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Inside a new quest to save the “doomsday glacier”

The Thwaites glacier is a fortress larger than Florida, a wall of ice that reaches nearly 4,000 feet above the bedrock of West Antarctica, guarding the low-lying ice sheet behind it. But a strong, warm ocean current is weakening its foundations and accelerating its slide into the Amundsen Sea. Scientists fear the waters could topple the walls in the coming decades, kick-starting a runaway process that would crack up the West Antarctic Ice Sheet. That would mark the start of a global climate disaster. The glacier itself holds enough ice to raise ocean levels by more than two feet, which could flood coastlines and force tens of millions of people living in low-lying areas to abandon their homes. The loss of the entire ice sheet—which could still take centuries to unfold—would push up sea levels by 11 feet and redraw the contours of the continents. This is why Thwaites is known as the doomsday glacier—and why scientists are eager to understand just how likely such a collapse is, when it could happen, and if we have the power to stop it.  Scientists at MIT and Dartmouth College founded Arête Glacier Initiative last year in the hope of providing clearer answers to these questions. The nonprofit research organization will officially unveil itself, launch its website, and post requests for research proposals today, March 21, timed to coincide with the UN’s inaugural World Day for Glaciers, MIT Technology Review can report exclusively.  Arête will also announce it is issuing its first grants, each for around $200,000 over two years, to a pair of glacier researchers at the University of Wisconsin-Madison.  One of the organization’s main goals is to study the possibility of preventing the loss of giant glaciers, Thwaites in particular, by refreezing them to the bedrock. It would represent a radical intervention into the natural world, requiring a massive, expensive engineering project in a remote, treacherous environment.  But the hope is that such a mega-adaptation project could minimize the mass relocation of climate refugees, prevent much of the suffering and violence that would almost certainly accompany it, and help nations preserve trillions of dollars invested in high-rises, roads, homes, ports, and airports around the globe. “About a million people are displaced per centimeter of sea-level rise,” says Brent Minchew, an associate professor of geophysics at MIT, who cofounded Arête Glacier Initiative and will serve as its chief scientist. “If we’re able to bring that down, even by a few centimeters, then we would safeguard the homes of millions.” But some scientists believe the idea is an implausible, wildly expensive distraction, drawing money, expertise, time, and resources away from more essential polar research efforts.  “Sometimes we can get a little over-optimistic about what engineering can do,” says Twila Moon, deputy lead scientist at the National Snow and Ice Data Center at the University of Colorado Boulder. “Two possible futures” Minchew, who earned his PhD in geophysics at Caltech, says he was drawn to studying glaciers because they are rapidly transforming as the world warms, increasing the dangers of sea-level rise.  “But over the years, I became less content with simply telling a more dramatic story about how things were going and more open to asking the question of what can we do about it,” says Minchew, who will return to Caltech as a professor this summer. Last March, he cofounded Arête Glacier Initiative with Colin Meyer, an assistant professor of engineering at Dartmouth, in the hope of funding and directing research to improve scientific understanding of two big questions: How big a risk does sea-level rise pose in the coming decades, and can we minimize that risk? Brent Minchew, an MIT professor of geophysics, co-founded Arête Glacier Initiative and will serve as its chief scientist.COURTESY: BRENT MINCHEW “Philanthropic funding is needed to address both of these challenges, because there’s no private-sector funding for this kind of research and government funding is minuscule,” says Mike Schroepfer, the former Meta chief technology officer turned climate philanthropist, who provided funding to Arête through his new organization, Outlier Projects.  The nonprofit has now raised about $5 million from Outlier and other donors, including the Navigation Fund, the Kissick Family Foundation, the Sky Foundation, the Wedner Family Foundation, and the Grantham Foundation.  Minchew says they named the organization Arête, mainly because it’s the sharp mountain ridge between two valleys, generally left behind when a glacier carves out the cirques on either side. It directs the movement of the glacier and is shaped by it.  It’s meant to symbolize “two possible futures,” he says. “One where we do something; one where we do nothing.” Improving forecasts The somewhat reassuring news is that, even with rising global temperatures, it may still take thousands of years for the West Antarctic Ice Sheet to completely melt.  In addition, sea-level rise forecasts for this century generally range from as little as 0.28 meters (11 inches) to 1.10 meters (about three and a half feet), according to the latest UN climate panel report. The latter only occurs under a scenario with very high greenhouse gas emissions (SSP5-8.5), which significantly exceeds the pathway the world is now on. But there’s still a “low-likelihood” that ocean levels could surge nearly two meters (about six and a half feet) by 2100 that “cannot be excluded,” given “deep uncertainty linked to ice-sheet processes,” the report adds.  Two meters of sea-level rise could force nearly 190 million people to migrate away from the coasts, unless regions build dikes or other shoreline protections, according to some models. Many more people, mainly in the tropics, would face heightened flooding dangers. Much of the uncertainty over what will happen this century comes down to scientists’ limited understanding of how Antarctic ice sheets will respond to growing climate pressures. The initial goal of Arête Glacier Initiative is to help narrow the forecast ranges by improving our grasp of how Thwaites and other glaciers move, melt, and break apart. Gravity is the driving force nudging glaciers along the bedrock and reshaping them as they flow. But many of the variables that determine how fast they slide lie at the base. That includes the type of sediment the river of ice slides along; the size of the boulders and outcroppings it contorts around; and the warmth and strength of the ocean waters that lap at its face. In addition, heat rising from deep in the earth warms the ice closest to the ground, creating a lubricating layer of water that hastens the glacier’s slide. That acceleration, in turn, generates more frictional heat that melts still more of the ice, creating a self-reinforcing feedback effect. Minchew and Meyer are confident that the glaciology field is at a point where it could speed up progress in sea-level rise forecasting, thanks largely to improving observational tools that are producing more and better data. That includes a new generation of satellites orbiting the planet that can track the shifting shape of ice at the poles at far higher resolutions than in the recent past. Computer simulations of ice sheets, glaciers and sea ice are improving as well, thanks to growing computational resources and advancing machine learning techniques. On March 21, Arête will issue a request for proposals from research teams to contribute to an effort to collect, organize, and openly publish existing observational glacier data. Much of that expensively gathered information is currently inaccessible to researchers around the world, Minchew says. Colin Meyer, an assistant professor of engineering at Dartmouth, co-founded Arête Glacier Initiative. By funding teams working across these areas, Arête’s founders hope to help produce more refined ice-sheet models and narrower projections of sea-level rise. This improved understanding would help cities plan where to build new bridges, buildings, and homes, and to determine whether they’ll need to erect higher seawalls or raise their roads, Meyer says. It could also provide communities with more advance notice of the coming dangers, allowing them to relocate people and infrastructure to safer places through an organized process known as managed retreat. A radical intervention But the improved forecasts might also tell us that Thwaites is closer to tumbling into the ocean than we think, underscoring the importance of considering more drastic measures. One idea is to build berms or artificial islands to prop up fragile parts of glaciers, and to block the warm waters that rise from the deep ocean and melt them from below. Some researchers have also