Over the past year, AI has undoubtedly emerged as one of the most important investment themes in global capital markets.
From major tech companies ramping up capital expenditures, to cloud platforms building new AI data centers, and semiconductor firms breaking performance records, AI has evolved beyond a mere new technology. It’s now a driving force behind global growth in the tech industry.
However, market progress hasn’t been without challenges.
Entering the second quarter, the AI chip sector experienced a notable correction. Some investors grew concerned about lofty valuations, slowing capital expenditure growth, and whether corporate profits could be sustained. Market sentiment turned cautious, and the semiconductor index saw a series of pullbacks.
Yet this week, market momentum shifted once again. As the second-quarter earnings season approaches, capital is flowing back into the AI sector. In the latest trading session, the Philadelphia Semiconductor Index rebounded sharply, the Nasdaq continued to strengthen, and tech stocks became a major driver of US market gains. Notably, Broadcom’s stock rose after announcing a renewed long-term custom chip partnership with Apple. Memory chip makers and AI infrastructure companies also rallied, signaling sustained investor interest in the long-term development of the AI value chain.
Compared to last year, when trading largely centered on the AI "concept," investors’ focus has shifted. Now, the key questions are: Can AI continue to generate revenue? Are large-scale capital investments starting to translate into profits? These questions are becoming the new core logic behind the current AI rally.
Why AI Is Back in the Market Spotlight
Recent market performance shows that renewed enthusiasm for AI is no accident. With earnings season about to kick off, the consensus is that tech companies will maintain robust profit growth. According to market research, the tech sector is expected to be one of the fastest-growing industries in the S&P 500 for earnings in Q2, prompting investors to position themselves ahead of time.
AI infrastructure investment remains strong. Both major cloud service providers and leading global internet companies have continued to ramp up data center construction over the past year. As AI models grow in scale, demand for GPUs, HBM high-bandwidth memory, network switch chips, and high-speed interconnects keeps rising. This means the entire AI hardware supply chain still has significant market potential.
The market has also seen new catalysts recently. Broadcom’s announcement of an extended custom chip partnership with Apple through 2031 not only boosted expectations for Broadcom’s business stability, but also reinforced investor confidence in the long-term prospects of the AI custom chip market. At the same time, memory chip stocks moved higher, showing that capital is once again looking at opportunities across the AI hardware ecosystem—not just at a handful of industry leaders.
It’s important to note that this rally isn’t simply a repeat of last year’s AI boom.
Last year, the market traded mostly on "future imagination." This year, investors are paying much closer attention to actual corporate performance. Which companies can consistently secure AI orders? Which firms can improve profit margins? And can AI investments deliver stable cash flow? These are now key criteria for evaluating corporate value.
As a result, while capital is flowing back into AI, performance is clearly differentiated. Companies with stable customers, technological advantages, and strong profitability are more likely to win market recognition, while concept stocks lacking earnings support find it hard to replicate previous surges.
Chip Stocks Are Rising—But What’s Really Being Traded?
Many investors equate the AI rally with "chip stocks going up." In reality, the market is trading not just a single product, but the entire AI infrastructure supply chain.
| Segment | Representative Direction | Function |
|---|---|---|
| AI Chips | GPU, CPU, HBM | Provide AI computing power |
| Network Infrastructure | High-speed switches, optical modules | Enable high-speed data transmission |
| Data Centers | AI servers, storage | Support model training and inference |
| Cloud Platforms | Cloud computing | Deliver AI services |
| AI Applications | Copilot, AI agent, search, productivity | Commercial implementation |
Chips are only the first link in the AI ecosystem. From GPUs, CPUs, high-bandwidth memory (HBM), to high-speed network switches, optical modules, servers, power management, and on to data center construction and cloud services, these segments collectively form the backbone of AI infrastructure. When the market is bullish on AI, it’s not just betting on one chip company—it’s assessing whether the entire supply chain’s investment cycle will continue over the next few years.
The recent sharp rebound in semiconductor indices underscores continued confidence in AI infrastructure demand. However, unlike the previous "anything AI goes up" phase, capital is now more focused on the pace of development across different supply chain segments and whether companies are truly benefiting from increased AI investment.
