THE WINDS ARE SHIFTING: These are tailwinds investors shouldn't ignore...

Key Concepts

• AI Narrative & Inference: The shift from training AI models to "inference" (putting AI to work), which increases demand for specialized hardware.
• Earnings Estimates: The primary driver of current market confidence, particularly in tech and semiconductors.
• Yield Curve & Bond Market: The role of the two-year Treasury note in predicting Federal Reserve policy and the risks of a flattening yield curve on corporate capital expenditure (CapEx).
• Memory Shortage: A critical supply-side factor impacting semiconductor companies like Micron.
• Jalapeno Chip: A specialized chip developed by OpenAI and Broadcom designed for large-scale AI inference.
• Hyper-scalers: Large cloud providers whose massive infrastructure spending drives the AI hardware market.

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1. Market Tailwinds and Earnings

Jessica Inskip identifies rising earnings estimates as the primary "tailwind" supporting the current market. Since the beginning of the year, earnings estimates—particularly in the technology and semiconductor sectors—have trended upward. Inskip argues that the market is currently in a "buy the dip" environment, as the fundamental growth in earnings justifies current valuations despite periodic volatility.

2. Macroeconomic Headwinds: The Bond Market

Inskip highlights the two-year Treasury note as a critical indicator, noting that it typically "front-runs" the Federal Reserve.

• Uncertainty: The introduction of new figures (e.g., Kevin Warsh) into the economic discourse has created uncertainty regarding the Fed's baseline.
• Yield Curve Risk: A flattening yield curve is identified as a significant risk. If the two-year note yield increases, it raises the cost of capital for "hyper-scalers" (large tech firms) who rely on the bond market to fund their massive CapEx requirements for AI infrastructure.

3. The Shift to AI Inference

A major technical transition is occurring in the AI sector: moving from Training to Inference.

• Definition: Inference is the process of "putting AI to work"—using the knowledge gained during training to process real-time queries, conversations, and tokens.
• Scaling Challenges: Inskip notes that inference is not a static cost; it scales per user, per query, and per token. This creates a massive bottleneck, as evidenced by reports of companies (like Uber) hitting usage limits.
• The "Jalapeno" Chip: The collaboration between OpenAI and Broadcom on the "Jalapeno" chip is a direct response to the need for specialized hardware optimized for large-scale inference.

4. Sector-Specific Analysis

• Dell: Despite recent volatility, Inskip maintains a bullish outlook on Dell. She views the recent sell-off as a buying opportunity, noting that the fundamental demand for PCs and AI-related hardware remains strong.
• Micron: Ahead of their earnings report, Inskip suggests that the "Jalapeno" news reinforces the need for high-performance memory. She argues that any sell-off in Micron stock should be viewed as an entry point, as the AI narrative is still in its "early innings."

5. Investment Methodology: The "Unloved" Rotation

Inskip discusses a strategy for identifying stocks poised for positive earnings surprises. Her framework focuses on companies that meet the following criteria:

1. Price/Earnings Divergence: Stocks that have experienced a recent decline in price but an increase in earnings estimates.
2. Operational Health: Evidence of revenue growth over the last quarter.
3. Financial Efficiency: Demonstrated margin expansion and strong free cash flow.

Inskip suggests a potential market rotation toward "unloved" names (e.g., Palantir) that have struggled recently but possess the fundamental metrics to outperform during the upcoming earnings season.

Synthesis and Conclusion

The market is currently defined by a tension between strong fundamental earnings growth in the AI sector and macroeconomic uncertainty regarding interest rates and bond yields. The transition toward AI inference is creating a new hardware cycle, necessitating specialized chips and increased memory capacity. Investors are advised to look past short-term price volatility and focus on companies with expanding margins and rising earnings estimates, particularly as the market rotates toward high-potential, currently undervalued assets.