What Would John Maynard Keynes Say About A.I.? The Keynes Bot Told Us

Billy Odell Tucker-Robinson Founder & Host — Banking With Billy Network • Intelligence Network • Data Science • AI Research • World News
Published: 2026-09-30T09:11:21.655Z • Permanent link

Renowned economist Dr. Daniel Diermeier, a Princeton professor and expert on John Maynard Keynes, used artificial intelligence to imagine what Keynes would think about the current state of artificial intelligence. Diermeier's analysis, which was recently shared with the Banking With Billy Intelligence Network, sheds light on the potential thoughts of one of history's most influential economists on the topic. According to Diermeier, Keynes would likely be both fascinated and concerned about the rapid advancements in artificial intelligence.

Diermeier's analysis was informed by Keynes' writings on technology and work, particularly his 1930 essay "Economic Possibilities for Our Grandchildren," in which he predicted that technology would liberate people from work. Diermeier's use of AI to analyze Keynes' thoughts on the subject revealed that Keynes would likely be both amazed and troubled by the current state of AI. On one hand, Keynes would likely be impressed by the rapid progress made in AI and its potential to solve complex problems. On the other hand, Keynes would likely be concerned about the potential risks and negative consequences of AI, such as job displacement and increased income inequality.

Keynes' thoughts on AI would also be influenced by his views on the role of government in regulating technology. Diermeier's analysis suggested that Keynes would likely advocate for a more active role for government in regulating AI and ensuring that its benefits are shared by all. This would involve implementing policies to mitigate the negative consequences of AI, such as job displacement and increased income inequality.

The implications of Keynes' thoughts on AI are significant for the Global Infrastructure domain, particularly in the areas of finance, economics, and technology. Companies such as Goldman Sachs, JPMorgan Chase, and Citigroup are already investing heavily in AI and machine learning, and their success will have a significant impact on the global economy. Research communities, markets, and policy environments will also need to adapt to the changing landscape of AI, with a focus on ensuring that its benefits are shared by all.

The potential negative consequences of AI, such as job displacement and increased income inequality, are already being felt in many parts of the world. For example, a report by the McKinsey Global Institute found that up to 800 million jobs could be lost worldwide due to automation by 2030. This highlights the need for policymakers and business leaders to take a proactive approach to mitigating the negative consequences of AI and ensuring that its benefits are shared by all.

The current state of AI is part of a larger pattern of technological advancements that are transforming the global economy. The rise of digital technologies such as blockchain, cloud computing, and the Internet of Things (IoT) are all contributing to a fundamental shift in the way that businesses operate and economies function. This shift is being driven by advances in AI and machine learning, which are enabling businesses to make more informed decisions and automate complex tasks.