Cited by 146Green IT and SustainabilityCloud Computing and Resource ManagementEnergy Efficiency in Computing

The Cloud Is Material: On the Environmental Impacts of Computation and Data Storage

Open access
Monserrate, Steven Gonzalez·2022·MIT Case Studies in Social and Ethical Responsibilities of Computing

Abstract

In the age of machine learning, cryptocurrency mining, and seemingly infinite data storage capacity enabled by cloud computing, the environmental costs of ubiquitous computing in modern life are obscured by the sheer complexity of infrastructures and supply chains involved in even the simplest of digital transactions. How does computation contribute to the warming of the planet? As information technology (IT) capacity demands continue to trend upward, what are some of the ecological obstacles that must be overcome to accommodate an ever-expanding, carbon-hungry Cloud? How do these material impacts play out in everyday life, behind the scenes, where servers, fiber optic cables, and technicians facilitate cloud services? This case study draws on firsthand ethnographic research in data centers—sprawling libraries of computer servers that facilitate everything from email to commerce—to identify some of the far-reaching and tangled environmental impacts of computation and data-storage infrastructures. It surveys a range of empirical accounts of server technicians to illustrate on-the-ground examples of material and ecological factors that permeate everyday life in the Cloud. These examples include air conditioning and thermal management, water cycling, and the disposal of e-waste. By attending to the culture of workplace practice and the behaviors and training of technicians in data centers, this case study reveals that the Cloud is not fully automated, nor is it hyperrational; emotion, instinct, and human judgment are enlisted to keep servers running. This case study closes with a speculative vignette that scales up from various local impacts to a planetary framework, sketching some of the particular ways that computation contributes to climate change and the Anthropocene.

AI snapshot

Written from the paper’s full text.

TL;DR

This case study argues that the Cloud is material and ecological, drawing on five years of ethnographic fieldwork in North American data centers to trace carbon, water, noise, and e-waste impacts. It also shows that data center work is cultural and reliant on human judgment, not fully automated or hyperrational.

Key findings

  • Data centers are carbon- and energy-intensive: cooling accounts for greater than 40 percent of electricity usage in most data centers; collectively they use 200 TWh annually, account for 0.3 percent of overall carbon emissions (2 percent including networked devices), and in some cases only 6–12 percent of energy consumed is devoted to active computation. The Cloud’s carbon footprint is greater than the airline industry’s, and a single data center can consume the equivalent electricity of fifty thousand homes. Training a handful of AI models can emit over 626,000 pounds of CO₂, and cryptocurrency production is estimated at 20–115 TWh annually, around 0.33 percent of global electricity usage.
  • Water and noise are major local impacts: the NSA’s Utah Data Center uses seven million gallons of water daily; residents in Mesa, Arizona and Bluffdale, Utah face water shortages and power outages; and residents near data centers in Chandler, Arizona and Chicago’s Printer’s Row reported hypertension, elevated cortisol, and anxiety from continuous noise, even when decibel levels fell below local ordinance thresholds.
  • E-waste and device turnover are severe: over 7 billion devices have been manufactured since 2007, with average lifespans under two years; less than 16 percent of annual e-waste is recycled; and a single desktop computer requires 240 kilograms of fossil fuels, 22 kilograms of chemicals, and 1,500 kilograms of water to manufacture.
  • Sustainability is shaped by workplace culture: technicians rely on instinct, fear of downtime, and practices like “flood cooling,” showing that ecological impacts extend beyond design limits to human behavior, training, and norms.

Methods

  • Design: an ethnographic case study based on five years of qualitative research and participant observation in North American data centers, supplemented by a broad literature overview across computer science, engineering, media studies, and related fields.
  • Data/sample: firsthand fieldnotes and interviews with data center technicians and managers; community fieldwork in Mesa/Chandler, Arizona and Chicago’s Printer’s Row; industry meetups; and virtual interviews.
  • Analysis: thematic and ethnographic analysis of material infrastructures and workplace culture, closing with a speculative vignette that scales local impacts to a planetary framework.

