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Summary

Parkev analyzes Alphabet's latest quarterly results, noting a 24% year-over-year revenue growth, which is an acceleration from the previous quarter's 22%. Despite this, the stock price fell by over 6%, which Parkev attributes to the acceleration being at the low end of expectations relative to the hundreds of billions of dollars invested in assets. Parkev suggests that the market is currently in a phase where it is closely scrutinizing the return on investment for AI expenditures.

Parkev highlights significant progress in the cloud segment, which saw revenue increase by 82% and a backlog growth of $54 billion in a single quarter, reaching a total of $514 billion. However, Parkev points out that investors are discounting these figures because many backlog customers are AI startups that are currently losing money. Furthermore, token usage for Alphabet's large language models grew by 33% quarter-over-quarter, a rate Parkev describes as being on par with what is expected given the high level of investment.

Alphabet (GOOGL): Parkev explains that while the Search business remains stable, the Cloud division is the primary growth driver with an 82% year-over-year increase. Parkev observes that Alphabet is focusing on cost-effective AI models like Gemini 3.6 flash and 3.5 light to address growing enterprise concerns over the high costs of AI outputs. Parkev emphasizes that the competitive landscape for large language models is shifting so rapidly that it is difficult for investors to determine which company will ultimately secure a dominant lead in terms of cash flow and profits.

Mentioned Stocks

GOOGL

Sentiment: HOLD

Reasoning: Parkev notes that Alphabet's revenue grew 24% and Cloud revenue jumped 82%, but the stock fell 6% due to investor impatience regarding the timing of returns on AI investments. Parkev highlights that while token usage is up 33% QoQ, the massive spending on AI assets means the market expects more immediate results than what was delivered. Parkev also mentions that investors are skeptical of the $514 billion cloud backlog because it involves high-risk AI startups like Anthropic and OpenAI.

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