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Microsoft, AI and DeepSeek
Microsoft CEO Satya Nadella thinks the DeepSeek drama is ‘all good news’
Microsoft CEO Satya Nadella believes that DeepSeek will inevitably help the American AI industry rather than hurt it. Microsoft chief executive Satya Nadella isn’t pressed about Chinese AI startup DeepSeek’s recent success.
Microsoft CEO tries to assure investors DeepSeek is good for business as scrutiny of AI spending mounts
Chinese AI startup DeepSeek's model led to increased scrutiny on Microsoft's AI spending.
Microsoft CEO says AI use will ‘skyrocket’ with more efficiency amid craze over DeepSeek
In an apparent response to the attention on a new AI model out of China, Microsoft CEO Satya Nadella posted online
Satya Nadella believes Chinese AI startup DeepSeek could be a win for tech, even as Microsoft’s shares tumble
The Microsoft CEO cited Jevons paradox, which stipulates increased efficiency in production drives increased demand.
Silicon Valley leaders from Sam Altman to Satya Nadella react to their new rival DeepSeek
Meta, Nvidia, and other tech giants react to DeepSeek's competitive, cost-efficient models that challenge established market players.
‘I’m good for my $80 billion’: What Microsoft CEO Satya Nadella really meant by his Stargate zinger
Microsoft CEO Satya Nadella had the quote of the week in response to a question from CNBC's Andrew Ross Sorkin about Elon Musk questioning the ability of the new Stargate Project's financial backers to invest up to $500 billion in AI infrastructure.
Microsoft CEO Satya Nadella Believes AI Consumption Will Hit All Time High Due To Jevons Paradox; Here’s Why
Amid the growing paranoia over Chinese AI DeepSeek gatecrashing the AI dominance of American startups, Microsoft’s boss Satya Nadella chimed in with his two cents (from the $80 billion he already has). Nadella stated that Jevons Paradox has struck again. He commented on X/Twitter
Microsoft CEO Satya Nadella touts DeepSeek's open-source AI as "super impressive": "We should take the developments out of China very, very seriously"
Microsoft CEO Satya Nadella recently commented on DeepSeek's ultra-cost-effective AI and compared it to the Jevons paradox economic concept. The executive claims AI will skyrocket, and developments out of China shouldn't be ignored.
Microsoft CEO Satya Nadella calls himself ‘product’ of bond between India-US
Microsoft CEO Satya Nadella emphasized the bond between India and the US during a Republic Day reception in Seattle, attended by over 500 people.
18h
How Satya Nadella is weathering the storm of Trump’s first days
The Microsoft CEO will have to perform a delicate balancing act over the next four years to keep his company from becoming a ...
3h
on MSN
Microsoft has kind words for DeepSeek AI, offers it to customers
Microsoft plans to spend $108 billion on data centres this fiscal year to meet customers' AI demands. Read more at ...
2d
What is Jevons Paradox? Satya Nadella explains, ‘As AI becomes a commodity, its energy demands will skyrocket!’
Microsoft CEO Satya Nadella discusses Jevons Paradox, noting that improved efficiency in AI may boost its demand and make it ...
2d
Chinese AI DeepSeek Deep-Sixes OpenAI on the App Store, Stocks Tank
Chinese AI chatbot DeepSeek has displaced OpenAI’s ChatGPT as the most downloaded app on the Apple App store and the market ...
2h
Trump’s first 100 days: all the news impacting the tech industry
On Tuesday night, President Donald Trump issued a pardon to Ross Ulbricht, who ran the dark web marketplace Silk Road under ...
5h
Microsoft, Meta stare down DeepSeek threat, making big reveals
DeepSeek will not derail Microsoft and Meta spending a combined $US145bn ($232.3bn) on artificial intelligence this year, ...
7h
Microsoft says AI revenue has surpassed $13 billion annual run rate
Microsoft CEO Satya Nadella told analysts on the company's earnings call that its revenue from AI has surpassed an annual run rate of $13 billion. He said Microsoft has more than 200,000 monthly users ...
18h
The Next Breakthrough In Communications: The Knowledge Stack
It is our job to think through what is involved in building a “knowledge stack” to direct and drive agents to make us ...
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