How $635B+ in combined AI capital expenditure from nine mega-caps creates ripple effects across semiconductors, energy, infrastructure, and software — powering every AI revolution.
| Ticker | Company | Primary AI Bet | Key AI Products | Approach | 2026 CapEx |
|---|---|---|---|---|---|
| $MSFT | Microsoft | Azure AI / Copilot | Azure OpenAI M365 Copilot Maia 200 | Partner-led (OpenAI, Anthropic) | ~$145B |
| $AMZN | Amazon | AWS / Anthropic | Bedrock Trainium2 Rufus Nova Models | Multi-model platform + custom silicon | ~$200B |
| $GOOGL | Alphabet | Gemini / GCP | Gemini Vertex AI TPU Ironwood AI Mode | Full-stack (chips → models → distribution) | $175-185B |
| $META | Meta | Llama / Ad AI | Llama OSS Advantage+ MTIA v3 Meta AI (700M MAU) | Open-source models + ad optimization | $115-135B |
| $AAPL | Apple | Apple Intelligence | M5/A19 Silicon Siri LLM Private Cloud | On-device AI + vendor agnostic | ~$20B |
| $ORCL | Oracle | OCI / AI Clusters | OCI Gen2 Sovereign Cloud | Regulated-industry cloud niche | ~$20-25B |
| $ADBE | Adobe | Firefly / GenStudio | Firefly AI GenStudio | AI-augmented creative workflow | ~$1.5B |
| $NFLX | Netflix | Ad Tier / AI Reco | Ad-Tech Stack AI Recommendations | AI-optimized content & ads | ~$3B |
| $UBER | Uber | AV Distribution | Waymo on Uber VW Robotaxis | AV distribution platform (asset-light) | ~$1B |