How Earnings Season Will Impact the AI Rally
With Q2 earnings season fast approaching, market attention on the AI sector is shifting from "expectations" to "validation."
Over the past year, the AI rally was largely fueled by companies ramping up capital expenditures, rapid advances in generative AI, and optimistic projections for future growth. Now, investors want to see whether these sustained investments are starting to translate into revenue, profits, and orders.
This makes the upcoming earnings season far more significant than a typical quarter. For chipmakers, the market is watching not only revenue growth, but also whether AI product orders are increasing, whether demand for advanced process chips remains strong, and whether data center business continues to drive growth. Meanwhile, the capital expenditure plans announced by major cloud companies will serve as a key indicator for the AI investment cycle.
If tech giants maintain high levels of AI infrastructure investment, strong demand across the supply chain is likely to persist. Conversely, if companies start to slow their investment pace, the market may reassess current AI sector valuations.
It’s also worth noting that investors are now taking a more rational approach to AI. Unlike last year’s chase for concepts, this year’s market is placing greater emphasis on earnings quality. Improvements in free cash flow, higher profit margins, and genuine commercial AI revenue are becoming increasingly important metrics.
For this reason, we may see further differentiation within the AI sector. Companies with mature products, stable customers, and ongoing innovation are better positioned to maintain a competitive edge amid market volatility. Those relying mainly on concept-driven valuations without real earnings support may face greater fluctuations.
For traders, this means watching the AI rally requires more than tracking stock prices. It’s essential to consider earnings data, industry orders, capital expenditures, and future guidance from multiple perspectives to truly understand market dynamics.
How Gate TradFi Helps Users Track Global Tech Markets
As AI becomes a central theme in global capital markets, more traders are looking at the relationship between tech stocks and the broader market—not just individual company performance.
In fact, the AI rally is now impacting not only the semiconductor sector, but also cloud computing, software, networking equipment, and data centers throughout the supply chain. At the same time, tech sector performance is influenced by macro factors such as interest rates, the US dollar, corporate profits, and market risk appetite.
So, tracking the AI market is also a window into the global tech industry and capital markets.
Gate TradFi offers CFD products covering global indices, precious metals, energy, and other traditional financial markets, giving users a more diversified perspective on market trends. For example, while monitoring the tech sector, users can also analyze indices and precious metals to assess whether capital continues to flow into growth industries or if risk appetite is shifting.
For traders, the value of multi-asset analysis is rising.
When expectations for tech company earnings growth increase, the Nasdaq often responds first. If the macro environment changes, bond yields, the dollar, and precious metals markets may adjust in tandem. The interplay between different assets provides more dimensions for understanding the market.
The current AI rally has entered a new phase.
The focus is no longer just on the concept of artificial intelligence itself, but on whether AI can sustainably create commercial value, whether each segment of the supply chain can deliver on growth expectations, and whether companies can maintain a competitive edge through ongoing innovation.
Looking ahead, AI will likely continue to drive global tech industry development, but market pricing will be more grounded in fundamentals rather than sentiment alone. For traders, keeping an eye on earnings, industry trends, and macro changes will be more valuable than simply chasing hot topics.
FAQs
Why is the AI chip sector back in the spotlight recently?
With Q2 earnings season approaching, the market is refocusing on tech companies’ earnings performance. Active AI infrastructure investment is also driving capital back into semiconductors and related supply chains.
What are the main drivers of the current AI rally?
Beyond earnings expectations, factors such as AI data center construction, cloud computing capex, advanced chip demand, supply chain orders, and macroeconomic conditions all play crucial roles in the AI sector’s performance.
How is this year’s AI rally different from last year?
Last year, trading was largely based on the AI concept. This year, investors are paying more attention to profitability, order growth, capital expenditure efficiency, and commercialization progress, with a greater focus on fundamentals.
What tech markets can Gate TradFi help track?
Gate TradFi offers CFD products covering global indices and other traditional financial markets, enabling users to monitor changes across the global tech landscape by analyzing various asset performances.
When tracking the AI sector, what else should you watch besides chip stocks?
It’s important to also monitor cloud service providers, data center construction, networking equipment, software platforms, and global tech indices, while factoring in macro variables like interest rates, the US dollar, and market risk appetite for a comprehensive analysis.
