Connect with us

Business

From OpenAI to Nvidia, researchers agree: AI agents have a long way to go

Published

on



Welcome to Eye on AI! AI reporter Sharon Goldman here, filling in for Jeremy Kahn, who is on holiday. In this edition…General Services Administration approves OpenAI, Google, Anthropic for federal AI vendor list…Consequences of AI spending boom on U.S. economyClay AI raises $100 million at $3.1 billion valuation.

Only in the Bay Area does spending a Saturday geeking out about AI agents—alongside 2,000 students, researchers, and tech insiders crammed into UC Berkeley—feel like a totally normal weekend plan. As I picked up my badge at the day-long Agentic AI Summit and watched the line snake through the student union lobby, it felt less like an academic conference and more like Silicon Valley’s version of a buzzy New York brunch spot.

This was certainly due to the speaker lineup, which was stacked with top AI researchers and scientists, including Jakob Pachocki, chief scientist at OpenAI; Ed Chi, VP of research at Google DeepMind; Bill Dally, chief scientist at Nvidia; Ion Stoica, cofounder at Databricks & Anyscale, as well as a UC Berkeley professor; and Dawn Song, a pioneering UC Berkeley professor focused on AI security. 

The popularity might have been due to the buzzy topic—AI agents, generally defined as an AI-powered system that can complete tasks, mostly autonomously, using other software tools. Think not only suggested a vacation itinerary, but also booking the flight and making the hotel reservation.

As my colleague Jeremy Kahn said in a recent article, “This kind of automation is a perennial C-suite fever dream. Over the past decade, companies embraced ‘robotic process automation,’ or RPA. This was software that could automate repetitive tasks, such as cutting and pasting between database programs. But traditional RPA systems are inflexible and unable to deal with exceptions, and can usually handle only one narrow task.” Agentic AI is meant to be both more flexible and powerful, adapting to business needs.

In a January 2025 blog post, OpenAI CEO Sam Altman said, “We believe that, in 2025, we may see the first AI agents ‘join the workforce’ and materially change the output of companies.”

But despite the hype, the overall message at the Agentic AI Summit was cautious and grounded: Agents may be the buzziest trend in AI right now, but the tech still has a long way to go, they said. AI agents, unfortunately, aren’t always reliable. They may not remember what came before.

Google DeepMind’s Chi, for example, stressed the gap between what agents can do in curated demos versus what’s still needed in real-world production environments. Pachocki highlighted concerns around the safety, security, and trustworthiness of agentic systems, particularly when they’re integrated into sensitive applications or operate autonomously. 

“I still don’t think agents have really lived up to their promise,” said Sherwin Wu, head of engineering at OpenAI API. “Certain more generic cases have worked, but my day-to-day work doesn’t really feel that different with agents.”

While today’s agents may not currently live up to the massive hype (consider Salesforce CEO Marc Benioff’s recent claim that a shift to digital labor means he will be the “last CEO of Salesforce who only managed humans”), the speakers at the Agentic AI Summit still had plenty of optimism to share. Databricks’ Stoica expressed enthusiasm about infrastructure improvements that are making it easier to build agentic systems. Nvidia’s Dally suggested that continued hardware advances will enable more powerful and efficient agent behavior. Several pointed out “narrow wins” in specific domains, like coding.

Today’s AI agents may still have growing pains, but given the crowded UC Berkeley ballroom, the industry maintains its eye on the prize: AI agents that can reliably operate in the real world. The payoff, they believe, will be well worth the wait.

With that, here’s more AI news.

Sharon Goldman
sharon.goldman@fortune.com
@sharongoldman

AI IN THE NEWS

U.S. agency approves OpenAI, Google, Anthropic for federal AI vendor list. Reuters reported today that the General Services Administration, which is the U.S. government’s central purchasing arm, added OpenAI’s ChatGPT, Google’s Gemini, and Anthropic’s Claude to a list of approved AI vendors in order to accelerate use of the technology by government agencies. The tools will be available to the agencies through a platform with contract terms in place. The GSA said approved AI providers “are committed to responsible use and compliance with federal standards.”

The AI spending boom could have real consequences for the U.S. economy. According to the Washington Post, Big Tech’s record-breaking investment in artificial intelligence—more than $350 billion this year from Google, Meta, Amazon, and Microsoft—is becoming a major economic force, even as the broader U.S. economy shows signs of slowing. While job growth is cooling, this massive AI spending spree is fueling construction of data centers and driving demand for chips, servers, and networking gear—potentially boosting GDP growth by up to 0.7% in 2025. But economists warn the growing reliance on tech giants to prop up the economy is risky: if the AI boom loses steam, the economic fallout could be significant. 

