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Exec at $270 billion Cisco started his career making $4/hour waiting tables—he says the experience ‘wires you differently’ and is a must for Gen Z

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Gen Z is facing a tough job market. The unemployment rate for 16- to 24-year olds has climbed to 10.5%, and a growing share of young people are NEET—not in education, employment, or training.

For those looking to get ahead, the best career training might not come from a classroom or a corporate internship, but from a low-wage job in the service industry, says Jeetu Patel, now chief product officer at Cisco.

Before overseeing products at the tech giant, which has a market cap of about $270 billion, he spent his early 20s waiting tables at Sizzler, a steak house chain, making just $4 an hour. Far from something to hide, he says the experience shaped his work ethic and people skills—and ultimately helped him climb Silicon Valley’s corporate ladder.

“I think everyone in the early part of their career should work in the service industry somewhere,” Patel tells Fortune. “I think it’s so great to really get, you know, like, a level of appreciation for hospitality and customer service, and it just wires you differently.”

As a young man, he was introverted and even had a stutter. While there were easier ways to make money, he deliberately chose a customer-facing job to push himself out of his comfort zone.

“What happened while waiting on tables is—and it wasn’t even a conscious thing—that I was an introvert, and I realized if I don’t talk to people and don’t entertain them and give them a good experience, I’m not going to make a tip,” Patel says. “And if I don’t make a tip, then I’m just working a lot of long hours without the return.”

He would eventually go on to have leadership roles at tech firms like Doculabs, EMC, and Box before landing at Cisco. What ultimately helped him stand out, he says, was understanding that self-belief matters more than external validation—and that confidence, when grounded, can be a superpower.

“If you put your mind to something, you can basically figure out whatever you want to figure out.”

Patel’s message to Gen Z: Arrogance can be a killer

On the road to success, Patel thinks one of the biggest mistakes young professionals make is believing they can do it all on their own.

“Oftentimes, we let our pride and ego get in the way,” he says. “We’re like, ‘I’m going to try to be a self-made person.’ There’s no such thing as a self-made person; we live in an interconnected society where humans depend on humans, and so if you can stand on shoulders of giants, it just takes you farther.”

Because access to opportunity is not evenly distributed, Patel adds that receiving help isn’t something to feel guilty about. “If you have access to the resources and you don’t use them, then shame on you.”

Still, Patel warns Gen Z that confidence can quickly morph into arrogance. Instead, the key is to strike a balance between embracing opportunities that come your way while staying humble enough to recognize the privilege behind them and that others may have had to work much harder for the same chance.

The service-industry-to-C-suite pipeline

Patel is not alone in having risen from the service floor to the C-suite. Some of the world’s most prominent business leaders started out in customer-facing roles.

Amazon founder Jeff Bezos worked his first job at a McDonald’s outside of Miami, flipping burgers and cooking Egg McMuffins, an experience he’s said taught him responsibility, teamwork and how to handle pressure.

“You can learn responsibility in any job, if you take it seriously,” Bezos said in the 2012 book, Golden Opportunity: Remarkable Careers That Began at McDonald’s. “You learn a lot as a teenager working at McDonald’s. It’s different from what you learn in school. Don’t underestimate the value of that.”

Nvidia CEO Jensen Huang also began his career in the service industry—washing dishes at Denny’s. He often credited that job with instilling discipline and humility.

“No task is beneath me,” he said during a conversation with students at Stanford’s Graduate School of Business. “I used to be a dishwasher. I used to clean toilets. I cleaned a lot of toilets. I’ve cleaned more toilets than all of you combined. And some of them you just can’t unsee.”

But Gen Z may need to act fast to emulate their success as the kinds of jobs that have shaped many of today’s leaders may soon be harder to come by. A report released this week by U.S. Senator Bernie Sanders estimated that nearly 100 million jobs may be replaced by AI in the next decade—and fast food workers and customer service representatives are among the most vulnerable, with over 80% replacement rates.

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Databricks CEO Ali Ghodsi says company will be worth $1 trillion by doing these three things

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Ali Ghodsi, the CEO and cofounder of data intelligence company Databricks, is betting his privately held startup can be the latest addition to the trillion-dollar valuation club.

In August, Ghodsi told the Wall Street Journalthat he believed Databricks, which is reportedly in talks toraise funding at a $134 billion valuation, had “a shot to be a trillion-dollar company.” At Fortune’s Brainstorm AI conference in San Francisco on Tuesday, he explained how it would happen, laying out a “trifecta” of growth areas to ignite the company’s next leg of growth.

