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A memo circulated earlier this year claimed that technology executive Alice Huang was recruited by China’s Ministry of State Security to spy on Nvidia CEO Jensen Huang, according to multiple media reports. The New York Times, which had previously said Nvidia’s chief executive had been the target of Chinese intelligence, wasthe first to report on the memo.The Financial Times subsequently reportedthat the memo — supposedly based on U.S. intelligence — also claimed Jensen Huang had a romantic relationship with Alice Huang, an executive at a Singapore-based company called Megaspeed. An Nvidia spokesperson told the NYT that Jensen Huang’s interactions with Alice Huang were “not unusual,” and that the company does not share classified information with its customers. Aseparate NYT reportexamined New Matrix, a Chinese company authorized by the U.S. Commerce Department to buy advanced Nvidia chips. At the office address listed by New Matrix, reporters only found “a hollow gray shell,” raising concerns that it could be a front for a blacklisted private equity firm. The Nvidia spokesperson said the company sells “the first, best and most of our technology in America.”
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Democrats’ historic victory in this week’s midterm elections could also have a dramatic effect on the tech industry. In dozens of local ballot measures, votersrejected data centers. And even when they weren’t voting on the issue directly, they were electing politicians — like Texas’ new governor-elect Gina Hinojosa — who campaigned on the promise of restricting data centers. On the latest episode ofTechCrunch’s Equity podcast, Kirsten Korosec, Sean O’Kane, and I discussed what the midterms mean for the tech industry. Sean kicked it off by noting that Elon Musk “seems to have gotten basically nothing out of donating half a billion dollars” to Republicans, while his companies are now headquartered “in a state that has, remarkably, turned about as blue as it could possibly turn.” And Kirsten said that while data centers probably weren’t the main cause of the “blue wave,” they’ve become an “an increasingly grassroots issue, in part because of how hyperscalers and companies have gone about” getting their projects approved. And now, “we’re already seeing companies like OpenAI all of a sudden go, ‘Actually, we can change our policies.’” Keep reading for a preview ofour conversation, edited for length and clarity. Sean O’Kane:First off, let’s talk about the fact that one of the biggest data center builders was also the largest donor to the Republican Party. Elon Musk seems to have gotten basically nothing out of donating half a billion dollars — maybe even more, by the time we see the final count — and in fact is now sitting there with all of his businesses in a state that has, remarkably, turned about as blue as it could possibly turn for the first time in a very long time, if ever. That, I think, is the biggest thing hanging above a lot of this discussion. But, there were also a bunch of ballot measures up around the country that would have paved the way for data centers to get built faster. Almost all of them got shot down, or voted against. [Actually, many of the ballot measures would have imposed restrictions or moratoriums on data centers, and almost all of those measures passed.] With [Democrats] in power, there is a consensus view, at least in the tech world, that this is going to mean we have a lot of roadblocks ahead for data centers, especially in places like Texas, where [you have] folks like the governor-elect [Gina] Hinojosa, who has spoken pretty openly about this being a campaign promise and something that she wants to focus on once she takes power, now that she’s beaten Greg Abbott. It’s the thing that I think the tech world is maybe a littletoofocused on. I’m curious what you guys think about that. Anthony Ha:I don’t necessarily think that they’re too focused on it, but I understand why it would feel a little bit disproportionate — the data center ballot measures, certainly there were a number of them, but it wasn’t something that was on the ballot everywhere. And in different races, the dynamic might have been a bit different, but there was this undercurrent and sense that it seems to be an issue that reaches across the country, that is bipartisan in a lot of ways, but that the Democrats seem to have been more effective at harnessing that energy. And of course, there’s all kinds of reasons why the Democrats did so well on Tuesday, but it does seem like anti-AI and especially anti-data center sentiment was a big part of it. That seems like a pretty potent political force. The next two years, [and] potentially beyond that, are going to be more difficult for tech companies in general, and hyperscalers, data center companies in particular. I also imagine that they have to be a little bit worried about: Is this going to continue to be an issue, not just with the people who got elected this year, but potentially in 2028 and beyond? Kirsten Korosec:Absolutely. I don’t think that the data center issue is what brought everyone to the polls and led to the quote-unquote “blue wave.” However, I will say that data centers have been an increasingly grassroots