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The poetry of data

Jane Muschenetz’s poems don’t look like the sonnets you remember studying in high school English. If anything, they’re more likely to call to mind your statistics class. Flip through the pages of her poetry chapbook Power Point and you’ll see charts, graphs, and citations galore. One poem visually documents maternal mortality rates and women’s unpaid domestic labor in such a way that the bar and pie graphs spell out the word “MOM.” Another tracks deaths from gun violence across the globe and is presented as a gun-shaped graph. Still others are written in more standard poetic form but include citations that reference documents put out by the US government, the United Nations, and news organizations. These poems are just a few of the many in Muschenetz’s latest book that wrestle with contemporary social issues using a combination of data-driven insights and the poetic form. The format is a unique one: The first time Hayley Mitchell Haugen, founding editor in chief of Muschenetz’s publisher Sheila-Na-Gig, saw the poems, she thought to herself, “I’ve never seen anything like this before.” Point Blank 13. “Incidents of firearm mortality per 100K population for high income global economies with populations over 10M,” Institute for Health Metrics Evaluation, United Nations. Graphics treatment by Ingo Muschenetz. 14. “Child and Teen Firearm Mortality in the US and Peer Countries,” per 100K population, KFF.org, July 2023; CDC. Detailed citations at technologyreview.com/Muschenetz.ORIGINALLY PUBLISHED BY WRITERS RESIST, WINTER 2023 While cold, hard numbers and poetry might seem antithetical at first blush, from Muschenetz’s perspective, the two couldn’t be a better fit. A former business consultant at Bain & Company who received her MBA at the Sloan School of Management, she released her first poetry book in her 40s, and she’s enjoyed uncovering what the artistic and scientific approaches to understanding the world have in common. “Even though it maybe feels unintuitive that poetry and science are interrelated, they both make connections that are not immediately obvious,” she says. “They test out theories; they take risks. There’s a lot of nonlinear thinking that happens in both.” Many of the poems in Power Point were inspired by watershed moments in global politics and culture, particularly ones that would shape the lives of women. From the partisan political theater on display at the confirmation hearing of US Supreme Court Justice Ketanji Brown Jackson to the passage of laws restricting women’s freedoms in Iran and Afghanistan, these events often left Muschenetz overwhelmed with frustration at the state of women’s rights today. But knowing that women’s emotions are so often dismissed, she looked for a way to turn those feelings into something that she hoped would be harder to write off than standard poetry while still evoking the openheartedness with which people tend to approach art. “I wanted something that listed just facts but expressed how angry I am,” she says. “I really wanted it to be fact-based. I wanted my sources to be publicly available and almost unassailable.” Her hope was that by repackaging these facts in the form of statistics-driven poetry, she might allow readers to receive the information in a new way—and get them thinking. From Ukraine to California Muschenetz’s childhood primed her to understand how global currents can shape an individual life from an early age. Born Yevgenia Leonidovna Veitzman to a Jewish family in the Ukrainian city of Lviv, Muschenetz says her family began trying to leave the country before she was born, hoping to escape the discrimination they faced under the Soviet government. But it wasn’t until she was 10 years old that the family was finally able to emigrate. When they were at last cleared to cross the border, they headed for San Diego, where she decided that Jane would be easier for Americans to pronounce than her given first name. (Ultimately, she would change her last name, too, when she married.) Muschenetz often felt out of place in her new home, even though she was surrounded by other immigrant kids whose parents had moved to California in search of a better life. In one way she was like many American teenage girls, though: She had a lot of feelings, especially about romantic relationships, whether real or imagined, and she often wrote poems about them.   At age 16, she began submitting her poetry to magazines and publishers, which brought her first taste of writerly rejection. “I was like, ‘Oh, well, I tried. Clearly this isn’t for me.’ Even though in my heart, since I was like four years old, I knew I was a writer and I loved literature,” she says.  Her parents were “completely horrified” about the prospect of her pursuing a career in writing, but they weren’t much more excited about what she eventually landed on instead: a degree in political science at UC San Diego. “The response was always ‘Poets get shot. Politicians get shot,’” she says.  She might not have been able to articulate it at age 18, but looking back, Muschenetz makes sense of the decision to study political science as driven by her desire to understand the global forces that caused her family to emigrate. “I wanted to know: How do we structure policy? Who makes these choices, and how can we change them and make them better?” she says. STACY KECK But the dream of writing was hard to let go of. By the time Muschenetz was a few years out of college, she’d applied for two different programs: an MFA in writing and the MBA program at Sloan. And though she didn’t get accepted to the MFA program, her time at Sloan ended up profoundly shaping the poetry she would write two decades later, giving her the statistical analysis and data interpretation skills that formed the backdrop for Power Point. Those were skills she sharpened even further in the years she spent working as a business consultant at Bain right after earning her MBA. “I don’t think the average