Alphabet Posts First Negative Cash Flow Quarter as AI Spending Spooks Wall Street

Alphabet Posts First Negative Cash Flow Quarter as AI Spending Spooks Wall Street

5 min read•Jul 24, 2026•
Anna Kowalski
Anna Kowalski

Alphabet delivered its most profitable quarter in corporate history — but also its first negative cash flow quarter, sending shares down nearly 7% in the worst single-day drop since the tariff turmoil. The contradiction highlights Wall Street's growing alarm over Big Tech's unprecedented capital expenditure binge to build out AI infrastructure.

A Quarter of Records, Good and Bad

Alphabet reported $112 billion in quarterly profit, its first-ever 12-figure net income. But 69% of that came from unrealized paper gains on stakes in SpaceX and Anthropic — not the core search and cloud business. Strip those out, and Google Cloud still posted an eye-popping 82% revenue surge, cementing its position as the company's growth engine.

Yet the milestone that caught investors' attention was a darker one: for the first time in Alphabet's history, more cash left the company than entered it during the quarter. Management compounded the anxiety by warning that 2027 capital expenditures would be "significantly" higher. Alphabet's latest filing revealed more than $800 billion in purchase commitments and other obligations, including roughly $51 billion spent backstopping other companies' data center builds.

Why Wall Street Punished Alphabet

At least six firms cut their price targets on the stock. Piper Sandler lowered its target to $395, UBS to $379, and D.A. Davidson issued one of the Street's most bearish calls at $350. Only Barclays raised its target.

"The fact that we crossed over to negative cash flow was kind of a negative milestone, and people are reacting to that," Gil Luria, head of technology research at D.A. Davidson, told Fortune. "Maybe there was a sense that we'd never get to that point, and we just did."

Luria acknowledged the market was likely overreacting. His concern had never been the spending itself but the valuation: when Alphabet's stock traded near $400 earlier in the year, "it was being valued as if it was the only winner." At roughly $320, he said, "Google's valuation is a lot more reasonable — because it's the valuation of a company that's a winner, as opposed to the winner."

The Contagion Spreads to Big Tech and Chip Stocks

Alphabet's selloff rippled across the tech sector. Microsoft, Amazon, Nvidia and the broader chip complex all fell in sympathy, with the damage compounded by jitters over a new wave of powerful Chinese open-weight AI models. Tesla also reported a profit margin decline alongside high capital expenditure, sending its stock down 15%.

The pattern is consistent: every major tech company is pouring unprecedented sums into data centers, GPUs and networking gear to support the AI buildout. Investors are starting to question when — or if — those investments will translate into sustainable cash flow.

The Bull Case Hiding in Plain Sight

Despite the negative sentiment, Luria sees a straightforward bullish thesis buried in the numbers. Google Cloud's "out of this world" growth means Alphabet will likely earn $15 billion to $20 billion this year directly from the compute infrastructure it has built. "Nobody wants to hear that on a negative-milestone day where the CFO just told us it's going to get worse before it gets better," he said.

Beyond Alphabet, the broader AI ecosystem is generating real revenue. Consumers and businesses are now spending at a $120 billion annual rate on AI services — a figure that was effectively zero two years ago. "That's real spend. There's nothing circular about that," Luria stressed.

However, he flagged the tangled web of investments that bind the AI giants to their own customers: the love triangle of Google, Amazon and Anthropic; Microsoft and OpenAI; Nvidia and CoreWeave. The off-balance-sheet backstops remind him of Enron-era language. "That term came into parlance around Enron, which is why I never like hearing it," he said, though he drew a clear line at calling the entire ecosystem circular.

Data center server racks with glowing blue lights

What This Means for the Industry

Alphabet's negative cash flow quarter is a watershed moment for Big Tech's AI strategy. For years, investors tolerated massive capital spending because cloud revenue and ad dollars kept growing faster than expenses. That assumption has now been tested.

For investors: The selloff signals a shift in sentiment from "spend whatever it takes" to "show me the returns." Companies that can demonstrate a clear path from capex to cash flow — especially via cloud services — may be rewarded. Those with opaque off-balance-sheet commitments face increased scrutiny.

For competitors: Microsoft and Amazon face similar dynamics. Both are spending heavily on AI infrastructure and have interlocking investment structures. Any sign that Alphabet's cash flow pain is not an anomaly could drag down the entire sector.

For the chip ecosystem: Nvidia and other hardware suppliers benefit from the spending spree in the short term, but sustained investor pressure on Big Tech's balance sheets could eventually slow the pace of orders — especially if Chinese model releases further muddy the ROI picture.

Conclusion

Alphabet's negative cash flow quarter marks a turning point in how Wall Street evaluates Big Tech's AI ambitions. The selloff reflects genuine anxiety about whether the unprecedented spending will ever translate into sustainable cash generation — but the underlying demand for AI services is real and growing rapidly. The next few quarters will test whether the market's patience matches the scale of the buildout.

Arizona appeals court vacates manslaughter sentence after AI video

An Arizona appeals court vacated the 10.5-year sentence of Gabriel Horcasitas while upholding his manslaughter conviction, first reported by Nytimes. The case returns to Maricopa County Superior Court for resentencing without the video, after judges found that it presented scripted statements as if the victim himself were speaking in court.

The three-judge panel said the video generated a likeness of Christopher Pelkey’s voice and appearance but did not reflect actual events. It found that allowing and relying on the video made the sentencing fundamentally unfair, and noted that no prior Arizona case had addressed the admissibility of such a depiction at sentencing.

The judges said a victim’s right to speak cannot override a defendant’s right to be sentenced on accurate, reliable information. They said the video collapsed the distinction between the family’s belief about what Pelkey would have said and Pelkey’s own voice and opinions.

The ruling distinguishes family members speaking about Pelkey from a generated likeness that appeared to speak for him.

Pelkey’s sister, Stacey Wales, presented the video during Horcasitas’s sentencing alongside victim-impact statements from family and friends. Wales wrote the script and said her husband and the couple’s longtime business partner helped create the video using Pelkey’s voice from a YouTube video and his face and torso from a funeral-service poster.

Judge Todd F. Lang praised the video as genuine, then imposed the maximum sentence of 10.5 years, more than the nine years prosecutors had sought.

Wales said nobody intended to make the court believe Pelkey was alive or that he had recorded the video before his death. She said she disagreed with the ruling and argued that families use slide shows, collages, hypothetical conversations and poetry to convey grief.

Wales compared the AI video with photography, saying it took 15 years of landmark cases around the 1860s before photography was widely accepted in courts.

The case returns to Maricopa County Superior Court for a new sentencing hearing without the AI-generated video.