Big tech, chips, software, cloud, AI platforms, devices, and the companies shaping the digital economy.
With its Worldwide Developers Conference opening Monday in Cupertino, Apple is set to put artificial intelligence front and center, but the company’s messaging suggests it sees AI as a feature layer, not a company-defining gamble.
THE APEX TIMES
THE APEX TIMES
On its earnings call, Jensen Huang framed the AI infrastructure expansion as accelerating at “extraordinary speed.” A separate market report suggests the next battleground may be whether enterprises can prove the returns from all that spend.
THE APEX TIMES
A geopolitical easing announcement helped lift U.S. equities, while semiconductor names led the move. Marvell’s surge was tied to its upcoming S&P 500 addition, and Intel jumped alongside the AI-infrastructure complex.
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A Wall Street Journal ranking compiled with Bendable Labs places Apple behind other megacap peers on AI preparedness and strategic disclosure, a score that arrives as Apple continues to rebuild Siri and has, according to reports, turned to Google’s Gemini model as a bridge.
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Policy talk about government financial stakes in leading AI companies and fresh reporting about chip-manufacturing contingency planning underscore how tightly linked artificial intelligence, semiconductors, and regulation have become.
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A new Gray and Roberts Counties project pairs an air-cooled data center with wind, solar, storage, and firming power, as Alphabet continues to fund AI compute buildout.
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Marvell shares have surged on investor enthusiasm for the AI infrastructure layer, helped by a high-profile Nvidia partnership that aims to plug Marvell’s custom chips into Nvidia’s rack-scale ecosystem.
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An analyst at D.A. Davidson argues that Nvidia’s AI-chip margins may stay near the mid-70% range for years, citing hyperscalers’ limited near-term alternatives despite the rise of custom silicon.
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The CRM and AI vendor said its new “Environmental Impact” section, calculated using the AI Energy Score methodology, is intended to make sustainability metrics part of how customers evaluate AI models.
