'High risk, high reward play but the thesis is quite interest here': White on Telesat

Key Concepts

• AI Picks and Shovels: Companies providing the essential infrastructure (hardware, connectivity, power) required for AI development.
• AECs (Active Electrical Cables): Copper cables with embedded chips that boost and clean signals, essential for high-speed GPU clustering.
• Silicon Photonics: A technology that uses silicon to guide light for high-speed data transmission, offering superior performance over long distances compared to copper.
• LEO (Low Earth Orbit) Satellites: Satellites orbiting at ~1,000 km, providing low-latency, high-speed connectivity compared to traditional geostationary satellites.
• Going Concern: An accounting term indicating a company may not have the resources to continue operations or meet debt obligations in the near future.

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1. Credo Technology (CRDO)

Main Topic: Infrastructure for AI GPU clustering.

• The Bottleneck: As AI clusters scale from 1,000 to 500,000 GPUs, traditional passive copper cabling becomes insufficient due to speed limitations and the need for thicker gauges.
• The Solution: Credo provides "Smart Copper" (AECs), which use embedded chips to maintain signal integrity. This is a cost-effective alternative to optical cabling.
• Strategic Pivot: To address the future shift toward optical solutions, Credo acquired Dust Photonics for $750 million, entering the Silicon Photonics space where light is guided through silicon.
• Financials & Risks:
  • Growth: Sales reached $437 million in the most recent fiscal quarter, matching the total sales of the previous full fiscal year.
  • Valuation: Trades at ~35x forward earnings.
  • Concentration Risk: One customer accounts for 40% of total sales.
  • Market Risk: Potential volatility if Silicon Photonics technology disrupts the current copper-based market share.

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2. Telesat Corp (TSAT)

Main Topic: Satellite communications transition.

• Business Model:
  • Legacy (Geostationary): Satellites at 35,000 km. Used for TV, military, and aviation. This segment is in "structural decline" due to high latency.
  • Emerging (LEO): Satellites at 1,000 km. Offers low latency and high speeds. Currently used for government, defense, and Canadian Arctic sovereign projects.
• Key Metrics: The LEO business has a $1.1 billion order backlog.
• Investment Thesis: High-risk, high-reward. The company faces a "going concern" risk due to debt maturing later this year. Success depends on the ability to refinance or negotiate with lenders; if resolved, the LEO growth story is expected to drive the stock.

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3. Zedd Corp

Main Topic: AI-powered physical security infrastructure.

• Business Model: Deploys mobile, AI-monitored security towers to retail plazas, construction sites, and vacant lots.
• Competitive Advantage: Unlike incumbents who sell hardware or provide human guards, Zedd leverages network effects and manufacturing scale. They have deployed 2,800 towers across North America (majority in the US).
• Financials:
  • Growth: 79% sales growth and 86% EBITDA growth in the last year.
  • Valuation: Trades at ~115x forward earnings.
• Perspective: The stock is "priced to perfection," meaning the company must execute flawlessly to justify its high valuation.

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Synthesis and Conclusion

The analysis highlights three distinct layers of the current tech and infrastructure market:

1. Connectivity (Credo): Solving the physical bottleneck of massive GPU clusters through smart copper and future-proofing via Silicon Photonics.
2. Connectivity/Infrastructure (Telesat): A transition play from legacy high-latency satellite systems to high-speed LEO networks, contingent on debt restructuring.
3. Physical Security (Zedd Corp): A high-growth, high-valuation play utilizing AI to disrupt traditional, labor-intensive security models.

The common thread across these companies is the reliance on specialized, scalable technology to solve modern infrastructure challenges, though each carries specific risks ranging from customer concentration and debt maturity to high valuation multiples.