This chapter begins with a full reconstruction of Shaw’s ideological context by AI. As this ran in parallel to the rise of the technologies and concerns that eventually became AI, the Large Language Model (LLM) explored how the debates surrounding a number of key issues—human-as-machine, the measures to avoid hallucinations and bias, the anxiety of AI becoming autonomous agents and the human deception under the Eliza Effect, and the call for good governance of AI—will together comprise a Shavian blueprint for the ethical use of AI and what this will look like. Next, using the predictive power of AI, the LLM was asked to analyze the warnings Shaw raised in Back to Methuselah and what these may amount to when transferred to a modern AI and LLM context. Shaw, like Geoffrey Hinton, issued warnings about the rise of technology and mechanization. The AI simulation found that Shaw provided dramatized responses to salient social questions, which are relevant to the current anxieties about the rapid development of AI. How real and how immediate are the risks? The book ends with the LLM predicting whether the risks surrounding AI are real or not, and if they are, what might be the consequences.