Intelligent Transport Greener Future 2025

Page 20 of 33 · WEF_Intelligent_Transport_Greener_Future_2025.pdf

Critical actions needed to embrace the AI opportunity Maximizing the power of AI to help decarbonize freight logistics will take changes in behaviour, collaboration across the ecosystem and commitment from business leaders. 4 Behaviour change is key to maximizing the impact of AI4.1 Despite end-consumers, business customers and regulators signalling a desire for lower emissions, the green logistics market remains in its early stages. Research shows that over 67% of logistics customers are unwilling to pay more than a 10% premium for greener options, with only 10% willing to pay a 20% premium.28 On the corporate side, internal incentives often need to align more closely with stated sustainability targets, but as companies approach deadlines for their net-zero commitments, we are seeing a gradual shift. The green logistics market is estimated to grow from $50 billion in 2025 to $350 billion by 2030, indicating a growing demand for greener solutions.29 What sets AI applications apart from traditional sustainability strategies is their ability to deliver results without requiring immediate behavioural shifts from consumers or corporate clients. AI- driven improvements do not rely on convincing customers to pay more for sustainable choices. However, maximizing any AI-powered gains will still require some mindset and behavioural shifts at the end-user level. For example, live recommendations from an AI-powered truck maintenance system on braking would still require drivers to change their behaviour. Similarly, consumers could be encouraged to play their part by not opting for same-day delivery for less urgent purchases. To unlock the full potential of AI, companies may potentially consider a more drastic rethink. For example, instead of network optimization, companies could leverage AI for network redesign in the long-term. The green logistics market is estimated to grow from $50 billion in 2025 to $350 billion by 2030. Intelligent Transport, Greener Future: AI as a Catalyst to Decarbonize Global Logistics 20
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