Company AI Risk Explorer
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Welcome to the Company AI Risk Explorer

This tool maps what large global companies say in public about AI risk. We reviewed public documents from roughly 200 of the world's largest companies. We coded every risk they acknowledge against the AI Risk Repository taxonomy.

Filter by company, sector, AI role, or risk. Compare what companies acknowledge against expert ratings of severity, sector vulnerability, and role responsibility.

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Environmental harm

The development and operation of AI systems causing environmental harm, such as through energy consumption of data centers, or material and carbon footprints associated with AI hardware.

22 of the world's largest companies we reviewed acknowledge the AI risk "Environmental harm", including Alphabet (Google), SAP and Salesforce.

Which companies acknowledge this risk?

  • Alphabet (Google): “our total scope 3 (ambition-based) emissions increased by 22%, primarily due to increases in data center capacity delivery (i.e., emissions generated from the manufacturing and assembly of technical infrastructure hardware-including for AI-and their logistics, as well as from data center construction)” (Google's 2025 Environmental Report)
  • SAP: “the growing demand for energy due to the increasing use of artificial intelligence could have a negative impact on GHG emissions in the upstream supply chain” (SAP Integrated Report 2025)
  • Salesforce: “AI-driven data center demand surge The rapid adoption of AI technology brings uncertainty to our data center emissions… the timing and scale of customer AI use… may significantly affect our emissions footprint.” (FY25 Stakeholder Impact Report)
  • Commonwealth Bank of Australia: “As digitisation accelerates, the demand for electricity will continue to grow. It is important to recognise and address the environmental impacts of AI, particularly related to energy and water use.” (2025 Annual Report - CommBank)
  • Intel: “We have to consider the threat that increased demand for AI compute will have on the simultaneous increase in energy requirements.” (Intel Responsible AI - E Book - Rev 2.6)
  • QUALCOMM: “AI systems can consume significant amounts of energy, contributing to carbon emissions and environmental impact.” (Shaping the future of AI responsibly | Nasdaq | Qualcomm)
  • IBM: “Impact on Environment: AI, and large generative models in particular, may produce increased carbon emissions and increase water usage for their training and operation.” (Foundation models: Opportunities, risks and mitigations)
  • Nomura Research Institute: “The ICT industry has high CO₂ emissions and therefore great responsibility regarding climate change, which is a negative externality... As a corporate group that promotes DX and the use of AI, our impact on climate change and our responsibility will increase as our business expands in the future.” (NRI - ESG Databook 2025)
  • AMD: “The next wave of AI breakthroughs holds tremendous promise... But these advances bring new demands on global energy systems” (2024-25 corporate responsibility report | amd)
  • Applied Materials: “technologies like AI and edge computing offer unprecedented possibilities, but leveraging them responsibly means dealing first with their power consumption. With current technology, today’s datacenters consume about 2% of the world’s electricity - a figure that could jump to 15% by 2025” (2019 Sustainability Report)
  • Intuit: “monitoring potential future impacts to our emissions due to our increased use of AI and the cloud computing power it requires” (Intuit FY24 Stakeholder Impact Report)
  • NVIDIA: “supplying them with the electricity they will need isn't sustainable with today's energy infrastructure. A single AI factory can draw 100 to 200 megawatts” (NVIDIA Sustainability Report Fiscal Year 2025)
  • ServiceNow: “Environmental sustainability and AI: AI's growth demands responsible energy and water management.” (ServiceNow Global Impact Report 2025)
  • Advantest: “By 2030, AI data centers are predicted to consume nearly 1 petawatt-hour of electricity. This is an enormous amount of energy, exceeding the total electricity consumption of Japan today.” (Integrated Annual Report 2025 | Advantest)
  • Baidu: “The rapid development of LLMs has significantly increased the demand for computing power, resulting in higher energy consumption. This presents a challenge to Baidu's efforts to develop low-carbon technologies for its data centers.” (Baidu 2025 Environmental, Social and Governance Report)
  • JPMorgan Chase: “rising energy demand from data centers driven by artificial intelligence is expected to influence our ability to meet our Electric Power target in the future” (JP Morgan Chase 2024 ESG report)
  • Renesas Electronics: “minimizes the environmental and social impacts of data collection, storage, transmission and processing” (Renesas Data and AI Principles | Renesas)
  • Roche: “Roche is committed to reducing the negative impact of our AI systems on the environment... data is processed efficiently across the life cycle to ensure a small carbon footprint.” (Roche Artificial Intelligence (AI) Ethics Principles)
  • Safran: “Safran is aware that the development of AI raises specific challenges, including resource consumption” (Safran 2026 AGM Answers to Written Questions)
  • Samsung: “the rapid advancement of AI technology and the growth of the IT industry have led to significant increases in energy consumption and carbon emissions in data centers and other sectors.” (Samsung Electronics Sustainability Report 2025)
  • Tencent: “The acceleration of AI applications in 2024 has imposed higher demands on the computational load and power density of data centres and led to increased energy consumption.” (Tencent environmental, social and governance report 2024)
  • Visa: “As we scale our AI capabilities, the energy required to power these solutions will increase.” (Visa 2025 Corporate Responsibility and Sustainability Report)