5 Stocks to Buy After Earnings

Key Concepts

• Earnings Season Strategy: Using earnings reports to confirm or contradict long-term outlooks; treating pullbacks as buying opportunities if the fundamental thesis remains intact.
• Data Center Buildout: The massive infrastructure expansion driven by AI, shifting from training phases to inference phases.
• Hyperscalers: Large-scale cloud providers (e.g., Oracle) driving demand for power and hardware.
• Inference vs. Training: The two stages of AI; training requires raw power (Nvidia), while inference (running the models) is increasingly utilizing specialized hardware (AMD).
• Market Inflection Points: Technical levels (e.g., 150-week EMA) that signal a shift from bearish to bullish trends.

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1. Big Bear AI (BBAI)

• Status: High-risk speculative play.
• Turnaround Details: The company has moved past a phase of heavy share dilution and balance sheet instability.
• Key Metrics: Backlog increased by 15%.
• Outlook: The company is transitioning from a "bad story" to a "good story." Thomas Hughes notes that institutional inflows are picking up.
• Technical Analysis: The stock is approaching a critical resistance level at the 150-week Exponential Moving Average (EMA). Success here could lead to a move from the $4–$5 range toward $6. Failure to hold this level may result in a retest of the $3 lows.

2. Emprius Technologies (AMPX)

• Status: Buying opportunity following a "knee-jerk" 25% sell-off.
• The "Miss": The stock dropped due to GAAP earnings missing expectations, despite revenue outpacing consensus and profitability metrics improving.
• Arguments for Bullishness:
  • The technology is proven with strong utility in government and defense.
  • Production capacity and sales are ramping up simultaneously.
  • The company is nearing an inflection point to positive EBITDA by year-end.
• Market Mechanics: The sell-off was exacerbated by high short interest and the fact that the stock had already rallied significantly over the previous 12 months.

3. Bloom Energy (BE)

• Status: A primary beneficiary of the data center power crunch.
• Core Value Proposition: Bloom provides power cells that are available for immediate deployment, unlike small modular reactors which are years away.
• Customer Base: While Oracle is a major driver, Bloom is in active discussions with all major hyperscalers.
• Growth Thesis: As data centers prove the efficacy of Bloom’s technology, adoption is expected to expand across other industrial verticals facing global power constraints.

4. Astera Labs (ALAB)

• Status: An "infrastructure" play for AI.
• Technical Role: Produces the connectors, switches, and timers that manage memory flow between CPUs and GPUs within servers.
• Growth Drivers:
  • High-volume server deployment by hyperscalers.
  • The "refurbishment cycle": AI hardware is expected to burn out twice as fast as standard hardware, necessitating frequent upgrades.
• Outlook: Despite a 70% run-up, Hughes views this as the early stages of a long-term growth cycle.

5. Advanced Micro Devices (AMD)

• Status: A long-term conviction play transitioning from a "catch-up" story to a market leader.
• Strategic Shift: AMD is positioning itself as the leader in the inference phase of AI, while Nvidia remains the leader in the training phase.
• The "AI Factory" Model: Hughes argues that for every Nvidia-based training data center, there will be multiple AMD-powered inference centers.
• Key Catalyst: The upcoming MI450 launch is expected to be a game-changer.
• Evidence: CEO Lisa Su doubled the total addressable market (TAM) estimate for CPUs to $120 billion, signaling massive future revenue potential.

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Synthesis and Conclusion

The overarching theme of this earnings season is the maturation of the AI infrastructure cycle. Thomas Hughes emphasizes that investors should look past short-term "knee-jerk" reactions to GAAP misses and focus on long-term indicators like backlog growth, guidance revisions, and the physical necessity of power and connectivity components.

Actionable Takeaways:

• Don't fear the run-up: If the fundamental growth story (like that of AMD or Astera) is just beginning, high-percentage gains do not necessarily preclude further upside.
• Monitor the "Power Crunch": Companies like Bloom Energy are essential to the AI buildout because power, not just chips, is the current bottleneck.
• Technical Discipline: Use technical indicators like the 150-week EMA to identify entry points and confirm that a stock has successfully transitioned from a downtrend to a sustainable uptrend.