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AI bubble talk grips the market. But in the C-suite there’s more FOMO over AI’s benefits than fear of an AI bustup

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Hello and welcome to Eye on AI. In this edition…Nvidia becomes the first $5 trillion market cap company…Anthropic finds AI models have ‘introspection,’ of a kind…and Meta, Alphabet, and Microsoft tell investors just how much they’ve been spending on AI data centers. 

Hello, it’s Jeremy here. I’m just back from Fortune Global Forum in Riyadh, where AI was very much a central feature in many of the discussions. I will provide a few insights from what I learned there.

Of course, there was a lot of discussion at the event about whether there’s an “AI bubble”—and that was before we got the latest earnings and cap ex numbers from Meta, Microsoft, and Alphabet. Wall Street’s disparate reactions to the companies’ quarterly report cards show the market’s growing impatience to see tangible results from hefty AI investments. They will only support companies who can show they are seeing notable revenue impact today.

Why the market reacted so differently to Meta’s, Microsoft’s and Alphabet’s capex numbers

Consider Alphabet, which saw its shares climb after its earnings report. With its quarterly search revenues growing 14.5% year-over-year, and cloud revenues up 32%, Alphabet continues to defy concerns that AI poses an existential innovator’s dilemma to its core advertising-based business model. By contrast, Meta said capital expenses on AI data centers next year would be even larger than the already whopping $70 billion to $72 billion it’s spending this year as CEO Mark Zuckerberg races to build “super-intelligence,” an incredibly ambitious effort with limited immediate revenue impact. Investors weren’t having it, and Meta’s shares got hammered, dropping 9% in pre-market trading.

Investor reaction to Microsoft’s earnings fell somewhere between these two extremes. Like Alphabet, it reported revenue numbers that exceeded consensus analyst forecasts, but not by much, and it also said capital expenditures would climb more than analysts had anticipated. So it saw its shares slide about in line with investors’ disappointment in the size of the gap between revenue acceleration and capital expense growth, even though Microsoft’s cloud computing sales were up an impressive 40% from last year, a figure it largely attributed to AI spending.

What was striking at Fortune Global Forum, however, was how little global executives seemed to care about these financial market dynamics. If there was any consensus from the discussions in Riyadh, it was that the current moment is a lot like the early days of the internet or the roll out of cloud computing in the mid-2000s and early-2010s. In other words, a real technological transformation is underway. Yes, it might involve some companies becoming overvalued—as did happen with the internet boom. But almost all agreed that AI is going to have a transformative and lasting impact on their companies, and on the world economy, even if there is a market correction.

Executives are finding value in AI

At an IBM-sponsored dinner at FGF that Fortune-hosted, Ana Paula Assis, IBM’s senior vice president and chair for EMEA and growth markets, said that, in her experience, it wasn’t the fear of an AI bubble—the concern that AI might just a flash in the pan that doesn’t live up to the hype—that held companies back from investing in the technology. Instead, it was the speed of AI innovation that was actually the problem. Some companies, she said, seemed worried they would build systems around one set of models and capabilities, only to have those eclipsed in just a few months or a year, requiring them to change those workflows and swap models again. She described some potential customers as “like deer in the headlights” dazzled and frozen in place by the pace of change.

On stage at the conference, Ruth Porat, the president and chief investment officer at Alphabet, echoed Assis’s view to some degree. She noted that there was a big disparity between the speed of AI advances and the speed at which companies were adopting the technology. She said this disparity was largely the result of how difficult it is for large enterprises to change internal processes in general. And to get the most out of AI requires companies to rethink every process, she said, so it is perhaps not surprising that this is happening much more slowly than the rate at which AI companies, including Google, are rolling out new AI models and capabilities.

IBM put out some survey results this week for EMEA enterprises that show companies are indeed moving ahead with deploying AI at scale. Its survey of 3,500 senior executives in 10 countries found that two-thirds reported “significant productivity gains” from deploying AI. In some sectors, such as finance, the figure was 72%. Adoption in Saudi Arabia was even higher still—84%. What’s more, across EMEA, 92% of those surveyed were confident that AI agents would deliver ROI within the next two years. (Which may prove the point about the tech capabilities running far ahead of adoption. You might remember how many top tech execs declared 2025 to be “the year of AI agents.” I guess the real year of AI agents might be 2027!)

Ok, with that, here’s more AI news.

