This blog post critically examines the concept of taxing automation (AI-related job losses) and proposes an alternative approach: taxing the AI itself. The author discusses the complexities of measuring automation's impact on layoffs and advocates for a compute tax levied on AI model providers, which could fund worker transition initiatives. It highlights the challenges and potential effectiveness of such a tax in managing the societal impacts of automation.