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Big banks can ‘afford to be a little behind the curve’ on AI, and let smaller startups make riskier bets

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Banks are trying to navigate a tricky balance when it comes to AI adoption. Move too slow, and risk being overtaken by more nimble rivals—but move too fast, and one mishap could destroy one’s reputation as a responsible financial actor. 

Craig Corte, global head for digital, data and coverage platforms for corporate and investment banking at Standard Chartered, said he is fine if his employer decided to be a “good follower” on AI, given the risks involved if a major financial institution screws up.

“I don’t think we should be at the cutting edge of innovation around AI as a big bank. I think that’s a risky place to be, and there are a lot of other organizations and industries that can be there,” Corte said last week at the Fortune Brainstorm AI Singapore conference. “I think we can afford to be a little bit behind the curve.”

Tianyi Zhang, general manager of risk management and cybersecurity at Ant International, pointed to three risks posed by AI. (Ant International is a partner of Fortune Brainstorm AI Singapore.) The first is AI’s penchant to make things up, or “hallucinate.” The second is the possibility for different AI agents to work directly with each other, which opens up new avenues for external attacks. The third is deepfakes, including the possibility that fake customers are generated as an attack vector. 

Tianyi Zhang, general manager of risk management and cybersecurity at Ant International.

Fortune

Still, Zhang said AI was making parts of his job easier, offering up the example of how it can augment the skills of entry-level financial investigators. 

Banking customers are also thinking about whether to trust AI. Vivien Jong, chief digital and AI officer for Asia at BNP Paribas Wealth Management, noted that younger clients have embraced AI due to its speed and transparency. “They want to use AI to look for thematic investing around sustainability or tech,” she said. Older customers, however, are more cautious, seeing the new technology as a “support tool, and not something to be used for investing.”

Large vs. small

Corte and Zhang were part of a panel exploring how AI is set to transform the financial industry. One key question was what kind of institution might benefit most from AI: large established banks, or smaller scrappier startups? 

Larger established players have previously been slow to adopt new technologies—and often paid the price for their hesitation. But this time around, bigger companies are far more eager to adopt AI.

“For those of us that were around in the first digital revolution, it was a bunch of outsiders and small companies trying to convince the big incumbent players that they needed to digitize their businesses,” Corte said. 

But unlike previous instances of digital transformation, where larger established players struggled to keep up, bigger banks are more eager to adopt new technology this time around.

“For those of us that were around in the first digital revolution, it was a bunch of outsiders and small companies trying to convince the big incumbent players that they needed to digitize their businesses,” Corte said. “That is completely reversed today. The biggest players in the world with the most customers, with the biggest balance sheets, [they] are the ones driving the AI agenda.”

Smaller startups, meanwhile, can struggle with long-term horizons or lengthy documentation needed to work with a big bank. Jong, from BNP Paribas, shared her own struggles about working with smaller startups, including one that “went offline because it didn’t get paid for two weeks.” One hangup was the size of BNP’s contracts. Jong recounted that one startup was so uneasy about a 60-page master service agreement, it said it would rather work for free for six months. 

Vivien Jong, chief digital and AI officer for Asia at BNP Paribas Wealth Management.

Fortune

Zhang, from Ant, approached the conversation of size from a different vantage point: Ant’s customers.

“Some of our clients…are very small. They could be a couple, a husband and wife operating their online store in their one-bedroom apartment,” Zhang noted. Normally, such small customers would struggle to handle all the different risks that come with running a small business. But “with AI’s help, they can have access to all the new technology, new tools to deal with automated payments. They can deal with dispute solutions, risk management solutions, and they can collect money from different currencies and deal with foreign exchange volatility,” he said. 

AgentFi

Michael Wu, CEO of crypto firm Amber Group and a speaker on last week’s panel, is all-in on how AI can shake up the financial sector. Amber is now pursuing “AgentFi,” or finance driven by AI agents that can autonomously make their own decisions. (Disclosure: Fortune’s owner, Chatchaval Jiaravanon, is an investor in Amber Group)

Wu noted that AI agents currently don’t have the financial resources to carry out the actions they decide to take. “An agent cannot have the autonomy to say ‘hey, I want to spend this amount of money, or I want to invest in this versus that,” he said.

Michael Wu, CEO of Amber Group.

Fortune

Crypto, Wu argued, will give AI agents “financial freedom,” and give them the resources to put behind their decisions. “They could even hire humans back to do what they want,” he suggested. 