Jeremy Kahn
jeremy.kahn@fortune.com
@jeremyakahn

FORTUNE ON AI

Character.AI bans teens from talking to its chatbots amid mounting lawsuits and regulatory pressure—by Beatrice Nolan

Everyone thinks AI is replacing factory workers, but Amazon’s layoffs show it’s coming for middle management first—by Eva Roytburg

Martin Sorrell says AI has already ‘missed the Oppenheimer moment’—by Allie Garfinkle

Longevity science is on the cusp of major breakthroughs thanks to AI, but significant ‘data gaps’ need to be filled, expert says—Alexei Oreskovic

AI IN THE NEWS

Nvidia becomes world’s first $5 trillion company as it reveals $500 million order backlog. The AI chip company became the first business ever to reach a $5 trillion market capitalization, after its shares rose earlier in the week following several announcements by its CEO and founder, Jensen Huang, at a developer conference in Washington, D.C. Huang revealed that the company has a $500 billion order backlog for its latest Blackwell GPUs and its upcoming Rubin GPUs. The company has also recently announced deeper partnerships and investments with OpenAI, Oracle, and Eli Lilly. Nvidia has seen its market cap add $3 trillion in value since early 2024. Read more from The Wall Street Journal here.

Fed Chair Powell says AI boom not comparable to dot com bubble. U.S. Federal Reserve Chair Jerome Powell said the current artificial intelligence boom differs from the dot-com bubble because today’s leading companies—and here he seems to have been referring to the likes of Nvidia, Alphabet, Microsoft, and Meta, as opposed to the AI model makers such as OpenAI and Anthropic—actually generate profits. He also noted that the AI boom is driving tangible economic growth through investments in data centers and chips. (Although it should be said that the dot com bubble also fueled capital investment in fiber optics and networking equipment.) He contrasted this with the 1990s internet frenzy, when many high-valued firms collapsed after failing to turn a profit. You can read more from CNBC here.

Anthropic says cutting-edge AI models may have a kind of introspection. The AI company said its Claude Opus 4 and 4.1 models exhibit early signs of introspection—the ability to detect and describe aspects of their own internal states rather than just generate plausible text. In experiments, Anthropic researchers “injected” specific neural activation patterns that they knew were associated with particular concepts into the model at times when it was not considering topics related to those concepts. It then asked the model whether it noticed anything different about its thinking in these instances. The models were able to correctly identify some of these “thoughts” as not their own some of the time, indicating a limited form of self-monitoring, according to the Anthropic researchers. This introspective behavior, however, was highly inconsistent—occurring only about 20% of the time—and its underlying mechanisms remain unclear. Anthropic cautions that while intriguing, these findings do not imply human-like self-awareness but could help advance future work on model transparency and interpretability. You can read more in Anthropic’s blog post on the research here.

Study finds top AI models can’t construct predictive “world models.” A group of researchers from the non-profit AI lab the Basis Research Institute and affiliated with MIT, Harvard University, the University of Montreal, the University of Cambridge and Cornell University, built a new benchmark to test how leading LLMs perform at tasks that require understanding a virtual world, including discovering links between cause and effect and the “rules” by which the world operates. Their new “AutumnBench” involves a suite of 43 grid-world environments with 129 tasks, including predicting which objects are behind an obstruction, planning, and detecting what’s changed in a scene and the likely cause. They looked at how three state-of-the-art reasoning models— Anthropic’s Claude 4 Sonnet, Google’s Gemini 2.5 Pro, and OpenAI’s o3—compared against 517 human participants. They allowed the test subjects to spend some time exploring each virtual world and deploying strategies to figure out the rules of the world before testing them on the tasks. The results show that humans significantly outperform the AI models across all task types and environments. What’s more, they found that the models fail to adopt human-like strategies for determining the rules of the virtual worlds and how to perform the tasks, such as hypothesis-testing and updating their beliefs to account for new evidence. You can read the research paper here.

AI CALENDAR

Nov. 10-13: Web Summit, Lisbon. 

Nov. 26-27: World AI Congress, London.

Dec. 2-7: NeurIPS, San Diego.

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

EYE ON AI NUMBERS

$78.2 billion

That’s the amount that just Meta, Microsoft, and Alphabet collectively spent building new AI data centers and buying AI hardware in the three months between the end of June and the end of September. And all three companies signaled they plan to continue to ramp up that spending further over the next quarter and throughout 2026. You can read more here from the Financial Times. 



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Investors are trying to remain level-headed as tensions between the U.S. and Europe escalate, with many drawing on experience from Liberation Day as a tool for how to navigate current geopolitical volatility.