considered erecting giant, flexible curtains anchored to the seabed to achieve the latter effect. Others have looked at scattering highly reflective beads or other materials across ice sheets, or pumping ocean water onto them in the hopes it would freeze during the winter and reinforce the headwalls of the glaciers. But the concept of refreezing glaciers in place, know as a basal intervention, is gaining traction in scientific circles, in part because there’s a natural analogue for it. The glacier that stalled About 200 years ago, the Kamb Ice Stream, another glacier in West Antarctica that had been sliding about 350 meters (1,150 feet) per year, suddenly stalled. Glaciologists believe an adjacent ice stream intersected with the catchment area under the glacier, providing a path for the water running below it to flow out along the edge instead. That loss of fluid likely slowed down the Kamb Ice Stream, reduced the heat produced through friction, and allowed water at the surface to refreeze. The deceleration of the glacier sparked the idea that humans might be able to bring about that same phenomenon deliberately, perhaps by drilling a series of boreholes down to the bedrock and pumping up water from the bottom. Minchew himself has focused on a variation he believes could avoid much of the power use and heavy operating machinery hassles of that approach: slipping long tubular devices, known as thermosyphons, down nearly to the bottom of the boreholes.  These passive heat exchangers, which are powered only by the temperature differential between two areas, are commonly used to keep permafrost cold around homes, buildings and pipelines in Arctic regions. The hope is that we could deploy extremely long ones, stretching up to two kilometers and encased in steel pipe, to draw warm temperatures away from the bottom of the glacier, allowing the water below to freeze. Minchew says he’s in the process of producing refined calculations, but estimates that halting Thwaites could require drilling as many as 10,000 boreholes over a 100-square-kilometer area. He readily acknowledges that would be a huge undertaking, but provides two points of comparison to put such a project into context: Melting the necessary ice to create those holes would require roughly the amount of energy all US domestic flights consume from jet fuel in about two and a half hours. Or, it would produce about the same level of greenhouse gas emissions as constructing 10 kilometers of seawalls, a small fraction of the length the world would need to build if it can’t slow down the collapse of the ice sheets, he says. “Kick the system” One of Arête’s initial grantees is Marianne Haseloff, an assistant professor of geoscience at the University of Wisconsin-Madison. She studies the physical processes that govern the behavior of glaciers and is striving to more faithfully represent them in ice sheet models.  Haseloff says she will use those funds to develop mathematical methods that could more accurately determine what’s known as basal shear stress, or the resistance of the bed to sliding glaciers, based on satellite observations. That could help refine forecasts of how rapidly glaciers will slide into the ocean, in varying settings and climate conditions. Arête’s other initial grant will go to Lucas Zoet, an associate professor in the same department as Haseloff and the principal investigator with the Surface Processes group. He intends to use the funds to build the lab’s second “ring shear” device, the technical term for a simulated glacier. The existing device, which is the only one operating in the world, stands about eight feet tall and fills the better part of a walk-in freezer on campus. The core of the machine is a transparent drum filled with a ring of ice, sitting under pressure and atop a layer of sediment. It slowly spins for weeks at a time as sensors and cameras capture how the ice and earth move and deform. Lucas Zoet, an associate professor at the University of Wisconsin–Madison, stands in front of his lab’s “ring shear” device, a simulated glacier.ETHAN PARRISH The research team can select the sediment, topography, water pressure, temperature, and other conditions to match the environment of a real-world glacier of interest, be it Thwaites today—or Thwaites in 2100, under a high greenhouse gas emissions scenario.  Zoet says these experiments promise to improve our understanding of how glaciers move over different types of beds, and to refine an equation known as the slip law, which represents these glacier dynamics mathematically in computer models. The second machine will enable them to run more experiments and to conduct a specific kind that the current device can’t: a scaled-down, controlled version of the basal intervention. Zoet says the team will be able to drill tiny holes through the ice, then pump out water or transfer heat away from the bed. They can then observe whether the simulated glacier freezes to the base at those points and experiment with how many interventions, across how much space, are required to slow down its movement. It offers a way to test out different varieties of the basal intervention that is far easier and cheaper than using water drills to bore to the bottom of an actual glacier in Antarctica, Zoet says. The funding will allow the lab to explore a wide range of experiments, enabling them to “kick the system in a way we wouldn’t have before,” he adds. “Virtually impossible” The concept of glacier interventions is in its infancy. There are still considerable unknowns and uncertainties, including how much it would cost, how arduous the undertaking would be, and which approach would be most likely to work, or if any of them are feasible. “This is mostly a theoretical idea at this point,” says Katharine Ricke, an associate professor at the University of California, San Diego, who researches the international relations implications of geoengineering, among other topics. Conducting extensive field trials or moving forward with full-scale interventions may also require surmounting complex legal questions, she says. Antarctica isn’t owned by any nation, but it’s the subject of competing territorial claims among a number of countries and governed under a decades-old treaty to which dozens are a party. The basal intervention—refreezing the glacier to its bed—faces numerous technical hurdles that would make it “virtually impossible to execute,” Moon and dozens of other researchers argued in a recent preprint paper, “Safeguarding the polar regions from dangerous geoengineering.” Among other critiques, they stress that subglacial water systems are complex, dynamic, and interconnected, making it highly difficult to precisely identify and drill down to all the points that would be necessary to remove enough water or add enough heat to substantially slow down a massive glacier. Further, they argue that the interventions could harm polar ecosystems by adding contaminants, producing greenhouse gases, or altering the structure of the ice in ways that may even increase sea-level rise. “Overwhelmingly, glacial and polar geoengineering ideas do not make sense to pursue, in terms of the finances, the governance challenges, the impacts,” and the possibility of making matters worse, Moon says. “No easy path forward” But Douglas MacAyeal, professor emeritus of glaciology at the University of Chicago, says the basal intervention would have the lightest environmental impact among the competing ideas. He adds that nature has already provided an example of it working, and that much of the needed drilling and pumping technology is already in use in the oil industry. “I would say it’s the strongest approach at the starting gate,” he says, “but we don’t really know anything about it yet. The research still has to be done. It’s very cutting-edge.” Minchew readily acknowledges that there are big challenges and significant unknowns—and that some of these ideas may not work. But he says it’s well worth the effort to study the possibilities, in part because much of the research will also improve our understanding of glacier dynamics and the risks of sea-level rise—and in part because it’s only a question of when, not if, Thwaites will collapse. Even if the world somehow halted all greenhouse gas emissions tomorrow, the forces melting that fortress of ice will continue to do so.  So one way or another, the world will eventually need to make big, expensive, difficult interventions to protect people and infrastructure. The cost and effort of doing one project in Antarctica, he says, would be small compared to the global effort required to erect thousands of miles of seawalls, ratchet up homes, buildings, and roads, and relocate hundreds of millions of people. “One thing is challenging—and the other is even more challenging,” Minchew says. “There’s no easy path forward.”