Amber launched its first “agent,” an AI dubbed “Mia,” to serve as the group’s “AgentFi Ambassador” in May. “My best analogy is [that Mia is] a very bright, young, super intern,” Wu said. “She can do some things amazingly. She still makes a lot of mistakes, and sometimes she behaves very dumb, to be upfront.”

Wu’s engineers gave Mia the ability to manage the liquidity of its own token. Yet, Wu noted the agent struggled to describe what financial actions it was taking on social media. “It happens to humans too, right? Sometimes we learn a new thing very quickly, and our left or right brain…doesn’t realize what the other half is doing.” 

“Hopefully, this time next year, a lot of these engineering problems will be spotted, identified and potentially solved by these agents themselves,” he added. 



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Stocks: ‘Big Short’ investor Michael Burry piles misery onto tech stocks

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The S&P 500 closed down 1.16% yesterday, marking four straight losing sessions for the index, which is now off 2.6%% from the all-time high it hit on Dec. 11. The decline was led, as usual, by technology stocks. Oracle was down 5.4% and its AI data center rival CoreWeave lost more than 7%.

Two things pummeled the tech sector:

First, “Big Short” investor Michael Burry published a chart from Wells Fargo on X showing that stocks now composed a greater portion of U.S. household wealth than real estate. That has happened only twice before in history, once in the 1960s and then again immediately before the dot com crash of 2000. “The last two times the ensuing bear market lasted years,” Burry said.

“Reasons for this are many but certainly include the gamification of stock trading, the nation’s gambling problem due to its own gamification, and a new ‘AI’ paradigm backed by trillions [of dollars] of ongoing planned capital investment backed by our richest companies and the political establishment. What could go wrong?” Burry argued.

Of course, Burry has a conflict of interest in the form of a $1.1 billion short bet against AI stocks Palantir and Nvidia. So take his doom-mongering with a pinch of salt.

Second, Oracle failed to close a deal for $10 billion in debt-based funding from Blue Owl Capital for a new AI data center in Michigan, according to the Financial Times. The company admitted it would not partner with Blue Owl but told the FT it was pressing ahead with the plan on schedule.

Wall Street is increasingly unimpressed with Oracle’s debt. “With over $100 billion in outstanding debt, investors continue to grow more concerned about the company’s borrowing to fund its AI ambitions,” Bespoke Investment Group told clients in an email this morning. 

Jim Reid and his colleagues at Deutsche Bank noted that the spread on Oracle’s credit default swaps—the yield premium that investors demand for the risk of buying them—which was already notably wider than comparable companies, got even wider.

“That FT report … heightened concerns around a potential AI bubble, and meant that Oracle’s five-year credit default swaps climbed to 156 basis points, their highest since the GFC [Great Financial Crisis],” they said. “So tech stocks led yesterday’s declines, with the [Magnificent Seven tech stocks] (-2.12%) having its worst day in over a month, led by a -3.81% slump for Nvidia.”

The net new supply of AI-related debt from all tech companies doubled this year to $200 billion, according to research by Goldman Sachs, and now accounts for 30% of all corporate debt issuance.

KKR published its 2026 “outlook” yesterday and it was notably sceptical about AI data center construction. In a section titled “Speculative Data Center Projects with Uncompetitive Cost Structures,” the private equity company wrote: “We see some excess exuberance in data centers … estimates point to almost $7 trillion in global data center infrastructure capital expenditures by 2030, an amount roughly equal to the combined GDP of Japan and Germany. As always, unit economics are key. Developers who focus on return on invested capital after power, capital and maintenance capex costs will do well, while those who focus on theoretical total addressable markets and lose sight of unit economics are likely to suffer.”

Economist Ed Yardeni told clients that “The Mag-7 may be undergoing a correction.”

“In recent weeks, investors have started to fret that the spending is depleting the Mag-7s’ cash flows and slowing profits growth. Before AI, the Mag-7 had lots of cash flow because their spending on labor and capital was relatively low. That changed once AI forced them to spend much more on both,” he said.

“We aren’t ruling out a Santa Claus rally over the remainder of the year. However, that is unlikely to happen if the S&P 500 continues to rotate away from the Magnificent-7 toward the Impressive-493, as we expect.”

The “the Impressive-493” is a reference to all the other stocks in the S&P 500 outside the Magnificent Seven which have done pretty well this year.

Here’s a snapshot of the markets ahead of the opening bell in New York this morning:

  • S&P 500 futures were up 0.39%  this morning. The last session closed down 1.16%. 
  • STOXX Europe 600 was up 0.21% in early trading. 
  • The U.K.’s FTSE 100 was up 0.29% in early trading. 
  • Japan’s Nikkei 225 was down 1.03%. 
  • China’s CSI 300 was down 0.59%. 
  • The South Korea KOSPI was down 1.53%. 
  • India’s NIFTY 50 was flat. 
  • Bitcoin was at $87K.
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Federal investigation underway after Nevada’s safety regulator dropped violations against Boring Co.

