AI's Trillion-Dollar Hunger: Market Shockwaves Revealed

Summary

The Fed's rate cut probability is near zero due to strong employment and inflation, with a non-zero chance of a rate hike. Private equity tech deals have plunged 70% as hyperscalers escalate AI capital expenditures from $400 billion last year to nearly $1 trillion this year. This massive spending on LLM agentic AI is proving extremely capital-intensive, causing investors to lose appetite. Google is raising $80 billion, upsizing to $85 billion, in new equity to fund its AI capex, a stark contrast to its historically capital-light software model. Oracle also reported significant capital needs and a substantial increase in its capital raising plans. SoftBank's inability to secure a $10 billion loan against its OpenAI stake signals potential issues with its valuation. Super Micro plans to raise $7 billion in financing. This shift from capital-light to capital-intensive models in tech is a major change. AI investment is unlikely to stop, but investors may shift towards companies that benefit from AI without requiring such capital, like those in alternative energy, semiconductors, and networking. Despite trillions spent, AI differentiation is lacking, with prices potentially being cut. Midterm elections may see data centers become a political issue. In economic news, inflation remains elevated with CPI at 4.2% and core CPI at 2.9%. Second-quarter earnings growth expectations are strong at 22.6%, heavily influenced by the energy sector. Geopolitical events involving Iran and Israel are unfolding with market rallies on news of potential de-escalation. Major IPOs from OpenAI and Anthropic are anticipated, along with Apple's new AI features, which, while improved, are playing catch-up. Addiction business models are a growing concern, impacting social media, AI, and even children's games. Private equity deal values have fallen 70% with significantly longer holding periods, and there's $4 trillion in unrealized private equity investments. The market is grappling with a need for uniformity due to active managers hugging benchmarks, increasing systemic risk.