The Thwaites glacier is a fortress larger than Florida, a wall of ice that reaches nearly 4,000 feet above the bedrock of West Antarctica, guarding the low-lying ice sheet behind it.

But a strong, warm ocean current is weakening its foundations and accelerating its slide into the Amundsen Sea. Scientists fear the waters could topple the walls in the coming decades, kick-starting a runaway process that would crack up the West Antarctic Ice Sheet.

That would mark the start of a global climate disaster. The glacier itself holds enough ice to raise ocean levels by more than two feet, which could flood coastlines and force tens of millions of people living in low-lying areas to abandon their homes.

The loss of the entire ice sheet—which could still take centuries to unfold—would push up sea levels by 11 feet and redraw the contours of the continents.

This is why Thwaites is known as the doomsday glacier—and why scientists are eager to understand just how likely such a collapse is, when it could happen, and if we have the power to stop it. 

Scientists at MIT and Dartmouth College founded Arête Glacier Initiative last year in the hope of providing clearer answers to these questions. The nonprofit research organization will officially unveil itself, launch its website, and post requests for research proposals today, March 21, timed to coincide with the UN’s inaugural World Day for Glaciers, MIT Technology Review can report exclusively. 

Arête will also announce it is issuing its first grants, each for around $200,000 over two years, to a pair of glacier researchers at the University of Wisconsin-Madison. 

One of the organization’s main goals is to study the possibility of preventing the loss of giant glaciers, Thwaites in particular, by refreezing them to the bedrock. It would represent a radical intervention into the natural world, requiring a massive, expensive engineering project in a remote, treacherous environment. 

But the hope is that such a mega-adaptation project could minimize the mass relocation of climate refugees, prevent much of the suffering and violence that would almost certainly accompany it, and help nations preserve trillions of dollars invested in high-rises, roads, homes, ports, and airports around the globe.

“About a million people are displaced per centimeter of sea-level rise,” says Brent Minchew, an associate professor of geophysics at MIT, who cofounded Arête Glacier Initiative and will serve as its chief scientist. “If we’re able to bring that down, even by a few centimeters, then we would safeguard the homes of millions.”

But some scientists believe the idea is an implausible, wildly expensive distraction, drawing money, expertise, time, and resources away from more essential polar research efforts. 

“Sometimes we can get a little over-optimistic about what engineering can do,” says Twila Moon, deputy lead scientist at the National Snow and Ice Data Center at the University of Colorado Boulder.

“Two possible futures”

Minchew, who earned his PhD in geophysics at Caltech, says he was drawn to studying glaciers because they are rapidly transforming as the world warms, increasing the dangers of sea-level rise. 

“But over the years, I became less content with simply telling a more dramatic story about how things were going and more open to asking the question of what can we do about it,” says Minchew, who will return to Caltech as a professor this summer.

Last March, he cofounded Arête Glacier Initiative with Colin Meyer, an assistant professor of engineering at Dartmouth, in the hope of funding and directing research to improve scientific understanding of two big questions: How big a risk does sea-level rise pose in the coming decades, and can we minimize that risk?

Brent Minchew, an MIT professor of geophysics, co-founded Arête Glacier Initiative and will serve as its chief scientist.
COURTESY: BRENT MINCHEW

“Philanthropic funding is needed to address both of these challenges, because there’s no private-sector funding for this kind of research and government funding is minuscule,” says Mike Schroepfer, the former Meta chief technology officer turned climate philanthropist, who provided funding to Arête through his new organization, Outlier Projects

The nonprofit has now raised about $5 million from Outlier and other donors, including the Navigation Fund, the Kissick Family Foundation, the Sky Foundation, the Wedner Family Foundation, and the Grantham Foundation. 

Minchew says they named the organization Arête, mainly because it’s the sharp mountain ridge between two valleys, generally left behind when a glacier carves out the cirques on either side. It directs the movement of the glacier and is shaped by it. 

It’s meant to symbolize “two possible futures,” he says. “One where we do something; one where we do nothing.”

Improving forecasts

The somewhat reassuring news is that, even with rising global temperatures, it may still take thousands of years for the West Antarctic Ice Sheet to completely melt. 

In addition, sea-level rise forecasts for this century generally range from as little as 0.28 meters (11 inches) to 1.10 meters (about three and a half feet), according to the latest UN climate panel report. The latter only occurs under a scenario with very high greenhouse gas emissions (SSP5-8.5), which significantly exceeds the pathway the world is now on.

