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The AI bubble will pop. Intelligence won’t

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Oracle’s 43% stock surge in a single day should make investors uneasy. This isn’t a meme stock or speculative startup, it’s one of America’s largest tech firms, suddenly trading at bubble-era valuations. The AI boom has inflated the S&P 500 and Nasdaq to record highs. This run-up is the latest development that has led investors to wonder: Will the AI bubble pop?

Yes, it will.

But what won’t pop is intelligence itself. While Wall Street bids up mega-models with billion-dollar burn rates, AI is producing measurable returns elsewhere in transformational, if less glamorous, ways. 

Take Austin, Texas, where an on-premise AI-system helped local government process building permits in days instead of months. No spectacle. No headlines. Just efficiency gains that will outlast the market cycle.

That’s the point too often missed in the frenzy. Mega-models attract headlines, consume billions in capital, and struggle to demonstrate sustainable economics. Meanwhile, smaller, domain-specific systems are already delivering efficiency gains, cost savings and productivity improvements. The smart play isn’t to abandon AI, but to pivot toward models and deployments that will endure.

We’ve seen this movie before. Netscape once symbolized the internet revolution. Its spectacular IPO made headlines; its decline made history. But the collapse of early web darlings didn’t kill the internet, it revealed that the real value lay not in browsers but in the infrastructure beneath them.

AI stands at the same crossroads today. The platforms consumers know best — ChatGPT, Gemini, Claude — are extraordinary feats of engineering, but they don’t represent sustainable AI. They are breathtakingly expensive to run, but free or cheap to use. They deliver entertainment and convenience more than enterprise value. It’s fun to have ChatGPT turn out a poem, nice when it helps you smooth out an email — but it’s not mission-critical.

Economically, the hyperscale model doesn’t hold. Training and maintaining ever-larger systems yields diminishing returns while costs escalate into the billions. That’s why GPT-5 landed with a shrug. Scale alone is no longer impressive.

So what is?

The answer lies in focused deployments. Austin’s permitting office achieved in weeks what bureaucracy had delayed for years. Healthcare systems are running diagnostic models fine-tuned for their specialties that outperform general-purpose LLMs. Financial firms are already relying on BloombergGPT, trained on market data, which delivers better results in its domain than larger consumer platforms. These applications generate tangible ROI and do so sustainably.

The principle is simple: a massive general-purpose model can do many things at a passable level, but it rarely excels. A leaner system, built for a specific function and deployed thoughtfully, can deliver speed and accuracy where it matters most and at a fraction of the cost. This is the strategic, cost-effective way forward: integrate AI in tactical ways that directly serve the business, rather than chasing the illusion of a one-stop shiny new AI technology.

Think of it as staffing a project: 100 average consultants won’t outperform five experts.

Where the data lives matters just as much. Lighter models can be optimized to run locally on edge devices or inside secure enterprise facilities instead of depending on costly, centralized infrastructure. At webAI, for example, we’ve been able to shrink models by nearly a third while preserving accuracy. That changes the economics completely. Instead of routing every query through an expensive cloud data center, intelligence sits closer to the data it serves, making it cheaper, faster, more resilient and more secure. Just as important, enterprises retain ownership of their data and the insights built on it, which is not possible when relying solely on hyperscale providers.

Companies tied exclusively to mega-models are exposed to spiraling costs, energy scrutiny, and security vulnerabilities. Decentralized, specialized AI avoids those traps. IT also offers resilience and puts businesses on firmer ground for the regulatory scrutiny that is sure to come.

With this in mind, smart techno-optimists and AI investors need not panic when headlines warn of an “AI winter.” Yes, some companies will collapse under the weight of unsustainable economics, just as many did after the dot-com crash. But AI itself isn’t going away. It’s evolving toward networks of specialized systems that work together more like a city grid rather than a skyscraper.

For executives, the takeaway is clear: avoid chasing scale for its own sake. Instead, invest in AI systems that are efficient, close to your data, and tailored to specific business needs. Build for sustainability, not spectacle.

When the next AI earnings cycle sends markets into another frenzy, remember Austin’s building permits. The businesses building lean, domain-specific intelligence won’t be watching their valuations with the same anxiety. AI isn’t going back in the box. But the future won’t be bigger at all costs — it will be smarter, leaner and built for staying power.

The opinions expressed in Fortune.com commentary pieces are solely the views of their authors and do not necessarily reflect the opinions and beliefs of Fortune.

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Quant who said passive era is ‘worse than Marxism’ doubles down

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Inigo Fraser Jenkins once warned that passive investing was worse for society than Marxism. Now he says even that provocative framing may prove too generous.

In his latest note, the AllianceBernstein strategist argues that the trillions of dollars pouring into index funds aren’t just tracking markets — they are distorting them. Big Tech’s dominance, he says, has been amplified by passive flows that reward size over substance. Investors are funding incumbents by default, steering more capital to the biggest names simply because they already dominate benchmarks.

