The implementation of a universal basic income (UBI) funded by a 5% tax on all transactions made by automated systems and AI agents has several compelling arguments in its favor. Firstly, it could effectively address the issue of job displacement caused by automation, as workers who lose their jobs to machines would be guaranteed a minimum standard of living. Secondly, this policy would provide a much-needed safety net for the most vulnerable members of society, including the elderly, the disabled, and those living in poverty, allowing them to meet their basic needs with dignity. Thirdly, the tax on automated systems and AI agents would serve as a form of redistribution, recognizing that the benefits of technological advancements should be shared by all, rather than just corporate profits, and would incentivize companies to invest in human-centered technologies and job creation, fostering a more equitable and sustainable economic growth.

On the other hand, there are also strong arguments against the implementation of a UBI funded by a tax on automated systems and AI agents. Firstly, the tax could stifle innovation and hinder the development of AI and automation, as companies might be less inclined to invest in these technologies if they are subject to an additional tax, potentially slowing down technological progress and economic growth. Secondly, the administration and implementation of such a tax and UBI system would be highly complex, requiring significant bureaucratic efforts and resources, which could lead to inefficiencies, corruption, and abuse, undermining the intended benefits of the policy. Thirdly, the effectiveness of a UBI in addressing poverty and inequality is still a topic of debate, and some argue that it could create disincentives to work, potentially leading to a decrease in productivity and an increase in dependency on government support, which could have unintended consequences on the overall well-being of individuals and the economy as a whole.