AI wave returns: U.S. tech stocks lead the market toward all-time highs
Keywords: U.S. stocks, AI trade, tech stocks, S&P 500, all-time highs, Nvidia, Meta, SK Hynix
Introduction
Overnight, global capital markets once again witnessed a frenzy driven by artificial intelligence. All three major U.S. indexes closed higher, with the S&P 500 ending near record highs and tech stocks serving as the main engine of the rally. Among the biggest standouts, SK Hynix ADRs jumped more than 12% on their first trading day, Meta rose nearly 6%, and Nvidia climbed more than 4%. The signs are clear: after a brief pullback and period of caution, the AI trade is back at center stage with even stronger momentum. This not only reflects investors' firm confidence in AI's long-term prospects, but also signals a deep reshaping of capital-market structure by the next tech revolution. This article analyzes the drivers behind the rally, the logic behind the core names, and the likely path and risks ahead.
1. Indexes near record highs: sentiment fully recovered
The S&P 500 briefly touched a record area in last night's session and ultimately closed just shy of an all-time high. Technically, the index has rebounded more than 25% from its low last October, entering what is commonly called a technical bull market. But the more important point is that this rally is not just liquidity-driven; it is being supported by improving fundamentals and a powerful industry trend.
At the macro level, repeated shifts in Fed rate-cut expectations have not crushed risk appetite. Instead, the market is starting to price in a soft landing—or even a no-landing scenario. Meanwhile, U.S. Treasury yields have stabilized recently, with the 10-year yield around 4.2%, giving growth stocks a friendlier valuation environment. More importantly, capital rotation from defensive sectors such as utilities and healthcare into offensive tech stocks is becoming obvious, reflecting strengthening optimism about economic growth.
Trading volume and fund flow data also show that average daily turnover on U.S. exchanges has expanded noticeably over the past week, with tech ETFs drawing especially strong demand. Data shows that over the past five sessions alone, more than 3 billion dollars flowed into AI-themed ETFs. That kind of concentrated buying suggests institutional investors are systematically adding AI-related assets, not merely speculating in the short term.
2. AI leaders surge: Nvidia, Meta, and SK Hynix in sync
The soul of this rally is unmistakably the "AI trio"—Nvidia, Meta, and SK Hynix. These three companies represent compute, application, and storage layers of the AI infrastructure chain, and their collective strength shows the industry is shifting from concept hype toward real profit generation.
1. Nvidia: its dominance in AI compute remains unshaken
Nvidia jumped more than 4%, setting another record high. Despite controversy over its sky-high valuation, recent earnings and forward guidance have again proved the strength of its growth logic. H100 and next-generation B100 chips remain in short supply, and data-center revenue growth has stayed above 200% for three straight quarters. Most importantly, the upcoming Blackwell architecture could widen the gap with competitors even further.
Analysts believe Nvidia's moat is not just hardware performance; it is also the CUDA ecosystem. With more than 4 million developers building on CUDA, any alternative faces huge migration costs. As enterprise AI deployments move from pilot to scale, Nvidia's order visibility now extends into 2025. The market widely expects fiscal 2024 EPS to exceed 25 dollars, which means that even at a 40x P/E, the stock still has room to run.
2. Meta: an open-model commercial breakout
Meta rose nearly 6%, helped by multiple catalysts. On one hand, its latest open-source model Llama 3 outperformed rivals on several benchmarks, and the company announced a full rollout of AI assistant features across its social platforms, which directly improves ad-targeting efficiency. On the other hand, concerns about losses in the metaverse have eased, as Meta said it will scale back non-core VR hardware investment and focus on AI-driven digital-ad monetization.
Financially, Meta's Q1 revenue grew 27% year over year, and ad revenue growth hit a two-year high. More importantly, AI-driven recommendation optimization lifted both user time spent and ad click-through rates. Morgan Stanley recently raised its target price to 580 dollars, arguing that Meta has transformed from a social media company into an AI-driven ad-tech platform.
3. SK Hynix ADR: the AI dividend for memory chips
SK Hynix ADRs surged 12% on their first day, becoming the market's star. As the world's second-largest memory-chip maker, the company is deeply benefiting from explosive demand for high-bandwidth memory (HBM) in AI servers. Reports say its HBM3E products are already being used in Nvidia's next-gen GPUs, with production slots booked into 2025. The company recently said it will invest 15 billion dollars to build new HBM production lines, showing strong confidence in demand.