joe could pull off [what she does in that book], because she knows how to present statistics well,” says Haugen. “She knows how to look at them analytically and offer them up in a way that a layperson can understand.” Muschenetz left the business world after four years at Bain to focus on parenting her two children, as well as serving in various volunteer capacities at their schools and with local community organizations. It wasn’t until the world shut down in 2020 with the onset of the covid-19 pandemic that she found herself getting back in touch with the creative impulses that had animated her previously. Those impulses manifested in part as visual art: Muschenetz began painting a menagerie of animals on the bases of palm fronds she would find on the ground after a big storm in San Diego. “It just felt good, even though it made no sense,” she says. “At the same time, it was keeping me sane.” Being willing to dip her toe into a creative endeavor that she knew she “didn’t have to be good at” also helped open Muschenetz to the idea of getting back to the poetry writing that had made her heart sing as a girl. “Through my high school and early college years, every margin of every notebook was covered with poems or rhymes,” she says. “And then it was just gone. It was scary for me to realize that I had cut that part out of myself, and how bad that was for me.” Coming home to poetry When Muschenetz did start writing again, she thought she might write a collection of poems rooted in domesticity and home life. She was surprised to find that what started flowing out of her instead were poems about her immigrant experience, which had never been the subject of her poetry while she was living it as a teenager. “I thought, ‘Well, shouldn’t I have gotten this out of my system?’ But here I was writing about this aspect of my identity that I never actually had written about before.”  She eventually had enough poems to pull together what became her first collection, titled All the Bad Girls Wear Russian Accents. The book reveals her propensity for weaving together dark and light, humor and tragedy, in a range of poems that cover everything from the war in Ukraine to the experience of being stereotyped for her ability to speak Russian, the language of many American movie villains.  Muschenetz initially thought that writing a book of poetry might be a onetime thing, the kind of undertaking that would allow her to check a box and move on. But as she was promoting her first book, she found herself fixating on a poem she hadn’t even written yet—one in the form of data that would spell out a word. The idea was eventually realized in “100% MOM.”  100% MOM: A PowerPoint Poem about Women and Labor Data sources include: “Life Stages and Populations by Sex,”CDC, NCHS; “Most pregnancy-related deaths are preventable, ”Hear Her Campaign, CDC, 2022; “The U.S. Maternal Mortality Crisis Continues to Worsen: An International Comparison, ”Commonwealth Fund, 2022; “The World’s Women 2020 Trends and Statistics,” United Nations; Oxfam International Inequality Reports: 2020, 2021; “Hard Work Is Not Enough: Women in Low-Paid Jobs,” National Women’s Law Center, July 2023. Detailed citations at technologyreview.com/Muschenetz.ORIGINALLY PUBLISHED IN WHALE ROAD REVIEW, SPRING 2023 That poem was the seed that grew into Power Point, and Muschenetz, whose poetry has been nominated for the Pushcart Prize three times, hasn’t looked back since. In addition to releasing that second volume of poetry, the product of what she calls the “analytic and overachieving brain” that helped her get through (and enjoy) business school, Muschenetz has used those same skills to help the poetry community in San Diego with some of the more practical needs, like grant writing, that are often lacking in communities of artists, says Katie Manning, a local poet and professor emeritus of poetry.  Muschenetz is mostly just happy to have found a way to use poetry to keep integrating and honoring the many different parts of her identity, from immigrant to business consultant.  “It is a huge disservice to all humanity when we ask our scientists or mathematicians or poets to only be that one thing, as opposed to being their whole selves,” she says.  You Are 600% Hotter than the SunBy Jane Muschenetz A cup of the Sun’s core produces ~60 milliwattsof thermal energy. By volume … less than that ofa human [350 mW]. In a sense, you are hotter thanthe Sun—there’s just not as much of you. —Henry Reich, Minute Physics Speaking roughly, in terms of heatgenerated per every human inch, you giveoff more milliwatts—surge/energy. Onlythe Sun is bigger … it matters.We are all blinded by love, the expanding/contractinguniverse is just another metaphorfor longing, and life—its own purpose.How dazzling, this science!Consider falling for a physicist—the painstakingly slow way they undressmathematical mysteries,talk about bodies in motiongets me every time—space —continuum, part, particle—Atomic. Incandescent! Youare, pound-for-pound, more Life-Source,more Bomb, more Season-Spinning Searing CenterHeart/Engine/Radiating Nuclear Dynamicthan the Sun. Can’t look directly in the mirror? Small Wonder! Imagine— none of us powerless.Originally published by Cathexis Northwest Press, May 2024  For Those of Us Forced to FleeBy Jane Muschenetz For those of us forced to fleethe world is forever shrinking down to a single question:What can you carry?The suitcase of your heart closed tighton all the things there was no room to bring—your memories of “home,” the snowflake momentsof your youth, the blooming Lilac treeoutside your bedroom window … a heavy burdensaps your strength on the long journey, bringonly what you need.Homes can be built again,a new tree can be rooted. Survive. When you have nothing left to plant, become the seed. Originally published in Issue 8, The Good Life Review, 2022. It received the 2022 Honeybee Poetry Prize and was nominated for a Pushcart Prize. Find more poetry by Jane Muschenetz at www.palmfrondzoo.com/janewriting.

