• Enterprise software stocks have lost roughly $2 trillion in market value since late January as AI disruption fears spread
• Big Tech plans to spend $660 billion on AI infrastructure in 2026 with no clear path to near-term returns
• Analysts are split on whether this is rational repricing or panic-driven overreaction echoing the dot-com bust

NEW YORK, NY (TDR) — The AI stock market selloff tearing through Wall Street in February has produced a paradox that even seasoned investors struggle to explain: the market is simultaneously terrified that artificial intelligence will destroy entire industries and deeply skeptical that the companies building it will ever earn back what they're spending.

The two fears have fed off each other for weeks now, creating what Bloomberg described as a stock market doom loop hitting virtually everything that touches AI. Enterprise software firms have lost roughly $2 trillion in market capitalization since the rout began in late January. Real estate services, wealth management, logistics, insurance and media stocks have all been dragged into the undertow. And the tech giants pouring hundreds of billions into AI infrastructure are getting punished too — Alphabet is down 11% off a recent peak, even though it's widely considered the biggest AI winner among the group.

The result is a market that appears to be pricing in a worst-case scenario for everyone simultaneously.

AI Stock Market Selloff: The Trigger

The cascade began on Jan. 31 when Anthropic released Claude Cowork, a suite of AI agent plugins designed to handle legal research, sales workflows, marketing analysis and data processing. When markets reopened the following Tuesday, the reaction was savage.

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A Goldman Sachs basket of U.S. software stocks fell 6% in a single session — the worst day since the April 2025 tariff crash. Thomson Reuters plunged 16%, its worst day on record. LegalZoom fell nearly 20%. ServiceNow dropped 7.6%. Salesforce fell 7%. Intuit lost 11%. An estimated $285 billion in market value was wiped out in that single session across software, financial services and asset management stocks.

The selling didn't stop. By mid-February, the S&P 500 Software & Services Index — 140 constituents — was down roughly 20% year-to-date, extending its losing streak to eight consecutive sessions at one point.

"Software has undergone the largest non-recessionary 12-month drawdown in over 30 years, wiping out approximately $2 trillion of market cap from the peak and reducing its weight in the S&P 500 from 12.0% to 8.4%."

That assessment came from Dubravko Lakos-Bujas and his team at J.P. Morgan, who noted the drawdown was driven by mounting concerns over AI disruption and exacerbated by aggressive de-risking and extreme technical positioning.

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The fear spread beyond software into sectors that had previously been considered insulated. CBRE Group and Jones Lang LaSalle each dropped about 12% on Feb. 11 as investors assessed whether AI could disrupt commercial real estate brokerage. C.H. Robinson saw double-digit declines on concerns about autonomous logistics agents. Netflix, Fox and Disney got hit when AI disruption fears reached the media sector. Financial stocks fell after Altruist introduced a tax-planning tool that could deliver results within minutes, sending Raymond James down 6.3% and LPL Financial down 12.2% in a single week.

The $660 Billion Question

On the other side of the doom loop sits an equally unsettling reality: the companies building AI are spending money at a pace that has no historical precedent, and investors are losing confidence they'll see returns.

Amazon dropped the biggest capex bombshell in corporate history when CEO Andy Jassy announced $200 billion in planned capital expenditures for 2026 — a 53% increase from 2025 and more than $50 billion above Wall Street expectations. The stock plunged roughly 10%, erasing approximately $100 billion in market value despite the company beating revenue estimates.

Amazon wasn't alone. Alphabet guided $175 billion to $185 billion in 2026 spending — nearly double last year. Meta committed to spending "significantly higher" than its $70 billion 2025 budget. Microsoft signaled capex growth above its $88.2 billion fiscal 2025 total. Oracle, which has taken on roughly $250 billion in long-term data center leasing commitments, has seen its stock cut in half from its September highs.

