AI Adoption Drives 48% Tech Allocation in Schwab U.S. Large-Cap Growth ETF

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Schwab U.S. Large-Cap Growth ETF maintains a 0.04% expense ratio and allocates 48% of its portfolio to technology, led by NVIDIA as its top holding. The fund has outperformed the S&P 500 and rivals like MGK over multiple timeframes, although it trails QQQ over the past decade.

1. Performance & Risk Profile

Schwab U.S. Large-Cap Growth ETF (SCHG) posted a 17.88% total return over the 12 months ending January 15, 2026, with an expense ratio of just 0.04% and a dividend yield of 0.36%. As of that date, assets under management stood at $53 billion. Over the past five years, SCHG delivered a growth of $1,000 into $2,036, while its maximum drawdown measured –34.59%. A five-year beta of 1.17 indicates moderate sensitivity to broader market swings, suggesting investors should prepare for occasional steeper pullbacks in exchange for above-average growth potential.

2. Portfolio Composition & Exposure

SCHG holds 198 large-cap U.S. growth stocks, offering broader diversification than many peers. The portfolio is weighted 45% in information technology, 16% in communication services and 13% in consumer discretionary. Its top three positions—Nvidia, Apple and Microsoft—represent 29% of assets, while the remainder is spread across nearly 200 names. No leverage, currency hedging or ESG screens are employed, reflecting a pure play on domestic large-cap growth trends driven largely by technology adoption.

3. Long-Term Growth Outlook

With rapid integration of artificial intelligence across corporate America, SCHG’s heavy technology allocation positions it to capture next-generation productivity gains. The fund has outperformed the S&P 500 and peer ETF MGK across multiple timeframes, though it trails a tech-focused benchmark over ten years. Investors seeking a low-cost, tax-efficient vehicle for sustained exposure to large-cap innovators may find SCHG’s combination of sector leadership, proven multi-year returns and sub-0.05% fees attractive for a buy-and-hold core allocation.

Sources

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