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AI impact on global taxation and digital law

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2026-10-11 11:42 UTC → 2026-10-30 13:11 UTC · added ~~removed~~

The integration of artificial intelligence and autonomous agents is presenting new complexities for global tax frameworks. Initial concerns focus on the potential erosion of traditional tax bases, such as income and payroll taxes, as AI increases productivity while potentially reducing reliance on human labor. In India, legal experts have noted an “attribution gap” because current statutes do not recognize AI agents as “persons,” complicating tax responsibility for income and digital assets generated by autonomous systems. Proposed solutions in this region include implementing operator-attribution rules and clarifying supplier identification under GST to maintain a human-centered framework. Discussions have expanded to include international legal perspectives on digital transformation. At the I Spain-America Conference on Tax Law and Digital Transformation, specialists from various countries analyzed how tax administrations might utilize AI and data analytics, alongside the regulation of crypto assets, cybersecurity, and personal data ~~protection~~ protection. In Sweden, the debate has shifted toward the long-term stability of national systems. Mathematics professor Svante Linusson of KTH expressed concerns that the Swedish tax system may not be able to withstand shifts caused by AI agents performing complex tasks. Meanwhile, in ~~digital environments.~~ the corporate sector, experts suggest that businesses must move beyond using AI solely for efficiency, instead using it as a central engine for innovation to maximize value.

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