Analysts are, understandably, uneasy. Their concern stems from President Trump’s claim that a bevy of European nations would face new tariffs within a matter of weeks if they did not support America’s bid to purchase Greenland, currently a territory of NATO member country Denmark, which is not putting the island up for sale.

At the time of writing, the VIX volatility index is up 27% over the past five days, its highest since April last year when the Oval Office announced sweeping tariffs on every nation on the planet. While markets in the U.S. are yet to have the opportunity to react to the news after being closed for the Martin Luther King holiday, assets in Europe are looking pale.

Germany’s DAX is down 1.57% at the time of writing, London’s FTSE is down 1.4% and France’s CAC 40 is down 1.2%. Asia is similarly queasy, Tokyo’s Nikkei 225 is down 1.11% while Hong Kong’s Hang Seng Index is down 0.29%. A preview for U.S. trading comes in the form of futures, with the S&P 500 trending down 1.75% at the time of writing.

Meanwhile, gold prices—a barometer for investors fleeing to safety—are climbing higher still, up 1.17% overnight.

However, the damage could have been worse: investors don’t even need to cast their minds back a year for inspiration. Markets plummeted following Trump’s Rose Garden address on April 2, his so-called Liberation Day, despite the fact many of his threatened tariffs were delayed within a matter of days. And so the ‘TACO’ trade was born: Trump Always Chickens Out.

Jim Reid of Deutsche Bank noted to clients this morning that there’s “room for bigger moves” in markets, and highlighted that Trump’s duties imposition on key trading partners is already on shaky ground. This is on account of an imminent Supreme Court ruling on whether the White House’s initial round of tariffs were carried out legally. This “might end up further constraining Trump’s room for maneuver on tariffs. However, no one knows when this will come through (apart from maybe the judges).”

“The market has been burnt before by overreacting to tariff threats,” Reid continued. “Obviously, there was Liberation Day but more recently Trump’s escalation with China in October prompted a -2.71% decline for the S&P 500 on that day, before he then met with Xi and the trade truce was extended by a year.”

Over at UBS, chief economist Paul Donovan described a rational market: “Investors and the U.S. administration are likely to keep focus on the U.S. bond market, which weakened modestly in the wake of Trump’s latest tariff threats. The implications of additional tariffs are more U.S. inflation pressures and a further erosion of the USD’s status as a reserve currency. So far, bond investors do not seem to be taking the threats too seriously.”

Markets also “dismissed” another barb from Trump aimed at French President Macron, over duties levied on champagne and Bordeaux if the European leader refuses to cough up $1 billion to join the Board of Peace for Gaza.

Unconvinced traders

Further evidence of TACO traders comes from Polymarket. At the time of writing, only 17% of betters believe all the tariffs Trump has threatened against Europe will go into effect on February 1. A further minority of 40% believe any tariffs will go into effect in a fortnight’s time.

Odds are also declining on a country-to-country basis. For example, Denmark leads Polymarket’s polls as the most likely country to face levies from the U.S., but that still sits as the outlying outcome at 40% and decreasing. Meanwhile France’s odds of tariffs are at 38%, and Norway is at 37%.

Potentially buoying the idea that the president will make another U-turn is political polling, especially with midterm elections approaching in November. Trump’s approval ratings have been declining across a number of outlets, with nine in 10 Americans telling a Quinnipiac survey they were against taking Greenland using military force. A further Reuters/Ipsos poll found just 17% of voters support Trump’s efforts to acquire Greenland.

However, if investors—or foreign governments—rely too heavily on the notion that Trump will chicken out, they could shoot themselves in the foot. After all, if the White House sees markets behaving in a fairly stable manner, then this could give him the confidence to push ahead with the very plans that investors were betting against. As Deutsche Bank’s Henry Allen framed Trump’s August 1 tariff deadline last year: “The paradox is that as markets discount the tariffs and perform strongly, that’s actually making the higher tariffs more likely as the administration grows in confidence.”



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Why Jollibee is turning to a U.S. IPO to fuel global growth

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Good morning. Chickenjoy—its crispy, juicy fried chicken—and Jolly Spaghetti are signature menu items at Jollibee, a Filipino fast-food chain that is building a growing fan base in the U.S. Now, the company is setting its sights on Wall Street. 

The Philippines-based Jollibee Foods Corporation (JFC), the restaurant’s parent company, disclosed earlier this month that it plans to spin off its international operations and pursue a U.S. initial public offering for that business. The contemplated spin-off and listing are targeted for late 2027, leaving “quite a bit of time ahead of us for the work to be done,” Jollibee Global CFO Richard Shin said during a Jan. 14 media roundtable.

