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VC founder: AI isn't a bubble — but its founders need to start thinking globally

Whether or not markets are getting ahead of themselves over artificial intelligence is a hot topic for investors right now.

Last week, billionaire investor Ray Dalio said his personal “bubble indicator” was relatively high, while Federal Reserve Chair Jerome Powell described the AI boom as “different” from the dotcom bubble.

For Magnus Grimeland, founder of Singapore-based venture capital firm Antler, it’s clear the market is not overheating. “I definitely don’t think we’re in a bubble,” he told CNBC’s “Beyond the Valley” podcast, listing several reasons.

The speed at which AI is being adopted by businesses is notable compared to other tech shifts, Grimeland said, such as the move from physical servers to cloud computing, which he said took a decade. Added to this, AI is “top of the agenda” for leaders today, he said, whether they’re running a healthcare provider in India or a U.S. Fortune 500 company.

“There’s a willingness to invest into using that technology … and that’s happened immediately,” Grimeland said.

He described the rapid shift to AI as being substantially different from the dotcom bubble of the late 1990s and early 2000s, when unprofitable internet startups eventually collapsed and the tech-heavy Nasdaq lost almost 80% of its value between March 2000 and October 2002.

“What makes this a little bit different from a bubble and makes it very different from dotcom is that there’s really real revenues behind a lot of this growth,” Grimeland said.

OpenAI, the company behind ChatGPT, said it reached $10 billion in annual recurring revenue in June. Annual recurring revenue (ARR) is the amount of money a company expects to make from customers over 12 months.

Antler is an investor in Lovable, a company that enables people to build apps and websites using AI. In July, Lovable said it had passed $100 million ARR in eight months.

Another reason that the rapid adoption of AI is different from the dotcom boom is the speed at which consumers are taking to the technology, Grimeland said. “Think about how quickly our behavior online has changed, right? … 100% of my searches a year ago [were on] Google. Now it’s probably 20%,” he said.

Earlier this month, OpenAI launched its ChatGPT Atlas browser for Mac OS, with shares of Google’s parent company Alphabet falling on the news.

Smaller AI players

While Grimeland said there was a “tremendous” amount of money going to AI-related companies at the “wrong” valuation, these trends happen at the beginning of an investment cycle, he said. “But in the end … The opportunity in this space is so much bigger than the investments being put there,” Grimeland added.

Asked whether there are opportunities for AI startups when large U.S. and Chinese companies currently dominate the sector, Grimeland said the big firms were “being challenged in the way they haven’t for a very long time.” He gave the example of DeepSeek, the Chinese startup that has produced AI models comparable to those from OpenAI.

Tencent is building great AI, Baidu is building great AI, but that’s not where DeepSeek came from, right?” Grimeland said. “The AI winners of this current platform shift [are] not necessarily those big incumbents.”

As such, there are significant opportunities for smaller AI companies to become big businesses, Grimeland said, flagging firms that have “positive signals,” such as a good founding team, growth in the lifetime value of a customer and a reduction in the cost of delivering a product.

– CNBC’s Dylan Butts, Ashley Capoot, Alex Harring and Jaures Yip contributed to this report.

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CEO of Southeast Asia’s largest bank says AI adoption already paying off: ‘It’s not hope, it’s now’

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CEO of Southeast Asia's largest bank says AI adoption already paying off: ‘It’s not hope, it’s now’

Tan Su Shan, chief executive officer of DBS Group Holdings Ltd., speaking at the Singapore Fintech Festival in Singapore, on Nov. 12, 2025.

Bloomberg | Bloomberg | Getty Images

SINGAPORE – Amid fears of an artificial intelligence bubble, much has been made of recent reports suggesting that AI has yet to generate returns for companies investing billions into adopting the tech. 

But that’s not what the chief executive of Southeast Asia’s largest bank is seeing — she says her firm is already reaping the rewards of its AI initiatives, and it’s only just the beginning. 

