Hardware & Compute

Google just had its first negative cash flow quarter due to massive AI spending

Google has reported its financial results for the second quarter of 2026 (PDF), and as usual, the search giant raked in an unfathomable amount of money. Google saw total revenue of $119.8 billion, beating analyst expectations by a comfortable margin. Despite that, the company's stock has taken a hit. Along with all that revenue, Google has announced a further increase in its AI-fueled capital expenditures (or capex). The company is actually spending so much on AI infrastructure that it has negat

Get smart on it

Google reported record revenue but spent so much on artificial intelligence infrastructure that it had negative cash flow for the first time since going public, spending $44.9 billion on AI expansion in a single quarter while bringing in $39.1 billion in operating cash flow. The company significantly raised its planned capital spending for the year to as much as $205 billion, more than double what it previously told investors to expect, as it races to build and run data centers powering AI models. While Google remains highly profitable with over $100 billion in reserves, the shift matters because free cash flow is a key metric of business health and shows how the broader tech industry is prioritizing massive AI spending over immediate returns. Google's stock price dropped about 4.5 percent on the news, reflecting investor concerns about whether such enormous AI expenditures will eventually pay off.

The biggest AI stories, once a day

One short email a day with the stories that matter. Free. Unsubscribe with one click.

Relevant courses

Want to go deeper than the news? Explore live, cohort-based AI courses taught by practitioners.

Browse AI courses on Maven
Related news
Hardware & ComputeOpen story →

Google Unveils TPU 8i Max and TPU 8tx: A Dual-Chip TPU and a Confidential TPU

Google has added two new systems to its eighth-generation TPU lineup. TPU 8i Max targets massive context windows and rack density. TPU 8tx targets secure, confidential inference. Google TPU 8i Max is a dual-chip package built from 2 TPU 8i chips. Both arrive alongside TPU 8t and TPU 8i, announced in April. TL;DR Size: TPU 8i Max = 2 TPU 8i chips in 1 package. TPU 8tx = TPU 8t silicon plus 5th Gen AMD EPYC hosts. Runs on: Google Cloud TPU systems. Performance: 8i Max doubles TPU 8

Also reported by Data Center Knowledge

Hardware & ComputeOpen story →

IBM Announces IBM Quantum Nighthawk r3: A New Processor to Support 10k Quantum Operations on 520 Programmable Qubits

IBM has announced IBM Quantum Nighthawk r3, its next superconducting quantum processor. It is designed to run 10,000 quantum operations accurately across 520 programmable qubits. In 2027, IBM plans to link 2 r3 chips into a single 1,040-qubit system. For developers, the announcement is speed. The current Nighthawk r2 already runs workloads up to 19x faster than IBM’s earlier processors. TL;DR Size: Nighthawk r3: 520 programmable qubits, 2,034 physical qubits, 10 l-couplers. Nightha

Hardware & ComputeOpen story →

Why the data center you dread might never even be built

The data center boom is running into serious real-world obstacles, from widespread local opposition and permitting delays to a scramble for electricity. Before those challenges even come into play, though, there’s a more basic problem: A lot of the projects being announced may never get built in the first place. With billions of dollars in AI infrastructure […]

Hardware & ComputeOpen story →

How backlash and red tape continue to slow data centers post-Blue Wave

The data center boom is running into serious real-world obstacles, from widespread local opposition and permitting delays to a scramble for electricity. Before those challenges even come into play, though, there’s a more basic problem: A lot of the projects being announced may never get built in the first place. With billions of dollars in AI infrastructure […]

Hardware & ComputeOpen story →

AMD Launches Epyc SP7, Helion as AI Rack Demand Rises

AMD has begun shipping sixth-gen Epyc servers and is rolling out Helion AI racks, signaling a bigger push into enterprise and agentic AI infrastructure.

Hardware & ComputeOpen story →

Google broadens its AI hardware portfolio with two new specialized chips

Google's new tensor processing units (TPUs) broaden its chip portfolio to more use cases: confidential model training and more memory capacity.