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Why this company says the state of AI security is ‘grim’

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Welcome to Eye on AI, with AI reporter Sharon Goldman. In this edition…Mark Zuckerberg and Priscilla Chan have restructured their philanthropy to focus on AI and science…Apple is reportedly finalizing a deal to pay Google about $1 billion per year to use a 1.2-trillion-parameter AI model to power a major overhaul of Siri…OpenAI CFO Sarah Friar clarifies comment, says company isn’t seeking government backstop.

As the wife of a cybersecurity pro, I can’t help but pay attention to how AI is changing the game for those on the digital front lines—making their work both tougher and smarter at the same time. I often joke with my husband that “we need him on that wall” (a nod to Jack Nicholson’s famous A Few Good Men monologue), so I’m always tuned in to how AI is transforming both security defense and offense.

That’s why I was curious to jump on a Zoom with AI security startup Cyera’s co-founder and CEO Yotam Segev and Zohar Wittenberg, general manager of Cyera’s AI security business. Cyera’s business, not surprisingly, is booming in the AI era–it’s ARR has surpassed $100 million in less than two years and the company’s valuation is now over $6 billion–thanks to surging demand from enterprises scrambling to adopt AI tools without exposing sensitive data or running afoul of new security risks. The company, which is on Fortune’s latest Cyber 60 list of startups, has a roster of clients that includes AT&T, PwC, and Amgen.

“I think about it a bit like Levi’s in the gold rush,” said Segev. Just as every gold digger needed a good pair of jeans, every enterprise company needs to adopt AI securely, he explained. 

The company also recently launched a new research lab to help companies get ahead of the fast-growing security risks created by AI. The team studies how data and AI systems actually interact inside large organizations—tracking where sensitive information lives, who can access it, and how new AI tools might expose it. 

I must say I was surprised to hear Segev describe the current state of AI security as “grim,” leaving CISOs—chief information security officers—caught between a rock and a hard place. One of the biggest problems, he and Wittenberg told me, is that employees are using public AI tools such as ChatGPT, Gemini, Copilot, and Claude either without company approval or in ways that violate policy—like feeding sensitive or regulated data into external systems. CISOs, in turn, face a tough choice: block AI and slow innovation, or allow it and risk massive data exposure.

“They know they’re not going to be able to say no,” said Segev. “They have to allow the AI to come in, but the existing visibility controls and mitigations they have today are way behind what they need them to be.” Regulated organizations in industries like healthcare, financial services or telecom are actually in a better position to slow things down, he explained: “I was meeting with a CISO for a global telco this week. She told me, ‘I’m pushing back. I’m holding them at bay. I’m not ready.’ But she has that privilege, because she’s a regulated entity, and she has that place in the company. When you go one step down the list of companies to less regulated entities. They’re just being trampled.” 

For now, companies aren’t in too much hot water, Wittenberg said, because most AI tools aren’t yet fully autonomous. “It’s just knowledge systems at this point—you can still contain them,” he explained. “But once we reach the point where agents take action on behalf of humans and start talking to each other, if you don’t do anything, you’re in big trouble.” He added that within a couple of years, those kinds of AI agents will be deployed across enterprises.

“Hopefully the world will move at a pace that we can build security for it in time,” he said. “We’re trying to be make sure that we’re ready, so we can help organizations protect it before it becomes a disaster.” 

Yikes, right? To borrow from A Few Good Men again, I wonder if companies can really handle the truth: when it comes to AI security, they need all the help they can get on that wall.

Also, a small self-promotional moment: Yesterday I published a new Fortune deep-dive profile on OpenAI’s Greg Brockman — the engineer-turned-power-broker behind its trillion-dollar AI infrastructure mission. It’s a wild story, hope you’ll check it out! It’s one of my favorite stories I worked on this year.

With that, here’s more AI news.