Jane Muschenetz’s poems don’t look like the sonnets you remember studying in high school English. If anything, they’re more likely to call to mind your statistics class.

Flip through the pages of her poetry chapbook Power Point and you’ll see charts, graphs, and citations galore. One poem visually documents maternal mortality rates and women’s unpaid domestic labor in such a way that the bar and pie graphs spell out the word “MOM.” Another tracks deaths from gun violence across the globe and is presented as a gun-shaped graph. Still others are written in more standard poetic form but include citations that reference documents put out by the US government, the United Nations, and news organizations.

These poems are just a few of the many in Muschenetz’s latest book that wrestle with contemporary social issues using a combination of data-driven insights and the poetic form. The format is a unique one: The first time Hayley Mitchell Haugen, founding editor in chief of Muschenetz’s publisher Sheila-Na-Gig, saw the poems, she thought to herself, “I’ve never seen anything like this before.”

Point Blank
13. “Incidents of firearm mortality per 100K population for high income global economies with populations over 10M,” Institute for Health Metrics Evaluation, United Nations. Graphics treatment by Ingo Muschenetz. 14. “Child and Teen Firearm Mortality in the US and Peer Countries,” per 100K population, KFF.org, July 2023; CDC. Detailed citations at technologyreview.com/Muschenetz.
ORIGINALLY PUBLISHED BY WRITERS RESIST, WINTER 2023

While cold, hard numbers and poetry might seem antithetical at first blush, from Muschenetz’s perspective, the two couldn’t be a better fit. A former business consultant at Bain & Company who received her MBA at the Sloan School of Management, she released her first poetry book in her 40s, and she’s enjoyed uncovering what the artistic and scientific approaches to understanding the world have in common.

“Even though it maybe feels unintuitive that poetry and science are interrelated, they both make connections that are not immediately obvious,” she says. “They test out theories; they take risks. There’s a lot of nonlinear thinking that happens in both.”

