Why Alphabet’s Earnings Must Justify Its Enormous AI Spending Plan
$Alphabet(GOOG)$ reports second-quarter results after the market closes on July 22 under unusually demanding circumstances. Google Cloud is growing rapidly, but investors increasingly want evidence that Alphabet’s enormous AI investments will produce returns commensurate with their cost.
The company entered the quarter with powerful operating momentum. In the first quarter, Google Cloud revenue increased 63% to approximately $20 billion. Cloud operating income tripled to $6.6 billion, while its operating margin expanded from 17.8% to 32.9%. Alphabet’s first-quarter earnings call shows that AI demand is already contributing to revenue and margin growth rather than remaining purely experimental.
However, Alphabet expects 2026 capital expenditure of approximately $175 billion–$185 billion, nearly double its 2025 spending. The company is building data centres, buying accelerators and developing custom processors to support Search, Gemini and Google Cloud. Alphabet’s February guidance explains the planned investment.
Alphabet subsequently proposed raising approximately $80 billion of equity, with total expected proceeds rising to around $85 billion after the underwritten portion was enlarged. Alphabet’s June investor presentation confirms the financing structure. The capital raise strengthens the balance sheet, but it also represents dilution and underlines how capital-intensive the AI competition has become.
The immediate concern is the reported delay of Gemini 3.5 Pro. The model was originally expected earlier, but problems involving coding performance reportedly pushed back its introduction. Reuters reported the delay on July 21, one day before the earnings release. Reuters’ earnings preview also highlighted increasing investor concern about infrastructure overcapacity and competition from lower-cost open-source models.
The bullish argument is that $Alphabet(GOOGL)$ controls the entire technology stack: distribution through Search, YouTube, Android and Workspace; Gemini models; Google Cloud; and custom TPU infrastructure. The company does not need every AI product to generate a direct subscription because improved recommendations, advertising conversion and cloud usage can monetise AI indirectly.
The bearish argument is that model leadership changes quickly while data-centre assets are long-lived. If more efficient models reduce computing requirements, or competitors attract developers despite Google’s spending, Alphabet could earn an inadequate return on its new infrastructure.
GOOGL Daily Chart
Alphabet fell 1.4% on July 21 and closed around $347, near its intraday low. The stock has recently struggled to sustain advances following the Gemini-delay report. The $347 area is immediate support because it marked Tuesday’s low; the $356 region is near-term resistance. The post-earnings close, rather than the initial after-hours move, will provide the stronger signal about whether institutions accept the spending trajectory.
The evidence leans neutral before earnings. Cloud growth and margin expansion are strongly bullish, while capital intensity, dilution and product delays increase execution risk. The outlook would turn more bullish if Cloud growth remains elevated and management demonstrates that revenue is scaling faster than AI-related depreciation and operating expenses. It would turn bearish if spending rises again without corresponding cash-flow visibility. This is personal opinion for education and is not financial advice.
@Tiger_SG @Tiger_comments @TigerStars @TigerClub @CaptainTiger @Daily_Discussion
Disclaimer: This article is for informational and educational purposes only and does not constitute financial, investment, or trading advice. The views expressed are personal opinions based on publicly available information and are subject to change without notice. Investors should conduct their own research and consider their financial situation, risk tolerance, and investment objectives before making any investment decisions. I do not guarantee the accuracy or completeness of the information presented.
Disclaimer: Investing carries risk. This is not financial advice. The above content should not be regarded as an offer, recommendation, or solicitation on acquiring or disposing of any financial products, any associated discussions, comments, or posts by author or other users should not be considered as such either. It is solely for general information purpose only, which does not consider your own investment objectives, financial situations or needs. TTM assumes no responsibility or warranty for the accuracy and completeness of the information, investors should do their own research and may seek professional advice before investing.
