Latest publication
Mapping Tax Risks From Labour-Displacing AI
Published April 24th 2026 by Trish Ieong, Akbar Saputra, Anuja Maniar and Deric Cheng
This paper addresses an emerging fiscal risk for tax policymakers: the potential for powerful, productivity-enhancing AI systems to erode tax bases through labour displacement. We identify four channels through which fiscal pressures may arise, simulate scenarios for an ‘average OECD country’ under various assumptions, and examine country-specific factors likely to produce different results across jurisdictions. Our aim is to prompt governments to start preparing now, and we offer some high-level suggestions for doing so.
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