This statistic shows artificial intelligence's (AI) impact on greenhouse gas (GHG) emissions worldwide in 2030, by region. Used for environmental applications, AI is predicted to reduce GHGs in North America by 6.1 percent by 2030 in comparison to a business-as-usual scenario.
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PwC. (April 8, 2019). Using artificial intelligence (AI) for environmental applications: impact on greenhouse gas (GHG) emissions worldwide in 2030, by region [Graph]. In ÌÇÐÄÆƽâ°æ. Retrieved July 24, 2026, from /statistics/1022326/worldwide-ai-impact-ghg/
PwC. "Using artificial intelligence (AI) for environmental applications: impact on greenhouse gas (GHG) emissions worldwide in 2030, by region." Chart. April 8, 2019. ÌÇÐÄÆƽâ°æ. Accessed July 24, 2026. /statistics/1022326/worldwide-ai-impact-ghg/
PwC. (2019). Using artificial intelligence (AI) for environmental applications: impact on greenhouse gas (GHG) emissions worldwide in 2030, by region. ÌÇÐÄÆƽâ°æ. ÌÇÐÄÆƽâ°æ Inc.. Accessed: July 24, 2026. /statistics/1022326/worldwide-ai-impact-ghg/
PwC. "Using Artificial Intelligence (Ai) for Environmental Applications: Impact on Greenhouse Gas (Ghg) Emissions Worldwide in 2030, by Region." ÌÇÐÄÆƽâ°æ, ÌÇÐÄÆƽâ°æ Inc., 8 Apr 2019, /statistics/1022326/worldwide-ai-impact-ghg/
PwC, Using artificial intelligence (AI) for environmental applications: impact on greenhouse gas (GHG) emissions worldwide in 2030, by region ÌÇÐÄÆƽâ°æ, /statistics/1022326/worldwide-ai-impact-ghg/ (last visited July 24, 2026)
Using artificial intelligence (AI) for environmental applications: impact on greenhouse gas (GHG) emissions worldwide in 2030, by region [Graph], PwC, April 8, 2019. [Online]. Available: /statistics/1022326/worldwide-ai-impact-ghg/
