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Who in Big Tech Is Ready for Agentic AI?

Motley Fool Money · Travis Hoyer — Lou Whiteman, Rachel Warren · March 11, 2026

Most important take away

Amazon’s court victory blocking Perplexity from scraping its site reveals the deeper strategic threat: AI shopping agents are “eyeless shoppers” that don’t see ads, don’t browse sponsored results, and could erode the $40B+ advertising machine that powers Amazon’s flywheel. Meanwhile, Oracle’s $553B backlog and 84% cloud growth show AI infrastructure demand is real, but the company is spending so aggressively ($25B negative free cash flow in one quarter) that execution risk is significant.

Summary

Actionable Insights & Investment Advice:

  • Amazon (AMZN) is playing defense on AI shopping. The Perplexity court win buys time, but the fundamental threat remains: AI agents that comparison-shop across retailers bypass Amazon’s ad-driven flywheel. Watch how Shopify and other platforms position themselves as AI-friendly alternatives for merchants.

  • AI shopping agents could be the killer consumer app. Instant, complete comparison shopping across all retailers — “tell your AI friend to find the best price” — is the use case that could reshape e-commerce. The chicken-and-egg problem: AI models need this killer app for volume, but retailers won’t cooperate until forced to.

  • Shopify (SHOP) could be an unexpected AI beneficiary. If AI agents can discover small merchants directly, the Amazon tax (advertising costs, fees) becomes avoidable. Small merchants on Shopify could benefit from a more open AI shopping ecosystem.

  • Meta (META) acquiring Mo Book signals pivot to autonomous agents. The “social network for AI bots” acquisition is really about building infrastructure for AI agents to interact and transact — potentially powering Meta’s ad machine in new ways. Meta’s challenge: they don’t have a natural consumer-facing path for AI tools the way Microsoft or Google do.

  • Oracle (ORCL) posted its best growth in 15 years. $553B RPO backlog (up 325%), 84% cloud growth. But spending aggressively: $25B negative free cash flow in one quarter, $135B total debt. Management forecasting $60B to $90B revenue by 2027. The “bring your own chips” model de-risks some capex. Stock reflects the optimism — future execution is the question.

  • Oracle’s RPO backlog may include speculative capacity grabs. Customers are securing data center capacity they may not fully need yet because they fear missing out. Not all of that backlog will necessarily convert to revenue at the pace implied.

  • The commoditization question looms for all AI companies. Meta, OpenAI, and Perplexity all face the same challenge: how do you monetize AI in what’s becoming a race to the bottom? The company that solves distribution to consumers wins.

Stocks Mentioned:

  • Amazon (AMZN) — Defensive position on AI; $40B+ ad revenue at risk from AI shopping agents
  • Meta (META) — Acquiring AI talent aggressively; Mo Book acqui-hire; unclear consumer AI path
  • Oracle (ORCL) — Highest growth in 15 years; massive backlog but massive spending
  • Shopify (SHOP) — Potential beneficiary of AI-driven commerce disruption
  • Perplexity — Lost court case vs Amazon; represents the AI agent threat to traditional retail
  • Alphabet (GOOGL) — Referenced as having spent $40B on AI acquisitions

Chapter Summaries

Chapter 1: Amazon vs. Perplexity — The AI Shopping Threat Amazon won a court ruling blocking Perplexity from scraping its site. The deeper issue: AI shopping agents are “eyeless shoppers” that skip ads and sponsored results, threatening Amazon’s $40B+ advertising revenue. This buys time but doesn’t solve the structural challenge. Shopify could emerge as an AI-friendly alternative ecosystem.

Chapter 2: Meta Acquires Mo Book Meta acquired Mo Book, a “social network for AI agents.” While it sounds strange, it’s really about building infrastructure for autonomous AI agents to communicate and transact. Part of Meta’s broader strategy under the superintelligence labs led by former Scale AI CEO Alexander Wing. Meta’s challenge remains getting AI tools into consumer hands — their current in-app AI prompts are ineffective.

Chapter 3: Oracle’s Massive AI Quarter Oracle reported its best growth in 15 years with $553B in remaining performance obligations (up 325% YoY) and 84% cloud growth. However, they had negative $25B free cash flow and $135B in debt. Their “bring your own hardware” model has customers providing their own chips, de-risking some buildout. Management targets $90B revenue by 2027, up from ~$60B now. The RPO backlog is impressive but may include speculative capacity grabs.