Information Technology Factsheet

Information and communication technology (ICT) includes personal and business computers, smartphones, data centers, connectivity networks, and emerging technologies such as artificial intelligence (AI) and cryptocurrency. See AI Factsheet. As the sector expands, its growing energy and water use poses challenges to meeting global climate goals.1 

Patterns of Use

  • In 2023, 5.4B people (67% of the world’s population) were online, a 45% increase since 2018.2
  • In 2021, 90% of U.S. households had a smartphone, 81% owned a desktop or laptop, 64% had a tablet, and 90% subscribed to broadband internet.7 Globally, more people have mobile phones than access to safe sanitation.5
  • Global smartphone sales peaked at 1.6B units in 2018 and decreased to 1.3B units by 2023.4
  • In 2022, global sales of mobile phones, tablets, and PCs totaled 1.8B units, a 12% decline from 2021.3 AI PC shipments, however, are projected to total 114M, up 166% from 2024, and reach 43% of total PC market share in 2025.10
  • 33% of global data centers are located in the U.S., 16% in Europe, and 10% in China.8 Virginia, Texas, and California accounted for 43% of 2023 U.S. data center load.9 Electricity demand increased by 14 TWh in Virginia and 13 TWh in Texas, across the other 40 states it fell by 28 TWh.11
  • From 2021 to 2024, data centers and telecom networks accounted for 13% of electricity demand growth in the buildings sector and 4% of global electricity demand. Data centers alone made up 3%11 and are expected to drive an increase in summer peak electricity load from 151 GW to 178 GW by 2034.8
  • Data center electricity demand is 40% from computing, 40% from cooling, and 20% from other IT equipment.8 Power Usage Effectiveness (PUE) quantifies data center energy efficiency by dividing total facility energy use by the energy used solely for IT equipment. The U.S. average annual PUE declined from 2.5 in 2007 to 1.6 in 2023.9
     

Energy and Environmental Impact

  • Computer electricity use varies by age, hardware, and user habits. Desktops use 65–250 W per hour active and 1–6 W in sleep mode. Laptops use 20–50 W when active.13 An LCD monitor uses 20-40 W per hour on, and 2 W in standby.11
  • Each ChatGPT request uses 2.9 Wh of electricity, while a standard Google search uses 0.3 Wh.12
  • Over a 3-year lifespan, a typical computer uses 4,222 kWh of energy, with 34% from the use phase.15
     
Estimated Electricity Use Per Request (Wh/request)12
  • A desktop system has a carbon footprint of 679 kg CO₂e while a laptop’s is 286 kg CO₂e, with over 75% from production. End-of-life disposal contributes less than 1% of total GHG emissions for both.26
  • In 2022, the ICT sector used 1,183 TWh of electricity, up 8.2% from 2020, driven by data centers.1 Data centers used 240-340 TWh of electricity, 1.3% of the global total,17 while cryptocurrency mining used 67-240 TWh.18
  • The ICT sector’s global carbon emissions were 567 Mt CO₂e in 2022, 1.7% of the world total.1 Cryptocurrency mining emitted 90 Mt CO₂e in 2024.19 Electricity used for AI, cryptocurrency, and data centers could exceed 1000 TWh by 2026.8
  • In 2023, U.S. data centers used 150 TWh of electricity, equivalent to the annual use of 14M households.9 This results in 57 Mt CO₂e emissions annually, 0.9% of the U.S. total.9,20,21
  • Data centers used 26% of Virginia’s electricity in 2023, the highest among U.S. states.9
  • Data centers are among the top-ten commercial/industrial U.S. water users. Their operational water footprint in 2018 was 136B gal/yr, with 75% from electricity and 25% from onsite use. One-fifth of onsite use occurs in water stressed regions, nearly half of data centers use electricity from these regions.25
  • Between 2019 and 2023, Google’s carbon emissions rose nearly 50%,23 while Microsoft’s grew 25% since 2020—largely due to data center expansion.22
  • Electricity use by telecom operators rose 7% from 2020 to 2022, reaching 258 TWh. Due to cleaner energy grids, this increase did not result in a proportional rise in emissions.1
     
GHG Emissions for Electronic Products (kg CO2e)56
Image
GHG Emissions for Electronic Products
ICT Sector GHG Emissioons and Electricity Use1

Electronic Waste

  • In 2022, 62 Mt of e-waste was generated globally, equivalent to 1.55M 40-t trucks. Only 22% was recycled. Global e-waste is projected to increase to 82 Mt by 2030.28
  • In 2022, 800M kg of uncontrolled e-waste and used electronics were exported to developing countries. The Americas, primarily the U.S., were responsible for 388M kg of these exports.28
  • The U.S. generated 7.2 Mt of e-waste in 2022, 56% was recycled.28 Up to 29% of the 40M computers retired in the U.S. were exported in 2010.29
  • Printed circuit boards used in mobile electronics are made of polymers and copper, with trace amounts of precious metals Ag, Au, and Pd, and toxic metals As, Be, Cr, and Pb.32
  • 1 t of printed circuit boards has more precious metals than 1 t of mined ore.33
     