AI sales tool Clay raises $100 million at a $3.1 billion valuation. The New York Times Dealbook reported that Clay, which helps sales reps and marketers find new leads and turn them into customers, has raised $100 million at a $3.1 billion valuation.The round was led by CapitalG, an investment arm of Alphabet, Google’s parent company. Other participants included Meritech Capital Partners and Sequoia Capital. It comes around six months after the start-up raised money at a $1.25 billion valuation.

EYE ON AI RESEARCH

Google DeepMind’s new Genie 3 ‘world model’ creates real-time interactive simulations. Google DeepMind has unveiled Genie 3, a powerful new AI system that can generate rich, interactive virtual worlds from simple text prompts—making it possible to navigate dynamic environments in real time at 24 frames per second. But while it’s tempting to immediately leap to using the model for the ultimate gaming experience, it’s actually the latest leap in the company’s long-term push toward ‘world models’—or AI systems that can learn how the world works and simulate real-world environments. These are seen as key to training advanced agents and, eventually, achieving artificial general intelligence. Unlike prior video generators, Genie 3 allows users to move through AI-generated environments that stay visually consistent over several minutes—and even respond to commands like “make it snow” or “add a character.” For now, DeepMind is limiting access to Genie 3 to a small group of researchers and creators while it explores responsible deployment and risk.

FORTUNE ON AI

North Korean IT worker infiltrations exploded 220% over the past 12 months, with gen AI weaponized at every stage of the hiring process —by Amanda Gerut

AI is doing job interviews now—but candidates say they’d rather risk staying unemployed than talk to another robot —by Emma Burleigh

These charts show how China is pulling ahead of the U.S. in the race to power the AI future —by Matt Heimer and Nick Rapp

AI CALENDAR

Sept. 8-10: Fortune Brainstorm Tech, Park City, Utah. Apply to attend here.

Oct. 6-10: World AI Week, Amsterdam

Oct. 21-22: TedAI San Francisco. Apply to attend here.

Dec. 2-7: NeurIPS, San Diego

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

BRAIN FOOD

Could “depth of thought” be key to AI reasoning? 

A tiny new AI model is challenging what we know about how models learn to reason: Researchers from Singapore’s Sapient Intelligence recently released the Hierarchical Reasoning Model (HRM), which draws inspiration from the brain’s layered thinking process—and the results have the AI community chattering. Despite being 100 times smaller than ChatGPT and trained on just 1,000 examples (with no internet data or step-by-step guidance), HRM solves tough logic problems like Sudoku, maze navigation, and abstract reasoning tasks that stump much larger models. Instead of mimicking human language, HRM reasons internally—quietly working through problems in hidden loops, much like a person thinking through a puzzle in their head. Its success hints at a radical shift in AI: one where depth of thought might matter more than scale.



Source link

Continue Reading

Business

Millionaire YouTuber Hank Green tells Gen Z to rethink their Tesla bets—and shares the portfolio changes he’s making to avoid AI-bubble fallout

Published

on



For years, YouTube star Hank Green has stuck to the same straightforward investing wisdom touted by legends like Warren Buffett: Put your money in an S&P 500 index fund and leave it alone.

It’s advice that has paid off handsomely for millions of investors: this year alone, the index is up roughly some 16%, and averaged more than 20% in gains over the last three years and roughly 14.6% over the past two decades. In most cases, it’s easily beaten investors who try to pick individual stocks like Tesla or Meta.

But as Wall Street frets over a possible AI-driven bubble—with voices from  “Big Short” investor Michael Burry to economist Mohamed El-Erian sounding alarms—Green isn’t waiting around to see what happens. He’s already rethinking how much of his own wealth is tied to Big Tech.

A major reason: The S&P 500 is more concentrated than ever. The top 10 companies—including Nvidia, Apple, Microsoft, Amazon, Google, and Meta—make up nearly 40% of the entire index. And nearly all of them are pouring billions into AI.

“I feel like my money is more exposed than I would like it to be,” Green said in a video that’s racked up over 1.6 million views. “I feel like by virtue of having a lot of my money in the S&P 500, I am now kind of betting on a big AI future. And that’s not a future that I definitely think is going to happen.”

So Green is hedging. He’s taking 25% of the money he previously invested in S&P 500 index funds—a meaningful chunk for a self-made millionaire—and moving it into a more diversified set of assets, including:

  • S&P 500 value index funds, which tilt toward companies with lower valuations and less AI-driven hype.
  • Mid-cap stocks, which he believes could benefit if smaller firms catch more of AI’s productivity gains.
  • International index funds, offering exposure outside the U.S. tech-heavy market.

