Applied Materials’ Earnings Fail to Impress Despite AI Growth

David Brooks
7 Min Read



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The numbers were right. The reaction was not.

From the polished conference rooms of Wall Street to the glowing screens of retail investors, the story of this earnings season has been one of relentless, AI-fueled growth. With nearly 90% of the S&P 500 having reported, the data speaks for itself. According to FactSet, second-quarter earnings are on pace to rise 50% year-over-year, the highest growth rate since 2021. Bank of America strategists have rightly labeled artificial intelligence the “growth engine” of this broad-based surge. The narrative seemed unassailable, a one-way street paved with silicon and shareholder value. Then, this week, a curious pattern emerged—a market hiccup that reveals more about investor psychology than corporate performance.

Take Applied Materials. The semiconductor equipment giant, whose machinery is fundamental to building the AI chips powering this revolution, just posted a record $9.12 billion in fiscal third-quarter revenue. Earnings per share soared 43% to $3.17. CEO Gary Dickerson pointed to “rapid global adoption of AI” driving “unprecedented demand.” The outlook was even stronger, with a forecast for Q4 revenue around $10.25 billion. The company is investing in new manufacturing capacity to meet projected demand through the end of the decade. By any fundamental measure, it was a stellar report. Yet, the stock fell over 3% in after-hours trading.

Applied Materials was not alone in this paradox. Consider Cisco. The networking behemoth, now deeply entrenched in AI infrastructure, reported fiscal Q4 revenue of $17.3 billion, an 18% jump that handily beat Wall Street’s $16.8 billion estimate. Profits also surpassed expectations. Its guidance for the coming year was robust. Still, the stock dipped 2% after the bell. Or look at Cerebras Systems, the ambitious AI chip designer challenging Nvidia. The company raised its annual forecasts on the back of a 74% sales surge and a dramatically narrowed loss, fueled in part by a monumental $20 billion deal to supply AI compute to OpenAI. Its stock? It plunged nearly 18%.

This divergence between headline numbers and market response isn’t random noise. It’s a signal. After a historic run, where simply mentioning “AI” could lift a stock, we are entering a new, more discerning phase. The market is moving from betting on the potential of AI to scrutinizing its profitability and execution. It’s no longer enough to ride the wave; companies must prove they can navigate it better than anyone expected.

The reaction to Applied Materials’ report is a textbook case. The figures were excellent, but they may have simply met the market’s extremely elevated expectations, not exceeded them. In a sector that has seen valuations soar, “good” can sometimes be a disappointment. As noted by analysts at Morgan Stanley in a recent sector overview, the semiconductor equipment cycle is in a “strong upturn,” but investor focus has sharpened on order trends and capacity expansion timelines. When Applied Materials talks of investing for demand “through the end of the decade,” the market may be parsing that for any hint of a future slowdown in growth rates, no matter how distant.

Contrast this with the stocks that surged on earnings:

  • Supermicro
  • CoreWeave
  • Nebius
  • Cisco
  • Cerebras Systems
  • Applied Materials

Supermicro, the AI server maker, saw its shares jump over 13%. Why? While its Q4 revenue was essentially in line, its Q1 sales guidance of $14.5 to $15.5 billion shattered analyst estimates of $11.9 billion. That’s a forward-looking beat of monumental proportions. Similarly, cloud provider CoreWeave surged 18% after reporting revenue that beat expectations and a loss that was smaller than feared. CEO Michael Intrator stated the company reached an “important inflection point” where scale is translating into operating leverage. For Nebius, another cloud player, a 514% year-over-year explosion in AI cloud revenue sent its stock soaring 18%.

The lesson is clear: In this market, stellar past performance is priced in. What moves stocks now is the future guidance that outstrips an already bullish consensus, or tangible evidence that growth is accelerating into new territory. It’s a shift from backward-looking confirmation to forward-looking surprise.

This doesn’t diminish the underlying strength of the AI build-out. If anything, the Applied Materials forecast confirms it. The demand for advanced packaging, DRAM, and leading-edge foundry-logic chips—all essential for AI—remains “unprecedented,” as the company stated. Data from the Semiconductor Industry Association (SIA) shows global semiconductor sales continuing to climb, driven by demand for memory and logic. The structural growth story is intact.

But financial markets are discounting mechanisms. They trade on what will happen, not what just did. The mild sell-off in a stock like Applied Materials, after such a strong quarter, may reflect a market that is healthily catching its breath, repricing for a longer, more sustainable growth trajectory rather than a speculative frenzy. It’s a sign of maturation, not weakness.

As we close the books on a remarkable Q2 earnings season, the message for investors is nuanced. The AI revolution is real and its financial impacts are already staggering, as evidenced by the 50% earnings growth for the S&P 500. Companies like Applied Materials are at the heart of it, printing record results. Yet, the market’s daily verdict reminds us that in finance, context is everything. Exceptional results can be ordinary if they were perfectly anticipated, and a guided leap into the unknown can be worth more than a confirmed triumph. The engine is still roaring, but the market is now keenly listening for any change in its tune.

Company Q4 Revenue Stock Reaction
Applied Materials $9.12 billion Down 3%
Cisco $17.3 billion Down 2%
Cerebras Systems 74% sales surge Down 18%
Supermicro Q1 guidance $14.5-$15.5 billion Up 13%
CoreWeave Above expectations Up 18%
Nebius 514% AI cloud revenue growth Up 18%


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David is a business journalist based in New York City. A graduate of the Wharton School, David worked in corporate finance before transitioning to journalism. He specializes in analyzing market trends, reporting on Wall Street, and uncovering stories about startups disrupting traditional industries.
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