Importantly, SK Hynix's DRAM and NAND businesses also benefit from AI data-center buildout. Compared with traditional servers, AI servers consume roughly 3x more DRAM and 5x more NAND. With global AI server shipments expected to compound at more than 40% annually from 2024 to 2026, SK Hynix's earnings leverage is enormous.
3. The whole AI chain is participating: capital resonance from upstream to downstream
This AI trade is not limited to a few companies. From optical modules and cooling components upstream, to cloud platforms in the middle, to AI application software downstream, the entire chain is attracting capital inflows.
1. Upstream hardware: optical modules and cooling demand explode
For example, leading names in optical modules have seen weekly gains of more than 10%. AI server interconnect architecture is driving demand for 800G optical modules far above expectations, while development of 1.6T products is also accelerating. Liquid cooling is benefiting too, as power consumption per AI server can be 5 to 10 times that of a traditional server, and penetration of liquid cooling is rapidly rising from around 5% to above 30%.
2. Midstream cloud services: capex budgets all turning up
Amazon AWS, Microsoft Azure, and Google Cloud all raised 2024 capex guidance in recent earnings, explicitly saying they will invest more in AI infrastructure. This arms-race style of spending directly boosts orders for upstream hardware companies. At the same time, the cloud vendors' own AI businesses are starting to generate meaningful revenue—Microsoft's Copilot subscriptions grew more than 80% quarter over quarter, delivering strong incremental lift to Azure.
3. Downstream applications: AI empowers traditional industries
From healthcare to finance, from education to manufacturing, AI applications are accelerating. One healthcare AI company reported experiment data showing its cancer-screening model now exceeds human radiologists in accuracy, sending its stock up 15% in a single day. In addition, AI-native SaaS companies are earning higher valuation premiums, with the market applying lower discount rates to their future cash flows than to traditional software companies.
4. The deeper logic: the commercialization inflection point for AI
The reason this AI rally is different from the concept-driven frenzy of early 2023 is that the commercialization path is becoming much clearer. Several factors are supporting it:
1. Big-model performance gains are driving adoption
Led by OpenAI's GPT-4o and Google's Gemini Ultra, large models have made significant gains in reasoning, multimodality, and cost efficiency. API calling costs have fallen nearly 90% over the past year, making AI adoption accessible even for small and mid-sized businesses. Enterprise AI deployments are shifting from optional to necessary, creating a positive feedback loop.
2. Enterprise IT spending is changing structure
CIO surveys show that in North American enterprise IT budgets for 2024, AI-related spending is expected to rise from 5% in 2023 to 15%. Traditional hardware and software purchases are being replaced by AI solutions. This structural shift means AI revenue durability will be much stronger than in previous tech cycles.
3. The regulatory environment is becoming clearer
Although the EU passed the AI Act, the market generally sees the rules as relatively permissive, and the U.S. has not yet introduced large-scale federal regulation. That has significantly reduced investor concerns about policy risk and made them more willing to assign higher valuation multiples.
5. Risks and outlook: beware of overheating and divergence
Despite the bright outlook, investors still need to stay rational. Overall valuations in the AI sector are now close to historic extremes. Nvidia, for example, is trading at over 30 times sales, and even if you factor in its compound growth over the next three years, the risk premium is still limited. If earnings season disappoints, stocks could see sharp pullbacks.
Geopolitical risk also cannot be ignored. U.S. export controls on semiconductors to China could tighten further, which would hurt companies such as SK Hynix because China remains an important market for memory chips. Meta and Google's overseas businesses may also face pressure from data-localization policies.
Finally, the AI industry itself has a winner-takes-most structure, and many smaller companies may never achieve sustainable growth. As the industry enters a consolidation phase, capital will continue to flow toward the leaders, while liquidity risk will rise for second- and third-tier names. Investors need to be selective and avoid chasing rallies blindly.
Closing thoughts
Last night's U.S. rally was a collective declaration that the AI industry is moving from story to reality. The S&P 500's near-record level and the strong performance of tech stocks are not castles in the air—they are built on solid earnings growth, a clear commercialization path, and abundant institutional capital. SK Hynix ADR's debut, along with continued breakthroughs by Nvidia and Meta, paints a broad picture of AI enabling the whole economy.
Looking ahead, AI trading is likely to remain the core theme of global capital markets in 2024 and 2025. But as with every technological revolution, bubbles and reflection tend to alternate. Investors should embrace the opportunity while staying alert to valuation, policy, and competition risks. Only then can they stay on the right side of the AI wave.
