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Ray Dalio calls for ‘redistribution policy’ when AI and humanoid robots start to benefit the top 1% to 10% more than everyone else

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Legendary investor Ray Dalio, founder of Bridgewater Associates, has issued a stark warning regarding the future impact of artificial intelligence (AI) and humanoid robots, predicting a dramatic increase in wealth inequality that will necessitate a new “redistribution policy”. Dalio articulated his concerns, suggesting that these advanced technologies are poised to benefit the top 1% to 10% of the population significantly more than everyone else, potentially leading to profound societal challenges.

Speaking on “The Diary Of A CEO” podcast, Dalio described a future where humanoid robots, smarter than humans, and advanced AI systems, powered by trillions of dollars in investment, could render many current professions obsolete. He questioned the need for lawyers, accountants, and medical professionals if highly intelligent robots with PhD-level knowledge become commonplace, stating, “we will not need a lot of those jobs.” This technological leap, while promising “great advances,” also carries the potential for “great conflicts.”

He predicted “a limited number of winners and a bunch of losers,” with the likely result being much greater polarity. With the top 1% to 10% “benefiting a lot,” he foresees that being a dividing force. He described the current business climate on AI and robotics as a “crazy boom,” but the question that’s really on his mind is: why would you need even a highly skilled professional if there’s a “humanoid robot that is smarter than all of us and has a PhD and everything.” Perhaps surprisingly, the founder of the biggest hedge fund in history suggested that redistribution will be sorely needed.

Five big forces

“There certainly needs to be a redistribution policy,” Dalio told host Steven Bartlett, without directly mentioning universal basic income. He clarified that this will have to more than “just a redistribution of money policy because uselessness and money may not be a great combination.” In other words, if you redistribute money but don’t think about how to put people to work, that could have negative effects in a world of autonomous agents. The ultimate takeaway, Dalio said, is “that has to be figured out, and the question is whether we’re too fragmented to figure that out.”

Dalio’s remarks echo those of computer science professor Roman Yampolskiy, who sees AI creating up to 80 hours of free time per week for most people. But AI is also showing clear signs of shrinking the jobs market for recent grads, with one study seeing a 13% drop in AI-exposed jobs since 2022. Major revisions from the Bureau of Labor Statistics show that AI has begun “automating away tech jobs,” an economist said in a statement to Fortune in early September.

Dalio said he views this technological acceleration as the fifth of five “big forces” that create an approximate 80-year cycle throughout history. He explained that human inventiveness, particularly with new technologies, has consistently raised living standards over time. However, when people don’t believe the system works for them, he said, internal conflicts and “wars between the left and the right” can erupt. Both the U.S. and UK are currently experiencing these kinds of wealth and values gaps, he said, leading to internal conflict and a questioning of democratic systems.

Drawing on his extensive study of history, which spans 500 years and covers the rise and fall of empires, Dalio sees a historical precedent for such transformative shifts. He likened the current era to previous evolutions, from the agricultural age, where people were treated “essentially like oxen,” to the industrial revolutions where machines replaced physical labor. He said he’s concerned about a similar thing with mental labor, as “our best thinking may be totally replaced.” Dalio highlighted that throughout history, “intelligence matters more than anything” as it attracts investment and drives power.

Pessimistic outlook

Despite the “crazy boom” in AI and robotics, Dalio’s outlook on the future of major powers like the UK and U.S. was not optimistic, citing high debt, internal conflict, and geopolitical factors, in addition to a lack of innovative culture and capital markets in some regions. While personally “excited” by the potential of these technologies, Dalio’s ultimate concern rests on “human nature”. He questions whether people can “rise above this” to prioritize the “collective good” and foster “win-win relationships,” or if greed and power hunger will prevail, exacerbating existing geopolitical tensions.

Not all market watchers see a crazy boom as such a good thing. Even OpenAI CEO Sam Alman himself has said it resembles a “bubble” in some respects. Goldman Sachs has calculated that a bubble popping could wipe out up to 20% of the S&P 500’s valuation. And some long-time critics of the current AI landscape, such as Gary Marcus, disagree with Dalio entirely, arguing that the bubble is due to pop because the AI technology currently on the market is too error-prone to be relied upon, and therefore can’t be scaled away. Stanford computer science professor Jure Leskovec told Fortune that AI is a powerful but imperfect tool and it’s boosting “human expertise” in his classroom, including the hand-written and hand-graded exams that he’s using to really test his students’ knowledge.

