With Intel, AMD, Nvidia, and More Rising Sharply Last Week, Have Chip Stocks Become Overvalued?

Chip stocks rallied after strong Q1 earnings and guidance from Intel and Texas Instruments reinforced the AI demand boom, while Nvidia also hit new all-time highs. Intel reported 7% year-over-year revenue growth versus a 4% decline last quarter, Texas Instruments accelerated to 19% growth, and Broadcom/Nvidia showed similarly strong AI-driven momentum. However, the article argues valuations are stretched, citing forward P/E ratios of about 160 for Intel, 37 for Texas Instruments, 51 for AMD, 38 for Broadcom, and 26 for Nvidia.

Analysis

The interesting shift here is not “AI demand is strong,” but that the bottleneck is migrating from the GPU headline trade into the plumbing underneath it. If inference, edge deployment, and power delivery are the next leg, then the second-order winners are the firms with mixed exposure to sockets, power management, packaging, and analog content — the parts that scale with capex intensity even if unit growth slows. That makes the current move in INTC and TXN more important as a read-through for the industrialization of AI infrastructure than for their standalone earnings prints.

The market is also signaling a rotation from pure scarcity premium in Nvidia-style compute to broader supply-chain monetization, but that creates a valuation trap: when multiple layers of the stack rerate at once, the aggregate bill of goods rises faster than the addressable earnings pool. In other words, every supplier can “win” on the same capex dollar only until the customer base starts optimizing spend, which usually shows up first in purchase timing elongation and inventory normalization, not in outright demand collapse. That is why the next 1-2 quarters matter more than the next 1-2 years for trading this tape.

The contrarian setup is that consensus is extrapolating AI capex growth as if supply constraints are irrelevant, but constraints often surface in packaging, substrates, power delivery, and working capital before they show up in top-line prints. If hyperscalers keep spending, AVGO and NVDA can still outperform, but the asymmetric risk is that forward estimates become too aggressive relative to deployment cadence, leading to multiple compression even with decent fundamentals. The market is paying for uninterrupted linearity; any sign of digestion could hit the most crowded names first.

Key Decisions for Investors

• Maintain a tactical long AVGO / short NVDA pair for the next 1-2 quarters: AVGO has broader monetization across networking, custom silicon, and software, while NVDA remains the cleaner crowded-duration expression if AI spend pauses; target 8-12% relative outperformance, stop if hyperscaler capex guides up again.
• Buy TXN on any 5-7% post-earnings pullback only, with a 3-6 month horizon: the setup is less about near-term AI excitement and more about incremental pricing power in power/analog content; use a covered call overlay to reduce multiple-risk if growth decelerates.
• Fade INTC strength after the open-rally phase with a 1-2 month short or put spread: the move is likely more sentiment-driven than structurally self-funding, and the business can still disappoint if AI-related packaging demand gets pushed out; risk/reward favors defined-risk options over outright shorting.
• Trim broad semiconductor beta into strength via SOXX or SMH hedges for 2-4 weeks: if the group has already repriced the good news, upside requires perfect execution plus no supply-chain hiccups; a small hedge protects against multiple compression while preserving exposure to the strongest operators.
• If you need an outright AI long, prefer AVGO over AMD for a 6-12 month horizon: AMD’s rerating is more dependent on market-share expectations that can slip with product timing, while AVGO has more diversified cash-flow support and less binary execution risk.