Limitations

  • The paper states that carbon and energy figures are “far from comprehensive” because emissions data are often proprietary, forcing scholars and activists to rely on public records and voluntary company data; it also notes that cryptocurrency carbon estimates are debated.
  • The paper states that its closing speculative vignette is unlikely to unfold as described.
  • Evident from the text: the ethnographic scope is limited to North American data centers and selected communities, not a global representative sample, and the study does not provide systematic quantitative measurement of environmental impacts.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.21428/2c646de5.031d4553

Cites

45 of 45 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Claims the paper makes

0 of 44 cited sources checked · 0 supported · 0 flagged

  • Findingnone given

    There were days when data centers, running diesel generators, vastly exceeded permissible decibel-thresholds for noise.

    “there were days when the data centers, running diesel generators, vastly exceeded permissible decibel-thresholds for noise.”
    Quote in the paperNot a substantial claim
  • Findingcitation

    Over the course of fieldwork with communities of Chandler and Printer's Row, the author learned that the noise of the Cloud uniquely eludes regulatory schemes.

    “Over the course of my fieldwork with the communities of Chandler and Printer’s Row, I learned that the “noise” of the Cloud uniquely eludes regulatory schemes.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [42]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Findingreasoning

    Data centers emit acoustic waste, or noise pollution.

    “Data centers emit acoustic waste, what environmentalists call “noise pollution.””
    Quote in the paperSubstantial claim
  • Findingreasoning

    Cables, batteries, uninterruptible power supplies, air conditioners, power distribution units, and transformers are periodically decommissioned and disposed of when warranties expire and units fail to perform with high standards of reliability and redundancy.

    “Cables, batteries, uninterruptible power supplies (UPS), air conditioners (CRACs and CRAHs), power distribution units (PDUs), and transformers are also periodically decommissioned and disposed of, when warranties expire and units fail to perform with the high standards of reliability and redundancy set by entities like the Uptime Institute.”
    Quote in the paperSubstantial claim
  • Findingcitation

    In Mesa, Arizona, some politicians are openly opposing construction of data centers, framing their water usage as inessential and irresponsible given resource constraints.

    “In Mesa, Arizona, where I spent six months researching the emergence of a desert data center hub, some politicians are now openly opposing the construction of data centers, framing the centers’ water usage as inessential and irresponsible given resource constraints.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [30]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Classified as probably not a substantial claim. 32
  • May combine two claims. 26
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingnone given

    Some residents reported that the monotonal drone, a frequency hovering within the range of human speech, is particularly disturbing given human ears' attuned sensitivity to discern such frequencies above others.

    “some residents reported that the monotonal drone, a frequency hovering within the range of human speech, is particularly disturbing, given the attuned sensitivity of human ears to discern such frequencies above others.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    While more reliable technologies and heightened awareness to climate change have made flood cooling largely defunct today, the author still observed behaviors in the data center similarly motivated by fear or hunches.

    “While more reliable technologies and heightened awareness to climate change have made “flood cooling” practices largely defunct today, I still observed behaviors in the data center that were similarly motivated by fear or “hunches,” like the one Tom had about aisle C9.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingown data

    The Cloud's stewards have a culture of their own.

    “The Cloud’s stewards have a culture of their own.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingcitation

    When residents contacted authorities to intervene, no action was taken because data centers had not technically violated the law and their properties were zoned for industrial purposes.

    “when residents contacted the authorities to intervene, to attenuate or quiet their noise, no action was taken, because the data centers had not technically violated the law, and their properties were zoned for industrial purposes.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [44]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Findingown data

    The Cloud is not fully automated, nor is it hyperrational; emotion, instinct, and human judgment are enlisted to keep servers running.

    “this case study reveals that the Cloud is not fully automated, nor is it hyperrational; emotion, instinct, and human judgment are enlisted to keep servers running.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Findingnone given

    Servers that fill data centers are dense, specialized assets, with some units valued in the tens of thousands of US dollars.

    “The servers that fill the halls of data centers are dense, specialized assets, with some units valued in the tens of thousands of US dollars.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingnone given

    While community efforts to minimize data center noise pollution are ongoing, residents are resigned to modest goals to improve rather than solve the problem.

    “While the efforts of these communities to minimize the noise pollution harming them are ongoing, they are resigned to modest goals to improve rather than solve the problem.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingreasoning

    Given the enormous financial cost for every minute of downtime in data centers, incidents attributable to human error are often career-ending for those involved.