But there’s still a “low-likelihood” that ocean levels could surge nearly two meters (about six and a half feet) by 2100 that “cannot be excluded,” given “deep uncertainty linked to ice-sheet processes,” the report adds. 

Two meters of sea-level rise could force nearly 190 million people to migrate away from the coasts, unless regions build dikes or other shoreline protections, according to some models. Many more people, mainly in the tropics, would face heightened flooding dangers.

Much of the uncertainty over what will happen this century comes down to scientists’ limited understanding of how Antarctic ice sheets will respond to growing climate pressures.

The initial goal of Arête Glacier Initiative is to help narrow the forecast ranges by improving our grasp of how Thwaites and other glaciers move, melt, and break apart.

Gravity is the driving force nudging glaciers along the bedrock and reshaping them as they flow. But many of the variables that determine how fast they slide lie at the base. That includes the type of sediment the river of ice slides along; the size of the boulders and outcroppings it contorts around; and the warmth and strength of the ocean waters that lap at its face.

In addition, heat rising from deep in the earth warms the ice closest to the ground, creating a lubricating layer of water that hastens the glacier’s slide. That acceleration, in turn, generates more frictional heat that melts still more of the ice, creating a self-reinforcing feedback effect.

Minchew and Meyer are confident that the glaciology field is at a point where it could speed up progress in sea-level rise forecasting, thanks largely to improving observational tools that are producing more and better data.

That includes a new generation of satellites orbiting the planet that can track the shifting shape of ice at the poles at far higher resolutions than in the recent past. Computer simulations of ice sheets, glaciers and sea ice are improving as well, thanks to growing computational resources and advancing machine learning techniques.

On March 21, Arête will issue a request for proposals from research teams to contribute to an effort to collect, organize, and openly publish existing observational glacier data. Much of that expensively gathered information is currently inaccessible to researchers around the world, Minchew says.

Colin Meyer, an assistant professor of engineering at Dartmouth, co-founded Arête Glacier Initiative.

By funding teams working across these areas, Arête’s founders hope to help produce more refined ice-sheet models and narrower projections of sea-level rise.

This improved understanding would help cities plan where to build new bridges, buildings, and homes, and to determine whether they’ll need to erect higher seawalls or raise their roads, Meyer says. It could also provide communities with more advance notice of the coming dangers, allowing them to relocate people and infrastructure to safer places through an organized process known as managed retreat.

A radical intervention

But the improved forecasts might also tell us that Thwaites is closer to tumbling into the ocean than we think, underscoring the importance of considering more drastic measures.

One idea is to build berms or artificial islands to prop up fragile parts of glaciers, and to block the warm waters that rise from the deep ocean and melt them from below. Some researchers have also considered erecting giant, flexible curtains anchored to the seabed to achieve the latter effect.

Others have looked at scattering highly reflective beads or other materials across ice sheets, or pumping ocean water onto them in the hopes it would freeze during the winter and reinforce the headwalls of the glaciers.

But the concept of refreezing glaciers in place, know as a basal intervention, is gaining traction in scientific circles, in part because there’s a natural analogue for it.

The glacier that stalled

About 200 years ago, the Kamb Ice Stream, another glacier in West Antarctica that had been sliding about 350 meters (1,150 feet) per year, suddenly stalled.

Glaciologists believe an adjacent ice stream intersected with the catchment area under the glacier, providing a path for the water running below it to flow out along the edge instead. That loss of fluid likely slowed down the Kamb Ice Stream, reduced the heat produced through friction, and allowed water at the surface to refreeze.

The deceleration of the glacier sparked the idea that humans might be able to bring about that same phenomenon deliberately, perhaps by drilling a series of boreholes down to the bedrock and pumping up water from the bottom.

Minchew himself has focused on a variation he believes could avoid much of the power use and heavy operating machinery hassles of that approach: slipping long tubular devices, known as thermosyphons, down nearly to the bottom of the boreholes. 

These passive heat exchangers, which are powered only by the temperature differential between two areas, are commonly used to keep permafrost cold around homes, buildings and pipelines in Arctic regions. The hope is that we could deploy extremely long ones, stretching up to two kilometers and encased in steel pipe, to draw warm temperatures away from the bottom of the glacier, allowing the water below to freeze.

Minchew says he’s in the process of producing refined calculations, but estimates that halting Thwaites could require drilling as many as 10,000 boreholes over a 100-square-kilometer area.

He readily acknowledges that would be a huge undertaking, but provides two points of comparison to put such a project into context: Melting the necessary ice to create those holes would require roughly the amount of energy all US domestic flights consume from jet fuel in about two and a half hours. Or, it would produce about the same level of greenhouse gas emissions as constructing 10 kilometers of seawalls, a small fraction of the length the world would need to build if it can’t slow down the collapse of the ice sheets, he says.

“Kick the system”

One of Arête’s initial grantees is Marianne Haseloff, an assistant professor of geoscience at the University of Wisconsin-Madison. She studies the physical processes that govern the behavior of glaciers and is striving to more faithfully represent them in ice sheet models. 

Haseloff says she will use those funds to develop mathematical methods that could more accurately determine what’s known as basal shear stress, or the resistance of the bed to sliding glaciers, based on satellite observations. That could help refine forecasts of how rapidly glaciers will slide into the ocean, in varying settings and climate conditions.

Arête’s other initial grant will go to Lucas Zoet, an associate professor in the same department as Haseloff and the principal investigator with the Surface Processes group.

He intends to use the funds to build the lab’s second “ring shear” device, the technical term for a simulated glacier.

The existing device, which is the only one operating in the world, stands about eight feet tall and fills the better part of a walk-in freezer on campus. The core of the machine is a transparent drum filled with a ring of ice, sitting under pressure and atop a layer of sediment. It slowly spins for weeks at a time as sensors and cameras capture how the ice and earth move and deform.

Lucas Zoet, an associate professor at the University of Wisconsin–Madison, stands in front of his lab’s “ring shear” device, a simulated glacier.
ETHAN PARRISH

The research team can select the sediment, topography, water pressure, temperature, and other conditions to match the environment of a real-world glacier of interest, be it Thwaites today—or Thwaites in 2100, under a high greenhouse gas emissions scenario. 

