2 Chip Stocks That Have Gone Parabolic This Month. Should Investors Buy These High Flyers?

Texas Instruments reported Q1 revenue up 19% year over year to more than $4.8B and EPS up 31% to $1.68, with industrial revenue rising more than 30% and data center revenue up about 90%. Intel posted Q1 revenue of $13.6B, above prior guidance, with adjusted EPS of $0.29 and data center/AI revenue up 22% to $5.1B, but Q2 EPS guidance of $0.20 and stretched valuations temper enthusiasm. The article argues both stocks reflect a lot of optimism after sharp April rallies of about 40% for TXN and more than 70% for INTC.

Analysis

The market is rewarding a narrower thesis than the headlines suggest: this is less about a generic AI capex boom and more about a re-rating of “old” semiconductor content inside real industrial production and server refresh cycles. That matters because analog and CPU demand tend to lag the first wave of AI spend, so the current move may be marking a second, broader phase of the cycle rather than a one-quarter anomaly. The second-order winner is likely the ecosystem that sells into factory automation, power management, and server-side inference/coordination rather than just accelerators.

The key risk is that both names are now trading on narratives that need several quarters of confirmation. TXN’s multiple is pricing in a clean re-acceleration in industrial ordering, but industrial customers are the fastest to de-stock once visibility improves, so a modest Q3/Q4 pause could compress the multiple sharply. INTC’s valuation leaves even less margin for error: if the server CPU share gain is real, the market will now demand evidence of operating leverage, not just revenue growth, and any slip in margin progression could trigger a fast reversal over the next 1-2 earnings prints.

The more interesting contrarian read is that the rally may be right on direction but wrong on duration. AI-driven demand expansion into CPUs and power/analog content is likely real over 12-24 months, but the stocks have already discounted an uninterrupted path. That creates a classic setup where the businesses can keep improving while the equities stagnate unless estimates are lifted again; in other words, this is now a stock-selection and entry-timing problem, not a “buy the theme” problem.

From a portfolio perspective, the tradeable edge is to fade the valuation premium while keeping exposure to the underlying cycle. The cleanest expression is to own the higher-quality beneficiaries further down the chain where valuation remains less demanding and sell the two crowded re-rating names if volatility stays elevated. If AI broadening is the real driver, the best risk/reward should migrate away from these recent winners toward suppliers with less consensus ownership and more operating torque.

Key Decisions for Investors

• Short TXN into strength over the next 2-6 weeks via a call spread overwrite or small outright short against the industrial semiconductor basket; target a 10-15% drawdown if the market questions sustainability of orders, with tight risk control above the recent breakout level.
• Avoid chasing INTC after the earnings gap; if owning the turnaround, use call spreads or a small starter position only on a post-earnings consolidation over the next 1-2 months, because the forward multiple already discounts multi-quarter margin recovery.
• Pair trade: long a less crowded AI infrastructure beneficiary with lower earnings multiple, short TXN or INTC as the re-rating leg; this captures continued AI broadening while reducing exposure to multiple compression if the growth scare returns.
• For existing holders, trim 25-50% of TXN and INTC positions into strength and redeploy capital into names with similar end-market exposure but lower valuation risk; the expected holding period for the relative-value trade is 1-3 months.
• Use downside options on INTC if you want convexity: buy 1-2 quarter puts or put spreads after any failed breakout, since the stock can re-rate down quickly if Q2/Q3 guidance signals that the current beat is supply-driven rather than demand-driven.