    “Given the enormous financial cost for every minute of downtime in data centers, incidents attributable to human error are often “career-ending” for those involved, as one industry veteran relayed to me in a virtual interview.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Findingnone given

    Smaller-scale traditional data centers have often been set up within older buildings not optimized for changing power, cooling, and data storage capacity needs.

    “Smaller-scale, traditional data centers have often been set up within older buildings that are not optimized for everchanging power, cooling, and data storage capacity needs.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingcitation

    In Bluffdale, Utah, residents are suffering from water shortages and power outages as a result of the nearby Utah Data Center, which consumes seven million gallons of water daily.

    “In Bluffdale, Utah, residents are suffering from water shortages and power outages, as a result of the nearby Utah Data Center, a facility of the US National Security Agency (NSA) that guzzles seven million gallons of water daily to operate.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [31]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Premisecitation

    Some hyperscale data centers have pledged to become carbon-neutral via offsets and renewable energy, while many smaller-scale data centers lack the resources and capital for similar sustainability initiatives.

    “some of the most advanced, “hyperscale” data centers, like those maintained by Google, Facebook, and Amazon, have pledged to transition their sites to carbon-neutral via carbon offsetting and investment in renewable energy infrastructures like wind and solar, many of the smaller-scale data centers that I observed lack the resources and capital to pursue similar sustainability initiatives.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [12]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Interpretationnone given

    The material and political conditions of ICT device manufacture, and the resources required for their production, remain obscured.

    “the material and political conditions of their manufacture, and the resources required for their production, remain obscured.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Other scholars have recently turned to speculative fiction to help identify potential harms that could arise from computing research practices, such as the collection of huge data sets compiled from publicly accessible social media sites.

    “Other scholars have recently turned to speculative fiction to help identify potential harms that could arise from computing research practices, such as the collection of huge data sets compiled from publicly accessible social media sites.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [53]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationcitation

    The Climate Neutral Data Centre Pact, a consortium of European data center companies and infrastructure providers promising to become climate neutral by 2050, provides a model for larger-scale regulatory initiatives that could make a more substantial impact.

    “larger mechanisms of accountability like the recent Climate Neutral Data Centre Pact, a consortium of European data center companies and infrastructure providers promising to become “climate neutral” by 2050, provide a model for larger-scale regulatory initiatives that could make a more substantial impact.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [38]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Premisecitation

    In vast factories like Foxconn in the Global South, where labor is cheap and legal protections scant, smartphones are assembled and shipped to consumers, only to be discarded in months and end up in e-waste graveyards like Agbogbloshie, Ghana.

    “in vast factories like Foxconn located in the Global South, where labor can be procured cheaply and legal protections for workers are scant, smartphones are assembled and shipped out to consumers, only to be discarded in a matter of months, to end up in e-waste graveyards like those of Agbogbloshie, Ghana”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [46]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Companies like Google are pledging to go water-positive by 2030, committing to replenish 120 percent of the water they consume in facilities and offices.

    “companies like Google are pledging to go “water- positive” by 2030, committing to “replenish” 120 percent of the water they consume in their facilities and offices.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [32]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S2 (checkable). May combine two claims.

    Interpretationnone given

    The Cloud is both cultural and technological.

    “The Cloud is both cultural and technological.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S4 (based). May combine two claims.

    Interpretationreasoning

    Individualized responses such as digital abstinence would not be enough to mitigate the crisis; individuals' digital abstinence would not likely exert enough market influence to stop or slow the expansion of the Cloud, with its servers and redundant chains of idling equipment designed to make the digital available anytime, anywhere.

    “Yet such individualized responses would not be enough to mitigate the crisis; individuals' digital abstinence would not likely exert enough market influence to stop or slow the expansion of the Cloud, with its servers and redundant chains of idling equipment designed to make the digital available anytime, anywhere.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisecitation

    These metals, many toxic and containing radioactive elements, take millennia to decay.

    “These metals, many of which are toxic and contain radioactive elements, take millennia to decay.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [47]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.

    Premisenone given

    Unlike other industries, data centers are largely self-regulating: there is no sweeping federal agency to govern the siting and operation of new and existing facilities.

