Alphabet (GOOGL) is used as an example of a tech company whose stock price historically rose on announcements of increased data center spending, but the creator questions if this capital expenditure translates to actual revenue and profit.
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Beyond Nvidia: The AI Momentum Trade Is Fracturing — Here Is What Happens Next
The creator discusses the stalling AI momentum trade, noting that Nvidia's earnings call did not provide the expected boost. They highlight that momentum funds are shifting away from high-beta AI exposure towards healthcare, energy, and commodities, citing a significant underperformance of the momentum index compared to the S&P 500. The discussion also touches on physical grid bottlenecks threatening the AI buildout and potential autumn drawdowns.
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Tickers discussed in this post
Microsoft (MSFT) is mentioned as an example of a tech company whose stock price historically rose on announcements of increased data center spending, but the creator questions if this capital expenditure translates to actual revenue and profit.
JPMorgan Chase (JPM) and the banking sector are sensitive to economic growth, and a weakening consumer could negatively impact their performance.
The S&P 500 is historically weak in September, and with the top five stocks making up an unprecedented percentage of the index, the risk of a rapid drawdown increases exponentially.
Constellation Energy (CEG) is mentioned as a utility giant seeing massive runs due to power demand for AI, but the creator questions if it's a new bubble with mismatched timelines.
Eaton is mentioned as being 'red', indicating a recent price decline.
Vistra is mentioned as one of the energy stocks that has seen a decline, down 7% over the last month.
GE Vernova's valuation is hard to assess due to large queues for gas turbines and uncertainty about future demand, and its recent 10% drop suggests more is at play than just consolidation.
Caterpillar's valuation is hard to assess due to large queues for gas turbines and uncertainty about future demand.
Adobe is currently impossible to value due to the overwhelming disruption from AI.
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