Sharon Goldman
sharon.goldman@fortune.com
@sharongoldman

FORTUNE ON AI

Meet the power broker of the AI age: OpenAI’s ‘builder-in-chief’ helping to turn Sam Altman’s trillion-dollar data center dreams into realityby Sharon Goldman

Microsoft, freed from relying on OpenAI, joins the race for ‘superintelligence’—and AI chief Mustafa Suleyman wants to ensure it serves humanity–by Sharon Goldman

The under-the-radar factor that helped Democrats win in Virginia, New Jersey, and Georgiaby Sharon Goldman

Exclusive: Voice AI startup Giga raises $61 million to take on customer service automationby Beatrice Nolan

OpenAI’s new safety tools are designed to make AI models harder to jailbreak. Instead, they may give users a false sense of securityby Beatrice Nolan

AI IN THE NEWS

Mark Zuckerberg and Priscilla Chan have restructured their philanthropy to focus on AI and science. The New York Times reported today that Mark Zuckerberg and Priscilla Chan’s philanthropy, the Chan Zuckerberg Initiative, is going all-in on AI. Once known for its sweeping ambitions to fix education and social inequality, CZI announced a major restructuring to focus squarely on AI-driven scientific research through a new organization called the Chan Zuckerberg Biohub Network. The group even acquired the team behind AI startup Evolutionary Scale, naming its chief scientist Alex Rives as head of science. It’s a boomerang move for Rives: When I interviewed him about Evolutionary Scale last year, he explained that he had led a research cohort known as Meta’s “AI protein team” that in August 2023 was disbanded as part of Mark Zuckerberg’s “year of efficiency” that led to over 20,000 layoffs at Meta. Undeterred, he immediately spun up a startup with a core group of his former Meta colleagues, called Evolutionary Scale, to continue their work building large language models that, instead of generating text, images, or video, generate recipes for entirely new proteins.

Apple is reportedly finalizing a deal to pay Google about $1 billion per year to use a 1.2-trillion-parameter AI model to power a major overhaul of Siri. According to Bloomberg, after testing models from Google, OpenAI, and Anthropic, Apple has chosen Google’s technology to help rebuild Siri’s underlying system. The partnership would give Apple access to Google’s massive AI infrastructure, enabling more capable, conversational versions of Siri and new features expected to launch next spring. Both companies declined to comment publicly. While the hope is reportedly to use the technology as an interim solution until Apple’s own models are powerful enough, my colleague Jeremy Kahn and I both wonder if this might ultimately signal that Apple has given up trying to compete in the AI model game with their own native technology for Siri.

OpenAI CFO Sarah Friar clarifies comment, says company isn’t seeking government backstop. CNBC reported that OpenAI CFO Sarah Friar clarified late Wednesday that the company is not seeking a government “backstop” for its massive infrastructure buildout, walking back remarks she made earlier at the Wall Street Journal’s Tech Live event. Friar said her comments about a potential federal guarantee “muddied the point,” explaining that she meant the U.S. and private sector must both invest in AI as a national strategic asset. Her clarification comes as OpenAI faces scrutiny over how it will finance more than $1.4 trillion in data center and chip commitments despite reporting roughly $13 billion in revenue this year. CEO Sam Altman has brushed off concerns, calling AI infrastructure the foundation of America’s technological strength.

AI CALENDAR

Nov. 10-13: Web Summit, Lisbon. 

Nov. 19: Nvidia third quarter earnings

Nov. 26-27: World AI Congress, London.

Dec. 2-7: NeurIPS, San Diego

Dec. 8-9: Fortune Brainstorm AI San Francisco. Apply to attend here.

EYE ON AI NUMBERS

82%

That’s how many CISOs face pressure from boards or executives to increase efficiency using AI-driven automation, according to a new survey of 100 chief information security officers from Nagomi Security called the 2025 CISO Pressure Index

Other key findings included: 

  • 59% of CISOs say they fear AI attacks more than any other over the next 12 months. 

  • 47% expect agentic AI to be their top concern within the next two to three years.

  • 80% of CISOs say they are under high or extreme pressure right now, and 87% report that pressure has climbed over the past year.

 

Fortune Brainstorm AI returns to San Francisco Dec. 8–9 to convene the smartest people we know—technologists, entrepreneurs, Fortune Global 500 executives, investors, policymakers, and the brilliant minds in between—to explore and interrogate the most pressing questions about AI at another pivotal moment. Register here.