JFC, which includes restaurant brands such as Smashburger and The Coffee Bean & Tea Leaf, is currently traded as a single group on the Philippine Stock Exchange and operates in 33 countries. Over the past 15 quarters, JFC’s international network has posted a 26.7% compound annual growth rate, outpacing the group’s overall 15.1% rate of expansion. The separation reflects increasingly distinct strategic profiles for the domestic and international businesses, Shin said.

In March 2025, Jollibee launched its first U.S. franchising program. After opening its first North American location in 1998 in Daly City, California, the brand has since expanded to more than 100 locations across the U.S. and Canada as of early 2026.

Why go the route of a U.S. IPO? “I think there’s a fact that we can all agree on: the U.S. capital markets have deep investor-based experience in valuing global consumer and restaurant growth companies,” Shin said on the call.

Many such companies are still growing into their potential yet are often rewarded with higher multiples and valuations, he said. While that outcome is not guaranteed for JFC, a U.S. listing offers greater capital depth, liquidity, and broader analyst coverage, with any final decision subject to valuation and required approvals, he added.

The IPO market in the U.S. is heating up again, Fortune’s Jeff John Roberts writes in a new feature article. “While 2026 will almost certainly not match the banner year of 1999, which saw 476 companies go public, investors should have far more choices than they did four years ago, when just 38 firms held an IPO,” he writes.

Shin also framed the separation of JFC in terms of simplifying how investors assess the corporation, noting the group includes businesses at different stages of their life cycles, with varying returns and opportunities. Distinct domestic and international entities, he suggested, could offer investors clearer, more targeted investment options as the strategic profiles of the two segments continue to diverge.

Reasons for pursuing the separation include improved transparency, discipline in capital allocation, execution against the growth strategy, and the ability to attract an investor base aligned with the risk–return profile of each business rather than being judged solely on short-term financial metrics, he said.

“The transaction is aligned with the Jollibee Group’s long-term value creation strategy,” Shin said.

With its eyes on Wall Street, Jollibee is betting that global taste and investor appetite, will be on its side.

Sheryl Estrada
sheryl.estrada@fortune.com

Leaderboard

Helen Cai was appointed senior executive vice president and CFO of Barrick Mining Corporation (NYSE: B), effective March 1, following the departure of long-serving finance chief Graham Shuttleworth, who will be leaving the company after its year-end results. Cai has served on Barrick’s board since November 2021 and brings more than 20 years of experience in equity research, corporate finance, capital markets, and M&A at firms across the mining, industrial, and technology sectors, primarily with Goldman Sachs and China International Capital Corporation.

Meredith Peck was named CFO of Zekelman Industries, the largest independent steel pipe and tube manufacturer in North America. Peck succeeds Mike Graham, who will retire on May 15 following a planned transition period. She brings more than 20 years of financial leadership experience to Zekelman Industries and most recently served as CFO for COTSWORKS, Inc., after earlier roles as the company’s controller and then vice president of finance and administration. Earlier in her career, Peck held senior leadership roles at KeyBank and began her career in public accounting at PwC, and she is also a former U.S. Coast Guard officer.

Big Deal

In a blog post on Sunday, OpenAI CFO Sarah Friar provided an update on the tech giant, including its revenue. In 2023, revenue reached $2 billion in annual recurring revenue; it rose to $6 billion in 2024 and jumped to more than $20 billion in 2025.​

This revenue growth closely tracked an expansion in computing capacity. OpenAI’s computing capacity rose from 0.2 gigawatts (GW) in 2023 to 0.6 GW in 2024 and about 1.9 GW in 2025.​

Friar writes: “Compute is the scarcest resource in AI. Three years ago, we relied on a single compute provider. Today, we are working with providers across a diversified ecosystem. That shift gives us resilience and, critically, compute certainty.”​

In an accompanying LinkedIn post, Friar said that from a finance perspective, demand is real and growing at rates never seen by any company previously, and that customers are paying in proportion to the value delivered. She added that capital is being deployed deliberately into the constraints that actually matter, especially compute. 

Going deeper

ACCA (the Association of Chartered Certified Accountants) and IMA (Institute of Management Accountants) have published a Global Economic Conditions Survey, based on the results of their Q4 2025 poll. Members from around the world share their views on the macroeconomic environment. 

