Hiya and welcome to Eye on AI. On this version…Nvidia turns into the primary $5 trillion market cap firm…Anthropic finds AI fashions have ‘introspection,’ of a form…and Meta, Alphabet, and Microsoft inform buyers simply how a lot they’ve been spending on AI information facilities.
Hiya, it’s Jeremy right here. I’m simply again from Fortune World Discussion board in Riyadh, the place AI was very a lot a central characteristic in most of the discussions. I’ll present just a few insights from what I discovered there.
In fact, there was loads of dialogue on the occasion about whether or not there’s an “AI bubble”—and that was earlier than we bought the most recent earnings and cap ex numbers from Meta, Microsoft, and Alphabet. Wall Road’s disparate reactions to the businesses’ quarterly report playing cards present the market’s rising impatience to see tangible outcomes from hefty AI investments. They are going to solely help firms who can present they’re seeing notable income impression in the present day.
Why the market reacted so otherwise to Meta’s, Microsoft’s, and Alphabet’s capex numbers
Take into account Alphabet, which noticed its shares climb after its earnings report. With its quarterly search revenues rising 14.5% year-over-year, and cloud revenues up 32%, Alphabet continues to defy issues that AI poses an existential innovator’s dilemma to its core advertising-based enterprise mannequin. In contrast, Meta stated capital bills on AI information facilities subsequent yr can be even bigger than the already whopping $70 billion to $72 billion it’s spending this yr as CEO Mark Zuckerberg races to construct “super-intelligence,” an extremely formidable effort with restricted speedy income impression. Traders weren’t having it, and Meta’s shares bought hammered, dropping 9% in pre-market buying and selling.
Investor response to Microsoft’s earnings fell someplace between these two extremes. Like Alphabet, it reported income numbers that exceeded consensus analyst forecasts, however not by a lot, and it additionally stated capital expenditures would climb greater than analysts had anticipated. So it noticed its shares slide about in step with buyers’ disappointment within the dimension of the hole between income acceleration and capital expense progress, though Microsoft’s cloud computing gross sales had been up a powerful 40% from final yr, a determine it largely attributed to AI spending.
What was hanging at Fortune World Discussion board, nonetheless, was how little international executives appeared to care about these monetary market dynamics. If there was any consensus from the discussions in Riyadh, it was that the present second is so much just like the early days of the web or the roll out of cloud computing within the mid-2000s and early-2010s. In different phrases, an actual technological transformation is underway. Sure, it’d contain some firms changing into overvalued—as did occur with the web growth. However virtually all agreed that AI goes to have a transformative and lasting impression on their firms, and on the world economic system, even when there’s a market correction.
Executives are discovering worth in AI
At an IBM-sponsored dinner at FGF that Fortune hosted, Ana Paula Assis, IBM’s senior vice chairman and chair for EMEA and progress markets, stated that, in her expertise, it wasn’t the concern of an AI bubble—the priority that AI may simply be a flash within the pan that doesn’t stay as much as the hype—that held firms again from investing within the expertise. As an alternative, it was the velocity of AI innovation that was truly the issue. Some firms, she stated, appeared nervous they’d construct techniques round one set of fashions and capabilities, solely to have these eclipsed in only a few months or a yr, requiring them to vary these workflows and swap fashions once more. She described some potential clients as “like deer within the headlights” dazzled and frozen in place by the tempo of change.
On stage on the convention, Ruth Porat, the president and chief funding officer at Alphabet, echoed Assis’s view to some extent. She famous that there was a giant disparity between the velocity of AI advances and the velocity at which firms had been adopting the expertise. She stated this disparity was largely the results of how tough it’s for big enterprises to vary inside processes typically. And to get essentially the most out of AI requires firms to rethink each course of, she stated, so it’s maybe not stunning that that is taking place way more slowly than the speed at which AI firms, together with Google, are rolling out new AI fashions and capabilities.
IBM put out some survey outcomes this week for EMEA enterprises that present firms are certainly shifting forward with deploying AI at scale. Its survey of three,500 senior executives in 10 nations discovered that two-thirds reported “important productiveness positive aspects” from deploying AI. In some sectors, corresponding to finance, the determine was 72%. Adoption in Saudi Arabia was even increased nonetheless—84%. What’s extra, throughout EMEA, 92% of these surveyed had been assured that AI brokers would ship ROI throughout the subsequent two years. (Which can show the purpose in regards to the tech capabilities operating far forward of adoption. You may bear in mind what number of prime tech execs declared 2025 to be “the yr of AI brokers.” I suppose the actual yr of AI brokers is likely to be 2027!)