issue, in part because of how hyperscalers and companies have gone about getting these data centers [approved] — very secretive, oftentimes requiring NDAs of a elected officials or appointed officials, not sharing information about the scale of a project in very environmentally sensitive areas, including in the Southwest, where there’s very much a water scarcity issue. So I think that a lot of folks — Republicans, independents, and Democrats — all saw this as wrong. They were motivated by it, but I don’t think it was a singular issue. Now, here’s the interesting thing. There was a lot of waving of hands about how [AI companies] can’t possibly operate under any other circumstances. And we’re already seeing companies like OpenAI all of a sudden go, “Actually, we can change our policies.” They just released what they calla compute campus policy blueprint. And guess what? They’re not going to require NDAs anymore. They’re going to share their plans and supposedly operate in less secrecy. I think what this shows is that when you put up either a regulatory certainty in the marketplace, or at least signals of going in that direction, then corporations will respond. If you don’t do that, they will not necessarily do the thing that we hope that they will do. Anthony:One thing I want to emphasize is that they’re calling it this [their] “compute campus policy.” And part of what that’s doing, beyond laying out these policy changes, is also an attempt to rebrand data centers, because they have become such a toxic phrase. So they’re not data centers anymore, they are compute campuses, and I’m curious whether either of you think that’ll take. Sean:I mean, this is ridiculous. Come on. It’s not going to change anything. It’s going to cause them more effort. For a company that likes to say that it’s no longer focused on side quests, OpenAI still loves to go in different directions a lot. And this is just the latest kind of thing where it’s just like: Why are you spending time on this at all? It doesn’t really seem like it’s going to move the needle. Kirsten:I have a great idea for OpenAI. Because in the spirit of making threatening things seem cute, they should 100% create a compute campuses avatar, [a] cutesy thing, and then just present that instead of a power-, energy-sucking, water-sucking data center. Anthony:And if these are just lovely compute campuses, they should just build their own offices there or work next door, see how that works out for them. Something else that I’m wondering about is, to what extent the election is maybe the second part of a one-two punch. [We’ve just seen] a big shift in how Wall Street is reacting to a lot of these hyperscalers and AI companies and this sense that [investors] are not excited about the idea that they should be spending all this money building new data centers, spending all this money on compute. And so there’s a financial incentive not to build all these data centers. I’m very curious how that’s going to play out. [From a regulatory standpoint,] it’s probably going to be harder to build data centers. Wall Street is probably not going to reward you for building data centers. But at the same time, to get to the scale that they want to get to, they are probably going to need to build data centers somewhere.
Nvidia’s board of directorsannouncedSunday that it’s launching an independent investigation following reports thatCEO Jensen Huang was targeted by a Chinese spy operation. Nvidia alsopublished a messagethat Huang sent to the company admitting that he had an affair with Alice Huang, a former executive at Singapore-based chip company Megaspeed (though he didn’t mention her by name). A memo circulating among U.S. policymakers earlier this yearclaimed that Alice Huang had been recruited by China’s Ministry of State Securityto spy on Nvidia’s CEO. “I owe my family and all of you an apology,” Jensen Huang wrote. “I was unfaithful to my wife. My actions hurt her and our children. There is no excuse for what I did. I am deeply sorry.” Huang added that he’d “fallen short” of his responsibility to the company. “To my colleagues at NVIDIA, including those I have worked alongside for decades, and to our board, partners, and shareholders around the world: you deserve better from me,” he said. Asthe AI race between the United States and China heats up, chips, especially Nvidia’s chips, have beena major focus. Huang also seems to havea close relationship with President Donald Trump, who’s been a cheerleader of the AI (or “superintelligence”) industry. In its announcement, Nvidia’s board said that it has “no reason to believe” that either national security or company secrets were compromised. It also said that Huang “fully supports the review and has committed to cooperating with it,” and that the board has “confidence in Jensen and his leadership team.” The investigation will be conducted by independent directors working with outside legal counsel. In response to earlier reports about the CEO’s relationship with Alice Huang, Nvidia had said that the pair’s interactions were “not unusual,” and that the company does not share classified information with customers. Other companies involved in the AI boom havewarned employees to be wary of possible spies, including those offering sex or romance.