Zoet says these experiments promise to improve our understanding of how glaciers move over different types of beds, and to refine an equation known as the slip law, which represents these glacier dynamics mathematically in computer models.

The second machine will enable them to run more experiments and to conduct a specific kind that the current device can’t: a scaled-down, controlled version of the basal intervention.

Zoet says the team will be able to drill tiny holes through the ice, then pump out water or transfer heat away from the bed. They can then observe whether the simulated glacier freezes to the base at those points and experiment with how many interventions, across how much space, are required to slow down its movement.

It offers a way to test out different varieties of the basal intervention that is far easier and cheaper than using water drills to bore to the bottom of an actual glacier in Antarctica, Zoet says. The funding will allow the lab to explore a wide range of experiments, enabling them to “kick the system in a way we wouldn’t have before,” he adds.

“Virtually impossible”

The concept of glacier interventions is in its infancy. There are still considerable unknowns and uncertainties, including how much it would cost, how arduous the undertaking would be, and which approach would be most likely to work, or if any of them are feasible.

“This is mostly a theoretical idea at this point,” says Katharine Ricke, an associate professor at the University of California, San Diego, who researches the international relations implications of geoengineering, among other topics.

Conducting extensive field trials or moving forward with full-scale interventions may also require surmounting complex legal questions, she says. Antarctica isn’t owned by any nation, but it’s the subject of competing territorial claims among a number of countries and governed under a decades-old treaty to which dozens are a party.

The basal intervention—refreezing the glacier to its bed—faces numerous technical hurdles that would make it “virtually impossible to execute,” Moon and dozens of other researchers argued in a recent preprint paper, “Safeguarding the polar regions from dangerous geoengineering.”

Among other critiques, they stress that subglacial water systems are complex, dynamic, and interconnected, making it highly difficult to precisely identify and drill down to all the points that would be necessary to remove enough water or add enough heat to substantially slow down a massive glacier.

Further, they argue that the interventions could harm polar ecosystems by adding contaminants, producing greenhouse gases, or altering the structure of the ice in ways that may even increase sea-level rise.

“Overwhelmingly, glacial and polar geoengineering ideas do not make sense to pursue, in terms of the finances, the governance challenges, the impacts,” and the possibility of making matters worse, Moon says.

“No easy path forward”

But Douglas MacAyeal, professor emeritus of glaciology at the University of Chicago, says the basal intervention would have the lightest environmental impact among the competing ideas. He adds that nature has already provided an example of it working, and that much of the needed drilling and pumping technology is already in use in the oil industry.

“I would say it’s the strongest approach at the starting gate,” he says, “but we don’t really know anything about it yet. The research still has to be done. It’s very cutting-edge.”

Minchew readily acknowledges that there are big challenges and significant unknowns—and that some of these ideas may not work.

But he says it’s well worth the effort to study the possibilities, in part because much of the research will also improve our understanding of glacier dynamics and the risks of sea-level rise—and in part because it’s only a question of when, not if, Thwaites will collapse.

Even if the world somehow halted all greenhouse gas emissions tomorrow, the forces melting that fortress of ice will continue to do so. 

So one way or another, the world will eventually need to make big, expensive, difficult interventions to protect people and infrastructure. The cost and effort of doing one project in Antarctica, he says, would be small compared to the global effort required to erect thousands of miles of seawalls, ratchet up homes, buildings, and roads, and relocate hundreds of millions of people.

“One thing is challenging—and the other is even more challenging,” Minchew says. “There’s no easy path forward.”

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Sasol Chief Exec Sees Chem Business Potentially Listing by 2028

Sasol Ltd. Chief Executive Officer Simon Baloyi said the South African company may spin off its international chemicals business as soon as 2028, depending on how quickly profit grows. Shares of the fuel and chemicals firm have gained about 47% this year — heading for its best performance since 2021 — as Baloyi, who became CEO last year, focuses on increasing output from the Secunda manufacturing hub in South Africa and turning around the international chemicals division ahead of a potential listing. That part of the company includes the $12.8 billion sprawling Lake Charles complex in Louisiana.  A listing could happen as early as 2028 or 2029, given efforts to strengthen the unit, Baloyi said in an interview at Bloomberg’s Johannesburg office on Thursday. It could be listed “once we have a resilient business that can withstand any cycle that comes its way,” and once earnings before interest, taxes, depreciation and amortization near the $800 million-to-$1 billion range, he said. Another factor that will affect the decision is reducing debt. The chemicals unit’s Ebitda has improved to around $400 million, though the market remains tough, the CEO said. Major oil producers recently said a downturn in the chemicals sector is showing little sign of easing, amid a surge in Chinese supplies and lackluster demand. A turnaround of the business would be a major achievement for Sasol. The Lake Charles chemicals project was originally designed to expand the company’s operational footprint abroad, but suffered from mismanagement issues, hurricanes and billions of dollars in cost overruns that ballooned debt. In 2020, the year the project reached completion, Sasol sold a $2 billion stake in the US based-chemicals business to form a joint venture with LyondellBasell Industries NV to cut debt. It also accelerated an asset-sale program that wrapped up the following year. Sasol could make “disciplined” investments to upgrade

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Oil Slides on Peace Deal Pressure

Oil fell as traders assessed the prospect of a Ukraine-Russia peace deal that would add supply to a saturated market, with reports emerging that the US threatened to stop supporting Kyiv unless it agrees to a pact that favors Moscow. The newly-active January West Texas Intermediate contract fell about 1.6% to settle near $58 a barrel, its fourth day down out of five. Prices pared some losses after President Donald Trump said he would not remove sanctions on Russia as talks continue. Curbs on the country’s two largest oil producers went into effect on Friday. Despite those sanctions taking hold without delay and Ukraine’s top European allies rejecting key parts of the US-Russian peace plan, markets are preparing for a deal, said Gregory Brew, a geopolitical analyst at the Eurasia Group. “The market is pricing in this peace plan, which appears to have more US energy behind it than was apparent earlier in this week,” Brew said. Trump, speaking on Fox News Radio, said he thinks Thursday is “an appropriate” deadline for Ukraine to agree to the US-proposed peace plan with Russia. Even if the pressure campaign doesn’t yield a pact, traders remain skeptical of concrete impacts from the sanctions, Brew said. Trump’s changing tone has underscored that perception, said Rebecca Babin, a senior energy trader at CIBC Private Wealth Group. “Regardless of whether a deal is ultimately reached, confidence in strict sanctions enforcement is fading,” Babin said. “As a result, shorts are adding to positions, betting that even without a deal, the rhetoric suggests Trump may be stepping back from actions that would materially impact crude and product flows.” Trend-following commodity trading advisers went completely short on WTI and Brent on Friday for the first time since May, according to data from Bridgeton Research Group. If there is progress

