A widening performance chasm is separating semiconductor and software stocks, as investors reward chipmakers seen as direct beneficiaries of the artificial intelligence buildout.
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AI Chip Stocks Surge Past Software on Q1 Earnings Strength
A widening performance chasm is separating semiconductor and software stocks, as investors reward chipmakers seen as direct beneficiaries of the artificial intelligence buildout.
First-quarter 2026 earnings have underscored a clear investor preference for companies powering the AI revolution, fueling a sector rotation that has seen chip stocks like Nvidia and ON Semiconductor outperform. The trend highlights a market reallocating capital to tangible infrastructure providers over software firms with less direct exposure to the AI hardware boom.
"Our ability to innovate across the CPU, the GPU, networking, and software, and ultimately drive down cost per token is unmatched across the industry," Nvidia CEO Jensen Huang told analysts, explaining that data centers running on the company's hardware "generate the highest revenues."
The divergence is stark. ON Semiconductor (NASDAQ: ON) saw its stock climb 1.05% after reporting a 5% year-over-year revenue increase to $1.51 billion, beating forecasts on strong demand from AI data centers and the automotive sector. In contrast, smaller player Indie Semiconductor (NASDAQ: INDI) dipped 0.87% in aftermarket trading after its earnings per share of -$0.21 missed forecasts by 250%, signaling that not all chipmakers are rising with the tide.
This performance gap is forcing investors to look beyond sector-wide labels and scrutinize individual company execution and valuation. While the AI tailwind is powerful, the underlying results show a market of distinct winners and losers, with billions of dollars in market capitalization shifting based on proximity to the AI core.
A Tale of 2 Chip Giants
Nowhere is this divergence more apparent than in J.P. Morgan's recent analysis of Nvidia (NASDAQ: NVDA) and Intel (NASDAQ: INTC). Analyst Harlan Sur recommended buying Nvidia with a $265 price target, implying 32% upside, while simultaneously advising clients to sell Intel, setting a target of $45 that suggests 52% downside.
The rationale centers on Nvidia's full-stack dominance in AI training and inference, where its GPUs, CPUs, and networking platforms create an optimized, high-performance ecosystem. This integration, Sur argues, is a moat that Intel, despite its own recent earnings beat, cannot overcome. J.P. Morgan's team expects Intel to continue losing data center market share over the next year, attributing its strong quarter more to price increases than fundamental recovery.
Valuations Under Scrutiny
The surge in chip stock prices has brought valuations into sharp focus. Broadcom (NASDAQ: AVGO), a key supplier for AI and networking, has seen its shares soar 115.4% over the last year. According to analysis from Simply Wall St, this has pushed its price-to-earnings ratio to 81.04x, significantly above the semiconductor industry average of 48.06x.
Further analysis using a discounted cash flow (DCF) model estimates Broadcom's intrinsic value at approximately $329 per share, suggesting the stock could be overvalued by nearly 30% at its recent price of $427.45. This highlights a key risk for the sector: while earnings are strong, current stock prices may have already priced in several years of optimistic growth, leaving little room for error. The bull case for Broadcom hinges on sustained AI accelerator demand and software integration through its VMware acquisition, but bears point to high reliance on a few large customers and execution risk.
The current earnings season confirms that while the AI theme is a powerful driver for semiconductors, the market is not monolithic. Investors are rewarding companies like ON Semiconductor for solid execution while punishing misses from firms like Indie Semiconductor. The starkly different outlooks for giants like Nvidia and Intel, coupled with stretched valuations for high-flyers like Broadcom, suggest a complex landscape that requires a discerning, stock-by-stock approach.
This article is for informational purposes only and does not constitute investment advice.
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