### Current Situation
The sector has been in a sharp correction after an extremely parabolic 2025–early 2026 run. Heavy selling on Friday was mostly **profit-taking + rotation** after names like MU delivered strong earnings. This is classic "sell the news" behavior in a momentum-driven group.

### Why the Bull Case Is Still Alive
- **AI Demand Is Real** — HBM, custom ASICs, networking, and power semiconductors are still in a multi-year growth cycle. MU’s results reinforced that memory tightness and AI buildout are intact.
- **Long-Term Structural Tailwinds** — Data centers, autonomous tech, electrification, and AI inference are all increasing chip demand.
- **Breadth Improving** — Rotation into smaller names and value is healthy. Bull markets don’t usually end when leadership broadens.

### Risks That Could End the Run
- **Valuation** — Many names are still expensive. If AI capex slows or ROI disappoints, multiples can compress hard.
- **Macro** — Sticky inflation + potential Fed hikes could hurt growth stocks.
- **China / Geopolitics** — Trade tensions and export restrictions remain a wildcard.

### Near-Term Outlook (Next 1-2 Months)
- Expect more **consolidation and volatility**. The SOX index is likely to base before the next leg up.
- Leadership may rotate — memory (MU) and some AI infrastructure names could lead, while pure hype names lag.
- A retest of recent lows is possible, but a full bear market reversal looks unlikely unless we get major negative guidance from NVDA/TSMC or a macro shock.

**Bottom Line**:  
The semiconductor bull market is **intact** but entering a healthier, less euphoric phase. The easy money from the parabolic phase is over, but the structural growth story has years left to run. Expect steep corrections along the way due to bottlenecks, regulations, geopolitical flare ups, and any slowing of global liquidity.

Patience and selective buying on dips will be key. Stocks that show the most resilience, ie, they resist moving lower despite falling major indices, are the best bets. The run isn’t over — it’s just getting more selective.