Samsung Eyes Record Profit, Semiconductor ETFs in Focus

The AI semiconductor supercycle maintains powerful momentum in 2026. Samsung Electronics is projected to report record quarterly earnings driven by chip price increases and surging AI demand. TSMC and Nvidia are also expected to deliver earnings surprises, with benefits across the global semiconductor supply chain reflected in ETF markets.

1. Behind Samsung's Record Quarter

Samsung's strong performance stems from three factors. First, HBM (High Bandwidth Memory) prices have risen over 20% quarter-over-quarter due to explosive AI server demand. Second, commodity DRAM and NAND prices have recovered through supply discipline. Third, foundry division utilization has improved with growing AI chip manufacturing volume. These three drivers combine to push quarterly operating profit to historic highs.

2. The AI Supercycle Across the Semiconductor Value Chain

The AI industry's explosive growth benefits the entire semiconductor value chain. Nvidia's GPUs are essential for AI training, while TSMC serves as the core foundry manufacturer. AMD and ARM show strong growth in AI inference chips. DeepSeek's announcement of running its V4 model on Huawei chips demonstrates how US-China tech competition further stimulates semiconductor demand.

3. SOXX vs SMH: Semiconductor ETF Comparison

The primary vehicles for semiconductor sector investment are SOXX (iShares Semiconductor ETF) and SMH (VanEck Semiconductor ETF). SOXX holds 30 U.S.-listed semiconductor companies with near-equal weighting for broader diversification. SMH concentrates on large-caps like TSMC and Nvidia, making it more sensitive to AI momentum. Use an asset allocation calculator to review semiconductor weight within tech allocation, keeping it within 10-15% of total portfolio for volatility management.

4. Caution with TQQQ Leveraged Approach

Some investors consider leveraged ETFs like TQQQ (ProShares UltraPro QQQ) to capitalize on semiconductor rallies. TQQQ tracks 3x daily returns of the Nasdaq-100, offering amplified gains when semiconductor-heavy Nasdaq rises. However, in the current high-volatility environment from geopolitical tensions, volatility decay can significantly erode returns. TQQQ should only be used as a short-term trading tool, while SOXX or SMH are appropriate for longer-term positions.

5. Conclusion

The AI semiconductor supercycle is being validated by earnings from Samsung, TSMC, and Nvidia. Use a rebalancing calculator to review semiconductor sector weight in your portfolio and build core positions through SOXX or SMH for diversification. Leveraged products like TQQQ can generate unexpectedly large losses in volatile markets, so they should only be used in small allocations within risk tolerance limits.