Material Composition of a Desktop Computer55
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Material Composition of a Desktop Computer

Paper Industry

  • In 2023, global paper and paperboard production fell slightly from 413 Mt in 2022 to 400 Mt. China is the largest producer, accounting for 33% of the world total, followed by the U.S. with 15% of world total, or 61 Mt, a 19% decline from 2012.34
  • Global paper use has grown by 400% over the past 40 years. Packaging accounts for the largest share.27,30
  • China and the U.S. together accounted for nearly half of global paper and paperboard use in 2023.35  The U.S. alone uses 30% of the global paper supply.30
  • Producing 1 t of paper uses 12 to 24 trees.37
  • In 2023, GHG emissions of the U.S. pulp and paper industry were 32 Mt CO₂e,38 equivalent to the annual carbon sequestered by 32M acres of U.S. forests.39

Sustainable Alternatives

Technology

  • AI supports sustainability through energy and resource optimization, grid management, disaster response, climate modeling, and ecological forecasting.40 Optimization could cut the carbon footprint of AI training by up to 75%.36
  • Virtualization enables one physical server to run multiple programs or operating systems,41 reducing the number of servers needed and improving utilization,42 cutting data center costs and environmental impact.43
  • Data center efficiency can be improved using combined heat and power systems. Waste heat from electricity generation can be repurposed by on-site chillers to cool the facility.44
  • 3D printing could cut global energy use by 5–27% by 2050.45
  • Telecommuting (working from home) reduces transportation-related energy use, though some gains are offset by increased home energy demand.46 This has resulted in a 13% reduction in work-related energy use and a 14% reduction in GHG emissions in response to COVID in 2020 across the U.S.47
     

Take Action

  • The ICT sector accounted for 60% of renewable power purchases in 2021.1
  • Choose Energy Star certified devices and use The Electronic Product Environmental Assessment Tool ratings to assess environmental impacts. If all U.S. servers met Energy Star standards, $1B in energy costs and 8.2 Mt of GHG emissions would be avoided yearly.48
  • Devices in standby mode account for 5-10% of residential energy use. Unplug electronic devices when not in use, or plug them into a power strip and turn that off.49 Turning off an idle desktop can save 675 kWh (an average of $90), and 520 lbs of CO₂e annually.13,20,50
  • Use power management features—sleep mode can save up to $30 a year, reduce heat, and extend device lifespan. The U.S. Department of Energy recommends enabling sleep mode after 20 minutes of inactivity and powering down after 2 hours of inactivity.51
  • Avoid unnecessary printing and print double-sided on recycled paper if necessary.52
  • Extend the life of personal computers to delay the energy and materials burdens associated with making new equipment.15
  • To prolong battery life, avoid extreme temperatures, fast charging/discharging, and time spent at 0% or 100% charge.53
  • Recycle your unused electronics. Responsible Recycling (R2) and e-Stewards offer third-party certification for electronics recyclers to ensure the proper disposal of used electronics.54
     
Cite As

Center for Sustainable Systems, University of Michigan. 2025. “Information Technology Factsheet.” Pub. No. CSS09-07.

1           The World Bank, ITU (2024) Measuring the Emissions & Energy Footprint of the ICT Sector: Implications for Climate Action      

https://documents1.worldbank.org/curated/en/099121223165540890/pdf/P17859712a98880541a4b71d57876048abb.pdf

2           ITU (2024) Measuring digital development, Facts and Figures 2023         

https://documents1.worldbank.org/curated/en/099121223165540890/pdf/P17859712a98880541a4b71d57876048abb.pdf

3           Gartner (2023) Gartner Forecasts Worldwide Device Shipments to Decline 4% in 2023    

https://www.gartner.com/en/newsroom/press-releases/2023-01-31-gartner-forecasts-worldwide-device-shipments-to-decline-four-percent-in-2023

4           Statista (2024) "Number of smartphones sold to end users worldwide from 2007 to 2023."             

https://www.statista.com/statistics/263437/global-smartphone-sales-to-end-users-since-2007/

5           GSMA (2025) The Mobile Economy 2025.   

https://www.gsma.com/solutions-and-impact/connectivity-for-good/mobile-economy/

6           World Health Organization (2023) Progress on Household Drinking Water, Sanitation and Hygiene: 2000-2022.            

https://www.who.int/publications/m/item/progress-on-household-drinking-water--sanitation-and-hygiene-2000-2022---special-focus-on-gender