He calls it a “dystopian symbiosis”: a feedback loop between index funds and platform giants like Apple Inc., Microsoft Corp. and Nvidia Corp. that concentrates power, stifles competition, and gives the illusion of safety. Unlike earlier market cycles driven by fundamentals or active conviction, today’s flows are automatic, often indifferent to risk.

Fraser Jenkins is hardly alone in sounding the alarm. But his latest critique has reignited a debate that’s grown harder to ignore. Just 10 companies now account for more than a third of the S&P 500’s value, with tech names driving an outsize share of 2025’s gains.

“Platform companies and a lack of active capital allocation both imply a less effective form of capitalism with diminished competition,” he wrote in a Friday note. “A concentrated market and high proportion of flows into cap weighted ‘passive’ indices leads to greater risks should recent trends reverse.” 

While the emergence of behemoth companies might be reflective of more effective uses of technology, it could also be the result of failures of anti-trust policies, among other things, he argues. Artificial intelligence might intensify these issues and could lead to even greater concentrations of power among firms. 

His note, titled “The Dystopian Symbiosis: Passive Investing and Platform Capitalism,” is formatted as a fictional dialog between three people who debate the topic. One of the characters goes as far as to argue that the present situation requires an active policy intervention — drawing comparisons to the breakup of Standard Oil at the start of the 20th century — to restore competition.

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In a provocative note titled “The Silent Road to Serfdom: Why Passive Investing is Worse Than Marxism” and written nearly a decade ago, Fraser Jenkins argued that the rise of index-tracking investing would lead to greater stock correlations, which would impede “the efficient allocation of capital.” His employer, AllianceBernstein, has continued to launch ETFs since the famous research was published, though its launches have been actively managed. 

Other active managers have presented similar viewpoints — managers at Apollo Global Management last year said the hidden costs of the passive-investing juggernaut included higher volatility and lower liquidity. 

There have been strong rebuttals to the critique: a Goldman Sachs Group Inc. study showed the role of fundamentals remains an all-powerful driver for stock valuations; Citigroup Inc. found that active managers themselves exert a far bigger influence than their passive rivals on a stock’s performance relative to its industry.

“ETFs don’t ruin capitalism, they exemplify it,” said Eric Balchunas, Bloomberg Intelligence’s senior ETF analyst. “The competition and innovation are through the roof. That is capitalism in its finest form and the winner in that is the investor.”

Since Fraser Jenkins’s “Marxism” note, the passive juggernaut has only grown. Index-tracking ETFs, which have grown in popularity thanks to their ease of trading and relatively cheaper management fees, are often cited as one of the primary culprits in this debate. The segment has raked in $842 billion so far this year, compared with the $438 billion hauled in by actively managed funds, even as there are more active products than there are passive ones, data compiled by Bloomberg show. Of the more than $13 trillion that’s in ETFs overall, $11.8 trillion is parked in passive vehicles. The majority of ETF ownership is concentrated in low-cost index funds that have significantly reduced the cost for investors to access financial markets. 

In Fraser Jenkins’s new note, one of his fictitious characters ask another what the “dystopian symbiosis” implies for investors. 

“The passive index is riskier than it has been in the past,” the character answers. “The scale of the flows that have been disproportionately into passive cap-weighted funds with a high exposure to the mega cap companies implies the risk of a significant negative wealth effect if there is an upset to expectations for those large companies.”



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Why the timing was right for Salesforce’s $8 billion acquisition of Informatica — and for the opportunities ahead

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The must-haves for building a market-leading business include vision, talent, culture, product innovation and customer focus. But what’s the secret to success with a merger or acquisition? 

I was asked about this in the wake of Salesforce’s recently completed $8 billion acquisition of Informatica. In part, I believe that people are paying attention because deal-making is up in 2025. M&A volume reached $2.2 trillion in the first half of the year, a 27% increase compared to a year ago, according to JP Morgan. Notably, 72% of that volume involved deals greater than $1 billion. 

There will be thousands of mergers and acquisitions in the United States this year across industries and involving companies of all sizes. It’s not unusual for startups to position themselves to be snapped up. But Informatica, founded in 1993, didn’t fit that mold. We have been building, delivering, supporting and partnering for many years. Much of the value we bring to Salesforce and its customers is our long-earned experience and expertise in enterprise data management. 

Although, in other respects, a “legacy” software company like ours — founded well before cloud computing was mainstream — and early-stage startups aren’t so different. We all must move fast and differentiate. And established vendors and growth-oriented startups have a few things in common when it comes to M&A, as well. 

First and foremost is a need to ensure that the strategies of the two companies involved are in alignment. That seems obvious, but it’s easier said than done. Are their tech stacks based on open protocols and standards? Are they cloud-native by design? And, now more than ever, are they both AI-powered and AI-enabling? All of these came together in the case of Salesforce and Informatica, including our shared belief in agentic AI as the next major breakthrough in business technology.

