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This World Economic Forum white paper, in collaboration with McKinsey & Company, explores how artificial intelligence (AI) can drive decarbonization in global freight logistics. It highlights AI's potential to enhance operational efficiencies, improve capacity utilization, and optimize modal shifts to lower-carbon transportation methods. The report suggests that widespread AI adoption could reduce freight logistics emissions by 10-15%. It emphasizes the need for behavior changes, industry collaboration, and leadership vision to unlock AI's full potential. The paper identifies practical actions for businesses, policymakers, and investors to accelerate AI implementation and achieve sustainability goals. It also acknowledges the importance of responsible AI usage, considering the energy consumption of AI technologies themselves. The paper concludes that AI offers significant cost savings and decarbonization opportunities, positioning early adopters for a competitive edge in a climate-conscious market.
This World Economic Forum white paper, in collaboration with McKinsey & Company, explores how artificial intelligence (AI) can drive decarbonization in global freight logistics. It highlights AI's potential to enhance operational efficiencies, improve capacity utilization, and optimize modal shifts to lower-carbon transportation methods. The report suggests that widespread AI adoption could reduce freight logistics emissions by 10-15%. It emphasizes the need for behavior changes, industry collaboration, and leadership vision to unlock AI's full potential. The paper identifies practical actions for businesses, policymakers, and investors to accelerate AI implementation and achieve sustainability goals. It also acknowledges the importance of responsible AI usage, considering the energy consumption of AI technologies themselves. The paper concludes that AI offers significant cost savings and decarbonization opportunities, positioning early adopters for a competitive edge in a climate-conscious market.