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Jensen Huang says AI bubble fears are dwarfed by ‘largest infrastructure buildout in human history’

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Pushing back against growing skepticism regarding the sustainability of artificial intelligence spending, Nvidia CEO Jensen Huang argued against the mountain backdrop of Davos, Switzerland, that high capital expenditures are not a sign of a financial bubble, but rather evidence of “the largest infrastructure buildout in human history.”

Speaking in conversation with BlackRock CEO Larry Fink, the interim co-chair of the World Economic Forum, Huang detailed an industrial transformation that extends far beyond software code, reshaping global labor markets and driving unprecedented demand for skilled tradespeople. While much of the public debate focuses on the potential for AI to replace white-collar jobs, Huang pointed to an immediate boom in blue-collar employment required to physically construct the new computing economy.

“It’s wonderful that the jobs are related to tradecraft, and we’re going to have plumbers and electricians and construction and steel workers,” Huang said. He noted the urgency to erect “AI factories,” chip plants, and data centers has radically altered the wage landscape for manual labor. “Salaries have gone up, nearly doubled, and so we’re talking about six-figure salaries for people who are building chip factories or computer factories,” Huang said, emphasizing the industry is currently facing a “great shortage” of these workers.

Ford CEO Jim Farley has been warning for months about the labor shortage in what he calls the “essential economy,” exactly the type of jobs mentioned by Huang in Davos. Earlier this month, Farley told Fortune these 95 million jobs are the “backbone of our country,” and he was partnering with local retailer Carhartt to boost workforce development, community building, and “the tools required by the men and women who keep the American Dream alive.” 

It’s time we all reinvest in the people who make our world work with their hands,” Farley said.

In October, at Ford’s Pro Accelerate conference, Farley shared that his own son was wrestling with whether to go to college or pursue a career in the trades. The Ford CEO has estimated the shortage at 600,000 in factories and nearly the same in construction.

Huang dismisses bubble fears

Fink brought up the bubble talk for a good reason: Fear of a popping bubble gripped markets for much of the back half of 2025, with luminaries such as Amazon founder Jeff Bezos, Goldman Sachs CEO David Solomon, and, just the previous day in Davos, Microsoft CEO Satya Nadella, warning about the potential for pain. Much of this originated in the underwhelming release of OpenAI’s GPT-5 in August, but also the MIT study that found 95% of generative AI pilots were failing to generate a return on investment. “Permabears” such as Albert Edwards, global strategist at Société Générale, have talked about how there’s likely a bubble brewing—but then again, they always think that.

Huang, whose company became the face of the AI revolution when it blew past $4 trillion in market capitalization (a bar recently reached by Alphabet on the positive release of its Gemini update), tackled these fears in conversation with Fink, arguing the term misdiagnoses the situation. Critics often point to the massive sums being spent by hyperscalers and corporations as unsustainable, but Huang countered the appearance of a bubble happens because “the investments are large … and the investments are large because we have to build the infrastructure necessary for all of the layers of AI above it.”

Huang went deeper on his food metaphor, describing the AI industry as a “five-layer cake” requiring total industrial reinvention, with Nvidia’s chips a particularly crunchy part of the recipe. The bottom layer is energy, followed by chips, cloud infrastructure, and models, with applications sitting at the top. The current wave of spending is focused on the foundational layers—energy and chips—which creates tangible assets rather than speculative vapor. Far from a bubble, he described a new industry being built from the ground up.

“There are trillions of dollars of infrastructure that needs to be built out,” Huang said, noting that the world is currently only “a few 100 billion dollars into it.”

To prove the market is driven by real demand rather than speculation, Huang offered a practical “test” for the bubble theory: the rental price of computing power as seen in the price of Nvidia’s GPU chips.

“If you try to rent an Nvidia GPU these days, it’s so incredibly hard, and the spot price of GPU rentals is going up, not just the latest generation, but two-generation-old GPUs,” he said. This scarcity indicates established companies are shifting their research and development budgets—such as pharmaceutical giant Eli Lilly moving funds from wet labs to AI supercomputing—rather than simply burning venture capital.

Beyond construction and infrastructure, Huang addressed the broader anxiety regarding AI’s impact on human employment. He argued AI ultimately changes the “task” of a job rather than eliminating the “purpose” of the job. Citing radiology as an example, he noted that despite AI diffusing into every aspect of the field over the last decade, the number of radiologists has actually increased. Because AI handles the task of studying scans infinitely faster, doctors can focus on their core purpose: patient diagnosis and care, leading to higher hospital throughput and increased hiring.