Green’s thesis is simple: even if AI transforms the economy, the biggest winners may ultimately not be the mega-cap companies building the models.

“I think that these giant companies providing the AI models will actually be competing with each other for those customers in part by competing on price,” Green said. “And that might mean that the value delivered to small companies will be bigger than value delivered to the big AI companies. Who knows though? I just think that’s a thing that could happen.”

And if his concerns are overblown? He’s fine with that, too.

“If I’m wrong, 75% of my money is still in the safe place that everybody says your money should be, which is the S&P 500.”

YouTuber’s message to his Gen Z and Gen Alpha viewers: The stock market isn’t a ‘Ponzi scheme’

Gen Z continues to trail other generations in financial know-how—from saving and investing to understanding risk, according to TIAA. Moreover, one in four admit they are not confident in their financial knowledge and skill—a stark admission considering that 1 in 7 Gen Z credit card users have maxed out their credit cards and many young people hold thousands in student loan debt.

As a self-described “middle-aged, 45-year-old successful person,” Green said he’s trying to model what thoughtful, long-term decision-making actually looks like. And part of that effort includes dispelling one big misconception shared among some of his audience:

“I get these comments from people who are like, I can’t believe that you’re participating in this Ponzi scheme,” Green told Fortune. “I do want to alienate those people, because I don’t believe that the stock market is a Ponzi scheme. I do think that it’s overvalued right now, but I think that it’s tied to real value that’s really created in the world.”

His broader point: Investing isn’t about vibes or just dumping money into the hot stock of the week; rather, it’s something to seriously research.

“A lot of people think that investing is like getting a Robinhood account and buying Tesla,” Green added. “And I’m like, ‘Nope, you’ve got to get a Fidelity account and buy a low cost index fund everybody and or just keep it in your 401K and let the people who manage it manage it’—which is what a lot of people do, which is also fine.”

His younger viewers are paying attention. One popular comment summed it up: “As a young person entering the point in my life where I’m starting to think about investing, I really appreciate you talking through your logic and giving a ton of disclaimers rather than telling me I should buy buy buy exactly what you buy buy buy.” The comment has already racked up more than 4,700 likes.

Financial advisors agree: Portfolio diversification is king

While Green doesn’t come from a financial background, experts from the world of investing said they agree largely with his rationale: Having a diversified portfolio is the way to go—especially if you have worries about an AI bubble.

“Unlike many dot-com companies, today’s tech giants generally have substantial revenue, cash reserves, and established business models beyond just AI,” certified financial planner Bo Hanson, host of The Money Guy Show, said in a video analyzing Green’s take.

“Still, the concentration risk remains a valid concern for investors that are seeking diversification. However, this is precisely why we advise against putting all investments solely in the S&P 500, especially if you have a shorter time horizon.”

Hanson added wise investors spread their money across various asset classes, including small-caps, international, and bonds, in order to reduce portfolio volatility and provide

more consistent returns across various market environments.

It’s sentiment echoed by Doug Ornstein, director at TIAA Wealth Management, who said it’s important to realize that not every investment needs to chase growth.

“Particularly as you get older, having guaranteed income streams becomes crucial. Products like annuities can provide reliable payments regardless of market swings, creating a foundation of financial security,” Ornstein told Fortune. “Think of it as building a floor beneath your portfolio—one that market volatility can’t touch.”



Source link

Continue Reading

Business

Warren Buffett: Business titan and cover star

Published

on


Warren Buffett’s face—always smiling, whether he’s slurping  a milkshake, brandishing a lasso, or palling around with fellow multibillionaire Bill Gates—has graced the cover of Fortune more than a dozen times. And it’s no wonder: Buffett has been a towering figure in both business and 

investing for much of his—and Fortune’s—95 years on earth. (The magazine first hit newsstands in February 1930; Buffett was born that August.) As Geoff Colvin writes in this issue, Buffett’s investing genius manifested early, and he bought his first stock at age 11. By Colvin’s calculations, over the 60 years since Buffett took control of his company, Berkshire Hathaway, its returns have outpaced the S&P 500 by more than 100 to one.  

Buffett has always had a special relationship with Fortune, particularly with legendary writer and editor Carol Loomis, who profiled him many times, and to whom he broke the news of his paradigm-shifting moves in philanthropy in 2006 and 2010. The end of an era is upon us, as Buffett on Dec. 31 will step down from his role as Berkshire’s CEO. We’re grateful to have been along for the ride. 

