AI Bubble or Just the Beginning? Nvidia’s Earnings Spark New Market Divide
Nvidia’s strong earnings reignite AI bubble fears, but analysts say the boom has years of runway as real demand, revenue growth, and new AI use cases accelerate.
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Nvidia’s strong earnings reignite AI bubble fears, but analysts say the boom has years of runway as real demand, revenue growth, and new AI use cases accelerate.
HP Inc announced plans to reduce 4,000–6,000 jobs globally by fiscal 2028, citing AI adoption, operational efficiency, and rising memory chip prices. The cuts will primarily affect product development, internal operations, and customer support...
Nvidia asserts it is “a generation ahead” in AI chips after reports that Google may supply Meta with its processors, spurring market competition.
MIT and Oak Ridge researchers found AI could replace 11.7% of U.S. labor, exposing $1.2 trillion in wages across finance, healthcare, and professional services.
Nvidia CEO Jensen Huang told staff to use AI for all possible tasks and reassured them that automation would not threaten their jobs.
AI and automation may eliminate 3 million low-skilled UK jobs by 2035, though professional roles are expected to rise, highlighting uneven workforce impacts.
xAI is nearing a $15 billion funding round that would value the company at $230 billion, underscoring continued investor demand for advanced AI model developers.
Russia is developing home-grown AI models to compete with U.S. and China, with Sberbank leading efforts. Officials compare AI influence to nuclear technology, emphasizing national sovereignty.
Asian semiconductor shares sank after Nvidia’s overnight decline, with major suppliers including SoftBank, SK Hynix, Samsung, and TSMC posting sharp losses. T
OpenAI CEO Sam Altman told employees that Google’s new Gemini 3 model is tightening the AI race and may create temporary economic headwinds for the company. Despite the pressure, Altman said OpenAI remains focused...
OpenAI has partnered with Foxconn to co-design and prepare U.S. manufacturing for next-generation AI data center hardware, strengthening domestic supply chains and accelerating deployment of advanced compute systems.
Google executives told employees the company must double its compute capacity every six months to keep pace with surging demand for AI services, underscoring the rising cost and competition in cloud infrastructure.