Many of the poems in Power Point were inspired by watershed moments in global politics and culture, particularly ones that would shape the lives of women. From the partisan political theater on display at the confirmation hearing of US Supreme Court Justice Ketanji Brown Jackson to the passage of laws restricting women’s freedoms in Iran and Afghanistan, these events often left Muschenetz overwhelmed with frustration at the state of women’s rights today.

But knowing that women’s emotions are so often dismissed, she looked for a way to turn those feelings into something that she hoped would be harder to write off than standard poetry while still evoking the openheartedness with which people tend to approach art.

“I wanted something that listed just facts but expressed how angry I am,” she says. “I really wanted it to be fact-based. I wanted my sources to be publicly available and almost unassailable.” Her hope was that by repackaging these facts in the form of statistics-driven poetry, she might allow readers to receive the information in a new way—and get them thinking.

From Ukraine to California

Muschenetz’s childhood primed her to understand how global currents can shape an individual life from an early age. Born Yevgenia Leonidovna Veitzman to a Jewish family in the Ukrainian city of Lviv, Muschenetz says her family began trying to leave the country before she was born, hoping to escape the discrimination they faced under the Soviet government. But it wasn’t until she was 10 years old that the family was finally able to emigrate. When they were at last cleared to cross the border, they headed for San Diego, where she decided that Jane would be easier for Americans to pronounce than her given first name. (Ultimately, she would change her last name, too, when she married.)

Muschenetz often felt out of place in her new home, even though she was surrounded by other immigrant kids whose parents had moved to California in search of a better life. In one way she was like many American teenage girls, though: She had a lot of feelings, especially about romantic relationships, whether real or imagined, and she often wrote poems about them.  

At age 16, she began submitting her poetry to magazines and publishers, which brought her first taste of writerly rejection. “I was like, ‘Oh, well, I tried. Clearly this isn’t for me.’ Even though in my heart, since I was like four years old, I knew I was a writer and I loved literature,” she says. 

Her parents were “completely horrified” about the prospect of her pursuing a career in writing, but they weren’t much more excited about what she eventually landed on instead: a degree in political science at UC San Diego. “The response was always ‘Poets get shot. Politicians get shot,’” she says. 

She might not have been able to articulate it at age 18, but looking back, Muschenetz makes sense of the decision to study political science as driven by her desire to understand the global forces that caused her family to emigrate. “I wanted to know: How do we structure policy? Who makes these choices, and how can we change them and make them better?” she says.

Jane Muschenetz

STACY KECK

But the dream of writing was hard to let go of. By the time Muschenetz was a few years out of college, she’d applied for two different programs: an MFA in writing and the MBA program at Sloan. And though she didn’t get accepted to the MFA program, her time at Sloan ended up profoundly shaping the poetry she would write two decades later, giving her the statistical analysis and data interpretation skills that formed the backdrop for Power Point. Those were skills she sharpened even further in the years she spent working as a business consultant at Bain right after earning her MBA.

“I don’t think the average joe could pull off [what she does in that book], because she knows how to present statistics well,” says Haugen. “She knows how to look at them analytically and offer them up in a way that a layperson can understand.”

Muschenetz left the business world after four years at Bain to focus on parenting her two children, as well as serving in various volunteer capacities at their schools and with local community organizations. It wasn’t until the world shut down in 2020 with the onset of the covid-19 pandemic that she found herself getting back in touch with the creative impulses that had animated her previously. Those impulses manifested in part as visual art: Muschenetz began painting a menagerie of animals on the bases of palm fronds she would find on the ground after a big storm in San Diego. “It just felt good, even though it made no sense,” she says. “At the same time, it was keeping me sane.”

Being willing to dip her toe into a creative endeavor that she knew she “didn’t have to be good at” also helped open Muschenetz to the idea of getting back to the poetry writing that had made her heart sing as a girl.

“Through my high school and early college years, every margin of every notebook was covered with poems or rhymes,” she says. “And then it was just gone. It was scary for me to realize that I had cut that part out of myself, and how bad that was for me.”

