# #125 Untangling: The 'AI Bubble'

Page: https://stenobird.com/podcast/untangling-web3-6400051/125-untangling-the-ai-bubble
Text version: https://stenobird.com/podcast/untangling-web3-6400051/125-untangling-the-ai-bubble.md
Podcast: [Untangling Web3](https://stenobird.com/podcast/untangling-web3-6400051)
Published: 2026-01-28T16:52:21+00:00
Episode link: https://rss.com/podcasts/untanglingweb3/2500179
Audio file: https://content.rss.com/episodes/211560/2500179/untanglingweb3/2026_01_28_13_33_44_c083df52-4653-412b-af7f-663f49556397.mp3
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JSON: https://stenobird.com/v1/public/podcasts/untangling-web3-6400051/episodes/125-untangling-the-ai-bubble
Duration seconds: 2643

## Resource

In this week’s episode of the Untangling Web3 podcast, we tackle one of the biggest narratives dominating tech and global markets right now: the so-called AI bubble. With headlines predicting an imminent crash in artificial intelligence stocks and skepticism mounting around LLMs, the hosts unpack whether we’re witnessing genuine over-exuberance, or simply the growing pains of a transformative technology. Drawing on real market signals, user adoption, and infrastructure realities, this episode cuts through the hype to examine what’s really going on beneath the surface Key Points Discussed: Why People Are Calling It an AI Bubble: The episode explores the core arguments behind the bubble narrative, including sky-high valuations, heavy reliance on a handful of AI-driven tech stocks, and the dominance of companies like Nvidia in propping up broader markets. Alec and Jack discuss concerns around circular investment models, where capital flows between AI companies and hardware providers, raising questions about whether real value is being created or simply recycled on balance sheets. The Reality of AI Adoption and LLM Progress: Despite investor anxiety, the hosts highlight a stark contrast at the product level: LLMs are improving rapidly and becoming deeply embedded in everyday workflows. From replacing search to enhancing productivity, AI tools are delivering tangible value to consumers and businesses alike. The conversation emphasizes that while enterprise-level ROI may take longer to materialize, dependence on AI systems is already a reality—and unlikely to reverse. Hidden Risks: Chips, Energy, and Global Dependencies: Beyond market sentiment, the episode dives into structural risks that could act as real pressure points for the AI boom. These include reliance on a single…

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## Transcript

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