Close Menu
  • Home
  • AI Models
    • DeepSeek
    • xAI
    • OpenAI
    • Meta AI Llama
    • Google DeepMind
    • Amazon AWS AI
    • Microsoft AI
    • Anthropic (Claude)
    • NVIDIA AI
    • IBM WatsonX Granite 3.1
    • Adobe Sensi
    • Hugging Face
    • Alibaba Cloud (Qwen)
    • Baidu (ERNIE)
    • C3 AI
    • DataRobot
    • Mistral AI
    • Moonshot AI (Kimi)
    • Google Gemma
    • xAI
    • Stability AI
    • H20.ai
  • AI Research
    • Allen Institue for AI
    • arXiv AI
    • Berkeley AI Research
    • CMU AI
    • Google Research
    • Microsoft Research
    • Meta AI Research
    • OpenAI Research
    • Stanford HAI
    • MIT CSAIL
    • Harvard AI
  • AI Funding & Startups
    • AI Funding Database
    • CBInsights AI
    • Crunchbase AI
    • Data Robot Blog
    • TechCrunch AI
    • VentureBeat AI
    • The Information AI
    • Sifted AI
    • WIRED AI
    • Fortune AI
    • PitchBook
    • TechRepublic
    • SiliconANGLE – Big Data
    • MIT News
    • Data Robot Blog
  • Expert Insights & Videos
    • Google DeepMind
    • Lex Fridman
    • Matt Wolfe AI
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • Matt Wolfe AI
    • The TechLead
    • Andrew Ng
    • OpenAI
  • Expert Blogs
    • François Chollet
    • Gary Marcus
    • IBM
    • Jack Clark
    • Jeremy Howard
    • Melanie Mitchell
    • Andrew Ng
    • Andrej Karpathy
    • Sebastian Ruder
    • Rachel Thomas
    • IBM
  • AI Policy & Ethics
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
    • EFF AI
    • European Commission AI
    • Partnership on AI
    • Stanford HAI Policy
    • Mozilla Foundation AI
    • Future of Life Institute
    • Center for AI Safety
    • World Economic Forum AI
  • AI Tools & Product Releases
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
    • Image Generation
    • Video Generation
    • Writing Tools
    • AI for Recruitment
    • Voice/Audio Generation
  • Industry Applications
    • Finance AI
    • Healthcare AI
    • Legal AI
    • Manufacturing AI
    • Media & Entertainment
    • Transportation AI
    • Education AI
    • Retail AI
    • Agriculture AI
    • Energy AI
  • AI Art & Entertainment
    • AI Art News Blog
    • Artvy Blog » AI Art Blog
    • Weird Wonderful AI Art Blog
    • The Chainsaw » AI Art
    • Artvy Blog » AI Art Blog
What's Hot

Cohere raises $3.1 million for its remote control solution for web apps

China’s rebound has a distinct ‘cool factor’ – Academia

Mistral AI debuts Mixtral 8x22B, one of the most powerful open-source AI models yet

Facebook X (Twitter) Instagram
Advanced AI News
  • Home
  • AI Models
    • OpenAI (GPT-4 / GPT-4o)
    • Anthropic (Claude 3)
    • Google DeepMind (Gemini)
    • Meta (LLaMA)
    • Cohere (Command R)
    • Amazon (Titan)
    • IBM (Watsonx)
    • Inflection AI (Pi)
  • AI Research
    • Allen Institue for AI
    • arXiv AI
    • Berkeley AI Research
    • CMU AI
    • Google Research
    • Meta AI Research
    • Microsoft Research
    • OpenAI Research
    • Stanford HAI
    • MIT CSAIL
    • Harvard AI
  • AI Funding
    • AI Funding Database
    • CBInsights AI
    • Crunchbase AI
    • Data Robot Blog
    • TechCrunch AI
    • VentureBeat AI
    • The Information AI
    • Sifted AI
    • WIRED AI
    • Fortune AI
    • PitchBook
    • TechRepublic
    • SiliconANGLE – Big Data
    • MIT News
    • Data Robot Blog
  • AI Experts
    • Google DeepMind
    • Lex Fridman
    • Meta AI Llama
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • The TechLead
    • Matt Wolfe AI
    • Andrew Ng
    • OpenAI
    • Expert Blogs
      • François Chollet
      • Gary Marcus
      • IBM
      • Jack Clark
      • Jeremy Howard
      • Melanie Mitchell
      • Andrew Ng
      • Andrej Karpathy
      • Sebastian Ruder
      • Rachel Thomas
      • IBM
  • AI Tools
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
  • AI Policy
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
  • Industry AI
    • Finance AI
    • Healthcare AI
    • Education AI
    • Energy AI
    • Legal AI
LinkedIn Instagram YouTube Threads X (Twitter)
Advanced AI News
Finance AI