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Reliance Stops Using Russian Oil in Part of Jamnagar

India’s Reliance Industries Ltd. said it would stop processing Russian oil at part of its giant Jamnagar oil refinery as US sanctions force the company to shy away from dealings with Moscow. The export-focused part of the refinery, which accounts for about half of its 1.4 million barrels a day of capacity, took its last shipment of Russian crude on Thursday, the company said in statement.  The move would mean the site could keep supplying fuel to Europe when new sanctions banning the import of petroleum made from Russian crude come into effect early next year. It will also demonstrate compliance with a US effort to force processors away from Russian barrels.  Reliance isn’t currently buying Russian oil and hasn’t taken a view yet on whether it will resume doing so, a person with knowledge of the matter said, asking not to be identified because the information isn’t public. Together, the two sites at Jamnagar make it the world’s biggest oil refinery. Still, the company said in a statement that some purchases bought before the US put sanctions on Russia’s two largest oil companies would discharge at another part of the Jamnagar facility that supplies the domestic market, it added. The US announcement of sanctions on Lukoil PJSC and Rosneft PJSC last month sent shockwaves through Asian oil buyers, as it meant a swath of Russia’s flows are pumped by blacklisted firms. Processors in India and China had snapped up cheap Russian barrels in the aftermath of the war in Ukraine, denting the impact of rampant global inflation in 2022.  A deadline to wind down deals with the duo is set to pass on Friday, putting pressure on the companies and countries that had continued to buy barrels from Moscow after Russia invaded Ukraine. While Indian refiners have been booking

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DOE Seeks Input on Gas Turbine Manufacturing to Increase Domestic Energy Production

WASHINGTON — The U.S. Department of Energy’s (DOE) Hydrocarbons and Geothermal Energy Office (HGEO) today issued a request for information (RFI) focused on evaluating challenges faced by U.S. manufacturers that currently constrain gas turbine production capacity. Natural gas turbines offer several benefits for domestic electricity generation, including high operational flexibility, efficiencies, and reliability. DOE will use stakeholder feedback to inform effective research and development that can increase the pace of manufacturing these crucial energy generating technologies. This effort supports President Trump’s commitment to boost production of our domestic energy resources to ensure affordable and reliable energy for all Americans and protect our national and economic security. According to the U.S. Energy Information Administration, electricity demand, which remained relatively flat for the last two decades, is now expected to grow at an average rate of 1.7% per year in the short-term forecast and to exceed 6,000 terawatt-hours by 2050, a 50% increase from 2024 levels. Such demand—due in part to rapid growth in data centers and artificial intelligence, reshoring of American manufacturing, and increased electrification in building operations, transportation, and industry—will strain equipment supply chains, especially gas turbines, which provide more than 40% of electricity in the United States. Further, with the recent spike in electricity demand, the delivery wait time for gas turbines has doubled from two to three years to as many as seven years, resulting in price increases due to the limited supply. Such long lead times and high prices threaten to constrain the effective supply of electricity to meet demand.  To assist DOE in evaluating the gaps that constrain the production capacity of U.S. manufacturers of gas turbines, DOE is seeking input from interested parties in the categories of manufacturing technology, workforce, sub-suppliers, and materials. To review the RFI, please click here. Responses must be submitted electronically to [email protected], with the subject line “U.S.

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Lukoil Dissolves International Board

Russian energy giant Lukoil PJSC dissolved the supervisory board of its international business, the latest sign of how US sanctions — the first of which begin on Friday — are affecting the firm. As part of the dissolution, the Moscow-based firm “recalled” Sergei Kochkurov, chief executive officer of the parent company, as well as Evgeny Khavkin and Gennady Fedotov. The step, taken during an Oct. 28 board meeting, was posted by Lukoil International GmbH on Austria’s corporate register on Friday.  The US Treasury’s Office of Foreign Assets Control announced on Oct. 22 that it was sanctioning Lukoil and fellow Russian giant Rosneft PJSC. The measures start today although some actions against Lukoil assets have been delayed until Dec. 13. The move stressed the firm globally: Russian oil prices plunged, its international trading business Litasco has shed staff and wound up at least some operations. Lukoil’s share of revenue from the West Qurna 2 oil field in Iraq has been frozen by Baghdad and western suitors are circling the firm’s global assets. The decision to dissolve the board and recall Lukoil International’s overseers will leave the company’s managing director Alexander Matytsyn in charge. The company is still fully owned by Lukoil. On Wednesday, the Vienna-based unit also published its fully audited group report for 2022 — taking about two years longer than normal to do so. The move offered a first detailed view of how the company fared in the first year of Russia’s invasion of Ukraine. According to those accounts, completed by KPMG on Oct. 9 this year, Lukoil International booked €95 billion of revenue and a net income of €7.8 billion in 2022 — a period that reflected the height of the European energy crisis. Some of the world’s largest energy companies, including Exxon Mobil Corp., Chevron Corp. and

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Texas loan fund tops 3.5 GW of gas capacity secured with latest NRG deal