For this story, Fortune used generative AI to help with an initial draft. An editor verified the accuracy of the information before publishing. 

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5 VCs sounds off on the AI question du jour

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The views seem to range from bubble-wary to bubble-dismissive. We hashed it all out over eggs and sausages at Fortune’s IRL Term Sheet Breakfast at Brainstorm AI in San Francisco yesterday. This is Amanda Gerut, Fortune’s West Coast news editor, pinch-hitting for my colleague Allie Garfinkle.

Allie hosted five VCs with funds ranging in size from $5 million to $25 billion and views varied across the panel. This group alone is collectively going to deploy anywhere from tens to hundreds of millions over the next decade into companies with AI as a backdrop and these investments will either prove spectacularly right or wrong.

Here’s a roll call:

Jenny Xiao, partner at Leonsis Capital and former researcher at OpenAI, came in with a nuanced take. There’s something of a bubble, but it’s “relatively contained” in the infrastructure layer with overinvestment primarily in data centers, GPUs and in large language model companies. But right now, there’s actually underinvestment in the application layer because there are so many ways AI can make an impact in various enterprises, Xiao said. 

Vanessa Larco, former partner at New Enterprise Associates (NEA) and co-founder of new venture firm Premise, has a contrarian view. “Everyone thinks enterprise is safer,” Larco said. “But I actually think the consumer might, this time around in the current environment, be what survives.” Larco’s reasoning is that if a consumer adopts your AI product, it’s because you’re giving them something faster, “radically cheaper, or much easier to use.” Once you’ve done that and built a brand, it’s very hard for people to quit you. 

Rob Biederman, managing partner at Asymmetric Capital Partners and chairman of Catalant Technologies, had a sobering view. “In every boom, 99% or 99.9% of companies fail, and one or two of them become Amazon or Google,” said Biederman, who had to dash off to catch a flight. Only companies that can systematically create value for customers, which most of them aren’t doing right now, will survive. 

Aaron Jacobson, partner at NEA, said the history of technological innovation “is always overhyped in the near term and underhyped in the long term, and that will be true of AI.” So at some point there will be a correction and there will be cycles of pain around valuation and funding, “but ultimately, in 10 years, we’re going to have a lot of really big, impactful companies.”

Daniel Dart, founder and general partner of Rock Yard Ventures, had the boldest counter to fears about a bubble. He sees a total addressable market we can’t yet imagine. People think self-driving Waymos will replace Ubers, but Dart sees elementary schools and elderly care centers with Waymos waiting out front and that proves to him we’re still in the early innings. 

“You’re really going to tell me there aren’t going to be any trillion-dollar companies in 2030 or 2034? No one here is going to take that bet,” said Dart. “There is going to be so much value creation that it’s like the birth of fire.”

See you tomorrow,

Amanda Gerut
Email:
Amanda.gerut@fortune.com
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Venture Deals

Saviynt, an El Segundo, Calif.-based identity security platform, raised $700 million in series B funding. KKR led the round and was joined by SixthStreetGrowth, TenEleven and existing investor CarrickCapitalPartners.

fal, a San Francisco-based AI-generated media platform, raised $140 million in Series D funding. Sequoia led the round and was joined by KleinerPerkins, NVentures, and AlkeonCapital.

Radial, a New York City-based network designed to help patients access advanced mental health treatments, raised $50 million in Series A funding. GeneralCatalyst led the round and was joined by SolariCapital, SLHealthCapital, FounderCollective, BoxGroup, ScrubCapital, and DiedevanLamoen.

Relation, a London, U.K.-based developer of medicines for immunology, metabolic, and bone diseases, raised $26 million in funding from NVentures, DCVC, and MagneticVentures.

Aradigm, a New York City-based benefits platform for cell and gene therapies, raised $20 million in Series A funding. FristCresseyVentures led the round and was joined by AndreessenHorowitz and MorganHealth

PrimeSecurity, a Tel Aviv, Israel and New York City-based AI-powered platform designed to detect and mitigate risks during software design, raised $20 million in Series A funding. ScaleVenturePartners led the round and was joined by FoundationCapital, FlybridgeVentures, and others.