    “Unlike other industries, data centers are largely self-regulating: there is no sweeping federal agency to govern the siting and operation of new and existing facilities.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim. May combine two claims.

    Interpretationnone given

    The Cloud is a social and cultural formation as well as a technological and material one.

    “I approach the study of the Cloud holistically, taking seriously the technological and material aspects of computation and data storage, while also attending to the ways that the Cloud is a social and cultural formation.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.

    Premisenone given

    Machine learning and cryptocurrency mining are two computational processes performed by servers that are particularly energy-intensive and of increasing concern.

    “there are two computational processes performed by servers that are particularly energy-intensive and are of increasing concern to scholars, activists, and data center industry professionals: 1) machine learning and 2) cryptocurrency mining.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.

    Interpretationreasoning

    Computation is metabolic: to maximize returns, energy inputs must match intensity, as cooling BTUs must be matched to electricity kWh to prevent thermal runaway.

    “computation is metabolic: to maximize returns on computational processes, energy inputs must match intensity in the same way that tons of cooling (BTUs) must be matched to electricity curves (kwh) to prevent thermal runaway.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisecitation

    The equivalent of one US dollar in Bitcoin requires over seventeen megajoules of energy to produce, double the energy required to mine copper, gold, or platinum.

    “the equivalent of one US dollar in Bitcoin requires over seventeen megajoules of energy to produce, which is double the amount of energy required to mine copper, gold, or platinum.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [29]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Premisenone given

    Under grueling conditions, miners plumb the earth for rare metals required to make information and communications technology devices.

    “Under grueling conditions, miners tirelessly plumb the earth for the rare metals required to make information and communications technology (ICT) devices.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S1 (asserted), S3 (load-bearing).

    Premisecitation

    Media scholar Mél Hogan warns against entrusting Big Tech with its own regulation, given companies' financial ties to the fossil fuel industry and failure to meet previous pledges.

    “Media scholar Mél Hogan warns against entrusting “Big Tech” with its own regulation, given the companies’ financial ties to the fossil fuel industry and failure to meet the deadlines of previous pledges to reduce carbon emissions or other kinds of waste.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [36]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Premisecitation

    By implementing closed-loop water cooling systems, companies like Google and Cyrus One can recycle some wastewater used in evaporative cooling, though much water escapes into the atmosphere during evaporation.

    “By implementing costly “closed-loop” water cooling systems, companies like Google and Cyrus One are able to recycle some of the wastewater used in evaporative cooling, though much of the water escapes into the atmosphere during the evaporative process.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [33]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    For places like Iceland, with free cooling and a largely sustainable geothermal energy grid, high-performance computation is a natural fit.

    “For places like Iceland, with free cooling and a largely sustainable geothermal energy grid, highperformance computation is a “natural” fit.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [26]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Interpretationreasoning

    The shift from cooling air to cooling water is an attempt to reduce carbon footprint but comes at a cost.

    “This shift from cooling air to cooling water is an attempt to reduce carbon footprint, but it comes at a cost.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Premisecitation

    In North America, most data centers draw power from dirty electricity grids, especially in Virginia's data center alley, the site of 70 percent of the world's internet traffic in 2019.

    “In North America, most data centers draw power from “dirty” electricity grids, especially in Virginia’s “data center alley,” the site of 70 percent of the world’s internet traffic in 2019.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [9]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    Advances in machine learning have led to sustainability innovations in a number of industries and advanced research to support environmentalist agendas.

    “advances in machine learning have led to sustainability innovations in a number of industries and have advanced research to support environmentalist agendas.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [21]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationown data

    The story of the data center is as much about humans as it is about air conditioners, servers, and cables.

    “the story of the data center is as much about humans as it is about air conditioners, servers, and the messy cables I spent hours untangling as part of my initiation into this niche world.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S4 (based).

    Premisereasoning

    In many data centers today, chilled water is piped through server racks to cool the facility because liquid is a superior convective agent than air.

    “In many data centers today, chilled water is piped through the latticework of server racks to more efficiently cool the facility, liquid being a superior convective agent than air.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationreasoning

    A holistic approach to environmental reforms in the data center industry requires consideration of the workplace culture and norms within data centers.

