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NYTIMES (Lauren Hirsch, Sri Muppidi, Erin Griffith and Mike Isaac) - Anthropic Pursues IPO Despite Its A.I. Safety Warnings

The company is expected to generate $100 billion in annualized revenue this year, even as chief executive Dario Amodei calls for slowing down development of some advanced A.I. models.

NYTIMES (Kalley Huang, Lauren Hirsch and Kate Conger) - Nvidia Buys Hugging Face in $12.9 Billion Deal

The acquisition of the start-up is an indication of Nvidia’s growing role as Silicon Valley’s central banker and its emphasis on open-source technology.

AXIOS (Emily Peck) - Big Tech's AI spending is bigger than you think

To paraphrase Justin Timberlake in his iconic turn in the 2010 film "The Social Network," a trillion dollars isn't cool. You know what is? $3 trillion. The big picture: That's roughly how much money seven Big Tech companies, including Google, Microsoft and Nvidia, have committed to spending on AI-related infrastructure in off-balance-sheet commitments, according to a new analysis from Morgan Stanley. - And that's on top of the estimated $770 billion in debt and lease obligations that are on the balance sheets. Why it matters: The analysis finds that the total amount of spending on AI is much bigger than the already-mind-blowing headlines suggest, and — more of a red flag — it's more leveraged than is perhaps appreciated. How it…

Why is the timing of these AI investments a concern for investors according to Morgan Stanley?
It is currently unclear over what time period the $3 trillion will be spent or if it will be spent, as these are commitments and contracts that could theoretically be renegotiated. Todd Castagno, head of global valuation, accounting and tax at Morgan Stanley, noted that because this is a new market, questions remain regarding how these investments will pay off and how they will be financed.
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How do off-balance-sheet commitments function in the context of AI infrastructure spending?
Off-balance-sheet commitments are financial obligations that do not appear in a company's official tally of what it owns and owes; they are not official debt but rather an obligation to pay someone in the future. These commitments allow suppliers and data center developers to borrow against long-dated leases, guarantees, or purchase commitments from investment-grade hyperscalers to build capacity before payments are made or liabilities are recognized.
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How did Google's commitments change according to the Morgan Stanley research?
Google's commitments reached a total of $707 billion in the most recent quarter, a significant increase from $72.5 billion in all of 2025.
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What are the specific components of the $3 trillion in off-balance-sheet commitments made by these seven tech companies?
The hyperscalers have committed $1.1 trillion in payments for data center leases that have not yet begun, and all seven companies have agreed to $1.7 trillion in purchase commitments for items including chips, memory, and networking gear.
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AXIOS (Emily Peck) - What we learned from Nvidia's big day

Data: Source: S&P Capital IQ Pro, company releases; Note: Nvidia's fiscal year runs ahead of the calendar. The quarter ended July 2026 is its Q2 fiscal 2027.; Chart: Emily Peck/Axios AI behemoth Nvidia reported blowout earnings Wednesday — exceeding Wall Street's expectations — and even jaded investors who had grown a bit immune to the company's stratospheric growth over the past year seemed to like it. Why it matters: The chipmaker's earnings are viewed as a barometer of the overall health of the AI trade. - Every three months when it reports its financials, Wall Street combs through the numbers for signs the whole shebang is slowing down. By the numbers: The numbers are bonkers. Nvidia's revenue was $96.2 billion in the second…

What is the nature of the supply chain challenges currently facing Nvidia?
Nvidia is facing a squeeze due to surging demand for memory chips. The company noted that price increases in the memory space are exceeding expectations, which is expected to slightly shrink its margins for the coming year, though CFO Colette Kress characterized this as a "good problem" driven by the AI buildout.
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According to Nvidia CEO Jensen Huang, what are the two drivers of AI demand besides hyperscalers?
CEO Jensen Huang stated that the other two drivers of AI demand are "sovereign AI" (countries building their own AI infrastructure) and the enterprise market (all other firms using AI).
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What specific customer deal did Colette Kress announce regarding chip purchases?
Colette Kress announced that Amazon will be purchasing an additional 2 million chips.
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How much is Nvidia committing to stock buybacks, and how does this compare to Alphabet's recent activity?
Nvidia is buying back $19 billion in stock, which is more than the company did last year. In contrast, Alphabet repurchased zero shares in its most recent quarter.
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NYTIMES (Eli Tan and Kalley Huang) - Meta Projected It Could Spend $10 Billion on Anthropic’s A.I.

The social networking giant projected it could spend $10 billion annually on Anthropic’s tools, illustrating the friend-foe relationships underlying the A.I. race.

YOUTUBE (LiveNOW from FOX) - Nvidia beats Q2 expectations, projects 70% growth in 2028

Nvidia just delivered another massive earnings report, but the bigger story may be what comes next. The company reported fiscal second-quarter earnings after the closing bell on Wednesday. The company is also projecting roughly 70% revenue growth for fiscal 2028. LiveNOW’s Andy Mac spoke with Robbie Whelan from The Wall Street Journal about Nvidia’s second quarter fiscal report and what could be next for the tech giant.