Fink reframed the issue, based on Huang’s pushback. “So what I’m hearing is, we’re far from an AI bubble. The question is, are we investing enough?” Fink asked, positing that current spending levels might actually be insufficient to broaden the global economy.

Huang appeared to say: not really. “I think the the opportunity is really quite extraordinary, and everybody ought to get involved. Everybody ought to get engaged. We need more energy,” he said, adding the industry needs more land, power, trade, scale and workers. Huang said the U.S. has lost its workforce population in many ways over the last 20-30 years, “but it’s still incredibly strong,” and in Europe, pointing around him in Switzerland, he saw “an extraordinary opportunity to take advantage of.” He noted 2025 was the largest investment year in venture capital history, with $100 billion invested around the world, mostly on AI natives.”

Huang concluded by emphasizing this infrastructure buildout is global, urging developing nations and Europe to engage in “sovereign AI” by building their own domestic infrastructure. For Europe specifically, he highlighted a “once-in-a-generation opportunity” to leverage its strong industrial base to lead in “physical AI” and robotics, effectively merging the new digital intelligence with traditional manufacturing. Far from a bubble, he seemed to be saying, this is just the beginning.



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Nearly 400 millionaires and billionaires are demanding Davos leaders to tax them more: ‘Tax us. Tax the super rich.’

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While the wealthiest business leaders from U.S. president Donald Trump to Nvidia CEO Jensen Huang touch down in the Swiss town of Davos to discuss the state of the world, a cohort of the ultra-rich are already sounding the alarm. Hundreds of millionaires and billionaires released an open letter in time for the World Economic Forum, calling on leaders attending the conference to fight raging wealth inequality with taxes. 

“Millionaires like us refuse to be silent. It is time to be counted. Tax us and make sure the next fifty years meet the promise of progress for everyone,” the letter stated

“Extreme wealth has led to extreme control for those who gamble with our safe future for their obscene gains. Now is the time to end that control and win back our future.”

So far, nearly 400 millionaires and billionaires across 24 countries have signed the letter condemning extreme wealth, including the likes of Hollywood actor Mark Ruffalo, Disney heirs Abby and Tim Disney, and real estate developer Jeffrey Gural.

The open letter is part of a “Time to Win” campaign, led by wealth redistribution organizations including Patriotic Millionaires, Millionaires for Humanity, and Oxfam. It criticized global oligarchs with riches who have “bought up” democracies, exacerbated poverty, stifled tech innovation, dampened press freedom, and overall, “accelerated the breakdown of our planet.” After all, 77% of millionaires from G20 nations think extremely wealthy individuals buy political influence, and 71% believe those with riches can significantly influence elections, according to a poll conducted for Patriotic Millionaires.

The Time to Win wealthy signatories offer a simple solution: “Tax us. Tax the super rich.”

“As millionaires who stand shoulder to shoulder with all people, we demand it,” the open letter continued. “And as our elected representatives—whether it’s those of you at Davos, local councillors, city mayors, or regional leaders—it’s your duty to deliver it.

Stars and billionaires are calling out the super-rich for being ungenerous 

As the world mints hundreds of thousands of millionaires yearly and billionaire wealth soars to record highs, some leaders can’t stand to stay quiet. Celebrities and the ultra-rich haven’t just sent a message to money-hoarders with the Time to Win letter—some have even called out billionaires in person, questioning their existence. 

“If you’re a billionaire, why are you a billionaire? No hate, but yeah, give your money away, shorties,” Eilish said onstage last year at the WSJ Magazine Innovator Awards with Meta mogul Mark Zuckerberg, worth $214 billion, in attendance. 

Even the most philanthropic members of the ultra-rich club are wary of their peers’ lack of charity. Billionaires have started their own initiatives like Warren Buffett, Melinda French Gates, and Bill Gates’ The Giving Pledge, which attracted more than 250 billionaires who pledged to donate at least half of their wealth during their lifetimes, or in their wills. But efforts have largely fallen short. Last year, French Gates admitted that the signatories haven’t given enough; And in a letter to shareholders, Buffett fessed up to the fact that billionaires aren’t following through. 