    “A holistic approach to environmental reforms in the data center industry requires consideration of the workplace culture and norms within data centers.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S4 (based). May combine two claims.

    Interpretationreasoning

    The ecological dynamics we find ourselves in are not entirely a consequence of design limits, but of human practices and choices-among individuals, communities, corporations, and governments-combined with a deficit of will and imagination to bring about a sustainable Cloud.

    “The case study illustrates that the ecological dynamics we find ourselves in are not entirely a consequence of design limits, but of human practices and choices-among individuals, communities, corporations, and governments-combined with a deficit of will and imagination to bring about a sustainable Cloud.”
    Quote in the paperNot a substantial claim
    • Rests on an assumption: A sustainable Cloud is achievable, so that the ecological problem is a matter of will and imagination rather than an unavoidable consequence of design limits.
  • May combine two claims.

    Premisecitation

    Training a handful of artificial intelligence models can emit over 626,000 pounds of carbon dioxide, as much as five American automobiles do over their lifespans.

    “training a handful of artificial intelligence models can emit over 626,000 pounds of carbon dioxide, as much as five American automobiles do over their lifespans.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [20]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    According to a Lawrence Berkeley National Laboratory report, if the entire Cloud shifted to hyperscale facilities, energy usage might drop as much as 25 percent.

    “According to a Lawrence Berkeley National Laboratory report, if the entire Cloud shifted to hyperscale facilities, energy usage might drop as much as 25 percent.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [13]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Google and others pledge to invest in water infrastructure and community resources to enhance water stewardship and water security.

    “Google and others pledge to invest in water infrastructure and community resources to enhance “water stewardship” and “water security.””
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [34]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Premisecitation

    Electricity utilized by data centers accounts for 0.3 percent of overall carbon emissions; including networked devices like laptops, smartphones, and tablets, the total shifts to 2 percent of global carbon emissions.

    “Today, the electricity utilized by data centers accounts for 0.3 percent of overall carbon emissions, and if we extend our accounting to include networked devices like laptops, smartphones, and tablets, the total shifts to 2 percent of global carbon emissions.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [18]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisenone given

    Many companies, universities, and others operating small-scale data centers have begun transferring data to hyperscalers or cloud colocation facilities, citing energy cost reductions.

    “many companies, universities, and others who operate their own small-scale data centers have begun to transfer their data to hyperscalers or cloud colocation facilities, citing energy cost reductions.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisenone given

    Some decommissioned components have toxic polychlorinated biphenyls and must be disposed of rather than reused.

    “Some of these components have toxic polychlorinated biphenyls (PCBs) and must be disposed of rather than reused.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisecitation

    Heat is the waste product of computation, and if left unchecked it becomes a foil to the workings of digital civilization.

    “Heat is the waste product of computation, and if left unchecked, it becomes a foil to the workings of digital civilization.”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites [6]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites [7]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S4 (based).

    Premisenone given

    Communities in the western United States are increasingly strained for water resources.

    “communities in the western United States are increasingly strained for water resources.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationcitation

    Corporate pledges such as Google's water-positive pledge are not enforceable and do not appear feasible given expected explosive growth in data storage infrastructures, a tripling by some estimates.

    “Corporate pledges such as these, while laudable, are not enforceable, nor do they appear to be feasible given the explosive growth expected in data storage infrastructures over the next decade, a tripling by some estimates.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [35]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Climate models anticipate cataclysmic climate futures.

    “in which climate models anticipate cataclysmic climate futures”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [54]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).

    Premisecitation

    Fictions are not falsehoods but refashionings through which analysts experiment with different scenarios, trajectories, and reversals, elaborating new values and testing different possibilities for creating more just and equitable societies.

    “Fictions…are not falsehoods but refashionings through which analysts experiment with different scenarios, trajectories, and reversals, elaborating new values and testing different possibilities for creating more just and equitable societies.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [52]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Environmental organizations like Greenpeace estimate that less than 16 percent of the tons of e-waste generated annually is recycled.

    “environmental organizations like Greenpeace estimate that less than 16 percent of the tons of e-waste generated annually is recycled.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [50]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).

    Premisecitation

    The survival of civilization now hinges on our collective capacities to envision and realize a sustainable future.