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Nvidia’s board announced Sunday that it’s launching anindependent investigationafter CEO Jensen Huang told staff he was unfaithful to his wife. But this isn’t a case of just another CEO having an extramarital affair. The romantic interest is Megaspeed executive Alice Huang, whom U.S. officials believe is a Chinese spy who was feeding information back to Beijing. In short, the stakes reach well beyond Nvidia, given how many tech and financial partners depend on its place at the center of the AI economy. “I’m responsible for anentire industry,” Huang recently told Bloomberg in a sit-down. A spokesperson for the Chinese Embassy in Washington dismissed the allegations in late October as “groundless smears and slanders,” and no one has been charged. But U.S. intelligence officials reportedly briefed President Donald Trump about their concerns a year ago, and unnamed senior officials inside the Trump administration told the Times that they doubt Huang could haveremained unawareall that time of Alice Huang’s intelligence-gathering role for China. When Trump was first briefed, the Times reported, officials didn’t believe Huang knew, and it isn’t clear whether their assessment has changed. The board, meanwhile, says it sees no sign that national security or company secrets were compromised. The question is whether Huang can survive this. To think through what could come next, this editor spoke Sunday with famed professor Jeffrey Sonnenfeld, senior associate dean for leadership studies at the Yale School of Management and founder of the Chief Executive Leadership Institute, which has hosted Huang at its CEO summits. Sonnenfeld likes Huang, he said, and he called Huang’s career salvageable but put the odds at “about a 50-50.” He also had a lot more food for thought. First, the damage. Until now, Huang has been “revered and trusted by everybody in technology,” Sonnenfeld noted. But he called this episode “remarkably poor judgment.” Even if Huang was merely naive, he said, “any employee in Nvidia other than him would be fired over this,” and the recklessness alone would mean “an irretrievable loss of confidence.” Sonnenfeld suggested that Huang’s saving grace could be what social psychologists callidiosyncrasy credits, if he can prove he was being duped. The term comes from Edwin Hollander, a social psychologist who proposed in a 1958 paper that people earn latitude in a group by showing competence and following its rules. Huang has been earning latitude since he co-founded Nvidia in 1993. But all that goodwill can run out when a screw-up looks self-serving or touches the group’s core norms. Here that group includes Nvidia’s board, its roughly 42,000 employees who are bound by security rules, and, in a looser sense, the U.S. government, given it restricts its exports. We also talked about precedents, except, as it turns out, there really are none for what’s unfolding right now. Executives who survive personal scandals sometimes pick up where they left off at another company, Sonnenfeld observed. Former HP CEO Mark Hurd is one example. Between 2005 and 2010, he drove HP to the top of the tech industry by revenue, then was pressured to resign after he filed inaccurate expense reports that hid a personal relationship with a contractor. Oracle hired him about a month later. Huang has no equivalent because Nvidia is his company As for the bench at Nvidia, that doesn’t really exist either. While there is typically a hierarchy inside companies of Nvidia’s scale and importance, Huang has kept things as flat as possible, with about 60 direct reports by his own account. That structure makes it hard to figure out who would succeed him (though his children, both of whom work at Nvidia, are sometimes the subject ofsuccession speculation). That won’t stop the worldwide guessing game that’s sure to follow. And boards in crisis often reach for a “messianic solution” from outside, Sonnenfeld said, floating former Google CEO Eric Schmidt as one idea. Nvidia’s role at the center of a massive and complex circular financing web is what makes this particular predicament so tricky and, undoubtedly, terrifying for a wide number of constituents. Nvidia isn’t just the biggest provider of chips driving the AI boom but also largely the bank behind the buildout. In addition to stakes in hundreds of smaller startups, Nvidia has invested in OpenAI, Anthropic, xAI, CoreWeave and Nebius. In August, it also signed preliminary agreements with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR aimed at mobilizing more than $500 billion over