Alphabet – Search and Beyond

Author: Danyaal Munshi

Alphabet – Search and Beyond

Steve Jobs once said that if a company doesn’t look to cannibalize its own products with better ones, another company will. This is easier said than done. 

Alphabet recently released their Q1 2025 results, reporting a total revenue of $90.2 billion for the quarter, which is a 12% increase year over year. Google Search, which accounts for the bulk of Alphabet’s revenue and profits, generated $50.7 billion, marking a 9.8% year-over-year increase.  

There are growing concerns that Generative AI could significantly impact Alphabet’s Search business. As more users opt for AI-generated summaries, fewer people may click on ads during their searches. 

Generative AI is still in its infancy, and there is no clear leader in the AI race. At the beginning of the year, big tech companies planned to spend $300 billion on capital expenditure to primarily develop their Generative AI capabilities. Last year, Alphabet spent $53 billion on capital expenditure, and they have indicated plans to increase this to $75 billion this year, a 41% increase compared to 2024. 

The Google Cloud segment saw a significant increase in revenue, growing by 28% to $12.3 billion for the quarter. This growth was attributed to Alphabet’s sales of Cloud, AI infrastructure, and Generative AI solutions. Alphabet mentioned that the demand for their AI solutions continues to outstrip supply, which they are using to justify their planned $75 billion capital expenditure this year. This despite the uncertainty caused by the Trump administration and the increasing risk of a US recession which could negatively affect the demand for Alphabet’s products.  

Alphabet’s balance sheet shows a 64% increase in the Property, Plant, and Equipment line item since the end of 2022. In comparison, the rolling 12-month operating income for Alphabet has increased by 57% during the same period. The concern is whether Alphabet can generate a return quickly enough to justify their substantial investment in AI capabilities. 

Meanwhile, other big tech companies are also racing to become the dominant force in AI. The risk is shared in their efforts to not be left behind. 

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