells. The phased integration of IWH, with Ndungu full field producing first via N’goma FPSO and later via Agogo FPSO, is expected to reach a peak output of about 175,000 b/d across the two fields. The fields have combined estimated reserves of about 450 million bbl. The Agogo IWH project is operated by Azule Energy with a 36.84% stake alongside partners Sonangol E&P (36.84%) and Sinopec International (26.32%).   

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Nvidia lines up partners to boost security for industrial operations

Akamai extends its micro-segmentation and zero-trust security platform Guardicore to run on Nvidia BlueField GPUs The integration offloads user-configurable security processes from the host system to the Nvidia BlueField DPU and enables zero-trust segmentation without requiring software agents on fragile or legacy systems, according to Akamai. Organizations can implement this hardware-isolated, “agentless” security approach to help align with regulatory requirements and lower their risk profile for cyber insurance. “It delivers deep, out-of-band visibility across systems, networks, and applications without disrupting operations. Security policies can be enforced in real time and are capable of creating a strong protective boundary around critical operational systems. The result is trusted insight into operational activity and improved overall cyber resilience,” according to Akamai. Forescout works with Nvidia to bring zero-trust technology to OT networks Forescout applies network segmentation to contain lateral movement and enforce zero-trust controls. The technology would be further integrated into partnership work already being done by the two companies. By running Forescout’s on-premises sensor directly on the Nvidia BlueField, part of Nvidia Cybersecurity AI platform, customers can offload intensive computing tasks, such as deep packet inspections. This speeds up data processing, enhances asset intelligence, and improves real-time monitoring, providing security teams with the insights needed to stay ahead of emerging threats, according to Forescout. Palo Alto to demo Prisma AIRS AI Runtime Security on Nvidia BlueField DPU Palo Alto Networks recently partnered with Nvidia to run its Prisma AI-powered Radio Security(AIRs) package on the Nvidia BlueField DPU and will show off the technology at the conference. The technology is part of the Nvidia Enterprise AI Factory validated design and can offer real-time security protection for industrial network settings. “Prisma AIRS AI Runtime Security delivers deep visibility into industrial traffic and continuous monitoring for abnormal behavior. By running these security services on Nvidia BlueField, inspection

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Raising the temp on liquid cooling

IBM isn’t the only one. “We’ve been doing liquid cooling since 2012 on our supercomputers,” says Scott Tease, vice president and general manager of AI and high-performance computing at Lenovo’s infrastructure solutions group. “And we’ve been improving it ever since—we’re now on the sixth generation of that technology.” And the liquid Lenovo uses in its Neptune liquid cooling solution is warm water. Or, more precisely, hot water: 45 degrees Celsius. And when the water leaves the servers, it’s even hotter, Tease says. “I don’t have to chill that water, even if I’m in a hot climate,” he says. Even at high temperatures, the water still provides enough cooling to the chips that it has real value. “Generally, a data center will use evaporation to chill water down,” Tease adds. “Since we don’t have to chill the water, we don’t have to use evaporation. That’s huge amounts of savings on the water. For us, it’s almost like a perfect solution. It delivers the highest performance possible, the highest density possible, the lowest power consumption. So, it’s the most sustainable solution possible.” So, how is the water cooled down? It gets piped up to the roof, Tease says, where there are giant radiators with massive amounts of surface area. The heat radiates away, and then all the water flows right back to the servers again. Though not always. The hot water can also be used to, say, heat campus or community swimming pools. “We have data centers in the Nordics who are giving the heat to the local communities’ water systems,” Tease says.

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Vertiv’s AI Infrastructure Surge: Record Orders, Liquid Cooling Expansion, and Grid-Scale Power Reflect Data Center Growth

2) “Units of compute”: OneCore and SmartRun On the earnings call, Albertazzi highlighted Vertiv OneCore, an end-to-end data center solution designed to accelerate “time to token,” scaling in 12.5 MW building blocks; and Vertiv SmartRun, a prefabricated white space infrastructure solution aimed at rapidly accelerating fit-out and readiness. He pointed to collaborations (including Hut 8 and Compass Data Centers) as proof points of adoption, emphasizing that SmartRun can stand alone or plug into OneCore. 3) Cooling evolution: hybrid thermal chains and the “trim cooler” Asked how cooling architectures may change (amid industry chatter about warmer-temperature operations and shifting mixes of chillers, CDUs, and other components) Albertazzi leaned into complexity as a feature, not a bug. He argued heat rejection doesn’t disappear, even if some GPU loads can run at higher temperatures. Instead, the future looks hybrid, with mixed loads and resiliency requirements forcing more nuanced thermal chains. Vertiv’s strategic product anchor here is its “trim cooler” concept: a chiller optimized for higher-temperature operation while retaining flexibility for lower-temperature requirements in the same facility, maximizing free cooling where climate and design allow. And importantly, Albertazzi dismissed the idea that CDUs are going away: “We are pretty sure that CDUs in various shapes and forms are a long-term element of the thermal chain.” 4) Edge densification: CoolPhase Ceiling + CoolPhase Row (Feb. 3) Vertiv also expanded its thermal portfolio for edge and small IT environments with the: Vertiv CoolPhase Ceiling (launching Q2 2026): ceiling-mounted, 3.5 kW to 28 kW, designed to preserve floor space. Vertiv CoolPhase Row (available now in North America) for row-based cooling up to 30 kW (300 mm width) or 40 kW (600 mm width). Vertiv Director of Edge Thermal Michal Podmaka tied the products directly to AI-driven edge densification and management consistency, saying the new systems “integrate seamlessly

