IMF calls for new fiscal policies to address AI’s economic and environmental impacts
AI’s impact on jobs could widen economic inequality, affecting both white-collar and blue-collar professions.
The International Monetary Fund (IMF) has recommended fiscal policies for governments grappling with the economic impacts of AI, including taxes on excess profits and a levy to address AI-related carbon emissions. In a recent report, the IMF highlighted the rapid advancement of generative AI technologies like ChatGPT, which can simulate human-like text, voices, and images from simple prompts, noting their potential to spread quickly across industries.
One key suggestion from the IMF involves implementing a carbon tax to account for the significant energy consumption of AI servers used in data centres. These servers contribute to global emissions, currently amounting to up to 1.5%. The IMF emphasised the need to factor these environmental costs into the price of AI technologies.
The report also raised concerns about AI’s impact on job markets, predicting potential wage declines as a proportion of national income and increased inequality. It warned that AI could exacerbate job losses across various sectors, affecting white-collar professions such as law and finance and blue-collar jobs in manufacturing and trade.
Why does it matter?
To address these challenges, the IMF proposed measures such as enhancing capital income taxes, including corporation tax and personal income taxes on capital gains. It suggested reconsidering corporate income tax policies to prevent profit shifting and ensure fair taxation across sectors.
Additionally, the IMF recommended policies to support workers affected by AI-driven automation, including extending unemployment insurance and focusing on education and training programs tailored to new technologies. While the report expressed caution about universal basic income due to potential fiscal implications, it acknowledged the need for future considerations if AI disruption intensifies.
Era Dabla-Norris, co-author of the report and deputy director of the IMF’s fiscal affairs department, highlighted the importance of preparing for potential disruptions from AI and designing effective policies to mitigate their impacts on economies and societies.
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