Confidence among CFOs improved somewhat, but remained below its historic average, and the key indicators point to caution at their firms, according to the findings. Accountants flagged economic pressure, cyber disruption, and geopolitical uncertainty as the top risk priorities, underscoring that risks are increasingly complex and interlinked. 

“Accountants remain cautious entering 2026, amid a highly uncertain global backdrop,” Jonathan Ashworth, chief economist of ACCA, said in a statement. “The global economy performed better than expected in 2025 and looks set to remain resilient in 2026 amid recent monetary easing by central banks, stock market gains, supportive fiscal policies in key countries, and the ongoing global AI boom.” However, there remains significant uncertainty, amid a wide range of risks, “not least on the geopolitical front, which are more heavily skewed to the downside,” he said.

Overheard

“We are entering an IPO ‘mega‑cycle’ that we expect will be defined by unprecedented deal volume and IPO sizes.” 

—Goldman Sachs’ global co-head of investment banking, Kim Posnett, recently told Fortune. Posnett discussed how she sees the current business environment and the most significant developments in 2026 in terms of AI, the IPO market, and M&A activity. Posnett, named among the leaders on Fortune’s Most Powerful Women list, is one of the bank’s top dealmakers and also serves as vice chair of the Firmwide Client Franchise Committee and as a member of the Management Committee.



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Khosla-backed Formulary raises oversubscribed $4.6 million seed round for its AI-powered private fund manager software

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Alfia Ilicheva came from the world of public markets, including four years at one of the world’s largest hedge funds, Bridgewater. But when she transitioned over to the private side, including serving as the CEO of an Apollo-backed investment platform, she realized the difficulty of fund administration for operations like private equity and venture capital. Instead of having access to real-time and accurate data like at Bridgewater, which can rely on publicly available information, this new world was filled with manually compiled and fragmented data subject to human error and inconsistent metrics.  “How could it be that hedge funds are so into the future and private capital markets are so backward,” she remembers thinking. 

As private markets explode and AI makes automation increasingly possible, Ilicheva saw an opportunity to build the next generation of fund administration software for everyone from venture capital outfits to PE giants like Apollo. After initially planning to bootstrap the project, which she named Formulary, Ilicheva was introduced to Hari Arul, a partner at Khosla Ventures, who immediately saw the appeal of the idea. Khosla is leading Formulary’s $4.6 million seed round, which Ilicheva says is three times oversubscribed, with participation from Human Ventures, Serena Williams’s venture firm, and others. 

In the red-hot field of private investments, buoyed by the rise of private credit and massively valued companies like SpaceX and OpenAI, fund administration may not be the most alluring area for innovation. But the ability to track investments, returns, and performance—and accurately convey the information to investors, or limited partners—is a necessary foundation. 

The existing options fall into two camps: the service side, or high-touch accounting companies, like SS&C and Citco, or the software side, like Carta. As Ilicheva interviewed general partners and former clients in her user research, she realized that nearly everyone was dissatisfied with the existing options to the point that most turned to shadow fund administration, where they would hire outside firms but keep their own books at the same time. “When you raise a fund, your dream is to generate alpha by investing capital, not redoing someone’s work,” Ilicheva said. 

Ilicheva planned to find a happy medium between the two models by leveraging AI to massively scale up the service approach, creating software for their own in-house accountants, which Ilicheva playfully calls bionic accountants. “They’re really focused on having a grip on the numbers and delivering service, but they’re not manually entering things in an Excel spreadsheet, which has been the industry’s burden for the past decades,” she said.  

The challenge in creating a tech-enabled services company, of course, is scale, with a pure SaaS model able to grow at a much faster clip. When I asked Khosla’s Arul how he thought about the approach, he said the key is to deliver the vast majority of the product through technology: “It’s important for any entrepreneur or any investor to look at an AI-enabled services business and say, the margin of how this business runs looks more like a technology company than a services company.” 

Arul said that while Khosla is not yet using Formulary, which is just now coming out of stealth, he’s optimistic for a future where tedious processes like ensuring data accuracy for LPs can be fully, reliably automated. Ilicheva mentioned one possible future use case for Formulary as drafting LP letters, which Arul wholeheartedly endorsed, along with a portal where investors could communicate directly with the system to understand the value of positions, fund deployment, and future capital calls. “[That] sounds pie in the sky relative to what the reality is today,” Arul said, “But it doesn’t feel out of reach.” 

Leo Schwartz
X:
 @leomschwartz
Email: leo.schwartz@fortune.com

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This story was originally featured on Fortune.com



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