Combined, the Big Five hyperscalers plan to spend approximately $660 billion to $700 billion on AI infrastructure this year — a sum larger than the GDP of countries like the United Arab Emirates, Singapore or Israel. CreditSights estimates roughly 75% of that, about $450 billion, goes directly to AI infrastructure: GPUs, servers, networking equipment and data centers.

Bank of America calculates that hyperscaler capex now consumes 94% of operating cash flows after dividends and buybacks — forcing companies into debt markets. The Big Five raised $108 billion in bonds in 2025 alone, with J.P. Morgan projecting $1.5 trillion in tech debt issuance over the coming years.

"Questions over the extent of capex as a result of LLM build-outs, the eventual return on that, and the fear of eventual over-expansion of capacity will be persistent."

That warning came from Paul Markham, investment director at GAM Investments.

AI Stock Market Selloff: The Dot-Com Echo

Multiple analysts have drawn the comparison openly, and the parallels are uncomfortable.

Newsweek's coverage featured a telling historical anecdote: the first-ever online purchase — a Sting CD bought on Aug. 11, 1994 — was covered by the New York Times. The article mentioned an early e-commerce company called NetMarket. The next Times article on e-commerce spotlighted America Online, Home Shopping Network and QVC. None became the long-term winner. To profit from e-commerce in 1994, you would have needed to know that a hedge fund employee named Jeff Bezos had just started a company called Cadabra in his garage — while simultaneously avoiding Kozmo, Pets.com, eToys and the countless startups that went bust.

The cable industry analogy may be even more instructive. As one market participant recalled:

"Cable companies put billions of dollars into fiber optics and the network. They never got that money back. But the winners were the companies that used those rails to make money."

Stephen Yiu, lead portfolio manager at Blue Whale Capital in London, called the Cowork-triggered selloff "the equivalent of the DeepSeek moment" for software companies — referencing the January 2025 Chinese AI shock that temporarily wiped nearly $600 billion from Nvidia's market value before the stock recovered to become the world's first $5 trillion company.

The broader market damage has been substantial. Microsoft, Nvidia, Oracle, Meta, Amazon and Alphabet collectively lost over $1.35 trillion in a single week in early February. Software billionaires as a group lost more than $62 billion in the first five weeks of 2026. Adam Foroughi, CEO of AppLovin, saw his net worth drop from $27.3 billion to $17.3 billion. Scott Cook, founder of Intuit, fell off the Bloomberg 500 richest list entirely.

The Bull Case: "Are You Insane?"

Not everyone thinks the market's reaction makes sense.

Jensen Huang, CEO of Nvidia, called the belief that AI will replace software "the most illogical thing in the world" at a Cisco-hosted AI conference.

"If you were a humanoid robot, would you use a screwdriver or invent a new screwdriver?"

Huang argued AI will improve software products and work alongside software companies rather than replacing them. Internally, he told Nvidia employees to embrace AI automation fully — "I want every task that is possible to be automated with artificial intelligence to be automated" — while pointing out the company hired several thousand people in the most recent quarter and remains about 10,000 short of where it needs to be.

Dan Ives at Wedbush Securities cautioned that Wall Street is "baking in a doomsday scenario" for software that is likely exaggerated. Morningstar senior equity analyst Dan Romanoff said the divergence between fundamentals and sentiment had become extreme, naming Microsoft a top pick with a fair value estimate of $600 per share — a potential 45% upside from current prices.

Gartner analysts weighed in more cautiously but still pushed back on the apocalyptic narrative, writing that Cowork and its plugins are "potential disrupters for task-level knowledge work but are not a replacement for SaaS applications managing critical business operations."

The underlying earnings data hasn't collapsed. Seventy-five percent of S&P 500 companies that have reported fourth-quarter earnings showed earnings per share 12% higher year-over-year — 5% above consensus estimates. AWS revenue hit $35.6 billion in Q4, growing 24% year-over-year, its fastest growth in 13 quarters.