7           U.S. Census Bureau (2024) Computer and Internet Use in the United States: 2021              

https://www2.census.gov/library/publications/2024/demo/acs-56.pdf

8           IEA (2024) Electricity 2024, Analysis and Forecast to 2026        

https://iea.blob.core.windows.net/assets/6b2fd954-2017-408e-bf08-952fdd62118a/Electricity2024-Analysisandforecastto2026.pdf

9           EPRI (2024) Powering Intelligence, Analyzing Artificial Intelligence and Data Center Energy Consumption             

https://www.epri.com/research/products/000000003002028905

10         Gartner (2024) Forecasts Worldwide Shipments of AI PCs to Account for 43% of All PCs in 2025    

https://www.gartner.com/en/newsroom/press-releases/2024-09-25-gartner-forecasts-worldwide-shipments-of-artificial-intelligence-pcs-to-account-for-43-percent-of-all-pcs-in-2025

11         IEA (2025) Electricity 2025, Analysis and Forecast to 2027        

https://www.iea.org/reports/electricity-2025

12         de Vries, A. (2023). The growing energy footprint of artificial intelligenc        

https://www.cell.com/joule/fulltext/S2542-4351(23)00365-3?campaign_id=54&emc=edit_clim_20231010&instance_id=104844&nl=climate-forward&regi_id=83786133&segment_id=146965&te=1&user_id=94f112d8dbca0900049f01ae40d0df78

13         Access Tufts (2021) Guidelines for Computer Power Management at Tufts       

https://access.tufts.edu/saveenergy

15         Keoleian, G. and D. Spitzley (2006) Life Cycle Based Sustainability Metrics. Sustainability Science and Engineering.     

http://dx.doi.org/10.1016/S1871-2711(06)80014-0

17         IEA (2023) Data Centres and Data Transmission Networks         

https://www.iea.org/energy-system/buildings/data-centres-and-data-transmission-networks#tracking

18         U.S. EIA (2024) Tracking electricity consumption from U.S. cryptocurrency mining operations      

https://www.eia.gov/todayinenergy/detail.php?id=61364&mkt_tok=MjExLU5KWS0xNjUAAAGUWtJm5sbch9UuIjvzZbkvej5XjfxD9Lbume5B94Y-mu-YyHmCsmbRa8hQlufnBoRbbep2ENAoVcD260GNsnFQ6XGiNrfrTeS25VKoWsihT-NEopk#

19         CBECI (2025) Bitcoin_Greenhouse Gas Emissions_Comparisons     

https://ccaf.io/cbnsi/cbeci/ghg/comparisons

20         U.S. EPA (2025) Emissions & Generation Resource Integrated Database (eGRID) 2023              

https://www.epa.gov/egrid/download-data

21         U.S. EPA (2024) Inventory of U.S. Greenhouse Gas Emissions and Sinks: 1990-2022, Executive Summary    

https://www.epa.gov/ghgemissions/inventory-us-greenhouse-gas-emissions-and-sinks-1990-2022

22         World Economic Forum (2024) AI and energy: Will AI help reduce emissions or increase demand? Here's what to know.    

https://www.weforum.org/agenda/2024/07/generative-ai-energy-emissions/

23         Google (2024) Environmental Report 2024    

https://www.gstatic.com/gumdrop/sustainability/google-2024-environmental-report.pdf

24         "Microsfoft (2025) 2025 Environmental Sustainability Report"            

https://query.prod.cms.rt.microsoft.com/cms/api/am/binary/RW1lMjE

25         Siddik, M. A. B., Shehabi, A., & Marston, L. (2021). The environmental footprint of data centers in the United States 

https://iopscience.iop.org/article/10.1088/1748-9326/abfba1?_sp=b48260d8-0a7b-4784-9d4b-0e1ac60ee727

26         Ferreira M. et al, (2025) Environmental and Economic Assessment of Desktop vs. Laptop Computers A Life Cycle Approach

https://www.mdpi.com/2071-1050/17/10/4455

27         STATISTA (2025) Paper consumption worldwide from 2021 to 2023, with forecasts until 2032        

https://www.statista.com/statistics/1089078/demand-paper-globally-until-2030/#statisticContainer

28         United Nations Institute for Training and Research (UNITAR) (2024) The Global E-Waste Monitor 2024  

https://ewastemonitor.info/the-global-e-waste-monitor-2024/

29         Kahhat, R. and E. Williams (2012) “Materials flow analysis of e-waste: Domestic flows and exports of used computers from the United States” Resources, Conservation and Recycling, 67: 67-74. 