Don’t take your foot off the gas

In the days after the acquisition was completed, I was asked during a media interview if good luck was a factor in bringing together these two tech industry stalwarts. Replace good luck with good timing, and the answer is a resounding, “Yes!”

As more businesses pursue the productivity and other benefits of agentic AI, they require high-quality data to be successful. These are two areas where Salesforce and Informatica excel, respectively. And the agentic AI opportunity — estimated to grow to $155 billion by 2030 — is here and now. So the timing of the acquisition was perfect. 

Tremendous effort goes into keeping an organization on track, leading up to an acquisition and then seeing it through to a smooth and successful completion. In the few months between the announcement of Salesforce’s intent to acquire Informatica and the close, we announced new partnerships and customer engagements and a fall product release that included autonomous AI agents, MCP servers and more. 

In other words, there’s no easing into the new future. We must maintain the pace of business because the competitive environment and our customers require it. That’s true whether you’re a small, venture-funded organization or, like us, an established firm with thousands of employees and customers. Going forward we plan to keep doing what we do best: help organizations connect, manage and unify their AI data. 

Out with the old, in with the new

It’s wrong to think of an acquisition as an end game. It’s a new chapter. 

Business leaders and employees in many organizations have demonstrated time and again that they are quite good at adapting to an ever-changing competitive landscape. A few years ago, we undertook a company-wide shift from on-premises software to cloud-first. There was short-term disruption but long-term advantage. It’s important to develop an organizational mindset that thrives on change and transformation, so when the time comes, you’re ready for these big steps. 

So, even as we take pride in all that we accomplished to get to this point, we now begin to take on a fresh identity as part of a larger whole. It’s an opportunity to engage new colleagues and flourish professionally. And importantly, customers will be the beneficiaries of these new collaborations and synergies. On the day Informatica was welcomed into the Salesforce family and ecosystem, I shared my feeling that “the best is yet to come.” That’s my North Star and one I recommend to every business leader forging ahead into an M&A evolution — because the truest measure of success ultimately will be what we accomplish next.

The opinions expressed in Fortune.com commentary pieces are solely the views of their authors and do not necessarily reflect the opinions and beliefs of Fortune.



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The ‘Great Housing Reset’ is coming: Income growth will outpace home-price growth in 2026

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Homebuyers may experience a reprieve in 2026 as price normalization and an increase in home sales over the next year will take some pressure off the market—but don’t expect homebuying to be affordable in the short run for Gen Z and young families.

The “Great Housing Reset” will start next year, with income growth outpacing home-price growth for a prolonged period for the first time since the Great Recession era, according to a Redfin report released this week. 

The residential real estate brokerage sees mortgage rates in the low-6% range, down from down from the 2025 average of 6.6%; a median home sales price increase of just 1%, down from 2% this year; and monthly housing payments growth that will lag behind wage growth, which will remain steady at 4%.

These trends toward increased affordability will likely bring back some house hunters to the market, but many Gen Zers and young families will opt for nontraditional living situations, according to the report. 

More adult children will be living with their parents, as households continue to shift further away from a nuclear family structure, Redfin predicted.

“Picture a garage that’s converted into a second primary suite for adult children moving back in with their parents,” the report’s authors wrote. “Redfin agents in places like Los Angeles and Nashville say more homeowners are planning to tailor their homes to share with extended family.”

Gen Z and millennial homeownership rates plateaued last year, with no improvement expected. Just over one-quarter of Gen Zers owned their home in 2024, while the rate for millennial owners was 54.9% in the same year.

Meanwhile, about 6% of Americans who struggled to afford housing as of mid-2025 moved back in with their parents, while another 6% moved in with roommates. Both trends are expected to increase in 2026, according to the report.

Obstacles to home affordability 

Despite factors that could increase affordability for prospective homebuyers, C. Scott Schwefel, a real estate attorney at Shipman, Shaiken & Schwefel, LLC, told Fortune that income growth and home-price growth are just a few keys to sustainable homeownership. 

An improved income-to-price ratio is welcome, but unless tax bills stabilize, many households may not experience a net relief, Schwefel said.

“Prospective buyers need to recognize that affordability is not just price versus income…it’s price, mortgage rate and the annual bill for living in a place—and that bill includes property taxes,” he added.

In November, voters—especially young ones—showed lowering housing costs is their priority, the report said. But they also face high sale prices and mortgage rates, inflated insurance premiums, and potential utility costs hikes due to a data center construction boom that’s driving up energy bills. The report’s authors expect there to be a bipartisan push to help remedy the housing affordability crisis.

Still, an affordable housing market for first-time home buyers and young families still may be far away.

“The U.S. housing market should be considered moving from frozen to thawing,” Sergio Altomare, CEO of Hearthfire Holdings, a real estate private equity and development company, told Fortune

“Prices aren’t surging, but they’re no longer falling,” he added. “We are beginning to unlock some activity that’s been trapped for a couple of years.”



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