TubeRankBehind the video
AI Is Running Out of Human Data. Here’s the Trade.
Overall Thesis
Reddit's fresh human discussions should become increasingly valuable as AI-generated content proliferates, supporting higher licensing revenue and a potential acquisition. The hosts also favor Amazon's compute infrastructure and Bloom Energy's power exposure, while urging caution about leverage and unpredictable near-term AI developments.
Narratives
Shutterstock is proposed as another sympathy trade if a major Reddit transaction raises the perceived value of proprietary human-created data. The host expects a smaller but similar reaction rather than presenting a standalone investment thesis.
Key Arguments
- Photography represents another potentially valuable source of original content.
- A Reddit catalyst could lift comparable data owners.
Risks acknowledged
- The opportunity depends on a Reddit catalyst.
- No independent valuation or earnings analysis is supplied.
Predictions (1)
Chris sees Reddit as a scarce source of fresh human judgment whose platform and licensing economics should strengthen as AI content proliferates. He adds to his moderate position and anticipates substantially higher licensing rates or a possible acquisition.
Key Arguments
- Human discussions capture disagreement, context, and timely information that static books and synthetic data lack.
- Major AI labs need permissioned data and should pay for commercial access.
- Reddit's breadth of interest communities creates a difficult-to-replicate network.
- Recent content creation suggests stronger engagement despite slower user growth.
- Chris reports buying more Reddit during the episode.
Risks acknowledged
- User growth reportedly slowed to 7%.
- AI content could contaminate Reddit's human-data advantage.
- Meta announced a competing product.
- Unauthorized copies and overseas licensing enforcement could undermine monetization.
- Short-term stock movements remain unpredictable.
Chris dislikes Yelp as a long-term holding but proposes a brief sympathy trade following a Reddit acquisition offer or major licensing announcement. He expects a short window before other human-data stocks fully react.
Key Arguments
- Restaurant reviews require real human experiences.
- A major Reddit deal could revalue other companies with human-generated data.
Risks acknowledged
- Both Chris and Dave dislike Yelp.
- Dave considers Google reviews more reliable.
- The catalyst may never occur, and the proposed trade lasts only minutes.
Predictions (1)
AMZNAmazonChris remains bullish on Amazon because agentic AI should drive heavy compute demand and support AWS and its chip ecosystem. He expects strong AWS performance but acknowledges advertising disruption, shipping costs, and uncertain market reactions around earnings.
Key Arguments
- Agents consume compute through simultaneous token-processing workloads.
- AWS, Bedrock, and Amazon's chips are viewed as the main earnings drivers.
- Shopper data and an agentic Alexa could help Amazon adapt to agentic commerce.
- Management has time to develop a response to changing advertising economics.
Risks acknowledged
- Agentic shopping could undermine the advertising layer.
- Diesel prices and shipping expenses may have hurt the quarter.
- Product execution remains uncertain.
- Near-term stock reactions are difficult to forecast.
BEBloom EnergyThe hosts view Bloom Energy as an upstream beneficiary of AI's power requirements, relatively insulated from uncertainty about which application companies win. They discuss its factory expansion and sharp daily swings without giving a stock-price target.
Key Arguments
- AI systems need electricity regardless of the winning model or shopping agent.
- Factory expansion supports the infrastructure thesis.
- Chris regrets not adding during a recent decline.
Risks acknowledged
- Shares are swinging roughly 10% or more in a day.
- Debt and interest-rate concerns affect AI infrastructure investments.
Predictions (1)
METAMeta PlatformsThe hosts doubt that Meta's newly announced Reddit competitor will succeed. Their criticism concerns the product's fit and user trust rather than a broad forecast for Meta shares.
Key Arguments
- Meta's networks organize around personal relationships, whereas Reddit organizes around shared interests.
- The hosts see previous expansion attempts as unsuccessful.
- Chris argues users do not trust Meta enough to share deep opinions.
Risks acknowledged
- The hosts have little information about the newly announced product.
- The announcement initially moved Reddit shares lower.
Predictions (1)
Shopify appears positioned to benefit from agentic shopping, but Chris questions whether AI agents could recreate its functionality and retain the economics themselves. He leaves the outcome unresolved.
Key Arguments
- Agentic shopping could expand automated commerce.
- Advanced agents might build competing commerce infrastructure.
Risks acknowledged
- The hosts cannot determine where value will accrue.
- The replacement scenario is framed as a question rather than an endorsed forecast.
GOOGLAlphabetThe hosts see Google's YouTube content and other owned data as advantages in AI development. They express anticipation for Gemini but do not make an independently endorsed investment prediction.
Key Arguments
- YouTube supplies broad video content.
- Owned data could reduce dependence on external licensing.
- Dave prefers Google reviews to Yelp reviews.
Risks acknowledged
- YouTube is increasingly populated by AI-generated videos.
- Rights to use email for training are questioned.
- Claims about the next Gemini release are attributed to rumors.
AAPLAppleDave would prefer Apple to consolidate personal AI assistance because of its access to his main communication channels and its privacy architecture. This is a product preference rather than a prediction that Apple will win.
Key Arguments
- Integration with Apple Mail and iMessage could simplify personal assistance.
- On-device processing and private cloud compute appeal to Dave.
Risks acknowledged
- Multiple competing assistants currently fragment context.
- The hosts differ about Siri's current capabilities.
NVDANVIDIANVIDIA appears as an external chip supplier in the discussion of Amazon's infrastructure strategy. The hosts make no direct NVIDIA investment forecast.
Key Arguments
- Amazon's own chip designs may reduce dependence on outside suppliers.
Hedges & Caveats
- The hosts question research about synthetic-data degradation and acknowledge uncertainty about how AI evolves.
- Reddit's user growth has slowed, and the extent of AI-generated content on its platform is unknown.
- Licensing enforcement outside the United States and unauthorized access remain uncertain.
- A Reddit acquisition or major licensing announcement is a possibility rather than a certainty.
- Agentic shopping could damage Amazon's advertising business even while benefiting AWS.
- Rapid AI developments make short-term market reactions difficult to predict; Chris is controlling leverage.