Google is stockpiling TPUs to create Artificial General Intelligence.

Alphabet, the parent company of Google, is strategically managing its AI accelerator resources to focus on research for artificial general intelligence (AGI), rather than exclusively renting them out to clients. CEO Sundar Pichai shared insights about these priorities during the recent second-quarter earnings call, confirming that the company has begun selling its tensor processing units (TPUs) to select customers.

In response to a question from Goldman Sachs analyst Eric Sheridan regarding how Alphabet balances client demand for TPUs with its own processing needs, Pichai emphasized that the primary focus is on ensuring the necessary resources for advancing AGI. He described AGI, which mimics human intelligence, as foundational to the company’s mission.

Another analyst, Mark Shmulik from Bernstein, inquired about how Google distributes processing power between its search services, cloud operations, and AI model training. Pichai reiterated that the starting point for resource allocation is the pursuit of AGI development. He also pointed out that Alphabet is committed to its key product areas, including Search and YouTube, alongside its Cloud offerings. In the realm of Google Cloud, the company is concentrating compute resources to support initiatives like Vertex and Gemini Enterprise, as well as vital services related to data analytics and cybersecurity.

Google’s core services are experiencing remarkable growth, as reflected in its latest financial results. The company reported an 82 percent year-over-year increase in Cloud revenue, amounting to $24.75 billion for the quarter, which contributed to an impressive profit of $8.8 billion, a 214 percent rise. This surge is attributed to robust demand for AI infrastructure and solutions. Moreover, Google Cloud has a commendable $514 billion in future commitments from clients who have signed up for services yet to be utilized.

The search business saw a 17 percent revenue increase, while YouTube ad revenue grew by 13 percent. Despite initial fears that generative AI might undermine Google’s search advertising, Pichai noted that their AI-enhanced search mode is actually contributing to an overall rise in search queries.

Implementing AI search requires high-performance hardware that comes with significant costs. Pichai assured stakeholders that the company is effectively managing these expenses, stating that recent engineering advancements have led to the lowest costs for AI mode responses since its inception, all while enhancing AI capabilities.

To support its ambitious AI infrastructure goals, the company is prepared to invest between $195 billion and $205 billion this financial year, a notable increase from the earlier estimation of $180 billion to $190 billion, according to CFO Anat Ashkenazi. However, challenges in supply constraints have prompted Google to expand third-party compute usage in the upcoming quarter as a temporary solution while it builds more in-house capacity.

Pichai explained that acquiring additional capacity is crucial for accommodating large cloud customers. "There are very, very large clients on our Cloud platform that we aim to support during this exceptional period," he highlighted, adding that while short-term costs could be elevated, the long-term partnership potential offers significant returns.

Alphabet also reported total quarterly revenue of $119.8 billion, up 24 percent year over year, with an operating income of $40.8 billion, reflecting a 34 percent increase. Despite these impressive figures, Google experienced a negative free cash flow of $5.9 billion for the first time since 2004, which caused stock prices to dip by four percent in after-hours trading as investors reacted.