NRG Energy will develop a 455-MW gas plant near Houston, backed by a low-interest loan from the state of Texas, the company said Thursday. It is the sixth loan finalized through the Texas Energy Fund program for the Electric Reliability Council of Texas market. Voters authorized the fund in 2023. The new generation will be built at NRG’s existing Greens Bayou Generating Station in Harris County, and is expected online in 2028. New generation backed by the Texas Energy Fund, across six projects, now exceeds more than 3.5 GW, said officials at the Public Utility Commission of Texas, which manages the program. The Lone Star State is experiencing “unprecedented growth,” NRG Executive Vice President, President of NRG Business and Wholesale Operations Robert Gaudette, said in a statement. Greens Bayou is NRG’s third project to receive support from the loan fund, marking about 1.5 GW of total capacity and up to $1.15 billion in low-interest loans. Under the loan agreement for Greens Bayou, total project costs are estimated to be less than $617 million and the PUCT will provide a 20-year loan up to $370 million, or 60% of total cost, at a 3% interest rate. In August, the PUCT tapped NRG for a TEF loan up to $216 million to develop two gas units totaling 456 MW of capacity at its existing TH Wharton Generating Station in Houston. And in September the company was selected for a loan of $562 million to develop a 721-MW gas plant near Baytown. There are another 11 Texas Energy Fund applications moving through a due diligence review process, said state officials, representing another 5.4 GW of possible new capacity in the ERCOT footprint.

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Microsoft’s Fairwater Atlanta and the Rise of the Distributed AI Supercomputer

Microsoft’s second Fairwater data center in Atlanta isn’t just “another big GPU shed.” It represents the other half of a deliberate architectural experiment: proving that two massive AI campuses, separated by roughly 700 miles, can operate as one coherent, distributed supercomputer. The Atlanta installation is the latest expression of Microsoft’s AI-first data center design: purpose-built for training and serving frontier models rather than supporting mixed cloud workloads. It links directly to the original Fairwater campus in Wisconsin, as well as to earlier generations of Azure AI supercomputers, through a dedicated AI WAN backbone that Microsoft describes as the foundation of a “planet-scale AI superfactory.” Inside a Fairwater Site: Preparing for Multi-Site Distribution Efficient multi-site training only works if each individual site behaves as a clean, well-structured unit. Microsoft’s intra-site design is deliberately simplified so that cross-site coordination has a predictable abstraction boundary—essential for treating multiple campuses as one distributed AI system. Each Fairwater installation presents itself as a single, flat, high-regularity cluster: Up to 72 NVIDIA Blackwell GPUs per rack, using GB200 NVL72 rack-scale systems. NVLink provides the ultra-low-latency, high-bandwidth scale-up fabric within the rack, while the Spectrum-X Ethernet stack handles scale-out. Each rack delivers roughly 1.8 TB/s of GPU-to-GPU bandwidth and exposes a multi-terabyte pooled memory space addressable via NVLink—critical for large-model sharding, activation checkpointing, and parallelism strategies. Racks feed into a two-tier Ethernet scale-out network offering 800 Gbps GPU-to-GPU connectivity with very low hop counts, engineered to scale to hundreds of thousands of GPUs without encountering the classic port-count and topology constraints of traditional Clos fabrics. Microsoft confirms that the fabric relies heavily on: SONiC-based switching and a broad commodity Ethernet ecosystem to avoid vendor lock-in and accelerate architectural iteration. Custom network optimizations, such as packet trimming, packet spray, high-frequency telemetry, and advanced congestion-control mechanisms, to prevent collective

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Land & Expand: Hyperscale, AI Factory, Megascale

Land & Expand is Data Center Frontier’s periodic roundup of notable North American data center development activity, tracking the newest sites, land plays, retrofits, and hyperscale campus expansions shaping the industry’s build cycle. October delivered a steady cadence of announcements, with several megascale projects advancing from concept to commitment. The month was defined by continued momentum in OpenAI and Oracle’s Stargate initiative (now spanning multiple U.S. regions) as well as major new investments from Google, Meta, DataBank, and emerging AI cloud players accelerating high-density reuse strategies. The result is a clearer picture of how the next wave of AI-first infrastructure is taking shape across the country. Google Begins $4B West Memphis Hyperscale Buildout Google formally broke ground on its $4 billion hyperscale campus in West Memphis, Arkansas, marking the company’s first data center in the state and the anchor for a new Mid-South operational hub. The project spans just over 1,000 acres, with initial site preparation and utility coordination already underway. Google and Entergy Arkansas confirmed a 600 MW solar generation partnership, structured to add dedicated renewable supply to the regional grid. As part of the launch, Google announced a $25 million Energy Impact Fund for local community affordability programs and energy-resilience improvements—an unusually early community-benefit commitment for a first-phase hyperscale project. Cooling specifics have not yet been made public. Water sourcing—whether reclaimed, potable, or hybrid seasonal mode—remains under review, as the company finalizes environmental permits. Public filings reference a large-scale onsite water treatment facility, similar to Google’s deployments in The Dalles and Council Bluffs. Local governance documents show that prior to the October announcement, West Memphis approved a 30-year PILOT via Groot LLC (Google’s land assembly entity), with early filings referencing a typical placeholder of ~50 direct jobs. At launch, officials emphasized hundreds of full-time operations roles and thousands

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The New Digital Infrastructure Geography: Green Street’s David Guarino on AI Demand, Power Scarcity, and the Next Phase of Data Center Growth

As the global data center industry races through its most frenetic build cycle in history, one question continues to define the market’s mood: is this the peak of an AI-fueled supercycle, or the beginning of a structurally different era for digital infrastructure? For Green Street Managing Director and Head of Global Data Center and Tower Research David Guarino, the answer—based firmly on observable fundamentals—is increasingly clear. Demand remains blisteringly strong. Capital appetite is deepening. And the very definition of a “data center market” is shifting beneath the industry’s feet. In a wide-ranging discussion with Data Center Frontier, Guarino outlined why data centers continue to stand out in the commercial real estate landscape, how AI is reshaping underwriting and development models, why behind-the-meter power is quietly reorganizing the U.S. map, and what Green Street sees ahead for rents, REITs, and the next wave of hyperscale expansion. A ‘Safe’ Asset in an Uncertain CRE Landscape Among institutional investors, the post-COVID era was the moment data centers stepped decisively out of “niche” territory. Guarino notes that pandemic-era reliance on digital services crystallized a structural recognition: data centers deliver stable, predictable cash flows, anchored by the highest-credit tenants in global real estate. Hyperscalers today dominate new leasing and routinely sign 15-year (or longer) contracts, a duration largely unmatched across CRE categories. When compared with one-year apartment leases, five-year office leases, or mall anchor terms, the stability story becomes plain. “These are AAA-caliber companies signing the longest leases in the sector’s history,” Guarino said. “From a real estate point of view, that combination of tenant quality and lease duration continues to position the asset class as uniquely durable.” And development returns remain exceptional. Even without assuming endless AI growth, the math works: strong demand, rising rents, and high-credit tenants create unusually predictable performance relative to

