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Future AI jobs will come with a hardhat and boots: tech CEOs
Nvidia's Jensen Huang said AI infrastructure requires massive investment in energy, chips, and labor, creating trade-skilled jobs and shifting R&D budgets across industries.
- On Wednesday at the World Economic Forum in Davos, Nvidia CEO Jensen Huang said AI will create more jobs and called it `the largest infrastructure build-out in human history`.
- Companies are shifting R&D budgets into AI, prompting new AI companies and large capital commitments, while Nvidia GPUs see rising rental prices even for two-generation-old chips, signaling supply shortages.
- Deal data show investor appetite: companies building robotics raised $26.5 billion in 2025, while Satya Nadella said, `The real question in front of all of us is how do you ensure that the diffusion of AI happens, and happens fast.`
- Huang pointed to tradecrafts like plumbers, electricians and construction workers as major sources of new jobs, while Jensen said AI could free nurses from charting, enabling hospitals to hire more nurses.
- Nvidia's $4 trillion valuation underscores concentrated winners, while Microsoft owns a 27 percent stake in OpenAI; Nadella said, `'The real question in front of all of us is how do you ensure that the diffusion of AI happens, and happens fast.
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16 Articles
16 Articles
At Davos 2026, NVIDIA CEO Jensen Huang, Microsoft CEO Satya Nadella, and Blackrock CEO Larry Fink wave away AI bubble concerns.
·United States
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The development of physical AI and robotics offer European countries "a unique opportunity" for...
·Spain
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Jokes, justification, defensive: Europe is under massive pressure in Davos. But then Nvidia CEO Jensen Huang creates a glimmer of hope: he sees a "one-time opportunity" for the continent and advises that Silicon Valley is no longer saddened.
·Dortmund, Germany
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Optimism about Europe: "Fusing manufacturing capabilities with AI and robotics is a once-in-a-generation opportunity for European countries"
·Italy
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Total News Sources16
Leaning Left2Leaning Right1Center5Last UpdatedBias Distribution63% Center
Bias Distribution
- 63% of the sources are Center
63% Center
L 25%
C 63%
12%
Factuality
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