"When the market finally feels these companies aren't going out of business, it will realize AI is a tool that can lead to greater profitability, and that the companies that deploy it will gain. But we're going to be in a period of volatility for the foreseeable future."

That assessment came from Anthony Saglimbene at Ameriprise.

The Bear Case: Both Fears Can Be True Simultaneously

The most uncomfortable possibility — and the one gaining traction among some institutional investors — is that the two fears aren't contradictory at all.

AI infrastructure spending could fail to generate adequate returns for the companies making the bets while the technology simultaneously proves devastating to incumbents across multiple industries. The builders lose money, the disrupted lose their businesses, and the eventual winners are companies that don't yet exist or haven't yet pivoted.

"The market continues to price in further AI disruption across industries, sometimes in the most abstract way."

That observation from Deutsche Bank's Jim Reid captures the uncertainty. He had warned as early as October 2025 that "identifying the long-term winners and losers at this early stage is close to pure guesswork."

James St. Aubin, chief investment officer at Ocean Park Asset Management, voiced the darker possibility:

"My biggest fear is that this is a canary in the coal mine for the labor market."

The February selloff occurred against a macro backdrop that amplified the stress. The nomination of Kevin Warsh as the new Federal Reserve Chair introduced a hawkish tone to markets, with his known preference for monetary discipline and balance sheet normalization suggesting the era of cheap money for tech experimentation may be ending. Capital is rotating out of growth stocks and into defensive assets — the Consumer Staples Select Sector SPDR Fund has climbed 13% year-to-date.

Meanwhile, a GAO report from January found that AI services generate only about $25 billion in direct revenue today — roughly 4% of what's being spent on infrastructure. The gap between investment and return remains a chasm.

AI Stock Market Selloff: What Comes Next

The market appears trapped between two narratives with no clear resolution on the horizon.

Ed Yardeni of Yardeni Research argued the "AI immunity trade" is getting overdone, particularly in the financial sector, and that many of the trade's casualties will survive and boost productivity using AI. Importantly, there is still little evidence that AI adoption is reducing employment outside the tech sector — the feared disruption remains theoretical for most industries.

Constellation Research offered perhaps the most measured take: the selloff reflects concerns that AI could pressure profits and limit pricing power rather than signaling the outright death of an industry. The question isn't whether software companies survive — it's what they're worth in a world where AI compresses their margins and breaks their competitive moats.

For the hyperscalers pouring hundreds of billions into data centers, AWS CEO Andy Jassy defended the bet: "As fast as we install this AI capacity, it's getting monetized." But monetizing capacity and generating returns on $200 billion in annual capex are very different things — and investors know it.

If AI is powerful enough to destroy $2 trillion in software market value in weeks, is it powerful enough to generate returns on $660 billion in annual infrastructure spending — or is the market right to suspect that both sides of this bet could lose?

Editor's Note: The Dupree Report uses Claude, developed by Anthropic, in its editorial process. This article covers market events directly involving Anthropic products. TDR maintains editorial independence from all technology providers.

Sources

My article was compiled using information from the following sources: Bloomberg's coverage of the AI stock market doom loop, Fortune's analysis of the selloff dynamics, Fortune's reporting on the $2 trillion software wipeout, Newsweek's investigation into Big Tech AI spending, CNBC's reporting on AI disruption fears in software and media sectors, Yahoo Finance's coverage of the $1 trillion selloff and sector ETF impact, Bloomberg's report on the Anthropic-triggered $285 billion rout, Fintool's analysis of Amazon's $200 billion capex announcement, Wolf Street's analysis of hyperscaler cash flows, Futurum Group's AI capex research, Michael Brenndoerfer's anatomy of the February 2026 selloff, ABC News' analysis of the software stock rout, The Motley Fool's reporting on Jensen Huang's response, CNBC's coverage of Big Tech's $1 trillion wipeout, Fortune's coverage of the Friday the 13th selloff, the devere Group's analysis of the SaaSpocalypse debate, and Investing.com's analysis of AI capex cash flows.

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