Coming home to poetry

When Muschenetz did start writing again, she thought she might write a collection of poems rooted in domesticity and home life. She was surprised to find that what started flowing out of her instead were poems about her immigrant experience, which had never been the subject of her poetry while she was living it as a teenager. “I thought, ‘Well, shouldn’t I have gotten this out of my system?’ But here I was writing about this aspect of my identity that I never actually had written about before.” 

She eventually had enough poems to pull together what became her first collection, titled All the Bad Girls Wear Russian Accents. The book reveals her propensity for weaving together dark and light, humor and tragedy, in a range of poems that cover everything from the war in Ukraine to the experience of being stereotyped for her ability to speak Russian, the language of many American movie villains. 

Muschenetz initially thought that writing a book of poetry might be a onetime thing, the kind of undertaking that would allow her to check a box and move on. But as she was promoting her first book, she found herself fixating on a poem she hadn’t even written yet—one in the form of data that would spell out a word. The idea was eventually realized in “100% MOM.” 

100% MOM: A PowerPoint Poem about Women and Labor
Data sources include: “Life Stages and Populations by Sex,”CDC, NCHS; “Most pregnancy-related deaths are preventable, ”Hear Her Campaign, CDC, 2022; “The U.S. Maternal Mortality Crisis Continues to Worsen: An International Comparison, ”Commonwealth Fund, 2022; “The World’s Women 2020 Trends and Statistics,” United Nations; Oxfam International Inequality Reports: 2020, 2021; “Hard Work Is Not Enough: Women in Low-Paid Jobs,” National Women’s Law Center, July 2023. Detailed citations at technologyreview.com/Muschenetz.
ORIGINALLY PUBLISHED IN WHALE ROAD REVIEW, SPRING 2023

That poem was the seed that grew into Power Point, and Muschenetz, whose poetry has been nominated for the Pushcart Prize three times, hasn’t looked back since. In addition to releasing that second volume of poetry, the product of what she calls the “analytic and overachieving brain” that helped her get through (and enjoy) business school, Muschenetz has used those same skills to help the poetry community in San Diego with some of the more practical needs, like grant writing, that are often lacking in communities of artists, says Katie Manning, a local poet and professor emeritus of poetry. 

Muschenetz is mostly just happy to have found a way to use poetry to keep integrating and honoring the many different parts of her identity, from immigrant to business consultant. 

“It is a huge disservice to all humanity when we ask our scientists or mathematicians or poets to only be that one thing, as opposed to being their whole selves,” she says. 


You Are 600% Hotter than the Sun
By Jane Muschenetz

A cup of the Sun’s core produces ~60 milliwatts
of thermal energy. By volume … less than that of
a human [350 mW]. In a sense, you are hotter than
the Sun—there’s just not as much of you. 

—Henry Reich, Minute Physics

Speaking roughly, in terms of heat
generated per every human inch, you give
off more milliwatts—surge/energy. Only
the Sun is bigger … it matters.
We are all blinded 
by love, the expanding/contracting
universe is just another metaphor
for longing, and life—its own purpose.
How dazzling, this science!
Consider falling for a physicist—
the painstakingly slow way they undress
mathematical mysteries,
talk about bodies in motion
gets me every time—space 
—continuum, part, particle—
Atomic. Incandescent! You
are, pound-for-pound, more Life-Source,
more Bomb, more Season-Spinning Searing Center
Heart/Engine/Radiating Nuclear Dynamic
than the Sun. Can’t look directly 
in the mirror? Small Wonder! Imagine—

none of us powerless.

Originally published by Cathexis Northwest Press, May 2024 


For Those of Us Forced to Flee
By Jane Muschenetz

For those of us forced to flee
the world is forever shrinking down to a single question:
What can you carry?
The suitcase of your heart closed tight
on all the things there was no room to bring—
your memories of “home,” the snowflake moments
of your youth, the blooming Lilac tree
outside your bedroom window … a heavy burden
saps your strength on the long journey, bring
only what you need.
Homes can be built again,
a new tree can be rooted.

