All articles tagged with #tech industry
Originally Published 6 days ago — by CNN
Nvidia unveiled its new AI data center platform, Vera Rubin, which aims to address the increasing demands of AI models and is set to launch in late 2026. The company is positioning itself as a leader in AI infrastructure amidst growing industry competition and significant investments in AI technology, with major cloud providers and AI labs expected to adopt the new system.
Originally Published 6 days ago — by Reuters
Shares of leading memory chipmakers surged due to a global supply shortage driven by high demand for AI infrastructure, with prices more than doubling in some segments and analysts predicting the supercycle could last into 2027.
Originally Published 6 days ago — by Financial Times
AI startups are challenging Google in the web browser market, aiming to reshape how users interact with the internet through innovative technologies.
Originally Published 8 days ago — by AP News
Communities across the U.S. are increasingly opposing the construction of large data centers due to environmental, economic, and quality of life concerns, leading to numerous proposals being blocked or delayed despite significant industry investments and support from higher levels of government.
Originally Published 12 days ago — by MacRumors
A report suggests that Apple's AI strategy may start to show significant results by 2026, indicating a potential breakthrough in their artificial intelligence initiatives.
Originally Published 12 days ago — by The Information
The article predicts that Apple will reverse its AI slump by 2026, highlighting insights from tech and business leaders who follow The Information.
Originally Published 12 days ago — by CNBC
Meta Platforms has acquired Manus, a Singapore-based AI startup known for its general-purpose AI agents, in a deal reportedly over $2 billion, as part of its broader strategy to expand its AI capabilities and talent pool, including investments in various AI startups and integration of advanced automation into its products.
Originally Published 14 days ago — by Business Insider
Four tech professionals share a simple but effective advice for breaking into AI: get hands-on experience by working on real-world projects, whether at work, through side projects, or freelance roles, to demonstrate practical skills and build a strong portfolio.
Originally Published 17 days ago — by Yahoo
Stanford computer science graduates are facing increased difficulty finding jobs as AI tools automate tasks traditionally done by junior programmers, leading to a significant shift in hiring practices and raising concerns about workforce stability and the need for educational and policy adaptations.
Originally Published 18 days ago — by Financial Times
Tech companies are shifting $120 billion of AI data centre debt off their balance sheets, indicating a strategic move in financial management within the tech industry.
Originally Published 21 days ago — by CNBC
In 2025, AI was responsible for approximately 55,000 layoffs in the U.S., with major firms like Amazon, Microsoft, and others citing AI-driven restructuring and cost-cutting measures amid a record-high total of 1.17 million job cuts this year.
Originally Published 22 days ago — by Politico
President Trump's AI czar, David Sacks, has issued an executive order to block state AI regulations, causing controversy within the tech industry and Congress, as it undermines efforts for a unified federal AI policy and sparks political and legal conflicts.
Originally Published 23 days ago — by The Guardian
Global investment in data centers reached a record $61 billion in 2025, driven by the AI boom and ongoing demand for infrastructure, with projections indicating rapid expansion over the next five years despite concerns over potential overspending and energy consumption.
Originally Published 23 days ago — by CNN
Tech companies are investing heavily in AI infrastructure, particularly data centers and chips, but concerns are rising about the longevity of these investments due to rapid chip degradation, uncertain AI returns, and potential bubble risks, raising questions about the sustainability and economic impact of the AI buildout.
Originally Published 26 days ago — by Undark Magazine
The article discusses the misconceptions and complexities surrounding water use by AI data centers, emphasizing that while their water consumption is often exaggerated or misunderstood, they can still impact local water resources, especially in drought-prone areas. It highlights the importance of accurate data, regional context, and the societal value placed on AI technology in evaluating environmental impacts.