AXIOS (Nathan Bomey) - Nvidia has a blowout quarter, but Wall Street wants more

Nvidia topped revenue and earnings expectations in its latest quarter, but the stock ticked downward in extended trading Wednesday as investors maintained high expectations for the AI darling. Why it matters: The stock is widely considered a bellwether for the health of the broader AI economy, but lately it has been trailing the broader semiconductor sector in market gains. Zoom in: Nvidia posted revenue of $96.2 billion, more than doubling its year-earlier showing, while net income jumped 126% to $59.7 billion. - That exceeded S&P Capital IQ expectations of $92.1 billion in revenue and $51.2 billion in earnings for the period ended July 26. - Revenue from data centers — Nvidia's largest source of sales — rose 117%, to $89 billion. …

NYTIMES (Sri Muppidi, Lauren Hirsch and Erin Griffith) - Anthropic Could Aim to Raise $100 Billion in Blockbuster I.P.O.

The offering could value the five-year-old A.I. start-up at $2 trillion, its bankers have told potential investors, which would exceed Elon Musk’s SpaceX.

How does the potential valuation of Anthropic compare to Elon Musk’s SpaceX?
Anthropic's potential $2 trillion valuation would exceed the valuation of Elon Musk’s SpaceX.
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What is the potential amount Anthropic could aim to raise in its initial public offering (I.P.O.)?
Anthropic could aim to raise $100 billion in a blockbuster I.P.O.
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AXIOS (Herb Scribner) - The data center fight is hitting a fever pitch. Here's how they actually work

Data centers have become the face of AI backlash, with celebrities, politicians and protesters pushing to slow their growth. Why it matters: America's sharply rising public opposition to data centers — which fuel our everyday use of the internet — could pose an existential threat to AI's growth. State of play: There are at least 4,000 data centers nationwide, with some 3,000 under construction or planned. - The centers are often big, windowless warehouses with few people in sight, and many are developed in secrecy . Driving the news: Data centers have become a focus of anti-AI sentiment, with 70% of Americans opposing their construction. - Former NFL star Jason Kelce announced a partnership between his Garage beer company and…

How are Nvidia and other companies responding to the data center fight?
Nvidia is throwing billions of dollars into funding the infrastructure. Meanwhile, Big Tech companies are working to charm local communities to ensure their projects are built.
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Which U.S. states have seen data center opposition surface in political races?
The backlash has surfaced in political races in Michigan, Wisconsin, Texas, and Ohio.
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What is the estimated water consumption of data centers?
Data centers can require 5 million gallons of water a day for cooling alone. In 2023, U.S. data centers consumed approximately 17 billion gallons of water, mostly for cooling, according to a Berkeley Lab report. Additionally, Berkeley Lab states that data centers have an indirect water footprint of about 211 billion gallons to help produce the electricity they consume.
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How do newer data centers specifically support Artificial Intelligence?
Newer data centers provide the computing power behind AI by housing servers that contain specialized chips, such as graphics processing units (GPUs), which perform the necessary calculations to train and run AI models.
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AXIOS (Emily Peck) - Why "chipflation" is here to stay

Data: U.S. Bureau of Labor Statistics via FRED ; Chart: Emily Peck/Axios Memory chip prices are skyrocketing, thanks to AI demand, and there's no end in sight. Why it matters: "Chipflation" is pushing up the prices for electronic goods like smartphones and laptops, as well as the costs for cloud storage and hardware — it also helps explain the eye-popping ascents in semiconductor stock prices. - While the overall effect on inflation may not be huge — other kinds of products get more weight in the government's measure of consumer prices — the scale of this boom is unprecedented. By the numbers: The Producer Price Index for electronic components and accessories, which measures what companies pay for semiconductor chips and other…

What term did Morgan Stanley analysts use to describe the current corporate mindset regarding tech spending despite rising costs?
Analysts coined the term "FOMP," which stands for "Fear of Missing Procurement," as a nerdier corollary to FOMO. This reflects why companies remain eager to keep spending despite the rising costs associated with chipflation.
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How has the historical price trend of DRAM (Dynamic Random Access Memory) changed in the context of the AI economy?
From 1957 to 2020, the price of a gigabyte of DRAM fell by approximately a factor of 10 every five years. However, according to a Morgan Stanley note, this downward trend no longer applies in the AI economy, and memory prices have risen more than sixfold over the past year.
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What is Apple currently doing to manage skyrocketing memory chip costs according to a Wall Street Journal report?
Apple is testing memory chips from the Chinese memory chip maker CXMT. However, the company would require White House approval to bypass rules that typically prohibit such a tie-up.
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How are AI hyperscalers like Meta, Microsoft, and Alphabet affecting the supply of memory chips?
AI hyperscalers are locking up the memory supply years in advance through long-term agreements, which leaves traditional phone and PC makers to compete for a shrinking pool of supply.
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