I Found the Stocks Wall Street says Nvidia Can't Win Without

Watch on YouTube ↗  |  September 17, 2026 at 09:55  |  26:20  |  Everything Money
Speakers
Paul Gabrail — Host / Value Investor

Summary

The video explains the 'picks and shovels' framework for the AI boom, arguing suppliers can get paid regardless of which AI model or chip company wins. It highlights five named AI infrastructure enablers—Sterling Infrastructure, Celestica, Rambus, Ciena, and Globant—and deep-dives valuation on Sterling, Ciena, and Rambus. The central warning is that being right about technology is not enough, as shown by the late-1990s fiber/Global Crossing bust; price, debt, customer concentration, and business quality still matter.

  • Introduces AI 'picks and shovels' as an alternative to chasing Nvidia, Palantir, and other crowded AI winners.
  • Explains revenue-certainty appeal: suppliers are paid even if AI applications or models fail.
  • Uses Global Crossing and the 1990s fiber overbuild as a cautionary tale about overpaying for a correct technology trend.
  • Profiles five AI infrastructure names: Sterling Infrastructure, Celestica, Rambus, Ciena, and Globant.
  • Deep-dives on Sterling, Ciena, and Rambus with revenue, margin, returns, debt, analyst estimates, and stock-analyzer valuation ranges.
  • Flags key risks: customer concentration, thin hardware margins, rapid technology shifts, low returns on capital, debt, and AI cannibalizing consulting demand.
  • Concludes that avoiding stocks that do not make valuation sense is important, and teases a follow-up on next-phase AI names.
Ideas
Paul Gabrail Host / Value Investor 0:16
AI suppliers win regardless, price matters.
The AI boom's best risk/reward may be in 'picks and shovels' suppliers because they get paid regardless of which AI model or chip company wins. However, he warns that being right on technology is not enough: the 1990s fiber overbuild and Global Crossing bankruptcy show investors must underwrite price, debt, and business quality.
Paul Gabrail Host / Value Investor 5:24
Sterling grows fast but too uncertain.
Sterling Infrastructure prepares data-center sites, clears land, pours concrete pads, and runs underground utilities, so it earns construction revenue before servers arrive regardless of which AI chip or model wins. Growth is strong—revenue +90%, profits more than doubled, 78% of business from data centers, $5.6B backlog, and nearly $0.5B cash—but the valuation range is very wide, demand could cool, debt remains if the boom reverses, and the speaker says he would likely move on rather than invest.
Paul Gabrail Host / Value Investor 5:51
Custom AI server builder with concentration risk.
Celestica builds the server boxes for custom AI chips designed by tech giants, is deeply plugged into large spenders including Google, and its main AI segment grew 84%. The main risks are customer concentration and thin hardware margins.
Paul Gabrail Host / Value Investor 6:26
Memory plumbing royalties, but low returns.
Rambus designs high-speed data plumbing between AI chips and memory and earns both chip sales and recurring royalties, a toll-booth-like model; product sales grew 22% and it launched its fastest ever memory chip for AI servers. It has net cash and very low debt, but returns on capital have been low, valuation is premium, and it must keep winning each new technology generation.
Paul Gabrail Host / Value Investor 6:58
Optical AI networking leader, boom-bust risk.
Ciena makes optical networking gear that links thousands of AI computers over fiber and is arguably the cleanest AI story in the group: revenue grew 37%, profits soared over 200%, core optical networking grew about 46%, and management guided to $6.42B revenue, roughly 35% growth, as AI drives waves of spending. Risks include customer concentration—two customers over 40% of revenue—and a boom/bust history similar to Global Crossing; conservative valuation work leaves a wide range and does not clearly make it cheap.
Paul Gabrail Host / Value Investor 7:30
AI may cannibalize Globant's flat consulting.
Globant helps regular companies build and use AI, but the same AI could make programmers so efficient that companies need fewer consultants, potentially eating into Globant's own business; its total sales are basically flat despite the AI excitement.
Up Next

This Everything Money video, published September 17, 2026, features Paul Gabrail discussing AI picks and shovels, STRL, CLS, RMBS, CIEN, GLOB. 6 trade ideas extracted by AI with direction and confidence scoring.

Speakers: Paul Gabrail  · Tickers: AI picks and shovels, STRL, CLS, RMBS, CIEN, GLOB