The S&P 500 is ‘extremely concentrated,’ Apollo economist says, warning the best AI investment may not be in the Magnificent 7

By Advanced AI EditorJuly 1, 2007No Comments4 Mins Read
Share Facebook Twitter Pinterest Copy Link Telegram LinkedIn Tumblr Email
Share
Facebook Twitter LinkedIn Pinterest Email


The S&P 500 has become a lopsided index, with the Magnificent Seven significantly increasing risk exposure for investors, according to Apollo chief economist Torsten Sløk. As the paths of the Magnificent Seven begin to diverge and the AI bubble swells, Sløk argues it’s time to begin questioning which AI companies to invest in.

It’s time to question the soundness of continued zealous investment in the Magnificent Seven, one top economist warns.

The S&P 500 has become “extremely concentrated,” with the top 10 stocks contributing 54% of market returns since January 2021, Apollo chief economist Torsten Sløk said in a Friday blog post. With the cluster of tech stocks at the top beginning to unravel, he is pouring cold water on continued aggressive investment in the index and in the Magnificent Seven.

“The textbook idea that the S&P 500 gives you a diversified exposure to risk is just simply no longer the case,” Sløk told Fortune. “You are very focused and concentrated in a small group of names, in particular in tech, making up such a significant share of your overall risk exposure.”

The top 10 companies in the S&P 500 now prop up 40% of the index’s market capitalization—more than 30% of which is from the Mag Seven—meaning the fortune of the markets has become increasingly reliant on investor optimism about AI. Alphabet’s AI rally not only helped mint CEO Sundar Pichai as a billionaire, for example, but the Google parent’s earnings beat gave the S&P 500 its fourth consecutive record close on Thursday.

But as the AI bubble swells larger than the IT bubble a quarter-century ago, as Sløk has previously noted, the extreme hype around the technology risks creating even broader economic consequences than the dotcom crisis. To protect one’s individual investments, now is the time to reconsider pouring money into the Mag Seven, Sløk argued.

“One should have some exposure to the S&P 500 and should certainly also have some exposure to AI,” Sløk said. “But it’s very clear that [owing to] the market’s extreme focus and concentration on this story, this is the time to have a conversation around, What are the things I should be doing with my money?”

Mounting concerns over the ramifications of a growing AI bubble coincide with the unraveling of the Magnificent Seven stocks.

“We’re beginning to have conversations about the ‘Magnificent Six,’ maybe it’s only five,” Sløk said. “This is also just telling you that the Magnificent Seven are seven very, very different companies that have very different businesses.”

繼續閱讀

Popularized in 2023 by Bank of America analyst Michael Hartnett, the “Magnificent Seven” term acknowledged a group of companies alike in their goal of pushing toward an AI future, but these seven firms, once in lockstep, are beginning to diverge in their levels of success and areas of investment.

Apple, for example, has lagged behind competitors like Microsoft and Meta in developing AI products and services. With its stock down about 12% year to date, some market watchers have called for CEO Tim Cook to step down, despite Cook’s boosting the stock price by nearly 1,500% over the past decade-plus.