The first is entering the transactional database market, the traditional territory of large enterprise players like Oracle, which Ghodsi said has remained largely “the same for 40 years.” Earlier this year, Databricks launched a link-based offering called Lakehouse, which aims to combine the capabilities of traditional databases with modern data lake storage, in an attempt to capture some of this market.

The company is also seeing growth driven by the rise of AI-powered coding. “Over 80% of the databases that are being launched on Databricks are not being launched by humans, but by AI agents,” Ghodsi said. As developers use AI tools for “vibe coding”—rapidly building software with natural language commands—those applications automatically need databases, and Ghodsi they’re defaulting to Databricks’ platform.

“That’s just a huge growth factor for us. I think if we just did that, we could maybe get all the way to a trillion,” he said.

The second growth area is Agentbricks, Databricks’ platform for building AI agents that work with proprietary enterprise data.

“It’s a commodity now to have AI that has general knowledge,” Ghodsi said, but “it’s very elusive to get AI that really works and understands that proprietary data that’s inside enterprise.” He pointed to the Royal Bank of Canada, which built AI agents for equity research analysts, as an example. Ghodsi said these agents were able to automatically gather earnings calls and company information to assemble research reports, reducing “many days’ worth of work down to minutes.”

And finally, the third piece to Ghodsi’s puzzle involves building applications on top of this infrastructure, with developers using AI tools to quickly build applications that run on Lakehouse and which are then powered by AI agents. “To get the trifecta is also to have apps on top of this. Now you have apps that are vibe coded with the database, Lakehouse, and with agents,” Ghodsi said. “Those are three new vectors for us.”

Ghodsi did not provide a timeframe for attaining the trillion-dollar goal. Currently, only a handful of companies have achieved the milestone, all of them as publicly traded companies. In the tech industry, only big tech giants like Apple, Microsoft, Nvidia, Alphabet, Amazon, and Meta have managed to cross the trillion-dollar threshold.

To reach this level would require Databricks, which is widely expected to go public sometime in early 2026, to grow its valuation roughly sevenfold from its current reported level. Part of this journey will likely also include the expected IPO, Ghodsi said.

“There are huge advantages and pros and cons. That’s why we’re not super religious about it,” Ghodsi said when asked about a potential IPO. “We will go public at some point. But to us, it’s not a really big deal.”

Could the company IPO next year? Maybe, replied Ghodsi.



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New contract shows Palantir working on tech platform for another federal agency that works with ICE

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Palantir, the artificial intelligence and data analytics company, has quietly started working on a tech platform for a federal immigration agency that has referred dozens of individuals to U.S. Immigration and Customs Enforcement for potential enforcement since September.

The U.S. Citizenship and Immigration Services agency—which handles services including citizenship applications, family immigration, adoptions, and work permits for non-citizens—started the contract with Palantir at the end of October, and is paying the data analytics company to implement “Phase 0” of a “vetting of wedding-based schemes,” or “VOWS” platform, according to the federal contract, which was posted to the U.S. government website and reviewed by Fortune.

The contract is small—less than $100,000—and details of what exactly the new platform entails are thin. The contract itself offers few details, apart from the general description of the platform (“vetting of wedding-based schemes”) and an estimate that the completion of the contract would be Dec. 9.Palantir declined to comment on the contract or nature of the work, and USCIS did not respond to requests for comment for this story.

But the contract is notable, nonetheless, as it marks the beginning of a new relationship between USCIS and Palantir, which has had longstanding contracts with ICE, another agency of the Department of Homeland Security, since at least 2011. The description of the contract suggests that the “VOWS” platform may very well be focused on marriage fraud and related to USCIS’ recent stated effort to drill down on duplicity in applications for marriage and family-based petitions, employment authorizations, and parole-related requests.

USCIS has been outspoken about its recent collaboration with ICE. Over nine days in September, USCIS announced that it worked with ICE and the Federal Bureau of Investigation to conduct what it called “Operation Twin Shield” in the Minneapolis-St. Paul area, where immigration officials investigated potential cases of fraud in immigration benefit applications the agency had received. The agency reported that its officers referred 42 cases to ICE over the period. In a statement published to the USCIS website shortly after the operation, USCIS director Joseph Edlow said his agency was “declaring an all-out war on immigration fraud” and that it would “relentlessly pursue everyone involved in undermining the integrity of our immigration system and laws.” 