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Hello, Term Sheeters. It’s Jessica Mathews, filling in for Allie this morning and giving you a little update on the latest happenings in Las Vegas.

A few weeks ago, I filled you in on our latest reporting on Elon Musk’s $5.6 billion tunneling startup, the Boring Company. You may recall that Nevada’s state safety regulator had issued three “willful” citations against Boring Company, after a training drill during which two firefighters suffered burns at a Boring site. The citations prompted Boring Co. President Steve Davis to call up a former Tesla policy guy who now works in Nevada Governor Joe Lombardo’s office. Within 24 hours of that phone call, Boring executives had set up a meeting with senior regulators in the state, and the citations had been withdrawn. 

The withdrawal of the citations (which Nevada OSHA maintains was due to the violations not meeting legal requirements) was never documented in OSHA’s case file, and a public record that had referenced the meeting was altered. (State officials and regulators say that no supervisor ever gave direction to delete the record of the meeting.) 

A few weeks after all that transpired, Boring Company was caught illegally dumping wastewater into manholes around Las Vegas. One Boring manager was specifically called out in documents, as he apparently “feigned compliance” with county inspectors, only to start dumping the waste again as soon as he thought inspectors had left the site.

Both of these stories have caused somewhat of an uproar in Las Vegas. Residents have been asking their representatives about it at town halls and meetings. And Nevada Congresswoman Dina Titus sent a demand letter to Governor Lombardo, urging him to hold Elon Musk’s tunneling company accountable, make the company’s meetings with Nevada OSHA public, and answer a series of questions about how the investigation was handled. 

Now, as I reported this week, federal OSHA has opened an investigation into Nevada’s state OSHA plan. Federal OSHA received what’s called a “CASPA” complaint, a Complaint About State Plan Administration, after our story, and the agency decided it warranted a federal review. 

These investigations are a big deal and are meant to evaluate whether a state plan is at least as effective as federal OSHA—a requirement under U.S. law. The last time Nevada OSHA received this level of federal (and public) scrutiny was in 2008, when the Las Vegas Sun reported on the high death rate among construction workers at the Las Vegas Strip amid lax enforcement of regulations at Nevada OSHA. Federal regulators launched a “special study” into Nevada OSHA the following year, which found “a number of serious concerns” in the program and led to corrections in oversight and changes to its program.

We’ll be closely tracking the findings of this investigation once federal OSHA finishes its review.

Until then, thanks for following along. 

Jessica Mathews
X:
@jessicakmathews
Email: jessica.mathews@fortune.com

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VENTURE DEALS

Radiant, an El Segundo, Calif.-based developer of a portable nuclear microreactor designed to replace diesel generators, raised $300 million in Series D funding. Draper Associates and Boost VC led the round and were joined by others.

Ben, a London, U.K.-based employee benefits platform, raised $27.5 million in funding. Mercia Ventures led the round and was joined by existing investors Atomico, Cherry Ventures, DN Capital, and others.

Ankar, a London, U.K.-based AI-powered operating system for patents, raised $20 million in Series A funding. Atomico led the round and was joined by Index Ventures, Norrsken and Daphni.

HEN Technologies, a Hayward, Calif.-based developer of intelligent fire defense technology, raised $20 million in Series A funding. O’Neil Strategic Capital led the round and was joined by NSFO, Tanas Capital, and Z21 Ventures.

Arcads.ai, a San Francisco-based AI-powered platform designed for generating marketing videos, raised $16 million in seed funding. Eurazeo led the round and was joined by Alpha Intelligence Capital and others.

Clarity Pediatrics, a San Francisco-based telehealth platform for pediatric chronic care, raised $14.5 million in Series A funding. Jackson Square Ventures led the round and was joined by City Light Capital, MassMutual Catalyst Fund II, GingerBread Capital, and others.

Wearlinq, a San Francisco-based developer of a wireless cardiac monitor, raised $14 million in Series A funding. AIX Ventures led the round and was joined by SpringTide, Berkeley Catalyst Fund, Lightscape Partners, Amino Capital, and others.

Roamless, a San Francisco-based global mobile network operator, raised $12 million in Series A funding from Shorooq, Revo Capital, Finberg, and JIMCO.

AIR, a New York City-based AI-powered credit intelligence platform, raised $6.1 million in seed funding. Work-Bench Ventures and Lerer Hippeau led the round.