Warren Buffett on the cover of Fortune in 2009 and 2010.

Cover photographs by David Yellen (2009), and Art Streiber (2010)

Warren Buffett on the cover of Fortune in 2003 and 2006.

Cover photographs by Michael O’Neill (2003), and Ben Baker (2006)

Warren Buffett on the cover of Fortune in 2001 and 2002.

Cover photographs by Michael O’Neill

Warren Buffett on the cover of Fortune in 1986 and 1998.

Cover photographs by Alex Kayser (1986) and Michael O’Neill (1998)



Source link

Continue Reading

Business

Kimberly-Clark exec says old bosses would compare her to their daughters when she got promoted

Published

on



Women have their own unique set of challenges in the workforce; the “motherhood penalty” can set them back $500,000, their C-suite representation is waning, and the gender pay gap has widened again. One senior executive from $36 billion manufacturing giant Kimberly-Clark knows the tribulations all too well—after all, she’s one of few women in the Fortune 500 who holds the coveted role. 

Tamera Fenske is the chief supply chain officer (CSCO) for Kimberly-Clark, who oversees a massive global team of 22,665 employees—around 58% of the global CPG manufacturer’s workforce. She’s in charge of optimizing the company’s entire supply chain, from sourcing raw materials for Kimberly-Clark products including Kleenex and Huggies, to delivering the final product into customers’ shopping carts. 

It’s a job that’s essential to most top businesses operating at such a massive scale; around 422 of the Fortune 500 have chief supply chain officers, according to a 2025 Spencer Stuart analysis. However, most of these slots are awarded to white men; only about 18% of executives in this position are women, and 12% come from underrepresented racial and ethnic backgrounds. It’s one of the C-suite roles with the least female representation, right next to chief financial officers, chief operating officers, and CEOs. 

In fact, Fenske is one of just 76 Fortune 500 female executives who have “chief supply chain officer” on their resumes. However, the executive tells Fortune it’s an unfortunate fact she “doesn’t think about” too often—if anything, it motivates her further.

“Anytime someone tells me I can’t do something, it makes me want to work that much harder to prove them wrong,” Fenske says. 

The first time Fenske noticed she was one of few women in the room

Fenske has spent her entire life navigating subjects dominated by men—something she didn’t even consider until college. 

Her father, aunts, uncles, and grandfather all worked for Dow Chemical, so she grew up in a STEM-heavy household. Naturally, she leaned into math and science as well, eventually pursuing a bachelor’s in environmental chemical engineering at Michigan Technological University. It was there that her eyes first opened to the reality that she was one of few women in the room. 

“It definitely was going to Michigan Tech, where I first realized the disparity,” Fenske said, adding that there was around an eight-to-one male-to-female ratio. “As you continue through the higher levels and the grades, it becomes even more tighter, especially as you get into your specialized engineering.” 

Once joining the world of work, it wasn’t only Fenske who noticed the lack of women in senior roles—some bosses would even point it out. 

The Fortune 500 boss is paying it forward—for both men and women

After Fenske graduated from Michigan Tech, she got her start at $91 billion manufacturer 3M: a multinational conglomerate producing everything from pads of Post-It notes to rolls of Scotch tape. Fenske was first hired as an environmental engineer in 2000. Promotion after promotion came, but all people could seem to focus on was her gender.

“It would come to light when I moved relatively quickly through the ranks. Some of my bosses would say, ‘You’re the age of my daughter,’ and different things like that. ‘You’re the first woman that’s had this role at this plant or in this division,’” Fenske recalls. Over the course of 2 decades, she rose through the company’s ranks to the SVP of 3M’s U.S. and Canada manufacturing and supply chain. 

And anytime she was asked about her gender? She’d flip the questions back at them while standing her ground. “I would always try to spin it a little bit and ask them questions like, ‘Okay, so what is your daughter doing?’…I always try to seek to understand where they are coming from, but then also reinforce what brought me to where I am.”

Now, three years into her current stint as Kimberly-Clark’s CSCO, the 47-year-old is paying it back—but not just to the women following in her footsteps.

“I never saw myself as necessarily a big, ground-breaker pioneer, even though the statistics would tell you I was,” Fenske says. “I tried to give back to women and men, to be honest. Because I think men [are] one of the strongest advocates for women as well. So I think we have to teach both how to have that equal lens and diverse perspective.”



Source link

Continue Reading

Trending

Copyright © Miami Select.