The report, showcased at the IMF’s spring meeting, emphasizes the need for equitable distribution of these economic gains while managing the adverse effects on our climate. The forecast indicates that AI’s contribution to GDP growth will outweigh the financial impacts of emissions, though it points out the necessity for policymakers and businesses to mitigate societal costs.
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Energy Demands and Environmental Footprint
AI is set to escalate global electricity demand, potentially reaching 1,500 terawatt-hours (TWh) by 2030, mirroring the energy consumption of countries like India today.
The increasing demand for data processing capacity could result in higher greenhouse gas emissions, but the AI industry aims to offset these with advancements in renewable energy technologies.
AI: A Driver for Energy Efficiency?
Analysts suggest that AI could potentially reduce carbon emissions through improved energy efficiency, fostering advancements in low-carbon technologies across sectors such as power, food, and transport. Grantham Research Institute stresses the significance of strategic action from governments and industries to facilitate this transition.
The role of AI in the global economy continues to evolve, stirring debates not only about its economic potential but also its environmental impact.
