WARNING: The Two Paths to Recession.

AI Profitability and Circular Spending [0:33]

• The AI sector's spending model is circular, with companies like NVIDIA reinvesting free cash flows into AI infrastructure firms.
• These firms then use capital injections to purchase more NVIDIA chips, creating a self-reinforcing cycle.
• This cycle could be threatened if AI companies fail to demonstrate profitability.

  "And it's this crazy cycle."

Anthropic's Financials and Market Potential [1:43]

• Upcoming IPO documentation for Anthropic (S1 filing) is expected to reveal the company's financials.
• Concerns exist that Anthropic and OpenAI may attempt to obscure R&D spending to appear profitable.
• A shift towards AI as a software platform for compliant agents in various industries could unlock new markets.

  "The current estimates we have are that Anthropic and OpenAI are expected to try to hide as much of their spending in R&D as possible."

AI Enhancing Knowledge Worker Productivity [3:24]

• New AI models, like Astro, are opening markets for knowledge workers beyond coding.
• AI can enhance productivity for professionals such as architects, 3D modelers, and video editors.
• This expansion into knowledge work could represent a significant portion of U.S. spending, potentially boosting GDP.

  "And they argue, opens up a whole new market of knowledge workers who can use artificial intelligence."

AI's Impact on Labor Market: Bullish View [7:38]

• Some analyses suggest AI has been a net job creator, with significant numbers of construction and AI-related jobs emerging.
• The Economist estimates hundreds of thousands of new jobs in construction and AI fields.
• LinkedIn's analysis points to substantial growth in AI-specific jobs between 2023 and 2025.

  "The Economist says that we have created 320,000 approximately construction jobs plus 640 to 730 new AI-related jobs because of artificial intelligence."

AI's Impact on Labor Market: Bearish View [10:24]

• Research indicates that AI implementation is leading to slower wage growth in jobs most exposed to the technology, particularly among younger workers.
• Companies are capturing AI productivity gains by suppressing wage increases rather than reducing headcounts.
• Occupations highly exposed to AI have seen declines in real wage growth, with service and lower-tier workers experiencing significant impacts.

  "Companies were capturing AI productivity by suppressing wage gains rather than reducing headcounts."

The "Ramp Study" and Its Limitations [17:51]

• A study by Ramp suggests companies adopting AI tend to grow faster.
• However, the study primarily focused on startups and venture-backed firms.
• It excluded companies that went bankrupt or reduced their workforce significantly, potentially skewing the results.

  "And you removed companies that went from over five employees to under five employees. So the ones that lost employees, you removed the bankrupt ones."

Shifting Workforce Dynamics [21:07]

• The speaker's company has shifted from a larger G&A staff to a larger R&D team due to AI.
• While this is a productive shift, it has led to job losses in some areas, even if overall hiring is increasing.
• This highlights how AI can change the composition of a workforce, even in growing companies.

  "We now have, I think, up to a team of 12 now on developers. But our G&A team is substantially smaller than historical."

Labor Market Uncertainty and Recession Risk [23:09]

• It remains uncertain whether the labor market will roll over, a key indicator for potential recession.
• The current labor market is improving, but a shift could trigger recession fears.
• If the labor market deteriorates, it could slow down the AI software revolution and lead to job losses, potentially triggering a recession.

  "So we're really, dare I say, data dependent. But I guess maybe I should be calling it data trend dependent."