Nasdaq Highs, AI Hangover
The Nasdaq Composite has clawed back from its first‑quarter correction and recently returned to all‑time highs, powered by mega‑cap tech and renewed enthusiasm for the Nasdaq AI rally. Yet under the surface, many prominent AI stocks are lagging or correcting. Wall Street’s much‑discussed “Great Rotation” out of tech saw investors dump richly valued growth names during the war‑driven scare in the Middle East, dragging the tech‑heavy index into correction territory before buyers resurfaced. Even during up days, leadership has narrowed around a handful of giants, while more speculative AI software and infrastructure names remain stuck in their own bear markets. Episodes like the recent session where sinking AI stocks and higher oil prices pulled the Nasdaq down nearly 1% from record levels show how fragile sentiment can be when expectations, valuations, and geopolitical risks collide. For retail investors, the headline index no longer tells the full AI story.
Rotation Out of Tech: Why Palantir and Peers Are Under Pressure
The AI stocks rotation has been most visible in high‑multiple software names. Palantir’s AI stock, for example, has fallen roughly 18% this year after a red‑hot rally since 2023, even though its earnings are “rocketing higher.” Its trailing price‑to‑earnings multiple near 232 and forward multiple above 100 remain far above sector averages, and its sales multiple towers over typical tech peers. Similar dynamics hit software‑as‑a‑service companies more broadly: many are still posting respectable top‑line growth, but few outside Palantir have clearly accelerated from AI, feeding a narrative that some software might be long‑term AI losers. Profit‑taking, war‑driven risk aversion, and rising skepticism about long‑duration growth stories have all contributed. The irony is that this reset is also creating entry points. As valuations compress while fundamentals improve, high‑quality platforms with strong Rule of 40 scores and deep integration into customer workflows may emerge as some of the best AI growth stocks for patient investors.
Magnificent Seven Strength, Magnificent Seven Risk
At the other end of the spectrum, the AI narrative is still dominated by the so‑called Magnificent Seven. Nvidia remains the face of AI chips, powering model training and inference, and is now evolving into an end‑to‑end infrastructure provider. Alphabet, Amazon, Meta, and Microsoft are pouring unprecedented capital into data centers, custom silicon, and cloud AI services. Alphabet alone plans an enormous step‑up in capital expenditures, while Microsoft’s quarterly capex recently surged by 66%, spooking investors before analysts argued the spending was justified by a once‑in‑a‑generation AI opportunity. These giants look like the safest way to ride AI, but they carry Magnificent Seven risk: huge overconcentration in a few names, regulatory scrutiny, and the possibility that rapid AI innovation shortens the life of expensive hardware. Even Alphabet’s management has acknowledged the danger that aggressive capex could age quickly if AI architectures shift, underscoring how cyclical swings can hit even trillion‑dollar winners.
Picks, Shovels, and the New AI Supply Chain
Beneath the headline giants, a new class of “picks‑and‑shovels” AI stocks is emerging. Lumentum, for instance, builds the optical components that allow AI data centers to move massive volumes of data using light rather than copper, a capability hyperscalers are rapidly standardizing on. The company’s multiyear strategic partnership with Nvidia, including a USD 2 billion (approx. RM9.2 billion) investment to expand manufacturing and R&D, highlights how critical these enablers have become. Taiwan Semiconductor Manufacturing sits even deeper in the stack, fabricating the advanced chips that power GPUs, CPUs, and custom AI accelerators from Nvidia, AMD, Alphabet, Amazon, Broadcom, and others. Meanwhile, AI‑focused data center operators like Applied Digital and alternative power providers such as Bloom Energy are positioning themselves as the physical backbone of AI factories. These businesses may be less visible than consumer‑facing apps, but their role in the infrastructure build‑out makes them central to the long‑term AI thesis.
What Retail Investors Should Expect Next
For retail investors, the message is not that AI is over, but that AI stocks are entering a more discerning phase. Profit‑taking after spectacular run‑ups, higher rate expectations, war‑driven volatility, and fatigue with lofty narratives are likely to keep AI‑linked software and infrastructure names bumpy, even if the broader Nasdaq AI rally resumes. Analysts already expect some second‑tier chipmakers like Broadcom, AMD, and Marvell to grow revenue faster than Nvidia over the next few years, underscoring how leadership can rotate inside the theme. Practically, that argues for diversification: combining core positions in resilient platform companies such as Alphabet or Microsoft with exposure across the stack—from foundries and networking to data centers and select application software. Volatility and corrections do not necessarily mean the end of the AI theme; they are the price of admission for a technology cycle that is still in its early innings and increasingly separating durable winners from speculative stories.