“It’s not hope. It’s now. It’s already happening. And it will get even better,” DBS CEO Tan Su Shan told CNBC  on the sidelines of Singapore Fintech Week, when asked about the promise of AI adoption.  

DBS has been working to implement artificial intelligence across its bank for over a decade, which helped prepare its internal data analytics for recent waves of generative and agentic AI. 

Agentic AI is a type of artificial intelligence that relies on data to proactively make independent decisions, plan and execute tasks autonomously, with minimal human oversight.

Tan expects AI adoption to bring DBS an overall revenue bump of more than 1 billion Singapore dollars (about $768 million) this year, compared to SG$750 million in 2024. That assessment is based on about 370 AI use cases powered by over 1,500 models throughout its business. 

“The proliferation of generative AI has been transformative for us,” Tan said, adding that the company was experiencing a “snowballing effect” of benefits thanks to machine learning. 

A major area in which DBS has applied AI is in its financial services to institutional clients, with AI used to collect and leverage data for clients in order to better contextualize and personalize offerings. 

According to Tan, this has resulted in “faster and more resilient” teams. The CEO believes that these uses of AI have contributed to a recent uptick in the bank’s deposit growth as compared to competitors’.

The company also recently launched a newly enhanced AI-powered assistant for corporate clients known as “DBS Joy,” which assists clients with unique corporate banking queries around the clock. 

ROI concerns 

Despite Tan’s strong convictions about AI, recent evidence suggests that many companies are struggling to turn their AI investments into tangible profits. 

MIT released a report in July that found 95% of 300 publicly disclosed AI initiatives, encompassing generative AI investments of $30–$40 billion, had failed to achieve real returns. 

However, at least in the banking sector, there are signs that the tides are turning. 

While DBS doesn’t differentiate spending in generative AI from other in-house investments, other major banks have recently offered this comparison. 

JPMorgan Chase CEO Jamie Dimon stated in an interview with Bloomberg TV last month that the bank is already breaking even on its approximately $2 billion of annual investments in AI adoption. That represents “just the tip of the iceberg,” he added.

Those expectations are shared by DBS, which plans to continue to accelerate its AI development to become an AI-powered bank.

The ultimate goal, according to Tan, is for its generative AI to develop into a trusted financial advisor for clients, including retail users who are expected to interact with personalized AI agents through the DBS banking app. 

The bank already has over 100 AI algorithms that analyze users’ data to provide them with personalized “nudges,” such as alerts on incoming shortfalls, product recommendations, and other insights. 

Continued AI investments 

While DBS may already be reaping rewards from its AI adoption, Tan acknowledged that it will require continued investments, not only in capital, but in the time needed to reskill employees. 

The company has launched several AI reskilling initiatives across departments this year and has even deployed a generative AI-powered coaching tool to support these efforts. 

This will help the company automate mundane work and refocus its staff on building and maintaining human-to-human relationships with customers, rather than reducing headcount, Tan said. 

“We’re not freezing hiring, but it does mean reskilling. And that’s a journey. It’s a never-ending journey … a constant evolution.”

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CNBC Daily Open: Flying blind in markets and the economy

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CNBC Daily Open: Flying blind in markets and the economy

Traders work on the floor of the New York Stock Exchange (NYSE) on Nov. 13, 2025 in New York City.

Spencer Platt | Getty Images

U.S. markets had their worst day since Oct. 10. That marks a sharp reversal for the Dow Jones Industrial Average, which shed 1.65% to settle at 47,457.22, a day after it closed above 48,000 for the first time. Meanwhile, the S&P 500 lost 1.66% and the Nasdaq Composite tumbled 2.29%.

The slump in stocks can partly be traced to a turnaround in sentiment regarding artificial intelligence. Tech behemoths such as Nvidia, Broadcom and Oracle slumped, with the last losing more than one-third in value since it rocketed 36% in September.

Investors, it seems, are growing worried over the high valuations of tech names, as well as the gigantic amount of capital expenditure they are committing to — with some, like Oracle, having to take on debt to fulfil those obligations.

