This episode of Tech TV features hosts Bill and Pete alongside special guest James Kong, a former Wall Street broker and technology expert who is now CEO and Founder of Alp Tech, an AI Renewable Energy Company. The conversation covers several interconnected themes around the current state of AI investment, market risks, and broader societal implications.

The show opens with a discussion about Anthropic’s clash with the US Department of Defense. Anthropic refused to allow its technology to be used for military targeting on ethical grounds, prompting the Pentagon to threaten cutting it from supply chains. OpenAI stepped in to fill the gap, though many industry heavyweights — including Microsoft and former defense officials — publicly backed Anthropic’s stance, arguing that the supply chain risk designation was disproportionate for a domestic tech provider.

The central segment focuses on James Kong’s analysis of the AI investment bubble. He draws parallels to the 2007–2008 financial crisis, warning that the current AI funding cycle has many hallmarks of a systemic risk. He explains that unlike traditional private equity — which historically involved sophisticated institutional investors making targeted bets — today’s AI investment vehicles are publicly listed, meaning ordinary retail investors (“mom and pop”) are exposed to highly illiquid, hard-to-value AI assets. Companies like OpenAI have massive capital commitments but no clear path to profitability, yet investment continues flowing because credit remains available and participants can’t afford to let the bubble burst.

Kong describes the situation as circular financing: companies inflate each other’s valuations through cross-investment, creating what many analysts liken to “a serpent eating its tail.” He notes that major firms like Oracle, once high-margin software businesses, are now low-margin infrastructure players carrying enormous capital risk tied to AI projects. Large funds including Morgan Stanley and BlackRock have already had to limit withdrawals, while tech companies are announcing preemptive mass layoffs of up to 20% of staff.

The discussion then turns to infrastructure. Kong argues there’s a fundamental thermodynamic problem: the energy infrastructure required to support the AI revolution at scale simply doesn’t exist, particularly in the US and Europe. Data centres demand gigawatts of power the grid can’t supply, and the water and cooling requirements are equally daunting. He emphasises that AI is still in its infancy — comparable to the earliest days of rail — yet is being treated as a finished technology.

The episode closes with a lighter but pointed discussion about AI’s role in society, touching on concerns about AI being used as a substitute parent, the campaign for a “human-made” emblem on AI-free products, and the broader philosophical question of whether AI can meaningfully replicate human experiences like love. Kong makes a final argument that without functioning institutional intelligence — sound governance, legal systems, and international cooperation — pouring more artificial intelligence into society will only amplify existing problems rather than solve them.