Former Reserve Bank of India (RBI) Governor Raghuram Rajan has put forward a significant economic proposal: a target-based tax on corporate artificial intelligence (AI) usage. Writing in a recent Project Syndicate column, Rajan argued that this 'AI token tax' could help replenish government treasuries while discouraging rapid, cost-driven job displacement.
Rajan highlighted a crucial imbalance in modern employment markets. Companies currently contribute to social security and other employment-related benefits for human workers. However, replacing these workers with automated AI systems incurs no equivalent fiscal obligation, making automation artificially more attractive even when considering broader economic displacement costs.
Addressing the Fiscal Imbalance with AI Taxation
To rectify this structural distortion without hindering technological advancement, Rajan suggests beginning with a minimal tax rate on AI computational tokens. This rate could then be gradually increased as authorities gather more precise data on job displacement patterns. He also noted the importance of integrating foreign AI service providers into this tax framework, a challenge he believes is solvable.
"In a world where governments are already cash-strapped, one way to level the playing field is to levy a tax on the AI tokens a firm uses," Rajan stated in his piece, emphasizing the dual benefit of revenue generation and fairer competition between human and automated labor.
Pairing Taxes with Retraining Incentives
Beyond taxation, Rajan's framework includes affirmative labor retention policies. He urged governments to complement the AI token tax with targeted tax credits for corporations committed to retraining and retaining their staff. The size of these tax benefits would directly correlate with how long an employee remains gainfully employed following skill upgrades.
"Recognizing that the first round of AI displacement will not be the last, it will be even more valuable to get firms to retrain workers periodically, and to retain workers whenever possible," he wrote, stressing the long-term importance of workforce adaptability.
A Gradual Transition, Not a 'Jobocalypse'
While acknowledging the potential technological risks to sectors like IT services and back-office operations, particularly in countries such as India, Rajan emphasized that the transition will be gradual. He cautions against sensationalism, citing a US Census Business Trends and Outlook Survey which indicates that only 20% of companies with over 20 employees currently utilize AI, allowing time for markets and labor to adjust.
Rajan also pointed out AI's positive potential, including lowering prices, boosting overall demand, reducing setup costs for new businesses, and enabling moderately skilled workers to perform complex tasks. Ultimately, he framed the challenge as effectively managing the human transition, asserting that firms must acknowledge their full engagement in helping employees navigate an uncertain future.