Tesla has meanwhile failed to deliver on promises of autonomous driving, continuing this week its streak of sales misses and disappointing quarters. Tesla’s stock has fallen nearly 15% in 2025 as investor confidence in CEO Elon Musk continues to be tested.

Nvidia this month became the first publicly traded company with a more than $4 trillion valuation as its stock price surged by approximately 1,460% over the past five years. The company is expected to see strong sales growth, despite increasing competitive pressures.

Ahead of next week’s earnings reports for Meta, Apple, and Microsoft, analysts are continuing to scrutinize the pricing of these companies’ stocks, assessing if there are other options in the tech sector worth buying into.

“AI will continue to have a dramatic impact on all our lives,” Sløk wrote in his blog post. “But the question remains whether the Magnificent Seven are correctly priced, and if they will even be the best AI investments over the next five to 10 years.”

This story was originally featured on Fortune.com



Source link

Follow on Google News Follow on Flipboard
Share. Facebook Twitter Pinterest LinkedIn Tumblr Email Copy Link
Previous ArticleIBM, ServiceNow, T-Mobile: Earnings movers
Next Article Asian shares fall after a quiet day on Wall St, but Nvidia hit by US ban on exporting AI chip
Advanced AI Editor
  • Website

Related Posts

Chinese AI firms form alliances to build domestic ecosystem amid US curbs

July 28, 2025

I sat in on an AI training session at KPMG. It was almost like being back at journalism school.

July 26, 2025

How AI is transforming the lives of neurodivergent people

July 26, 2025

Comments are closed.

Latest Posts

Theatre Director and Artist Dies at 83

France to Accelerate Return of Looted Artworks—and More Art News

Person Dies After Jumping from Whitney Museum

At Aspen Art Week, Bigger Fairs Make for a High-Altitude Market Bet

Latest Posts

Cohere raises $3.1 million for its remote control solution for web apps

August 1, 2025

China’s rebound has a distinct ‘cool factor’ – Academia

August 1, 2025

Mistral AI debuts Mixtral 8x22B, one of the most powerful open-source AI models yet

August 1, 2025

Subscribe to News

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

Recent Posts

  • Cohere raises $3.1 million for its remote control solution for web apps
  • China’s rebound has a distinct ‘cool factor’ – Academia
  • Mistral AI debuts Mixtral 8x22B, one of the most powerful open-source AI models yet
  • After TikTok, Chinese businesses like Kling ramp up AI for video
  • Deep Cogito v2 open source models have self-improving intuition

Recent Comments

  1. Anonymous on Nvidia CEO Jensen Huang calls US ban on H20 AI chip ‘deeply painful’
  2. Michaeltap on 1-800-CHAT-GPT—12 Days of OpenAI: Day 10
  3. mowihfed on 1-800-CHAT-GPT—12 Days of OpenAI: Day 10
  4. Yohotskego on 1-800-CHAT-GPT—12 Days of OpenAI: Day 10
  5. KavowAXORO on 1-800-CHAT-GPT—12 Days of OpenAI: Day 10

Welcome to Advanced AI News—your ultimate destination for the latest advancements, insights, and breakthroughs in artificial intelligence.

At Advanced AI News, we are passionate about keeping you informed on the cutting edge of AI technology, from groundbreaking research to emerging startups, expert insights, and real-world applications. Our mission is to deliver high-quality, up-to-date, and insightful content that empowers AI enthusiasts, professionals, and businesses to stay ahead in this fast-evolving field.

Subscribe to Updates

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

LinkedIn Instagram YouTube Threads X (Twitter)
  • Home
  • About Us
  • Advertise With Us
  • Contact Us
  • DMCA
  • Privacy Policy
  • Terms & Conditions
© 2025 advancedainews. Designed by advancedainews.

Type above and press Enter to search. Press Esc to cancel.