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The Flexential Blueprint: New CEO Ryan Mallory on Power, AI, and Bending the Physics Curve

In a coordinated leadership transition this fall, Ryan Mallory has stepped into the role of CEO at Flexential, succeeding Chris Downie. The move, described as thoughtful and planned, signals not a shift in direction, but a reinforcement of the company’s core strategy, with a sharpened focus on the unprecedented opportunities presented by the artificial intelligence revolution. In an exclusive interview on the Data Center Frontier Show Podcast, Mallory outlined a confident vision for Flexential, positioning the company at the critical intersection of enterprise IT and next-generation AI infrastructure. “Flexential will continue to focus on being an industry and market leader in wholesale, multi-tenant, and interconnection capabilities,” Mallory stated, affirming the company’s foundational strengths. His central thesis is that the AI infrastructure boom is not a monolithic wave, but a multi-stage evolution where Flexential’s model is uniquely suited for the emerging “inference edge.” The AI Build Cycle: A Three-Act Play Mallory frames the AI infrastructure market as a three-stage process, each lasting roughly four years. We are currently at the tail end of Stage 1, which began with the ChatGPT explosion three years ago. This phase, characterized by a frantic rush for capacity, has led to elongated lead times for critical infrastructure like generators, switchgear, and GPUs. The capacity from this initial build-out is expected to come online between late 2025 and late 2026. Stage 2, beginning around 2026 and stretching to 2030, will see the next wave of builds, with significant capacity hitting the market in 2028-2029. “This stage will reveal the viability of AI and actual consumption models,” Mallory notes, adding that air-cooled infrastructure will still dominate during this period. Stage 3, looking ahead to the early 2030s, will focus on long-term scale, mirroring the evolution of the public cloud. For Mallory, the enduring nature of this build cycle—contrasted

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Centersquare Launches $1 Billion Expansion to Scale an AI-Ready North American Data Center Platform

A Platform Built for Both Colo and AI Density The combined Evoque–Cyxtera platform entered the market with hundreds of megawatts of installed capacity and a clear runway for expansion. That scale positioned Centersquare to offer both traditional enterprise colocation and the higher-density, AI-ready footprints increasingly demanded through 2024 and 2025. The addition of these ten facilities demonstrates that the consolidation strategy is gaining traction, giving the platform more owned capacity to densify and more regional optionality as AI deployment accelerates. What’s in the $1 Billion Package — and Why It Matters 1) Lease-to-Own Conversions in Boston & Minneapolis Centersquare’s decision to purchase two long-operated but previously leased sites in Boston and Minneapolis reduces long-term occupancy risk and gives the operator full capex control. Owning the buildings unlocks the ability to schedule power and cooling upgrades on Centersquare’s terms, accelerate retrofits for high-density AI aisles, deploy liquid-ready thermal topologies, and add incremental power blocks without navigating landlord approval cycles. This structural flexibility aligns directly with the platform’s “AI-era backbone” positioning. 2) Eight Additional Data Centers Across Six Metros The acquisitions broaden scale in fast-rising secondary markets—Tulsa, Nashville, Raleigh—while deepening Centersquare’s presence in Dallas and expanding its Canadian footprint in Toronto and Montréal. Dallas remains a core scaling hub, but Nashville and Raleigh are increasingly important for enterprises modernizing their stacks and deploying regional AI workloads at lower cost and with faster timelines than congested Tier-1 corridors. Tulsa provides a network-adjacent, cost-efficient option for disaster recovery, edge aggregation, and latency-tolerant compute. In Canada, Toronto and Montréal offer strong enterprise demand, attractive economics, and grid advantages—including Québec’s hydro-powered, low-carbon energy mix—that position them well for AI training spillover and inference workloads requiring reliable, competitively priced power. 3) Self-Funded With Cash on Hand In the current rate environment, funding the entire $1 billion package

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Fission Forward: Next-Gen Nuclear Power Developments for the AI Data Center Boom

Constellation proposes to begin with 1.5 GW of fast-tracked projects, including 800 MW of battery energy storage and 700 MW of new natural gas generation to address short-term reliability needs. The remaining 4.3 GW represents longer-term investment at the Calvert Cliffs Clean Energy Center: extending both units for an additional 20 years beyond their current 2034 and 2036 license expirations, implementing a 10% uprate that would add roughly 190 MW of output, and pursuing 2 GW of next-generation nuclear at the existing site. For Maryland, a state defined by a dense I-95 fiber corridor, accelerating data center buildout, and rising AI-driven load, the plan could be transformative. If Constellation moves from “option” to “program,” the company estimates that 70% of the state’s electricity supply could come from clean energy sources, positioning Maryland as a top-tier market for 24/7 carbon-free power. TerraPower’s Natrium SMR Clears a Key Federal Milestone On Oct. 23, the Nuclear Regulatory Commission issued the final environmental impact statement (FEIS) for TerraPower’s Natrium small modular reactor in Kemmerer, Wyoming. While not a construction permit, FEIS completion removes a major element of federal environmental risk and keeps the project on track for the next phase of NRC review. TerraPower and its subsidiary, US SFR Owner, LLC, originally submitted the construction permit application on March 28, 2024. Natrium is a sodium-cooled fast reactor producing roughly 345 MW of electric output, paired with a molten-salt thermal-storage system capable of boosting generation to about 500 MW during peak periods. The design combines firm baseload power with flexible, dispatchable capability, an attractive profile for hyperscalers evaluating 24/7 clean energy options in the western U.S. The project is part of the DOE’s Advanced Reactor Demonstration Program, intended to replace retiring coal capacity in PacifiCorp’s service territory while showcasing advanced fission technology. For operators planning multi-GW

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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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