http://www.sciencedirect.com/science/article/pii/S0921344912001383#

30         EPA (2025) Identifying Greener Paper              

https://www.epa.gov/greenerproducts/identifying-greener-paper

32         Holgersson, S., et al. (2016) "Analysis of the metal content of small-size Waste Electric and Electronic Equipment (WEEE) printed circuit boards—part 1: Internetrouters, mobile phones and smartphones." Resources, Conservation and Recycling (2017): 1-9.    

http://www.sciencedirect.com/science/article/pii/S0921344917300551

33         "Betts, K. (2008) Producing usable materials from e-waste. Environmental Science & Technology."          

http://pubs.acs.org/doi/pdf/10.1021/es801954d

34         FAOSTAT (2025) Forestry Production and Trade - Paper and Paperboard World            

https://www.fao.org/faostat/en/#data/FO

35         STATISTA (2025) Paper consumption by country 2023  

https://www.statista.com/statistics/240565/consumption-volume-of-paper-and-paperboard-in-selected-countries/

36         You, J. et al (2023) Zeus Understanding and Optimizing GPU Energy Consumption of DNN Training 

https://www.usenix.org/conference/nsdi23/presentation/you

37         Conservatree (2012) “Trees into Paper.”              

http://www.conservatree.org/learn/EnviroIssues/TreeStats.shtml

38         U.S. EPA (2024) Greenhouse Gas Reporting Program Pulp and Paper. 

https://www.epa.gov/ghgreporting/ghgrp-pulp-and-paper

39         U.S. EPA (2025) Greenhouse Gas Equivalencies Calculator.     

https://www.epa.gov/energy/greenhouse-gas-equivalencies-calculator

40         UPenn Environmental Innovation Initiative (2024 ) AI and environmental challenges      

https://environment.upenn.edu/events-insights/news/ai-and-environmental-challenges

41         Energy Star (2020) “Server Virtualization.”

https://www.energystar.gov/products/low_carbon_it_campaign/12_ways_save_energy_data_center/server_virtualization

42         Ruest, N. and D. Ruest (2009) Virtualization, A Beginner’s Guide. McGraw-Hill Osborne Media.          

43         Energy Star (2020) “Server Virtualization.”            

https://www.energystar.gov/products/low_carbon_it_campaign/12_ways_save_energy_data_center/server_virtualization

44         U.S. EPA (2008) The Role of Distributed Generation and Combined Heat and Power Systems in Data Centers.     

https://www.epa.gov/sites/production/files/2015-07/documents/the_role_of_distributed_generation_and_combined_heat_and_power_chp_systems_in_data_centers.pdf

45         Verhoef, Leendert A., et al. (2018) The effect of additive manufacturing on global energy demand: An assessment using a bottom-up approach.             

https://www.sciencedirect.com/science/article/pii/S0301421517306997

46         O'Brien, W. & F. Aliabadi (2020) Does telecommuting save energy? A critical review of quantitative studies and their research methods. Energy and Buildings, Article 110298.              

https://www.sciencedirect.com/science/article/pii/S0378778820317710

47         Li, J., et al. (2022) "Assessing a Post COVID World: Energy and Emission Impacts of Telecommuting"         

https://css.umich.edu/publications/research-publications/assessing-post-covid-world-energy-and-emission-impacts

48         Energy Star (2020) “Enterprise Servers.”              

https://www.energystar.gov/products/data_center_equipment/enterprise_servers

49         LBNL (2019) "Standby Power: Frequently Asked Questions."           

https://standby.lbl.gov/frequently-asked-questions

50         EIA (2025) Electric Power Monthly   

https://www.eia.gov/electricity/monthly/epm_table_grapher.php?t=epmt_5_6_a

51         DOE (2025) Energy Efficient Computers, Home Office Equipment, and Electronics  

https://www.energy.gov/energysaver/energy-efficient-computers-home-office-equipment-and-electronics

52         Environmental Paper Network (2008) Increasing Paper Efficiency. 

https://s3.amazonaws.com/EPNPaperCalc/documents/paper-efficiency-fact-sheet.pdf

53         Woody, M., et al. (2020) Strategies to limit degradation and maximize Li-ion battery service lifetime - Critical review and guidance. Journal of Energy Storage, 28, 2020.             

https://www.sciencedirect.com/science/article/pii/S2352152X19314227

54         U.S. EPA (2019) “Certified Electronics Recyclers.”

https://www.epa.gov/smm-electronics/certified-electronics-recyclers

55         US EPA (2023) WARM Version 16 - Electronics LCA          

https://www.epa.gov/system/files/documents/2023-12/warm_electronics_v16_dec.pdf

56         Lovehagen, N. et al (2023) Assessing embodied carbon emissions of communication user devices by combining approaches    

https://doi.org/10.1016/j.rser.2023.113422

 

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