This Equity episode discusses the intense AI hype cycle, exemplified by Allbirds' pivot to "Newbird AI" and massive valuations for AI infrastructure companies like FluidStack. It also delves into the competitive landscape between OpenAI and Anthropic, highlighting OpenAI's strategic acqui-hires and Anthropic's enterprise success. The hosts explore the "AI Anxiety Gap" and the emerging trend of "tokenmaxxing" within tech companies, driven by the high costs and incentives surrounding AI usage.
Summarized by Podsumo
Allbirds' AI Pivot: The former shoe company Allbirds rebranded as Newbird AI, pivoting to computing infrastructure, sparking debate about the peak of the AI hype cycle and drawing comparisons to past tech bubbles.
Wave's Strategic Investments: Self-driving tech company Wave secured a $60 million investment from chipmakers (AMD, Arm, Qualcomm), validating its hardware-agnostic approach and supporting its expansion, including a significant partnership with Uber for London.
AI Infrastructure Boom & Skepticism: FluidStack, an AI data center startup, is raising a billion-dollar round at an $18 billion valuation, with a $50 billion Microsoft contract, but the hosts express skepticism about the feasibility and actual build-out of such large-scale projects.
OpenAI vs. Anthropic: OpenAI's recent small acquisitions (Hero, TBPN) are seen as acqui-hires to bolster consumer product development and public image, while Anthropic gains traction in enterprise and coding with "Cloud Code," intensifying their rivalry.
Tokenmaxxing & AI Costs: The phenomenon of "tokenmaxxing" (maximizing AI compute usage) is prevalent in tech, driven by internal incentives, but raises concerns about cost efficiency, with startups like Parasail emerging to address the high operational expenses of AI.
"I cannot imagine anything that more perfectly encapsulates what we've been talking about on this podcast. I mean, the question here is, like, is this is this it? Is this the top?"
— Anthony Haar
"If you can't beat them, join them."
— Kirsten Korsek
"Uber's CTO said this week that they pretty much, he feels like they blew through their budget on AI spending already because how much they're using it and it just that is like the heart of this issue here"
— Sean O'Kane