The 4 Phases of the AI RevolutionPhase 1: Infrastructure- Chips: $NVIDIA(NVDA)$ $Broadcom(AVGO)$ $Taiwan Semiconductor Manufacturing(TSM)$ $Arista Networks(ANET)$ $Marvell Technology(MRVL)$ - Data Centers: $Oracle(ORCL)$ $Amazon.com(AMZN)$ $Alphabet(GOOG)$ $Alphabet(GOOGL)$ $Vertiv Holdings LLC(VRT)$ $SUPER MICRO COMPUTER INC(SMCI

$IBM(IBM)$ ’s stock performance surged after its Q3 2024 earnings report, behaving more like a prominent AI software player than a tech giant with substantial legacy businesses, mainly in consulting. However, IBM’s traditional operations are unlikely to benefit significantly from the AI boom. Given another lackluster quarter, IBM might not be worth the bullish outlook.Stagnant Growth Amid AI PushDespite repeated promises of pivoting to growth sectors, IBM hasn’t achieved substantial sales momentum. The latest quarterly report revealed a revenue increase of only 1.5% year-over-year, falling short of expectations. IBM's AI software business shows promise, but with an existing $60 billion revenue base, adding a few billion won’t ignite substantial gro

$IONQ Inc.(IONQ)$ is making waves in the stock market, recently reaching a 52-week high of $15.71. This impressive milestone reflects growing investor confidence, with the company seeing a notable 36.33% increase over the past year, largely thanks to its advancements in quantum computing technology.Leadership in Quantum ComputingAs a leader in the quantum computing space, IONQ specializes in hardware development and aims to commercialize quantum technology. Since going public via SPAC in 2021, the company has doubled its revenues each year, solidifying its position as a frontrunner in the field.IONQ generates revenue by building quantum computers that tackle problems beyond the reach of classical systems. The company is focused on developing quant

$Taiwan Semiconductor Manufacturing(TSM)$ has just crossed the $1 trillion market cap mark, marking a significant milestone after reporting impressive growth in Q3. It’s now the ninth company in the world to reach this figure, excluding state-owned enterprises. As the absolute leader in the semiconductor foundry market, TSMC is benefiting immensely from the ongoing surge in AI computing chip spending, with no signs of slowdown in sight.Growth in HPCTSMC stands out as the only company capable of producing ultra-fast computer chips with the smallest transistor sizes. Their 3nm and 5nm chips contributed about half of the company's Q3 revenue, indicating high demand and premium pricing. Due to this demand, TSMC anticipates a 30% revenue growth in 2024.

Is AI helping $IBM(IBM)$ get back on its feet? Absolutely! The company is poised for solid organic revenue growth in its software and consulting divisions. Analysts believe IBM will continue to infuse AI capabilities across its business lines, especially in consulting. While the current high-interest rate environment has posed challenges, there's optimism that IT consulting will rebound once the U.S. economy stabilizes.Granite Foundation ModelsIn September 2023, IBM launched its Granite Foundation Models, designed to enhance AI technology for clients. These models are optimized for enterprise software development and can handle between 3 billion and 34 billion parameters across 116 programming languages. For businesses, these ready-made AI models

Content contributed by @EricFlaningam at X, Author of Generative ValueAmong the many bottlenecks for AI data centers, energy might be the most important and the most difficult to address. IF estimates of data center energy consumption turn out to be true (or even in the vicinity of truth), our current energy infrastructure will not be able to support those demands. Unfortunately, there’s no easy way to increase energy capacity quickly. I think it will take many solutions to solve this problem, just a few of them are: - Off-Grid Power Generation - Nuclear - Long-Duration Energy Storage (Batteries) - Building Where the Power’s At - Grid Optimization Tech I shared some thoughts on this areaNuclear Recently, we’ve seen big tech seemingly go all in on supporting nuclear. Just a few examples of

$NVIDIA Corp(NVDA)$ 's stock has surged nearly 180% this year, with a forward price-to-earnings (P/E) ratio of over 40 times. This has sparked intense debate on Wall Street about whether it's "too expensive." Among the top seven U.S. tech giants, NVIDIA has outperformed, leaving $Meta Platforms, Inc.(META)$ behind by more than 116%.Recently, analysts like Vivek Arya and Duksan Jang from Bank of America described buying NVIDIA as a "once-in-a-generation opportunity." They believe the stock’s valuation remains attractive, with a price/earnings to growth (PEG) ratio of just 0.6x, far below the 1.9x average of the other "Mag 7" companies.Goldman Sachs also chimed in, stating that NVIDIA’s pricing is reasonabl

$NVIDIA Corp(NVDA)$ stock is on the rise again, closing in on its all-time high. The company has eased market concerns about product delays and long-term growth, boosting investor sentiment. This month alone, Nvidia shares are up 13%, potentially setting up for a record closing price for the first time since June. It's currently the second-best performer in the $.SPX(.SPX)$ for 2024.The recent rebound is driven by CEO Jensen Huang's positive updates. After previous delays, Nvidia's new Blackwell chips are now in full production. Huang boldly stated that demand is at a "crazy" level, and Morgan Stanley analysts reported that Blackwell's orders are filled for the next 12 months.AI Demand Fuels Nvidia's Surg