Survive.

When you have nothing left to plant, become the seed.

Originally published in Issue 8, The Good Life Review, 2022. It received the 2022 Honeybee Poetry Prize and was nominated for a Pushcart Prize.

Find more poetry by Jane Muschenetz at www.palmfrondzoo.com/janewriting.

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Energy Secretary Announces Cancellation of Three Proposed National Interest Electric Transmission Corridors

WASHINGTON—U.S. Secretary of Energy Chris Wright today announced that the U.S. Department of Energy (DOE) will not move forward with designating the three proposed National Interest Electric Transmission Corridors (NIETCs) previously selected in December 2024 to advance in the review process. “Extensive review, including public feedback and stakeholder input, made clear that the current designation process for these three proposed transmission corridors should not continue,” said Secretary Wright. “Transmission policy must serve the American people—not special interests or a climate-alarmist agenda that drives up costs, worsens reliability, and disregards the concerns of local communities. The Trump Administration is committed to strengthening America’s electric grid with common-sense policies that prioritize delivering affordable, reliable, and secure electricity to American families and businesses.” The previous administration touted the Lake Erie–Canada Corridor, the Southwestern Grid Connector Corridor, and the Tribal Energy Access Corridor, as a means to advance their Green New Scam agenda and “accelerate decarbonization.” As the process unfolded, the current designation framework proved ineffective in strengthening grid reliability and reducing electricity costs. In some communities, it also contributed to confusion and concern about the scope and intent of NIETC authority. Thanks to President Trump and Secretary Wright, DOE has already taken numerous steps to build new transmission infrastructure and modernize existing infrastructure, including: In October 2025, DOE’s Office of Energy Dominance Financing (EDF) closed a $1.6 billion loan guarantee to AEP Transmission to reconductor and rebuild nearly 5,000 miles of transmission lines across five states.  In February 2026, DOE’s Office of Energy Dominance Financing (EDF) closed $26.5 billion in loans to Southern Company subsidiaries Georgia power and Alabama Power to support generation and grid investments, including more than 1,300 miles of transmission and grid enhancement projects.  In March 2026, DOE’s Office of Electricity (OE) announced the $1.9 billion SPARK funding opportunity to

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Permian Resources lifts forecast on working interest gains, acquisitions

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Texas Tightens Oversight of Data Center Development

Texas has spent the past decade building one of the most data center-friendly policy environments in the United States. But the state’s political posture is tightening. The emerging message from Austin is that continued data center growth will face greater scrutiny over grid costs, water use, tax incentives and community impacts. What is interesting about this policy conversation is that the Texas Legislature is not in regular session. The 89th regular session ended June 2, 2025, and the 90th Legislature does not convene until January 12, 2027. What has occurred instead is a concentrated period of interim committee work, gubernatorial recommendations, implementation of Senate Bill 6, calls for a special session, and regulatory action by the Public Utility Commission of Texas and the Electric Reliability Council of Texas. Together, those efforts are creating the framework for a broader legislative debate in 2027 while already affecting projects seeking ERCOT interconnection, infrastructure costs and site-selection decisions. Abbott Sets Out a New Policy Framework The policy shift accelerated June 10, when Gov. Greg Abbott directed the PUCT to require data centers to fully fund the electric infrastructure needed to serve their operations and directed PUCT and ERCOT to identify additional actions available under existing authority. Separately, Abbott pledged to work with lawmakers in 2027 on legislation requiring data centers to add electric capacity, use water-efficient cooling systems, report electricity and water use, phase out outdated tax incentives and adopt additional protections for neighboring communities. The most consequential shift began June 10, when Gov. Greg Abbott sent state electricity regulators a sweeping list of data center policy priorities. Abbott called for future legislation requiring new facilities to add generation to the Texas grid, pay the full cost of their interconnection and related infrastructure, use closed-loop or similarly water-efficient cooling systems, and file annual reports

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NVIDIA Pushes the AI Factory From Rack to Asset Class