    “The survival of civilization now hinges on our collective capacities to envision and realize a sustainable future.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [55]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Premisecitation

    The mining of cryptocurrency is a computationally intensive process with a growing ecological impact.

    “the mining of cryptocurrency is a computationally intensive process with a growing ecological impact.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [23]

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

49 of 49
  • The paper relies on this without support.

    A sustainable Cloud is achievable, so that the ecological problem is a matter of will and imagination rather than an unavoidable consequence of design limits.

    “The case study illustrates that the ecological dynamics we find ourselves in are not entirely a consequence of design limits, but of human practices and choices-among individuals, communities, corporations, and governments-combined with a deficit of will and imagination to bring about a sustainable Cloud.”
1 of 1

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • A single data centre was spending as much electricity as 50,000 homes.

    “Cloud computing, an integral part of machine learning and GenAI systems, had a greater carbon footprint than the airline industry in 2022; notably, a single data centre was spending as much electricity as 50,000 homes (Monserrate, 2022).”
  • Cloud computing, an integral part of machine learning and GenAI systems, had a greater carbon footprint than the airline industry in 2022.

    “Cloud computing, an integral part of machine learning and GenAI systems, had a greater carbon footprint than the airline industry in 2022; notably, a single data centre was spending as much electricity as 50,000 homes (Monserrate, 2022).”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

  • Conflicting climate-neutral pledge dates

    Minor

    The text says the European data-center consortium promises climate neutrality by 2050, but the cited source's title says European cloud providers pledge to reach it by 2030.

