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The study examines three scenarios for greening data centres at Dalhousie University, the University of Ottawa, and the University of Alberta. It finds that relocating to remote renewable sites (Scenario 1) or urban low-emission grids (Scenario 2) is economically unviable due to high capital costs. Only on-site waste heat recovery (Scenario 3) showed a positive net present value for one institution. The report suggests a 'green community cloud' managed by CANARIE as a more viable alternative to individual university efforts.

The report argues that while ICT innovation is a primary driver of global economic growth and productivity, it creates significant sustainability challenges through rapid hardware obsolescence, increasing energy demands of data centres, and a global e-waste crisis. It proposes viewing the sector as a 'Global Connectivity System' that includes not only manufacturers but also standards bodies, civil society, and end-users. The document highlights the tension between the Internet's origins as an open, participatory tool for social organization and emerging trends toward corporate control, government surveillance, and restrictive intellectual property rights.

The document argues that the rapid growth of generative AI is driving a significant increase in electricity demand, which threatens climate goals by incentivising the continued use of fossil fuels and diverting clean energy resources. It highlights a lack of transparency in corporate emissions reporting, where 'market-based' accounting masks actual grid impacts, and warns that 'moonshot' technology promises like nuclear fusion may act as mitigation deterrence. Specific examples include data centre growth in Ireland and Malaysia, and the rising emissions profiles of companies like Microsoft and Google.

The letter argues that large language models (LLMs) increase carbon emissions through high energy demands and accelerate the spread of climate disinformation. It calls for mandatory reporting on energy use, emissions, and critical mineral consumption, as well as safeguards against AI-generated disinformation.

The Canadian Association of Physicians for the Environment warns that gas-powered data centres in Alberta pose significant health risks, including air pollution from nitrogen oxides and volatile organic compounds, noise pollution, and contamination from PFAS. The document highlights that these facilities place additional strain on water security and already overburdened rural healthcare systems, particularly affecting vulnerable populations such as children, older adults, and those with chronic illnesses.

The document is a student guide designed to facilitate classroom conversations, small group discussions, or writing prompts based on 90-second radio stories from Yale Climate Connections. It provides a structured set of questions divided into categories such as general impressions, making connections, finding and evaluating solutions, justice and equity, and climate communication in action. Additionally, it lists suggested radio stories categorized by topics including energy, health, policy and politics, and species and ecosystems, and offers extension activities for deeper research and analysis.

The document outlines how data centers can increase electricity demand flexibility by shifting workloads, reducing operations, or using onsite storage. It highlights that without policy changes, data center growth could lead to 25-50 GW of additional fossil generation by 2030. Conversely, curtailing just 0.5 percent of annual electricity use could allow 100 GW of load to be added nationwide without new peak resources. Proposed policy tools include tying tax incentives to demand response participation, enabling faster interconnection for flexible facilities, and implementing utility rates that align costs with system impact.

The report identifies a 300,000 GWh annual electricity saving potential in the U.S. industrial sector by closing the productivity gap between the lowest and highest performing states. It argues that while exogenous factors like electricity prices play a role, the primary constraints are endogenous barriers such as poor understanding of efficiency potential, fossilized design paradigms, and capital constraints. Through case studies in high technology, oil and gas, and food production, the authors demonstrate that holistic design and overcoming these barriers can significantly reduce energy use and costs. The document concludes that policymakers should provide low-cost capital and education to incentivize efficiency measures that benefit society but may be NPV neutral for individual firms.

Ghana faces significant cooling deficits across agriculture, healthcare, and urban environments. In the food sector, 3.2 million tons of food are lost annually, while the healthcare cold chain is hampered by unreliable electricity and a lack of refrigerated transport. Urban areas, particularly Accra, suffer from the urban heat island effect, with 85% of air conditioners being of the lowest energy efficiency category, disproportionately affecting vulnerable populations and women.

Kenya faces significant cooling challenges, with 40% of agricultural produce lost annually due to inadequate cold chains and government health facilities seeing minimal electricity access improvements (69% to 70% between 2016 and 2021). While the cold chain market is projected to reach USD 2.1 billion by 2030, the sector is hindered by fragmented infrastructure and high costs for small-scale farmers. In the health sector, the Ministry of Health aims to equip all facilities with optimal Cold Chain Equipment by 2026, having already deployed 8,342 refrigerators. Urban areas like Mombasa and Nairobi's Kibera settlement suffer from the urban heat island effect and poor building design, with 90% of available air conditioners being low-efficiency models. Additional cooling needs are identified in data centres and planned nuclear power plants in Kilifi and Kwale.

The report examines the 'gender-energy nexus' in the era of AI, highlighting how the digital gender divide and energy poverty disproportionately affect women. It identifies critical challenges, including gender bias in AI development, a deficit of sex-disaggregated energy data, and the risk of AI data centres diverting resources from low-income communities. The authors argue that while AI can optimize energy systems, its current development lacks gender diversity and funding for SDG5 (Gender Equality). The report recommends increasing women's representation in STEM, implementing gender-lens investing, and ensuring women are decision-makers in AI and energy policy to achieve a just transition.