time, and Huang has said Nvidia could backstop up to a quarter of it. The move was widely interpreted as a way to spread risk. Still, a leadership crisis at the center is how a stumble becomes a collapse. So what’s Nvidia’s board likely doing right now? Sonnenfeld noted that Huang’s constant, public advocacy for selling advanced chips to China had already made people anxious. Anthropic’s Dario Amodei, whose company Nvidia has backed, had a lot to say about selling chips to China at Davos back in January, likening it to “selling nuclear weapons to North Korea.” Now the board’sindependent members— meaning everyone but Huang — will have to establish what technology reached China if any, and by what routes, including by better understanding Nvidia’s relationship with Megaspeed. The Singapore cloud company, which grew out of a Chinese gaming business and became Nvidia’s largest buyer in Southeast Asia, bought roughly$2 billion of its chips, the New York Times reported in October 2025, raising broader questions about whether it was helping China circumvent U.S. export restrictions by re-exporting the chips to China or renting them to Chinese customers remotely. (An Nvidia spokesperson told The Hill after the Times report that the allegations were “thoroughly investigated anddebunked last year.”) In the meantime, Huang will keep running the company, Nvidia said Sunday. That’ll be a tall order, even for a CEO who already spends much of his time traveling the world to promote Nvidia. For starters, three House chairmen want a closed-door briefing from Huang on November 18. Nvidia is also reporting its newest earnings on November 17. Sonnenfeld expects that even if Huang keeps the title, he’ll have to hand off some of the day-to-day decision-making. Only one thing is certain right now. Huang doesn’t own the kind of super-voting stock that would cement his power at Nvidia. Sonnenfeld often argues for dual-class structures that empower founders, and he says Huang’s success without one has been the best counterargument to that case. But if Huang had one, Sonnenfeld continued, removing him would be harder. This episode may be remembered as a pivotal moment for how the tech industry guards its secrets. Sonnenfeld argues tech has been “way too lax” compared with defense contractors that face clearance regimes. Thearrest last monthof an OpenAI engineer points to the same problem. He was accused of hiding a recording device behind a TV in an executive conference room, and while OpenAI has said it has no indication that model weights, source code, or customer data were accessed, the case highlights how exposed tech companies are to people who get close. Huang may well survive the investigation (Sonnenfeld hopes the board clears him of knowingly aiding anyone). The bigger test comes when Nvidia’s employees, customers and partners, and, indirectly, the millions of Americans with Nvidia in their 401(k) plans, have to decide whether an AI economy built largely on the judgment of Huang still makes sense.
The agreement covers software engineering, cloud, cybersecurity, and SAP modernisation, alongside plans to introduce Hexaware's AI frameworks.
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The NVIDIA CEO’s admission has triggered a board-level probe into allegations of Chinese intelligence involvement and potential risks to sensitive company information.
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Salesforce is positioning Slack as a work operating system for enterprises, with Slackbot bringing together organisational data, applications, and AI agents.
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The National Stock Exchange has introduced natural language stock screening, AI-assisted corporate announcement summaries, and market data access.
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India’s office-using workforce is projected to grow by nearly 9 million by 2030, even as AI automates routine tasks and commercial office vacancies rise.
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ZingHR is evolving from its workforce technology roots toward a broader proposition that connects employee and organisational data with business outcomes.
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Momentuum blue, Coforge’s FDE unit, will handle deployments using teams of engineers and AI agents embedded within client organisations.
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The deal strengthens its ability to help enterprises move AI initiatives into production and manage them at scale.
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