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

Speed Always Wins: A Survey on Efficient Architectures for Large Language Models – Takara TLDR

Benchmarking document information localization with Amazon Nova

DeepSeek Releases V3.1 Model with 685 Billion Parameters on Hugging Face

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
  • Business AI
    • Advanced AI News Features
    • Finance AI
    • Healthcare AI
    • Education AI
    • Energy AI
    • Legal AI
LinkedIn Instagram YouTube Threads X (Twitter)
Advanced AI News
Finance AI

Apple CEO Tim Cook has created more shareholder value than Steve Jobs. But suddenly his weaknesses are on display in the AI era

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


It seems impossible that Tim Cook’s legacy as Apple’s spectacularly successful CEO could be in jeopardy. But in recent months, and especially in recent days, the impossible has become at least conceivable.

The latest tremors came when Apple announced chief operating officer Jeff Williams would retire by yearend after 27 years. Just a day before, the company’s top AI executive, Ruoming Pang, had left to join Meta, and weeks earlier, another high-level AI researcher, Tom Gunter, had also left. The image of a leadership exodus was forming.

More broadly, Apple stock is down 7.2% over the past year, while the S&P is up 6.5% and the Nasdaq is up 12.9%.

Those events brought some of Apple’s most worrisome weaknesses into the forefront. Above all: an apparent serious lag behind competitors incorporating AI into products and services. Last year, with Hollywood fanfare, the company introduced Apple Intelligence, a version of AI that only Apple, creator of the world’s most user-friendly products and services, could possibly create. But it isn’t working out that way. Playing down Apple Intelligence so far, the company has a partnership with OpenAI for some chores performed by Apple’s virtual assistant, Siri, and it has reportedly considered a partnership with Anthropic and partnering with or buying Perplexity AI.

For a company of Apple’s scale and stature, lagging behind its major competitors on AI is like lagging behind the competition on the internet in 2000. AI is a general-purpose technology, and those things don’t come along very often. The internet was one. So were digital computing and electricity. They change the world, and they revolutionize the business landscape for every company.

With that in mind, it becomes clear how Tim Cook could be one of the all-time greatest CEOs from 2011 to now yet might not be optimal for the AI era.

As background, remember just how staggeringly successful Apple has been under Cook. When Steve Jobs made him CEO, the company was worth about $300 billion. Now it’s worth $3.2 trillion—a remarkable compound annual growth rate of 18.4% over 14 years. Few people realize that Cook has created far more shareholder wealth than Jobs did.

But now look closer. Craig Moffett, a founder of the MoffettNathanson research firm, is one of the extremely few Wall Street analysts who have a Sell recommendation on Apple stock. He is also a Cook admirer. “By any normal metrics he has had a wildly, wildly successful tenure,” Moffett says. But then he examines how that success has been achieved. “They haven’t produced a major new product outside of possibly the earbuds in a decade,” he says. “Apple has done far more to innovate process than it has product over Tim Cook’s tenure.”

Story Continues

No one can deny Cook’s record, Moffett says, “but to be fair, it has been by exquisitely executing strategies and manufacturing products that were set in motion years before.”

The issue of product innovation becomes especially important now because it isn’t yet clear which products will be right for the AI revolution. Jony Ive, Apple’s longtime design genius, left the company in 2019 and is now working with OpenAI; rampant speculation has him creating a new device for AI, maybe a pendant or a pen. If any such projects are underway at Apple, they are deeply hidden.

Among known products, Apple’s Vision Pro goggles are a high-end niche item, and its HomePod and HomePod mini smart speakers have been modest successes. But if smartphones aren’t at the center of life in the AI world, Apple could be hurting. “There is this nagging question among investors,” Moffett says, “which is increasingly causing disquiet that Apple is unprepared for something that transformational.”

Cook could still surprise us. After all, Apple is famously secretive. Maybe it will suddenly reveal a stunning new device or service. Maybe it will buy a major AI company or partner with one, changing the whole competitive landscape. If that happens and succeeds, Cook could cement a position as one of the all-time great CEOs. But if none of those events happen sometime soon—they seem unlikely—then the Apple board of directors must remember that no CEO is right for all seasons, and the advent of AI heralds a new season fundamentally different from the past 14 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 (IBM) Forms ‘Hammer Chart Pattern’: Time for Bottom Fishing?
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

Senator Seeks Investigation into Jeffrey Epstein’s Work for Leon Black

Spike Lee’s ‘Highest 2 Lowest’ Features Art From His Own Collection

MacDowell’s Chiwoniso Kaitano Wants to Center Artist Residencies

Naomi Beckwith Reveals Documenta 16’s All-Female Artistic Team

Latest Posts

Speed Always Wins: A Survey on Efficient Architectures for Large Language Models – Takara TLDR

August 19, 2025

Benchmarking document information localization with Amazon Nova

August 19, 2025

DeepSeek Releases V3.1 Model with 685 Billion Parameters on Hugging Face

August 19, 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

  • Speed Always Wins: A Survey on Efficient Architectures for Large Language Models – Takara TLDR
  • Benchmarking document information localization with Amazon Nova
  • DeepSeek Releases V3.1 Model with 685 Billion Parameters on Hugging Face
  • OpenAI Is Poised to Become the Most Valuable Startup Ever. Should It Be?
  • VB AI Impact Series: Can you really govern multi-agent AI?

Recent Comments

  1. Davidcrace on 1-800-CHAT-GPT—12 Days of OpenAI: Day 10
  2. Jamesdycle on 1-800-CHAT-GPT—12 Days of OpenAI: Day 10
  3. Miltonevafe on 1-800-CHAT-GPT—12 Days of OpenAI: Day 10
  4. DennisAscek on Foundation AI: Cisco launches AI model for integration in security applications
  5. LloydWocop 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.