Uncertainty over an interest rate cut in December is also putting a downer on Wall Street. It’s a coin toss as to whether the U.S. Federal Reserve will ease monetary policy then, according to the CME FedWatch tool. That’s a huge difference from a month ago, when traders were pricing in a 95.5% chance of a December cut.

Not having October’s employment and inflation numbers, and possibly never getting them, means the Fed lacks visibility into the state of the economy — and whether it should try to support the labor market or continue reining in inflation.

After all, flying blind makes it hard to see where you’ll land. As of now, that applies both to the Fed and investors trying to navigate the still-hazy ambitions of tech companies.

What you need to know today

And finally…

Oracle CEO Clay Magouyrk speaks at a Q&A following a tour of the OpenAI data center in Abilene, Texas, U.S., Sept. 23, 2025.

Shelby Tauber | Reuters

Wall Street cools on Oracle’s buildout plans as debt concerns mount: ‘AI sentiment is waning’

Two months ago, Oracle’s stock soared 36% to a record after the company blew away investors with its forecast for cloud infrastructure revenue. Since then, the company has lost one-third of its value, more than wiping out those gains.

The mood of late has turned, with investors questioning whether the AI market ran too far, too fast and whether OpenAI can live up to its $300 billion commitment to Oracle over five years. Of the big cloud companies in the GPU business, Oracle is expected to generate the least amount of free cash flow, said Jackson Ader, an analyst at KeyBanc Capital Markets.

— Seema Mody

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StubHub stock tanks 20% as CEO says it is not giving guidance for current quarter

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StubHub stock tanks 20% as CEO says it is not giving guidance for current quarter

Ticket reseller StubHub signage on display at the New York Stock Exchange for the company’s IPO on Sept. 17, 2025.

NYSE

StubHub shares plunged 20% in extended trading on Thursday after the company reported quarterly results for the first time since its initial public offering in September.

Here’s how the ticket vendor did in comparison with LSEG consensus:

  • Loss per share: $4.27
  • Revenue: $468.1 million vs. $452 million expected

During a conference call with investors, StubHub CEO and founder Eric Baker said the company wouldn’t provide guidance for the current quarter.

Baker said that the company takes “a long term approach,” adding that the timing of when tickets go on sale can vary, making it hard to predict consumer demand. StubHub plans to offer outlook for 2026 when it reports fourth-quarter results, he said.

“The demand for live events is phenomenal,” Baker said. “We don’t see anything with consumer demand that’s any different.”

Revenue increased 8% in its second quarter from $433.8 million a year earlier, the company said.

StubHub reported a net loss of $1.33 billion, or a loss of $4.27 per share, compared to a net loss of $45.9 million, or a loss of 15 cents per share, during the same period last year. StubHub said this reflects a one-time stock-based compensation charge of $1.4 billion stemming from its IPO.

Gross merchandise sales, which represent the total dollar value paid by ticket buyers, rose 11% year over year to $2.43 billion.

The company faced tough comparisons from a year earlier, when results were boosted by Taylor Swift’s massively popular Eras Tour. Excluding that impact, StubHub said GMS grew 24% year over year.

Founded in 2000, StubHub primarily generates revenue from connecting buyers with ticket resellers. It competes with Vivid Seats, which was taken public via a special purpose acquisition company in 2021; SeatGeek; and Ticketmaster parent Live Nation Entertainment.

“We are building a truly differentiated consumer product that improves the experience for fans while unlocking better economics for venues, teams, and artists through open distribution,” Baker said in a statement. “We’re early in that journey, but our progress so far gives us great confidence in our strategy and the long-term value we’re creating.”

StubHub raised $800 million in its long-awaited IPO on the New York Stock Exchange, which came after it delayed its debut twice. The most recent stall came in April after President Donald Trump‘s announcement of sweeping tariffs roiled markets. The company restarted the process to go public in August when it filed an updated prospectus.

On Thursday, the company’s stock closed at $18.82. Shares are now down roughly 20% from the IPO price of $23.50.

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