Okay, with that, right here’s extra AI information.
Jeremy Kahn
jeremy.kahn@fortune.com
@jeremyakahn
FORTUNE ON AI
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AI IN THE NEWS
Nvidia turns into world’s first $5 trillion firm because it reveals $500 million order backlog. The AI chip firm turned the primary enterprise ever to succeed in a $5 trillion market capitalization, after its shares rose earlier within the week following a number of bulletins by its CEO and founder, Jensen Huang, at a developer convention in Washington, D.C. Huang revealed that the corporate has a $500 billion order backlog for its newest Blackwell GPUs and its upcoming Rubin GPUs. The corporate has additionally lately introduced deeper partnerships and investments with OpenAI, Oracle, and Eli Lilly. Nvidia has seen its market cap add $3 trillion in worth since early 2024. Learn extra from The Wall Road Journal right here.
Fed Chair Powell says AI growth not akin to dot com bubble. U.S. Federal Reserve Chair Jerome Powell stated the present synthetic intelligence growth differs from the dot-com bubble as a result of in the present day’s main firms—and right here he appears to have been referring to the likes of Nvidia, Alphabet, Microsoft, and Meta, versus the AI mannequin makers corresponding to OpenAI and Anthropic—truly generate income. He additionally famous that the AI growth is driving tangible financial progress by investments in information facilities and chips. (Though it ought to be stated that the dot com bubble additionally fueled capital funding in fiber optics and networking tools.) He contrasted this with the Nineteen Nineties web frenzy, when many high-valued companies collapsed after failing to show a revenue. You’ll be able to learn extra from CNBC right here.
Anthropic says cutting-edge AI fashions could have a type of introspection. The AI firm stated its Claude Opus 4 and 4.1 fashions exhibit early indicators of introspection—the power to detect and describe points of their very own inside states slightly than simply generate believable textual content. In experiments, Anthropic researchers “injected” particular neural activation patterns that they knew had been related to explicit ideas into the mannequin at instances when it was not contemplating subjects associated to these ideas. It then requested the mannequin whether or not it seen something totally different about its considering in these cases. The fashions had been capable of accurately determine a few of these “ideas” as not their very own among the time, indicating a restricted type of self-monitoring, based on the Anthropic researchers. This introspective conduct, nonetheless, was extremely inconsistent—occurring solely about 20% of the time—and its underlying mechanisms stay unclear. Anthropic cautions that whereas intriguing, these findings don’t suggest human-like self-awareness however may assist advance future work on mannequin transparency and interpretability. You’ll be able to learn extra in Anthropic’s weblog put up on the analysis right here.
Examine finds prime AI fashions can’t assemble predictive “world fashions.” A gaggle of researchers from the non-profit AI lab the Foundation Analysis Institute and affiliated with MIT, Harvard College, the College of Montreal, the College of Cambridge and Cornell College, constructed a brand new benchmark to check how main LLMs carry out at duties that require understanding a digital world, together with discovering hyperlinks between trigger and impact and the “guidelines” by which the world operates. Their new “AutumnBench” entails a collection of 43 grid-world environments with 129 duties, together with predicting which objects are behind an obstruction, planning, and detecting what’s modified in a scene and the possible trigger. They checked out how three state-of-the-art reasoning fashions— Anthropic’s Claude 4 Sonnet, Google’s Gemini 2.5 Professional, and OpenAI’s o3—in contrast towards 517 human members. They allowed the check topics to spend a while exploring every digital world and deploying methods to determine the principles of the world earlier than testing them on the duties. The outcomes present that people considerably outperform the AI fashions throughout all job varieties and environments. What’s extra, they discovered that the fashions fail to undertake human-like methods for figuring out the principles of the digital worlds and tips on how to carry out the duties, corresponding to hypothesis-testing and updating their beliefs to account for brand spanking new proof. You’ll be able to learn the analysis paper right here.
AI CALENDAR
Nov. 10-13: Net 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 right here.
EYE ON AI NUMBERS
$78.2 billion
That’s the quantity that simply Meta, Microsoft, and Alphabet collectively spent constructing new AI information facilities and shopping for AI {hardware} within the three months between the top of June and the top of September. And all three firms signaled they plan to proceed to ramp up that spending additional over the subsequent quarter and all through 2026. You’ll be able to learn extra right here from the Monetary Instances.
