What stocks should you stick with when markets get choppy?

AI-linked tech stocks and chip names continue to outperform, with the NASDAQ 100 up in double digits since late March and names like AMD, Western Digital and Celestica appearing in strong portfolios. The article also highlights a framework for identifying durable winners based on revenue growth, margin expansion, EPS beats and competitive advantages, while citing HALO stocks such as Freeport-McMoRan, Entergy, Intel, Texas Instruments, Duke Energy and Micron. Overall, this is a bullish but mostly educational market commentary rather than a stock-specific catalyst.

Analysis

The market is rewarding a very specific factor cocktail: secular growth plus tangible earnings leverage. That favors the obvious AI beneficiaries, but the more interesting second-order effect is that capital is also rotating into businesses that can monetize infrastructure spending without being hostage to a single model cycle. In practice, that means semis and AI-adjacent hardware still have room to run, but the leadership breadth is likely to narrow as investors start discriminating between “AI exposure” and “AI cash flow” over the next 1-2 quarters.

The more durable theme is not AI itself, but scarcity of replacement. Heavy-asset businesses with pricing power, high capex barriers, and low obsolescence should act as a ballast if growth cracks. That creates a subtle relative-value opportunity: when risk appetite fades, the market may migrate from pure multiple expansion names into cash-generative franchises with less narrative beta. Names with operational leverage to industrial capex or utility/regulatory visibility should outperform on a drawdown, even if they lag in momentum-chasing tapes.

The main risk is that the current winners are crowded and therefore fragile to any earnings miss, export-control headline, or guidance reset. The AI trade has been front-loaded into expectations; the next leg likely requires evidence of real margin capture, not just revenue growth. If that proof point slips, the unwind could be sharp and fast over days, while the better-quality compounders should defend over months.

Contrarianly, the market may be underpricing the persistence of the non-flashy names with actual operating discipline. The consensus is still too willing to extrapolate beta in the hottest AI-linked names and too quick to dismiss regulated or asset-heavy businesses as ex-growth. That setup argues for selective rotation rather than outright risk-off positioning.

Key Decisions for Investors

• Stay long AMD / WDC / CLS on pullbacks for 2-4 weeks, but use tight stops: the upside is still momentum-led, yet these names are the most exposed to an earnings/guidance air pocket if AI capex expectations stall.
• Initiate a pair trade: long MSFT vs short APP or PLTR over 1-3 months. MSFT has better durability of cash flow and lower multiple fragility; the short leg is more vulnerable to a sentiment de-rating if risk appetite cools.
• Add a small defensive basket in DUK / ETR / EVRG / AZO for 3-6 months as a hedge against factor rotation. These names should outperform in a tape where investors start paying for earnings quality rather than story.
• Use FCX and TXN as a barbell: long FCX as a beneficiary of capex and electrification, long TXN as a steadier semiconductor compounder. This reduces dependence on the most crowded AI trade while keeping exposure to the same broad industrial buildout.
• Fade overextended AI sentiment with staged put spreads on a basket of the highest-beta leaders over 1-2 months. The risk/reward improves if the next catalyst is merely “in line” rather than a true positive surprise.