PRIVATE EQUITY

GI Partners agreed to acquire Netwatch, a Lake Forest, Calif.-based provider of AI-powered security services. Financial terms were not disclosed. 

Initial Group, backed by TPG, acquired Silver Tribe Media, a Los Angeles, Calif. and New York City-based platform for building YouTube and podcast businesses. Financial terms were not disclosed.

ProSites, backed by Rockbridge Growth Equity, acquired GeniusVets, a San Diego, Calif.-based veterinary marketing and engagement company. Financial terms were not disclosed.

StayTerra, backed by Garnett Station Partners and Bessemer Venture Partners, acquired a majority stake in Cape & Coast Premier Properties, a Cape San Blas, Fla.-based luxury vacation rental management company. Financial terms were not disclosed.

TA Associates acquired a majority stake in PairSoft, a Miami, Fla.-based provider of procure-to-pay automation and payment solutions. Financial terms were not disclosed.

Wateralia, backed by Ambienta, acquired Aquatec, a Victoria, Australia-based water and wastewater management company. Financial terms were not disclosed.

EXITS

IFS agreed to acquire Softeon, a Reston, Va.-based warehouse management software company, from Warburg Pincus. Financial terms were not disclosed.

TJC acquired Lindsay Precast, a Gainesville, Fla.-based manufacturer of prefabricated concrete and steel products, from MiddleGround Capital. Financial terms were not disclosed.

IPOS

Andersen Group, a San Francisco-based tax and financial advisory firm, raised $176 million in an offering of 11 million shares priced at $16 on the New York Stock Exchange.

FUNDS + FUNDS OF FUNDS

Highland Rim Capital, a Nashville, Tenn.-based private equity firm, raised $208 million for its debut fund focused on manufacturing, distribution, and business service companies. 

PEOPLE

Autotech Ventures, a Menlo Park, Calif.-based venture capital firm, hired Mike Abbott as a venture partner. Formerly, he was with General Motors. The firm also promoted David Le to operating partner.

General Atlantic, a New York City-based private equity firm, promoted Cornelia Gomez, Hilary Lindemann, Ryan McGrath, Ben Newman, Sudeep Poddar, and Varun Talukdar.



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Intuit CEO says Gen Z is staving off recession by putting it on plastic: ‘Credit card balances are up 36-37%, but they still have jobs’

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A runaway affordability crisis is pushing Gen Z consumers to rack up their credit card balances to an all-time high.

As Intuit CEO, Sasan Goodarzi has a wealth of data at his disposal to piece together an outlook for America’s economy. The global financial technology company owns personal finance brands including TurboTax, QuickBooks, and Credit Karma. Goodarzi says while the job market is “still strong” Gen Z is still struggling with credit-card debt.

“Credit scores are lower than they’ve ever been, particularly with Gen Z,” Goodarzi told Editorial Director Andrew Nusca at Fortune Brainstorm AI last week. Credit balances across the board are also the highest they’ve been, Goodarzi added, but Gen Z are disproportionately hurting in this category, too.

“[Gen Z] credit card balances are up 36-37%,” Goodarzi added. But there’s one silver lining: “They still have jobs,” Goodarzi said. “And that’s what’s really keeping things together.”

When looking at median pay adjusted for inflation, Gen Z is faring better than previous generations at their age, according to a Pew Research Center report in 2024. But their purchasing power is lower than previous young generations as inflation continues to eat away at their paychecks. 

Despite inflation slowing since its pandemic spike, headline inflation ticked up to 3% in September, well above the Fed’s target rate of 2%, according to the Bureau of Labor Statistics.

A large portion of Gen Z resides in the lower half of the economy, with their median income totaling less than $50,000 in more than half of cities, according to a recent SmartAsset report. That’s lower than the median household income in 91% of cities SmartAsset surveyed last year.

In total, millennials and Gen Z, those born in 1981 or later, account for just 10.7% of America’s wealth, according to SmartAsset.

As inflation continues to drive up essential costs in grocery prices and energy bills, a K-shaped economy has emerged, with many Gen Zers stuck in the bottom half. Wealthier Americans who own financial and property assets have survived elevated inflation, while Americans with less financial means have been struck by sticker shock and rising energy prices. This has led to a downward trend in economic activity from low-income earners and an upward trend in assets owned by the wealthy, creating a “K” shape.

But it’s not just Gen Z experiencing the pinch.

“Everybody is being watchful about what they buy, what they don’t buy” and prices, Intuit’s Goodarzi said.

This story was originally featured on Fortune.com



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