"Loosing money is like s*x"
A fast-paced financial and tech discussion covering major funding rounds including Anthropic's $65B raise, a resurgence in public markets, and growing skepticism from Uber and Microsoft about AI productivity gains. The conversation touches on the shift from capex-light to capex-heavy business models and bold predictions about AI replacing human developers.
Summary
The transcript opens with a visceral observation about the emotional reality of financial loss, with one speaker quipping that losing money is like sex — theoretical knowledge is nothing compared to lived experience. This sets a candid, irreverent tone for the discussion.
The panel then moves into a rapid-fire news roundup. Anthropic's massive $65 billion funding round, followed almost immediately by a public filing, is flagged as a headline event. Cognition's $1 billion raise at a $26 billion valuation is also noted. Together, these signal a renewed appetite for big bets in AI infrastructure.
Public markets are described as coming back to life, with the speakers declaring the 'SaaS apocalypse' potentially over following what they call the best earnings week in two years. There's a notable shift in sentiment — private markets are no longer seen as the only respectable venue, and the previous reluctance to engage with public markets is described as over.
However, the conversation introduces a counterpoint: both Uber and Microsoft have expressed pessimism about actual productivity gains from AI. The speakers question what this means for the 'token maximalism' thesis — the idea that spending more on AI tokens translates directly to business value.
A significant structural observation is made: cloud and AI-era businesses have transformed from capital-light, cash-generative models into capital-intensive, cash-consuming ones. This is framed as a meaningful and underappreciated shift.
The transcript closes with a striking personal declaration from one speaker — they claim they would quit as a developer if denied access to their preferred AI model, and boldly predicts that by end of year, organizations will be choosing tokens over humans.
Key Insights
- One speaker argues that losing money is fundamentally experiential — no amount of theoretical discussion prepares you for the visceral feeling of actually losing capital.
- A speaker declares the era of avoiding public markets is over, suggesting the prior preference for staying private has reversed as public markets show renewed strength.
- Both Uber and Microsoft are cited as now pessimistic about AI productivity gains, raising a direct challenge to the 'token maximalism' thesis that more AI spending equals more output.
- A speaker observes that modern AI and cloud businesses have structurally shifted from being capex-light cash flow machines to capex-heavy cash-consumptive machines — a fundamental change in business model economics.
- One speaker claims they would quit their job as a developer if denied access to their preferred AI model, and predicts that by end of year companies will be choosing tokens over hiring humans.
Topics
Transcript
[0:00] I think there's a tangible feeling of grab it now. >> Yeah. I'm not interested if it can't be a billion-dollar position anymore. >> Losing money is like sex. You can talk about it all you like, but until you feel it, you don't [snorts] know what it's like. >> Starting off, we have Anthropic raising $65 billion and then filing to go public in the same week. We have Cognition raising a billion dollars at a $26 billion valuation. We have public markets coming back to life. Is the SAS apocalypse over? Best earnings week in 2 years. And then finally, [music] [0:30] Uber and Microsoft now pessimistic on the productivity gains from AI. Is there a question…
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Tokens Over Humans?
A tech leader argues that by end of 2025, companies will prioritize allocating budget to AI tokens over hiring additional engineers. Drawing from his experience at Adobe, he predicts a fundamental shift from headcount-based budgets to flexible spending budgets where leaders choose between humans and AI compute.
Why we should increase capital gains tax
The speaker argues that capital gains taxes, particularly on short-term gains, are preferable to income taxes because they do not significantly disincentivize investment behavior. They suggest a tax paradigm shift toward taxing things that don't negatively impact economic incentives. The transcript cuts off before the full argument is completed.
The $10B Startup Running on AI Agents
A company spending over $10B reveals that its AI agent token costs now exceed total employee salaries. The company runs multiple AI agents for project management and interviews, using evaluations to optimize model selection and inference spend. This token-over-headcount trend is expected to accelerate significantly across the enterprise.
Why AI Won't Take Your Job
The transcript argues that AI will not eliminate jobs, drawing on 250 years of economic history to counter fears of technological unemployment. The speaker highlights that productivity has increased 25x without causing net job loss, attributing recurring fears to the 'lump of labor fallacy.' Historical technology revolutions are cited as evidence that innovation creates rather than destroys employment.
This startup spends $400k/month on Anthropic
A startup founder reveals they spend $400,000 per month on Anthropic while spending nothing on OpenAI. They argue Anthropic has been outexecuting OpenAI, particularly for enterprise and workflow automation, despite crediting OpenAI with pioneering the AI lab model. The transcript ends mid-sentence hinting at a critique about stated versus revealed preferences.