Making Compute Underwritable Huang expanded the argument a day later in an NVIDIA blog describing AI factory compute as an emerging investable asset class. NVIDIA’s case begins with a definition. The company does not describe its compute platform simply as a GPU. It includes accelerated computing, networking, systems software, AI frameworks and the CUDA software ecosystem surrounding the hardware. That wider platform matters to the financing thesis because NVIDIA argues it increases the number of potential users for an installed AI system. An NVIDIA DSX AI factory could support language models, vision, speech, biological computing, robotics, physical AI and other workloads. The same infrastructure could potentially move among customers, clouds or operators as demand changes. In financial terms, NVIDIA is arguing for fungibility. That could become particularly important to lenders and infrastructure investors trying to determine what happens if an original customer disappears, a contract expires or the economics of a particular workload change. A GPU cluster tied economically to one speculative tenant is one thing. Compute that can be redeployed across a large global market of clouds, enterprises, AI developers and model providers is a different risk proposition. NVIDIA contends that this breadth of potential offtakers helps protect residual value. Whether institutional markets ultimately price that risk the way NVIDIA hopes remains to be seen. But the company is now explicitly trying to establish a financial framework around that premise. Challenging the Traditional Depreciation Curve NVIDIA’s second argument is that software can extend the economic life of installed hardware. CUDA is central to that case. The company maintains that successive software improvements can increase the performance and efficiency of systems that have already been deployed, allowing the same hardware to produce more useful work at lower cost over time. That does not eliminate hardware obsolescence. New GPU generations continue

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The Next Data Center Constraint: Trust

When Facts Aren’t Enough Few places offer a more revealing test case than Loudoun County, Virginia. Data Center Alley has spent decades living with data center development at a scale most emerging markets will never approach. Rizer said Loudoun’s experience gives the county an unusually deep record with which to answer questions about environmental impacts, infrastructure and economic benefits. But those facts increasingly struggle to penetrate the broader public debate. Rizer said Loudoun today has more than 250 data centers, while the entire sector uses less than 10% of the county water system. He also pointed to improved air quality over the past decade and approximately $1.2 billion in tax revenue from the industry. Yet he acknowledged that simply producing another data point does little good when residents no longer trust the people presenting it. “I call it community concern whack-a-mole, because every time you address one thing, there are three others that pop up,” Rizer said. The problem, in his view, has become partly emotional rather than informational. “You can’t change how people think until you change how they feel,” he said. “And right now they feel angry, they feel confused, they are fearful, they are mistrustful, both of government and the big tech industry.” That distinction matters. The industry’s instinct has often been to counter criticism with facts: tax receipts, job numbers, water-use calculations, emissions data or explanations of how a particular cooling system works. Those facts remain important. But Rizer’s argument is that the industry must first rebuild enough credibility for communities to hear them. The Industry’s Unforced Errors Not all of the distrust has arrived from outside the industry. Rizer and Waitkunas were equally pointed about mistakes by developers and operators that have given opponents powerful examples to use against data center projects elsewhere. “The industry

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Reports: Data Center Expansion Finds Its Contours

AI Density Is Arriving Unevenly Inside the data center, the AI transition remains equally uneven. Uptime’s 2026 survey found the average modal, or most common, rack density across respondents exceeding 11 kW for the first time, up from 9 kW in 2025. But that number requires context. A relatively small group of very high-density facilities pulls the average upward. Without those facilities, Uptime puts average modal rack density at 7.8 kW, only modestly higher than 7.5 kW in 2025. The industry therefore continues to operate two realities at once: a vast installed base running conventional rack densities and a rapidly emerging class of AI facilities pushing far beyond them. The latter is becoming more visible. Some 24% of Uptime respondents now report racks at 30 kW or higher, up from 19% last year. Much of the increase occurred above 50 kW, and some operators reported deployments exceeding 100 kW. Still, most surveyed facilities have no racks at 30 kW or above. AI inference is also moving up the density curve. For the first time in Uptime’s survey, generative AI inference matched AI training as a driver of respondents’ highest-density deployments, with 21% citing each workload. That matters because inference potentially pushes AI infrastructure requirements beyond a relatively concentrated population of model-training campuses and into a broader set of facilities and markets. Power Is Both Constraint and Risk No issue connects the three reports more consistently than power. It limits new site availability. It redirects development toward emerging markets. It shapes community debates. It affects density and cooling architecture. And once a facility is operating, it remains the largest source of outage risk. Uptime says 56% of operators who experienced an impactful outage identified power as the primary cause of their most recent incident. The institute cautions against treating the increase