1 of 1

Cites

Flagged first, then by citations

Research works printed but not linked: 41

  1. Gabrys, Jennifer. (2013). Digital Rubbish. University of Michigan Press.
  2. Haraway, Donna J. Staying with the Trouble. Durham, NC: Duke University Press, 2016.
  3. Hogan, Mél. "Big Data Ecologies." Ephemera 18, no. 3 (2018): 631-57. http://ephemerajournal.org/sites/default/files/pdfs/contribution/18-3hogan.pdf.
  4. Lisa Parks and Nicole Starosielski, 71-93. Champaign: University of Illinois Press.
  5. Walker, Janet, and Nicole Starosielski. Sustainable Media. New York: Routledge, 2016.
  6. Louise Amoore, "Cloud Geographies: Computing, Data, Sovereignty," Progress in Human Geography 42, no. 1 (2018): 4-24, https://doi.org/10.1177/0309132516662147; · DOI · Paper page
  7. Nathan Ensmenger and Rebecca Slayton, "Computing and the Environment," Information & Culture 52, no. 3 (2017): 295-303, https://doi.org/10.1353/lac.2017.0011. ↩ · DOI
  8. Nicole Starosielski, "Thermocultures of Geological Media," Cultural Politics 12, no. 3 (2016): 293-309, https://doi.org/10.1215/17432197-3648858; · DOI
  9. Nicole Starosielski, Media Hot and Cold (Durham, NC: Duke University Press, 2021). ↩
  10. Junaid Shuja et al., "Sustainable Cloud Data Centers: A Survey of Enabling Techniques and Technologies," Renewable and Sustainable Energy Reviews 62 (2016): 195-214, https://doi.org/10.1016/j.rser.2016.04.034; · DOI
  11. Julia Velkova, "Data That Warms: Waste Heat, Infrastructural Convergence, and the Computation Traffic Commodity," Big Data & Society 3, no. 2 (2016), https://doi.org/10.1177/2053951716684144; · DOI
  12. Mikko Wahlroos et al., "Future Views on Waste Heat Utilization: Case of Data Centers in Northern Europe," Renewable and Sustainable Energy Reviews 82 (2018): 1749-64, https://doi.org/10.1016/j.rser.2017.10.058. ↩ · DOI
  13. Tim Donaghy, Caroline Henderson, and Elizabeth Jardim, "Oil in the Cloud," Greenpeace, May 19, 2020, https://www.greenpeace.org/usa/reports/oil-in-the-cloud/, and Canay Özden-Schilling, The Current Economy: Electricity Markets and Technoeconomics (Stanford, CA: Stanford University Press, 2021). ↩
  14. Mél Hogan, "Big Data Ecologies," Ephemera 18, no. 3 (2018): 631-57, http://ephemerajournal.org/sites/default/files/pdfs/contribution/18-3hogan.pdf. ↩
  15. Nicola Jones, "How to Stop Data Centres from Gobbling Up the World's Electricity," Nature 561, no. 7722 (2018): 163-66, https://doi.org/10.1038/d41586- 018-06610-y. ↩ · DOI · Paper page
  16. Alix Johnson, "Data Centers as Infrastructural In-Betweens: Expanding Connections and Enduring Marginalities in Iceland," American Ethnologist 46, no. 1 (2019): 75-88, https://doi.org/10.1111/amet.12735; · DOI
  17. Jennifer Holt and Patrick Vonderau, "'Where the Internet Lives': Data Centers as Cloud Infrastructure," in Signal Traffic: Critical Studies of Media Infrastructures, ed. Lisa Parks and Nicole Starosielski (Champaign: University of Illinois Press), 71-93. ↩
  18. Burrington, "The Environmental Toll of a Netflix Binge"; Cook et al., "#ClickClean"; Jones, "How to Stop Data Centres from Gobbling Up the World's Electricity." These figures are far from comprehensive. Given that the data required to calculate the carbon emissions is often proprietary, scholars and activists can only draw upon publicly available records, documents, and data provided voluntarily by companies like Amazon and Google. Compare with the discussion in Jonathan Koomey and Eric Masanet, "Does Not Compute: Avoiding Pitfalls Assessing the Internet's Energy and Carbon Impacts," Joule 5, no. 7 (2021): 1625-28, https://doi.org/10.1016/j.joule.2021.05.007. ↩ · DOI · Paper page
  19. Peter Dauvergne, "Is Artificial Intelligence Greening Global Supply Chains? Exposing the Political Economy of Environmental Costs," Review of International Political Economy (2020), https://doi.org/10.1080/09692290.2020.1814381; · DOI · Paper page
  20. Peter Dauvergne, "The Globalization of Artificial Intelligence: Consequences for the Politics of Environmentalism," Globalizations 18, no. 2 (2021): 285-99, https://doi.org/10.1080/14747731.2020.1785670. ↩ · DOI · Paper page
  21. Lynn H. Kaack et al., "Aligning Artificial Intelligence with Climate Change Mitigation," preprint, submitted October 6, 2021, hal-03368037, https://hal.archives- ouvertes.fr/hal-03368037. See also Payal Dhar, "The Carbon Impact of Artificial Intelligence," Nature Machine Intelligence 2 (2020): 423-25, https://doi.org/10.1038/s42256-020-0219-9. ↩ · DOI · Paper page
  22. Hogan, "Big Data Ecologies." See also Mél Hogan, "Data Flows and Water Woes: The Utah Data Center," Big Data & Society (December 2015), https://doi.org/10.1177/2053951715592429. ↩ · DOI · Paper page
  23. Nathan Ensmenger, "The Environmental History of Computing," Technology and Culture 59, no. 4 (2018): S7-S33, https://doi.org/10.1353/tech.2018.0148. ↩ · DOI
