The second half of the AI wave is no longer just about algorithms—it’s about who has the "hardest" infrastructure. While the market obsesses over Nvidia’s earnings fluctuations, the underlying logic has shifted: AI power centers are evolving into a multi-billion dollar arms race for electricity and land. From Oracle’s gigawatt-scale project in Texas to Meta’s deep-seated cloud partnerships, tech giants are making "manic" capital investments to lock in their seats before the next explosion of intelligence. 1. $Oracle(ORCL)$ – $420B Quietly, something shifted this quarter. For the first time, Cerebras chips got a shoutout on the earnings call. Oracle's now standing in the same sentence as $NVIDIA(NVDA)$ and

In his latest talk and report, AI Eats the World, Benedict Evans draws a clear distinction between the hype surrounding artificial intelligence and the nature of real technological transformation. In his view, the questions worth revisiting again and again are how generative AI will actually change the world—and who, in the process, will ultimately capture the value and profits.The report has attracted wide attention not because it names clear winners, but because it places the current AI boom back into a much longer technology cycle: the emergence of a new platform shift.1. Historical perspective: More like a platform shift than a simple technology upgradeIn Evans’ analytical framework, generative AI is not merely an incremental improvement in software functionality. Instead, it represent

Looking back at this AI boom, one shift is becoming clear: the market is no longer paying a premium for "talkative AI" alone.Whether it's copywriting, image generation, or more natural LLM interactions, these capabilities are rapidly being treated as baseline features. What truly drives valuation divergence is a more pragmatic question—whether AI can actually "get things done" and be embedded in the real world at scale.And in the U.S. stock market, few institutions have consistently stood at the intersection of technology and capital like Andreessen Horowitz (a16z). From cloud computing and mobile internet to this current AI cycle, a16z has always been early to see where the inflection point lies.a16z“ 2026In its newly released Big Ideas 2026 series, a16z doesn't dwell on "how smart AI is.

Source: This article is adapted from analysis shared by Jukan ✈️Semicon Japan (@jukan05) on X (Twitter), based on J.P. Morgan’s latest memory industry research.1. Market Cap Nearing $1 Trillion — Is the Rally Over?In its latest research report, J.P. Morgan $JPMorgan Chase(JPM)$ highlights that the combined market capitalization of leading global memory manufacturers is approaching $1 trillion. Based on historical valuation medians, JPM projects that this figure could expand to $1.5 trillion by 2027, implying over 50% upside potential from current levels for top-tier memory players.From an equity investor’s perspective, this framing is important: JPM is not merely forecasting earnings growth, but arguing that the entire valuation framework of the me

Over the past week, the United States has released a series of major signals in the AI field.    The White House launched a national AI initiative described as “the largest scientific mobilization since the Apollo Program.” Following the government’s collaborations with， $NVIDIA(NVDA)$ $Dell Technologies Inc.(DELL)$, $Hewlett Packard Enterprise(HPE)$ , and $Advanced Micro Devices(AMD)$ on next-generation supercomputers, AWS (Amazon Web Services) $Amazon.com(AMZN)$ also announced a US$50 billion investment in government cloud infrastructure. On the industry side, Elon Mus

Abstract：At AMD’s first Analyst Day in three years held on November 11th $Advanced Micro Devices(AMD)$ , the company sent a major signal: the data center chip market will reach $1 trillion by 2030, with the firm targeting a revenue compound annual growth rate (CAGR) of over 35% and earnings per share (EPS) of $20 over the next 3-5 years.AI_DigAMD’s Financial Analyst Day in New York on November 11th was more than just its first appearance in three years—it was like a declaration of war against industry leader Nvidia $NVIDIA(NVDA)$ . During the event, CEO Lisa Su shared optimistic expectations for the artificial intelligence (AI) market and announced AMD’s financial goals for the next three to five years. Sh

Key PointsAI stocks drove market gains over the past two years, but earlier this year they led declines.Investors, worried about the potential impact of import tariffs on the economy, avoided growth stocks.Since, pressure has eased, opening up the door to more possible gains for AI players.The first half of the year was a turbulent one for stocks in general amid concern President Trump's planned import tariffs would hurt the economy. And this problem weighed most heavily on stocks that depend on growth and investment -- such as those in the field of artificial intelligence (AI).These particular players led indexes higher over the past two years on optimism about spending and the technology's potential, but they lost momentum in March and April. Since, though, the U.S. has made progress on

Key PointsPalo Alto Networks is quickly becoming a leader in artificial intelligence (AI)-powered cybersecurity.The company is forecasting nearly 200% growth in its AI revenue over the next five years, which could drive significant upside in its stock.Palo Alto stock currently trades at a steep discount to its main rival, CrowdStrike, which might spell an opportunity for investors. $Palo Alto Networks(PANW)$ is the world's biggest cybersecurity vendor, but it isn't resting on its success. The company continues to expand its portfolio of products and services, leaning on innovations like artificial intelligence (AI) to deliver the most advanced protection to date.Palo Alto recently reported its financial results for its fiscal 2025 third quarter (e