Algori, a Madrid, Spain-based AI-powered shopper insights platform for the fast-moving consumer goods industry, raised €3.6 million ($4.2 million) in funding from RedBullVentures, Co-invest Capital, AttaPoll, and others.

EmpromptuAI, a San Francisco-based platform designed to help transition SaaS products into AI-native systems, raised $2 million in pre-seed funding. PrecursorVentures led the round and was joined by AlumniVentures, FoundersEdge, RogueWomenVC, and others.

Private Equity

AppDirect, backed by CDPQ, acquired vComSolutions, a San Ramon, Calif.-based IT management platform, at an enterprise valuation of more than $100 million.

JensenHughes, backed by GryphonInvestors, acquired SafetyManagementServices, a West Jordan, Utah-based fire and life safety company. Financial terms were not disclosed.

NewStateCapitalPartners acquired a majority stake in Harrell-Fish, a Bloomington, Ind.-based mechanical installation and maintenance services provider. Financial terms were not disclosed.

PestCoHoldings, a portfolio company of ThompsonStreetCapital, acquired SouthwestExterminating, a Houston, Texas-based pest control provider. Financial terms were not disclosed.

ProsperityPartners, backed by UnityPartners, acquired a majority stake in Farkouh, Furman & Faccio, a New York City-based provider of tax, attest, accounting and business consulting services. Financial terms were not disclosed.

SEVA acquired a minority stake in Pronto, a Lehi, Utah-based team communications platform designed for front–line employers and higher education institutions. Financial terms were not disclosed.

Exits

ArclineInvestmentManagement acquired Altronic, a Girard, Ohio-based supplier of ignition, control, and instrumentation systems for critical infrastructure power systems, from HOERBIGERGroup. Financial terms were not disclosed.

BerkshirePartners agreed to acquire UnitedFlowTechnologies, an Irving, Texas-based process and equipment solutions company for water and wastewater systems, from H.I.G.Capital. Financial terms were not disclosed.

BessemerInvestors acquired Xanitos, a Newtown Square, Penn.-based provider of environmental services, patient transport, patient observation, and linen services, from AngelesEquityPartners. Financial terms were not disclosed.

ShareRockPartners acquired a majority stake in AMAGTechnology, a Hawthorne, Calif.-based physical security solutions provider, from AlliedUniversal.



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Coupang CEO resigns over historic South Korean data breach

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Coupang chief executive officer Park Dae-jun resigned over his failure to prevent South Korea’s largest-ever data breach, which set off a regulatory and political backlash against the country’s dominant online retailer.

The company said in a statement on Wednesday that Park had stepped down over his role in the breach. It appointed Harold Rogers, chief administrative officer for the retailer’s U.S.-based parent company Coupang Inc., as interim head.

Park becomes the highest-profile casualty of a crisis that’s prompted a government investigation and disrupted the lives of millions across Korea. Nearly two-thirds of people in the country were affected by the breach, which granted unauthorized access to their shipping addresses and phone numbers.

Police raided Coupang’s headquarters this week in search of evidence that could help them determine how the breach took place as well as the identity of the hacker, Yonhap News reported, citing officials.

Officials have said the breach was carried out over five months in which the company’s cybersecurity systems were bypassed. Last week President Lee Jae Myung said it was “truly astonishing” that Coupang had failed to detect unauthorized access of its systems for such a long time.

Park squared off with lawmakers this month during an hours-long grilling. Responding to questions about media reports that claimed the attack had been carried out by a former employee who had since returned to China, he said a Chinese national who left the company and had been a “developer working on the authentication system” was involved.

The company faces a potential fine of up to 1 trillion won ($681 million) over the incident, lawmakers said.

Coupang founder Bom Kim has been summoned to appear before a parliamentary hearing on Dec. 17, with lawmakers warning of consequences if the billionaire fails to show.

Park’s departure adds fresh uncertainty to Coupang’s leadership less than seven months after the company revamped its internal structure to make him sole CEO of its Korean operations. In his new role, Rogers will focus on addressing customer concerns and stabilizing the company, Coupang said.

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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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