“Under President Trump, we will leave no stone unturned,” he said.

Earlier this year, USCIS rolled out updates to its policy requirements for marriage-based green cards, which have included more details of relationship evidence and stricter interview requirements.

While Palantir has always been a controversial company—and one that tends to lean into that reputation no less—the new contract with USCIS is likely to lead to more public scrutiny. Backlash over Palantir’s contracts with ICE have intensified this year amid the Trump Administration’s crackdown on immigration and aggressive tactics used by ICE to detain immigrants that have gone viral on social media. Not to mention, Palantir inked a $30 million contract with ICE earlier this year to pilot a system that will track individuals who have elected to self-deport and help ICE with targeting and enforcement prioritization. There has been pushback from current and former employees of the company alike over contracts the company has with ICE and Israel.

In a recent interview at the New York Times DealBook Summit, Karp was asked on stage about Palantir’s work with ICE and later what Karp thought, from a moral standpoint, about families getting separated by ICE. “Of course I don’t like that, right? No one likes that. No American. This is the fairest, least bigoted, most open-minded culture in the world,” Karp said. But he said he cared about two issues politically: immigration and “re-establishing the deterrent capacity of America without being a colonialist neocon view. On those two issues, this president has performed.”



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CoreWeave CEO: Despite see-sawing stock, IPO was ‘incredibly successful’ amid challenges of tariff timing

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CoreWeave has been rocked by dizzying stock swings—with its stock currently trading 52% below its post-IPO high—and a frequent target of market commentators, but CEO Michael Intrator says the company’s move to the public markets has been “incredibly successful. And he takes the public’s mixed reaction in stride, given the novelty of CoreWeave’s “neocloud” business which competes with established cloud providers like Amazon AWS and Google Cloud.

“When you introduce new models, introduce a new way of doing business, disrupt what has been a static environment, it’s going to take some people some time,” Intrator said Tuesday at Fortune’s Brainstorm AI conference in San Francisco. But, he added, more people are beginning to understand the CoreWeave’s business model.

“We came out into one of the most challenging environments,” Intrator said of CoreWeave’s March IPO, which occurred very close to President Trump’s “Liberation Day” tariffs in April. “In spite of the incredible headwinds, we’re able to launch a successful IPO.”

CoreWeave, which priced its IPO at $40 per share, has experienced frequent severe up-and-down price swings in the eight months since its public market debut. At its closing price of $90.66 on Tuesday, the stock remains well above its IPO price.

As Fortune reported last month, CoreWeave’s rapid rise has been fueled by an aggressive, debt-heavy strategy to stand up data centers at unprecedented speed for AI customers. And for now, the bet is still paying off. In its third-quarter results released in November, the company said its revenue backlog nearly doubled in a single quarter—to $55.6 billion from $30 billion—reflecting long-term commitments from marquee clients including Meta, OpenAI, and French AI startup Poolside. Both earnings and revenue came in ahead of Wall Street expectations.

But the numbers were not all celebratory. CoreWeave disclosed a further increase in the debt it has taken on to finance its expansion, and it revised its full-year revenue outlook downward—suggesting that, even with historic demand in the pipeline.

With media headlines calling CoreWeave a “ticking time bomb,” with critics calling out insider stock sales, circular financing accusations and an overreliance on Nvidia, Intrator was asked whether he felt CoreWeave was misunderstood.

“Look, we built a company that is challenging one of the most stable businesses that exist—that cloud business, these three massive players,” he said, referring to AWS, Microsoft Azure and Google Cloud.  I feel like it’s incumbent on CoreWeave to introduce a new business model on how the cloud is going to be built and run. And that’s what we’re doing.” 

He repeatedly framed CoreWeave not as a GPU reseller or traditional data-center operator but as a company purpose-built from scratch to deliver high-performance, parallelized computing for AI workloads. That focus, he said, means designing proprietary software that orchestrates GPUs, building and colocating its own infrastructure, and moving “up the stack” through acquisitions such as Weights & Biases and OpenPipe.

Intrator also defended the company’s debt strategy, saying CoreWeave is effectively inventing a new financing model for AI infrastructure. He pointed to the company’s ability to repurpose power sources, rapidly deploy capacity, and finance large-scale clusters as proof it is solving problems incumbents never had to face.

“When I look back at history of the company, it took us a year with with a company investor like Fidelity, before they were like, ‘Oh, I get it,’” he said. “So look, we’ve been public for eight months. I couldn’t be prouder of what the company has accomplished.” 



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