Blog

DEEP RESEARCH · ALPHABET/QUANTUM COMPUTING

Alphabet Quantum Computing: Why I Track It as a Hedge Against an AI Bubble Trigger

A short research note reframed around quantum computing as a risk monitor for the AI cycle

Written: 2025-10-26 · Quantum computing/AI cycle risk · Original Naver Blog post

Investment decisions are your own responsibility. This material is research, not a recommendation to buy or sell.

0. Bottom line first

The reason I keep studying quantum computing is simple. I think a trigger that deflates the AI bubble could potentially come from quantum computing. That is why I believe this field needs steady follow-up, and I am invested through an ETF for hedging purposes.

Observation frameViewing quantum computing from the other side of the AI cycle
AI bubbleElevated expectations and valuation
Quantum computingPotential technology shift
TriggerA crack in the existing compute narrative
HedgeDiversified ETF exposure
The point is not prediction certainty. It is continuous monitoring of a large cycle risk.

1. Why quantum computing

Interpretation: The original post is less about company-level earnings and more about the structure of the investment cycle. As expectations around AI infrastructure and GPUs rise, quantum computing remains a possible stress point because it could change the computing paradigm.

2. Investment approach

Follow-up

Steady learning

Quantum computing should be tracked through technical milestones and ecosystem changes rather than short-term earnings alone.

Hedge

Using an ETF

The original investment angle is not concentration in a single stock, but ETF exposure as a hedge against AI cycle risk.

Sources

Naver original