Google Q1 Earnings Preview: Breaking Down Core Businesses, Can AI Be Transformed into Growth Momentum

TradingKey - Google ( GOOGL) will release its first-quarter earnings on April 29. However, with Google projecting that its capital expenditure will reach $175 billion to $185 billion this year—the vast majority of which is allocated to AI infrastructure—market focus has shifted. It is no longer just about whether overall revenue is steady, but rather a more granular breakdown of performance across business lines to judge the extent to which AI investment is translating into real growth.

Current market consensus expects Google's first-quarter revenue to be in the $106 billion to $107 billion range, with earnings per share at approximately $2.60. Yet, more critical than the figures themselves is whether the growth structure sustains its previous trend.

Over the past few quarters, Google's growth logic has become increasingly clear: the search business provides the foundation, cloud services act as the future growth engine, YouTube handles traffic and commercial expansion, and AI has become the 'amplifier' across all segments. The crux of this earnings report is whether this structure remains intact.

AI and Capital Expenditure: Whether Investment Can Translate into Profit is the Focus

Google's 2026 capital expenditure guidance of $175 billion to $185 billion provided in February is significantly higher than historical levels, with these funds primarily earmarked for data centers, AI chips, and computing infrastructure.

While these are necessary investments for building a competitive moat in the long run, they will directly compress profit margins and free cash flow in the short term. The market's reaction to this guidance in February was immediate, as Google's stock price dropped by more than 6% in after-hours trading, indicating that investors are not rejecting the AI strategy itself but are concerned that the pace of investment is too fast and returns are lagging.

Market divergence currently centers on this issue: optimists believe this round of investment is akin to early cloud computing expenditures—pressuring margins short-term while boosting revenue long-term—whereas cautious investors worry that the AI investment cycle is longer and the uncertainty of returns is higher.

Consequently, management's explanation of the capital expenditure pace and the return cycle in this earnings report will directly influence market sentiment. If the company can clearly demonstrate that AI investments have begun to yield quantifiable revenue increases, the market will more readily accept the current high level of spending.

Can Google Cloud Sustain Its Relative Lead in Revenue Growth?

Google Cloud is currently Google’s most dynamic growth engine, but its value becomes clearer only when viewed through a horizontal comparison.

Ranked by scale, Amazon ( AMZN )'s AWS remains the world leader, consistently holding a market share of around 30%, while Microsoft ( MSFT )’s Azure holds a share between 20% and 25%, while Google Cloud ranks third with approximately 10%. In terms of scale, Google still lags behind.

For a period of time, Azure leveraged its deep ties with OpenAI to secure a first-mover advantage in the generative AI wave, while AWS maintained steady growth through its ecosystem and customer base. Meanwhile, Google Cloud was once perceived as technically strong but slow to commercialize; however, based on shifts over the past few quarters, the market has begun to re-evaluate its position.

In terms of growth rate, Google Cloud is the most dynamic among the three. Its year-over-year growth of nearly 50% in the fourth quarter of 2025 was significantly higher than Azure’s 39% and AWS’s 24%. The core reason behind this is not a sudden explosion in traditional cloud computing demand, but rather the concentrated release of AI computing power demand. By leveraging its proprietary TPUs, deep integration of Gemini models, and capabilities in data processing and AI toolchains, Google has successfully captured a portion of the market share.

Therefore, the most critical point for the first-quarter earnings report is whether Google Cloud’s relative growth continues to lead. If Google Cloud continues to outperform Azure and AWS, even if its absolute scale remains small, the market will further elevate its strategic status in the AI era; conversely, once the growth rate slows, valuation elasticity will contract significantly.

Search and Advertising: Is the core business solid? Is AI an enhancement or a disruption?

Search advertising remains Google's core revenue source, with its share consistently maintained above 70% over the long term. Looking at the past several quarters, this segment has demonstrated significant resilience; even amidst macroeconomic volatility, advertising demand has remained relatively stable. However, its absolute dominance is being challenged. According to research firm Emarketer, non-Google search advertising spend is set to exceed $100 billion, as incremental budgets increasingly flow toward social platforms, retail media, and other search gateways.

Furthermore, Emarketer's analysis indicates that Meta's net advertising revenue is projected to surpass Google's for the first time by the end of 2026, with global net ad revenue reaching $243.46 billion, compared to Google's $239.54 billion. This marks a transition in advertising budget allocation from a search-dominated landscape to a diversified flow across search, video, and social media.

Against the backdrop of intensifying competition in the search advertising market, Google has introduced generative AI, shifting market focus toward how AI will reshape growth logic. On one hand, AI-driven search result complexity and experience optimization enhance advertising effectiveness through more precise long-tail query matching; on the other hand, the potential compression of traditional ad slots has also prompted a market reassessment of its commercialization model.

Google management has repeatedly emphasized in the past that AI is an enhancement to advertising rather than a replacement. If first-quarter data continues to show search advertising maintaining its growth momentum, alongside improvements in click-through rates or monetization capacity, it will validate that AI is boosting search business efficiency and bolster market confidence in its core operations. Conversely, if ad revenue growth slows significantly or if management's rhetoric regarding AI's impact on the advertising model becomes more conservative, the market may reassess the long-term stability of the search business.

YouTube and Subscription Services: Stable Growth, but Lacking in Imagination?

In recent years, YouTube has gradually shifted from a pure advertising platform to a dual-engine model driven by both advertising and subscriptions. Subscription products such as YouTube Premium and YouTube Music provide more stable revenue streams while mitigating the impact of cyclical fluctuations in advertising.

Based on past financial results, YouTube's advertising revenue has maintained steady growth, while the subscription business has been relatively more stable. However, the challenge is that while growth in this segment is highly certain, it lacks explosive potential.

The role of AI in this business is currently more evident in recommendation algorithm optimization and content generation assistance, and its direct impact on revenue is not yet significant. Therefore, market expectations for YouTube are relatively modest; as long as there is no significant decline, it will suffice to maintain the stability of the overall structure.

However, if competition in short-form video intensifies or advertiser budgets shift, this segment could also become a drag on performance.