
What happened
Semiconductor and AI stocks have tumbled over the past week, with memory chip stocks Micron and SanDisk dropping more than 10% and 25% respectively, raising questions about whether the AI trade can maintain momentum. This earnings season is expected to show 20%-plus growth for the S&P 500, driven largely by AI, but investors now want proof that massive capital spending is generating returns.
Why it matters
Hyperscalers are set to spend $650 billion(約100兆円) on AI infrastructure this year, yet recent market jitters suggest investors need to see tangible monetization before betting further. Alphabet reports earnings on Wednesday as the first major tech player to reveal whether its AI investments are paying off. Strong results from these companies matter because they form the foundation of the entire AI ecosystem and set the tone for the sector's credibility.
What to watch
The earnings reports from Alphabet and other hyperscalers will be critical signals. Taiwan Semiconductor Manufacturing raised its capital spending plans due to rising equipment costs but also hiked revenue guidance on strong demand, signaling confidence—but the broader market's reaction to capex growth versus actual profit delivery will determine whether the AI trade can recover from this week's losses.
Summaries like this, in your inbox every morning.
The AI trade entered earnings season under pressure after a sharp selloff in semiconductor stocks—the very companies that powered the sector's gains earlier this year. Memory chip makers like Micron and SanDisk, described as "the golden child of this AI revolution" by analysts, have tumbled into bear-market territory, signaling investor concern that enthusiasm has outpaced fundamentals. The market's anxiety centers on a fundamental mismatch: hyperscalers have committed to spend $650 billion(約100兆円) on AI infrastructure this year, a massive capital commitment driven partly by competition and rising equipment costs (as evidenced by Taiwan Semiconductor's capex hike), yet investors lack clear evidence that these investments will generate proportional returns. This earnings season will test whether that narrative changes. Alphabet's Wednesday report arrives as the opening bell for Big Tech's earnings, carrying outsized significance because these hyperscalers form the foundation of the entire AI ecosystem. If their results demonstrate strong monetization of AI spending rather than just capex growth, it may restore confidence and halt the recent rotation out of the sector. If earnings disappoint or merely show rising costs without commensurate revenue gains, the market may view this as confirmation that the AI capex cycle has run ahead of real business returns.
Pick your industry and the AI tools you use, and get news related to your work every day.
Free · 30 seconds with Google · unsubscribe anytimeWhat is AIToday? →
Ask AI anything about this article. The AI reads this article, earlier AIToday articles, and Wikipedia, and cites its sources. Q&As are published on this page for other readers too.
In Q2, billionaires or their funds sold six 'Magnificent Seven' AI stocks

Nvidia was rising early Friday, even as the wider chip sector kept falling, Barron's reported

ElevenLabs completed a $300 million employee tender at a $22 billion valuation, and co-founder Mati Staniszews…

On October 15, OpenAI announced the Rosalind Academic Plan, giving approved US university labs free access to…

Neostellar Capital principal Evan Schlossman said CoreWeave's $103.7 billion in remaining performance obligati…

Supermicro Computer appointed Mark Long as chief financial officer, bringing an experienced technology finance…