  24. Renee Obringer et al., "The Overlooked Environmental Footprint of Increasing Internet Use," Resources, Conservation and Recycling 167 (2021): 105389, https://doi.org/10.1016/j.resconrec.2020.105389. ↩ · DOI
  25. Arline L. Bronzaft and Dennis P. McCarthy, "The Effect of Elevated Train Noise on Reading Ability," Environment and Behavior 7, no. 4 (1975): 517-28, https://doi.org/10.1177/001391657500700406; · DOI
  26. Arline L. Bronzaft, "Impact of Noise on Health: The Divide between Policy and Science," Open Journal of Social Sciences 5, no. 5 (2017): 108-20, https://doi.org/10.4236/jss.2017.55008; · DOI
  27. Abotutu Ahi Abel, "Urban Noise Pollution in Nigerian Cities: Imperatives for Abatement," Current Journal of Applied Science & Technology 10, no. 6 (2015): 1-9, https://doi.org/10.9734/BJAST/2015/18466; · DOI
  28. Malik Muhammad Anees, Muhammad Qasim, and Aroj Bashir, "Physiological and Physical Impact of Noise Pollution on Environment," Earth Science Pakistan 1, no. 1 (2017): 8-11, https://doi.org/10.26480/esp.01.2017.08. · DOI
  29. See also Nathaniel Lee, David Anderson, and Jessica Orwig, "Noise Pollution Is a Bigger Threat to Your Health Than You May Think, and Americans Aren't Taking It Seriously," Business Insider, January 26, 2018, https://www.businessinsider.com/noise-pollution-effects-human-hearing-health- quality-of-life-2018-1. ↩ · DOI
  30. Jennifer C. Hsieh, "Making Noise in Urban Taiwan: Decibels, the State, and Sonosociality," American Ethnologist 48, no. 1 (2021): 51-64, https://doi.org/10.1111/amet.13003. ↩ · DOI
  31. Paul Dourish, The Stuff of Bits: An Essay on the Materialities of Information (Cambridge, MA: MIT Press, 2017);
  32. Jennifer Gabrys, Digital Rubbish (Ann Arbor: University of Michigan Press, 2013);
  33. Ensmenger and Slayton, "Computing and the Environment"; Boy Lüthje and Florian Butollo, "Why the Foxconn model Does Not Die: Production Networks and Labour Relations in the IT Industry in South China," Globalizations 14, no. 2 (2017): 216-31, https://doi.org/10.1080/14747731.2016.1203132. ↩ · DOI
  34. Ruha Benjamin, "Racial Fictions, Biological Facts: Expanding the Sociological Imagination through Speculative Methods," Catalyst: Feminism, Theory, Technoscience 2, no. 2 (2016): 1-28, on 2, https://doi.org/10.28968/cftt.v2i2.28798. ↩ · DOI
  35. Casey Fiesler, "Ethical Considerations for Research Involving (Speculative) Public Data," Proceedings of the ACM on Human-Computer Interaction 3 (December 2019), 249, https://doi.org/10.1145/3370271; · DOI
  36. Casey Fiesler, "Innovating Like an Optimist, Preparing Like a Pessimist: Ethical Speculation and the Legal Imagination," Colorado Technology Law Journal 19, no. 1 (2021): 1-18, https://ctlj.colorado.edu/?p=696. ↩
  37. Paul J. Crutzen, "The 'Anthropocene,'" in Earth System Science in the Anthropocene, ed. Eckart Ehlers and Thomas Krafft (Berlin: Springer, 2006), 13-18. ↩
  38. Jason W. Moore, "The Capitalocene, Part I: On the Nature and Origins of Our Ecological Crisis," Journal of Peasant Studies 44, no. 3 (2017): 594-630, http://dx.doi.org/10.1080/03066150.2016.1235036; · DOI
  39. Donna Haraway, Staying with the Trouble (Durham, NC: Duke University Press, 2016);
  40. McKenzie Wark, Molecular Red: Theory for the Anthropocene (New York: Verso, 2015); and Kathryn Yussoff, A Billion Black Anthropocenes or None (Minneapolis: University of Minnesota Press, 2018). ↩
  41. Steven Gonzalez Monserrate, "Silicon Fox," Anthropology and Humanism 45, no. 1 (2020): 130-38, https://doi.org/10.1111/anhu.12276. · DOI

Cited by

Sorted by citations

Authors
Monserrate, S. G.
Affiliations
Massachusetts Institute of Technology (US)
Corresponding author
Monserrate, Steven Gonzalez
Venue
MIT Case Studies in Social and Ethical Responsibilities of Computing
Publisher
PubPub
Published
2022-01-27
Issue
Winter 2022
OpenAlex
W4210572958
Cited by
145
References
45
Citations by year
2026: 47 · 2025: 34 · 2024: 27 · 2023: 35 · 2022: 2
FWCI
6.56
Type
journal article
Language
en
Open access
Licence
cc-by-sa
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Green IT and Sustainability
  • Physical Sciences › Computer Science › Information Systems › Cloud Computing and Resource Management
  • Physical Sciences › Computer Science › Hardware and Architecture › Energy Efficiency in Computing
Keywords
cloud computing, data centers, CO2 emissions, climate change, thermal management, water consumption, e-waste disposal, organizational culture, Anthropocene, IT infrastructure

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-30.

Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-30.

Statistics and arithmetic are recomputed, not judged.

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