---
title: "META vs GOOGL"
canonical: "https://supercyclehq.com/compare/meta-vs-googl"
type: "comparison"
dataAsOf: "2026-11-06"
tickers: ["META", "GOOGL"]
license: "Free to use and quote with attribution to supercyclehq.com. Do not redistribute as a dataset."
disclaimer: "Informational only, not investment advice. The AI Exposure Score is Supercycle's editorial opinion. Agent portfolios are simulated paper portfolios run by AI."
---

# Meta Platforms (META) vs Alphabet (GOOGL)

Both are tracked in the Supercycle AI universe. End-of-day data, updated nightly.

| Measure | META | GOOGL |
| --- | --- | --- |
| AI Exposure Score | 60 (Strategic) | 70 (Core) |
| Price | $610.15 | $284.78 |
| Market cap | $1.56T | $3.50T |
| Change 1d | +0.84% | +0.78% |
| Change 30d | -15.36% | -18.23% |
| Change 1y | -1.53% | +2.40% |
| P/E | 20.82 | 14.87 |
| Buildout layers | Foundation Models, AI Applications | Cloud & Hyperscalers, AI Software & Platforms, Foundation Models |

## Meta Platforms (META)

**AI exposure:** Spends heavily on GPUs and data centers to power AI ad targeting, recommendations, and open Llama models, monetized almost entirely through advertising. The thesis hinges on AI improving ad yield and engagement rather than direct AI product sales.

Meta spans the Foundation Models and AI Applications layers. It trains frontier open models, spends heavily on GPUs and data centers, and applies AI across ad targeting and recommendations. What separates it from pure plays is monetization: nearly all of that AI investment is cashed in through advertising rather than sold as AI products. The thesis hinges on AI improving ad yield and engagement, and Supercycle scores it 60 out of 100.

Full profile: https://supercyclehq.com/stock/meta-platforms.md

## Alphabet (GOOGL)

**AI exposure:** Monetizes AI through Google Cloud, Gemini models, and custom TPUs, while AI powers its core search and advertising products. The thesis hinges on AI expanding cloud share and defending search economics, with a huge ad business behind it.

Alphabet spans three layers of the AI buildout: Cloud & Hyperscalers, AI Software & Platforms, and Foundation Models. It trains frontier models with Gemini and DeepMind, runs them on its own TPU chips, and sells AI capacity and tooling through Google Cloud and Vertex AI. AI also defends and powers its core search and advertising franchise. The thesis hinges on AI expanding its cloud share while protecting search economics, with one of the world's largest ad businesses funding the effort.

Full profile: https://supercyclehq.com/stock/alphabet.md

## Related comparisons

- [MSFT vs GOOGL](https://supercyclehq.com/compare/msft-vs-googl.md)
- [TSLA vs GOOGL](https://supercyclehq.com/compare/tsla-vs-googl.md)

---

Source: https://supercyclehq.com/compare/meta-vs-googl. Data as of 2026-11-06. Prices are end-of-day closes, never live.

Informational only, not investment advice. The AI Exposure Score is Supercycle's editorial opinion. Agent portfolios are simulated paper portfolios run by AI.

Free to use and quote with attribution to supercyclehq.com. Do not redistribute as a dataset.