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Execution, Power, and Public Trust: Rich Miller on 2026’s Data Center Reality and Why He Built Data Center Richness

DCF founder Rich Miller has spent much of his career explaining how the data center industry works. Now, with his latest venture, Data Center Richness, he’s also examining how the industry learns. That thread provided the opening for the latest episode of The DCF Show Podcast, where Miller joined present Data Center Frontier Editor in Chief Matt Vincent and Senior Editor David Chernicoff for a wide-ranging discussion that ultimately landed on a simple conclusion: after two years of unprecedented AI-driven announcements, 2026 will be the year reality asserts itself. Projects will either get built, or they won’t. Power will either materialize, or it won’t. Communities will either accept data center expansion – or they’ll stop it. In other words, the industry is entering its execution phase. Why Data Center Richness Matters Now Miller launched Data Center Richness as both a podcast and a Substack publication, an effort to experiment with formats and better understand how professionals now consume industry information. Podcasts have become a primary way many practitioners follow the business, while YouTube’s discovery advantages increasingly make video versions essential. At the same time, Miller remains committed to written analysis, using Substack as a venue for deeper dives and format experimentation. One example is his weekly newsletter distilling key industry developments into just a handful of essential links rather than overwhelming readers with volume. The approach reflects a broader recognition: the pace of change has accelerated so much that clarity matters more than quantity. The topic of how people learn about data centers isn’t separate from the industry’s trajectory; it’s becoming part of it. Public perception, regulatory scrutiny, and investor expectations are now shaped by how stories are told as much as by how facilities are built. That context sets the stage for the conversation’s core theme. Execution Defines 2026 After

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Utah’s 4 GW AI Campus Tests the Limits of Speed-to-Power

Back in September 2025, we examined an ambitious proposal from infrastructure developer Joule Capital Partners – often branding the effort as “Joule Power” – in partnership with Caterpillar. The concept is straightforward but consequential: acquire a vast rural tract in Millard County, Utah, and pair an AI-focused data center campus with large-scale, on-site “behind-the-meter” generation to bypass the interconnection queues, transmission constraints, and substation bottlenecks slowing projects nationwide. The appeal is clear: speed-to-power and greater control over delivery timelines. But that speed shifts the project’s risk profile. Instead of navigating traditional utility procurement, the development begins to resemble a distributed power plant subject to industrial permitting, fuel supply logistics, air emissions scrutiny, noise controls, and groundwater governance. These are issues communities typically associate with generation facilities, not hyperscale data centers. Our earlier coverage focused on the technical and strategic logic of pairing compute with on-site generation. Now the story has evolved. Community opposition is emerging as a material variable that could influence schedule and scope. Although groundbreaking was held in November 2025, final site plans and key conditional use permits remain pending at the time of publication. What Is Actually Being Proposed? Public records from Millard County show Joule pursuing a zone change for approximately 4,000 acres (about 6.25 square miles), converting agricultural land near 11000 N McCornick Road to Heavy Industrial use. At a July 2025 public meeting, residents raised familiar concerns that surface when a rural landscape is targeted for hyperscale development: labor influx and housing strain, water use, traffic, dust and wildfire risk, wildlife disruption, and the broader loss of farmland and local character. What has proven less clear is the precise scale and sequencing of the buildout. Local reporting describes an initial phase of six data center buildings, each supported by a substantial fleet of Caterpillar

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From Lab to Gigawatt: CoreWeave’s ARENA and the AI Validation Imperative

The Production Readiness Gap AI teams continue to confront a familiar challenge: moving from experimentation to predictable production performance. Models that train successfully on small clusters or sandbox environments often behave very differently when deployed at scale. Performance characteristics shift. Data pipelines strain under sustained load. Cost assumptions unravel. Synthetic benchmarks and reduced test sets rarely capture the complex interactions between compute, storage, networking, and orchestration that define real-world AI systems. The result can be an expensive “Day One” surprise:  unexpected infrastructure costs, bottlenecks across distributed components, and delays that ripple across product timelines. CoreWeave’s view is that benchmarking and production launch can no longer be treated as separate phases. Instead, validation must occur in environments that replicate the architectural, operational, and economic realities of live deployment. ARENA is designed around that premise. The platform allows customers to run full workloads on CoreWeave’s production-grade GPU infrastructure, using standardized compute stacks, network configurations, data paths, and service integrations that mirror actual deployment environments. Rather than approximating production behavior, the goal is to observe it directly. Key capabilities include: Running real workloads on GPU clusters that match production configurations. Benchmarking both performance and cost under realistic operational conditions. Diagnosing bottlenecks and scaling behavior across compute, storage, and networking layers. Leveraging standardized observability tools and guided engineering support. CoreWeave positions ARENA as an alternative to traditional demo or sandbox environments; one informed by its own experience operating large-scale AI infrastructure. By validating workloads under production conditions early in the lifecycle, teams gain empirical insight into performance dynamics and cost curves before committing capital and operational resources. Why Production-Scale Validation Has Become Strategic The demand for environments like ARENA reflects how fundamentally AI workloads have changed. Several structural shifts are driving the need for production-scale validation: Continuous, Multi-Layered Workloads AI systems are no longer

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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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