Chart Shows Hyperscaler Earnings Concerns
A single chart highlights why investors are worried about earnings from major hyperscalers like Microsoft and Amazon. The concern centers on the financial performance of these cloud and tech giants.
Why it matters: The chart reveals underlying trends that may impact their upcoming earnings reports.
Nvidia, Amazon, and Microsoft Stocks Hit a Rare 5-Year Milestone
The stocks of Nvidia, Amazon, and Microsoft have achieved a milestone not seen in at least five years. Historical patterns suggest a specific outcome may follow this event, according to The Motley Fool.
Why it matters: The article explores what history indicates could happen next for these tech giants.
Jefferies Recommends Amazon Over Tesla and Apple Ahead of Q2 Earnings
Jefferies advises buying Amazon over Tesla or Apple as the top Mag 7 stock heading into Q2 earnings. The recommendation highlights Amazon as the preferred pick among the major tech companies.
Reluctant bullish sentiment on Amazon (AMZN)
A Reddit user posts a reluctant bullish view on Amazon stock, suggesting a long position. The post reflects a generally optimistic community sentiment towards AMZN despite initial hesitation.
Why it matters: This WSB discussion highlights a growing bullish narrative for the e-commerce giant.
Amazon's delivery network may fuel its next business venture
Amazon's delivery network is being eyed as the foundation for a new business opportunity. The article from Seeking Alpha explores how the company's logistics infrastructure could drive future growth.
Why Microsoft, Meta, and Amazon earnings could crush the S&P 500 - Yahoo Finance
Why Microsoft, Meta, and Amazon earnings could crush the S&P 500 Yahoo Finance
Why it matters: RSS-imported item, awaiting editor or agent follow-up on market impact.
GOOGL, MSFT, AMZN Stocks Rise Premarket: Analyst Says China’s Kimi K3 AI Fears ‘Misplaced’ - Yahoo Finance
GOOGL, MSFT, AMZN Stocks Rise Premarket: Analyst Says China’s Kimi K3 AI Fears ‘Misplaced’ Yahoo Finance
Why it matters: RSS-imported item, awaiting editor or agent follow-up on market impact.
Amazon Stock Just Hit a Major Hurdle Ahead of Earnings - Barchart.com
Amazon Stock Just Hit a Major Hurdle Ahead of Earnings Barchart.com
Why it matters: RSS-imported item, awaiting editor or agent follow-up on market impact.
Wall Street's Average Amazon Price Target Sits 34% Above the Stock -- 4 Days Before Its Earnings. - The Motley Fool
Wall Street's Average Amazon Price Target Sits 34% Above the Stock -- 4 Days Before Its Earnings. The Motley Fool
Why it matters: RSS-imported item, awaiting editor or agent follow-up on market impact.
Amazon Q2 Earnings Preview: Powering The AI Race With A Massive Advantage (NASDAQ:AMZN) - Seeking Alpha
Amazon Q2 Earnings Preview: Powering The AI Race With A Massive Advantage (NASDAQ:AMZN) Seeking Alpha
Why it matters: RSS-imported item, awaiting editor or agent follow-up on market impact.
Thank you, regards!
I need to thank everyone on this sub for showing all of their loss and gain porn here. I feel like I could really get fucked if I ever grew the balls to throw money away like some of you psychopaths, or maybe earn enough to make all my dreams come true, but seeing this stuff makes me really understand that and keep my portfolio in "safe spaces". I know that I just don't fucking get it and that's ok as long as I don't pretend to. Lol My first dip into stocks was in March 2020. Sure, I never made millions, but I put all my money into AAPL, GOOGL, and AMZN when they dropped before they all split and blew up. I earned enough to put a lot of money on an amazing home in a fantastic area. I didn't really gamble(I know it always is, but that was pretty much as surefire as you could get), so I didn't make the big bucks like I could have, but I also didn't lose everything and came away very much on top. I fucking love living vicariously through you guys. Wins, losses, or just ridiculous fucking
Why it matters: RSS-imported item, awaiting editor or agent follow-up on market impact.
Introduction to Hyperscalers: Scaling a Doghouse to Build a Cathedral
In his 1997 OOPSLA talk, The Computer Revolution Hasn’t Happened Yet , Alan Kay warned that scaling a doghouse does not create a cathedral. That is the risk in hyperscaler AI strategy today: more GPUs, more data centers, more tokens, and more power, without a clear architecture for value. Scale can increase capacity, but it cannot replace design. A cathedral is not a very large doghouse. It is a different system. As one example, Yann LeCun argues that simply scaling large language models is unlikely to produce AGI because LLMs lack robust understanding of the physical world. The question in 2028 is going to be: did MSFT/GOOG/ORCL/AMZN try to scale a doghouse?   submitted by   /u/valderium [link]   [comments]
Why it matters: RSS-imported item, awaiting editor or agent follow-up on market impact.
AMZN just x10000000 their earnings, invest now
  submitted by   /u/taketheb8m8 [link]   [comments]
Why it matters: RSS-imported item, awaiting editor or agent follow-up on market impact.