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DCF Poll: What Will Constrain Data Center Growth Next?

Matt Vincent is Editor in Chief of Data Center Frontier, where he leads editorial strategy and coverage focused on the infrastructure powering cloud computing, artificial intelligence, and the digital economy. A veteran B2B technology journalist with more than two decades of experience, Vincent specializes in the intersection of data centers, power, cooling, and emerging AI-era infrastructure. Since assuming the EIC role in 2023, he has helped guide Data Center Frontier’s coverage of the industry’s transition into the gigawatt-scale AI era, with a focus on hyperscale development, behind-the-meter power strategies, liquid cooling architectures, and the evolving energy demands of high-density compute, while working closely with the Digital Infrastructure Group at Endeavor Business Media to expand the brand’s analytical and multimedia footprint. Vincent also hosts The Data Center Frontier Show podcast, where he interviews industry leaders across hyperscale, colocation, utilities, and the data center supply chain to examine the technologies and business models reshaping digital infrastructure. Since its inception he serves as Head of Content for the Data Center Frontier Trends Summit. Before becoming Editor in Chief, he served in multiple senior editorial roles across Endeavor Business Media’s digital infrastructure portfolio, with coverage spanning data centers and hyperscale infrastructure, structured cabling and networking, telecom and datacom, IP physical security, and wireless and Pro AV markets. He began his career in 2005 within PennWell’s Advanced Technology Division and later held senior editorial positions supporting brands such as Cabling Installation & Maintenance, Lightwave Online, Broadband Technology Report, and Smart Buildings Technology. Vincent is a frequent moderator, interviewer, and keynote speaker at industry events including the HPC Forum, where he delivers forward-looking analysis on how AI and high-performance computing are reshaping digital infrastructure. He graduated with honors from Indiana University Bloomington with a B.A. in English Literature and Creative Writing and lives in southern New Hampshire with

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Is your networking built for AI’s traffic patterns and data volumes?

As data centers evolve into AI factories, compute has shifted from a cost center to a revenue driver. “Compute is revenue,” said Jensen Huang, co-founder and CEO of NVIDIA. “Without compute, there is no way to generate tokens. Without tokens, there’s no way to generate revenue. So, in this new world of AI, compute equals revenue.” This reframe changes an organizations’ calculus. If compute is revenue, what do you optimize for? Here are 5 questions to consider: Are you measuring what actually drives AI factory revenue? Most AI factories are power-constrained, so tokens per watt dictate how much revenue you can generate and the cost per token impacts the AI factory profit margin. But neither of these metrics should be evaluated at a single operating point. Batch jobs, real-time chat, and agentic workloads demand different points on the throughput-latency curve. AI chips that perform well at only a few points will underserve the full range of workloads. Additional key operational metrics like time to first token (TTFT), mean time between interruptions (MTBI), and platform useful life are the bedrock of AI factory efficiency. They dictate how quickly an AI factory comes online to generate tokens, the reliability of its revenue streams, and its long-term ability to remain productive as AI workloads evolve. How does agentic AI change what your CPU needs to deliver? Data center CPUs have historically been optimized for parallel throughput, where more cores improve aggregate capacity.  Agentic workloads run in loops and make different demands. The model reasons on the GPU, the CPU executes tool calls such as code compilation and data retrieval, and the result returns to the GPU so the model can reason again. Every step runs in sequence, gated by the one before it. Per-core performance and memory latency determine how fast each step

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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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