“Early on, I contemplated various grand philanthropic plans. Though I was stubborn, these did not prove feasible,” Buffett wrote. “During my many years, I’ve also watched ill-conceived wealth transfers by political hacks, dynastic choices, and, yes, inept or quirky philanthropists.”

Billionaire and millionaire wealth is on the rise 

There’s more people rolling in riches than ever before, and it’s fueling an equity crisis at the bottom of the economic ladder. 

In 2024 alone, the U.S. minted 379,000 new millionaires—over 1,000 millionaires every day—as the proportion of Americans in the ultrawealthy club swelled by 1.5%, according to a 2025 report from investment bank UBS. This cohort held about $107 trillion in total wealth at the end of that year: more than four times the amount they owned at the turn of the millennium. 

In 2000, there were only 13.27 million everyday millionaires, but by the end of 2024, the group swelled to 52 million people worldwide. 

While it might appear that eye-watering riches are spreading out to a larger number of individuals, it’s mainly concentrating at the top. America’s top 20% household earners—averaging a net worth of $4.3 million—accounted for about 71% of the U.S.’s total wealth at the end of 2024, according to 2025 data from the Federal Reserve. 

Meanwhile, the bottom half of American households, averaging about $60,000 in wealth, owned just 2.5% of the country’s wealth. For the vast majority of U.S. citizens, joining the millionaire club—and even more so, the billionaire club—is a total pipe dream.



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Trump fast tracks ‘three-week’ nuclear approval for big tech to fuel AI race

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President Donald Trump offered Silicon Valley an extraordinary deal on Wednesday: Build your own nuclear power plants to fuel AI, and his administration will approve them in just three weeks.

Speaking at the World Economic Forum in Davos, Switzerland, Trump addressed a room of tech executives struggling with an aging U.S. electrical grid.

“I came up with the idea,” Trump said. “You people are brilliant. You have a lot of money. You can build your own electric generating plants.”

Trump talked for about 10 minutes about energy in his speech, making it clear Trump views a straining electric grid as a central economic risk of 2026. As artificial intelligence pushes electricity demand to record highs, the administration is framing power shortages as an existential threat to growth and national security. Slashing approval timelines, Trump argued, is a necessary response to an energy system he said he believes is fundamentally unprepared for the AI era.

“We needed more than double the energy currently in the country just to take care of the AI plants,” Trump said. 

The proposal marks a radical departure from the traditional Nuclear Regulatory Commission (NRC) process, which historically requires four to five years for environmental and design approvals as well as rigorous site selection. Trump claimed that while tech leaders initially “didn’t believe him,” he assured them the government would deliver approvals for oil and gas plants in just two weeks, with nuclear projects following in three.

Trump said he wasn’t “a big fan” of nuclear power before, but now sees it as a newly viable solution due to safety improvements. 

“The progress they’ve made with nuclear is unbelievable,” he said. “We’re very much into the world of nuclear energy, and we can have it now at good prices and very, very safe.” 

While the potential upcoming wave of small modular nuclear reactors (SMR) could receive regulatory approvals in less than two years, there is little basis for going through an approval process with the Nuclear Regulatory Commission in closer to three weeks, and such an expedited process would trigger widespread concerns about safety and environmental risks.

Trump also touted a new energy alliance with Venezuela, noting the U.S. secured 50 million barrels of oil last week following the “end of an attack” on the nation that led to the deposition of President Nicolás Maduro. He said the new cooperation between the two nations would make Venezuela “fantastically well” while driving U.S. gasoline prices toward $2.00 a gallon.

Gasoline prices are the main inflationary measure by which costs have fallen during the first year of the new Trump administration. But they’re nowhere close to $2.00 per gallon. The national average for a gallon of regular unleaded is $2.76 per gallon this week, down 32 cents from a year ago, primarily because of rising OPEC oil production.

But Trump drew a sharp contrast with Europe’s energy landscape. Trump mocked the “Green New Scam,” citing a 64% spike in German electricity prices and the “catastrophic” decline of energy production in the United Kingdom. He targeted the North Sea and the proliferation of wind farms, which he labeled “losers” that “kill the birds.”

“Stupid people buy” wind farms, Trump laughed.



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