On April 29 (U.S. time), all four tech giants will report first-quarter results within a tight window. Alphabet’s earnings call is scheduled for around 1:30 PM ET, followed by Microsoft, Meta, and Amazon at approximately 2:30 PM. After months of trading the narrative of aggressive AI spending, investors are now asking a more critical question: is the massive capital investment actually paying off?

Alphabet: Can Cloud Growth Outrun Depreciation?

Alphabet previously guided 2026 capital expenditures of $175–185 billion, largely allocated to data centers, AI chips, and computing infrastructure — a significant increase from historical levels.

The key issue now is depreciation. Management has indicated that depreciation will accelerate in the first quarter and rise further throughout the year. This means that even if revenue growth meets expectations, profit margins could come under pressure due to rising costs.

Bullish expectations for Alphabet hinge on one key assumption: Google Cloud growth must outpace the drag from depreciation. Citi analysts emphasized that monetization of Gemini AI remains a critical factor. Cloud growth cannot rely solely on infrastructure expansion — it must translate into product-driven revenue.

Encouragingly, momentum in Google Cloud appears strong. JPMorgan expects growth to accelerate from 48% in Q4 to 61% in Q1, with backlog rising 160% year-over-year to $240 billion. Citi forecasts cloud revenue growth at 57.5% and expects margins to expand beyond the previous 30.1%, gradually closing the gap with AWS’s ~38% margin.

Microsoft: Earnings as a Turning Point?

Microsoft has delivered the weakest stock performance among the group this year, down 23%, despite relatively solid fundamentals. This divergence creates a notable expectation gap.

Quarterly capital expenditures surged to $34.9–37.5 billion, with roughly two-thirds allocated to GPUs and CPUs — short-cycle assets. However, Azure growth has not been revised upward in tandem, raising concerns about capital efficiency.

AI monetization has also lagged expectations. Only about 3% of enterprise Office users have adopted Copilot, with growth trailing competitors such as OpenAI and Anthropic.

Still, Microsoft’s core business remains strong. Last quarter, revenue reached $81.3 billion (+17% YoY), with Intelligent Cloud generating $32.9 billion and Azure growing 39%.

Consensus estimates for Q1 stand at approximately $81.4 billion in revenue and $4.05–4.07 EPS. Meeting expectations may stabilize the stock, but any Azure growth below the 37–39% range or further increases in capex guidance could trigger renewed downside pressure.

Meta: Aggressive Spending, Strong Monetization

Meta is widely viewed as having the most credible AI monetization story — but also the most aggressive investment strategy.

For 2026, Meta guided capital expenditures of $115–135 billion, nearly double its 2025 spending of $72.2 billion. UBS recently raised its price target to $908, while other analysts maintain targets around $900, citing AI as a driver of advertising growth.

Meta’s valuation recovery has been remarkable, rising from $88 in early 2023 to nearly $800 at its 2025 peak. This was driven by improvements in engagement and ad efficiency through AI-powered recommendation engines.

However, risks remain. Bank of America lowered its target to $820 due to concerns about rising costs. Morgan Stanley expects revenue growth of 32.3%, above consensus, driven by AI tools like Andromeda improving conversion rates.

If advertising growth fails to exceed ~32% or if capex guidance is raised further, valuation risk could re-emerge, as the current ~29x P/E assumes sustained high growth.

Amazon: A Longer Investment Horizon

Amazon presents a different case. It is spending the most on AI infrastructure, but with the longest timeline for returns.

The company plans to invest approximately $200 billion in 2026, up nearly 60% year-over-year — far exceeding its peers. Much of this spending is focused on building power capacity rather than immediate revenue generation. AWS alone added 3.9 gigawatts of data center capacity in 2025 and aims to double capacity by 2027.

While these investments create long-term competitive advantages, they represent near-term cost pressure.

Market attention is firmly on AWS. Morgan Stanley forecasts Q1 growth of 29% and full-year growth of 31%, with margins in the low-30% range. Goldman Sachs slightly lowered its price target but maintained a Buy rating, expecting continued AWS revenue growth with stable margins.

Amazon has the highest tolerance from investors due to its longer-term growth narrative. However, if AWS growth falls significantly below expectations or management signals slower monetization, sentiment could shift quickly.

Market Implications

The market narrative is shifting from “spend more, get rewarded” to “show me the returns.”

Last week’s sharp sell-off in software stocks served as an early warning. ServiceNow’s stock fell 18% after lowering its margin outlook by just 0.6 percentage points — highlighting how sensitive markets have become.

With approximately $600 billion in AI-related capital expenditure across these four companies, expectations are extremely high. Even minor disappointments could trigger amplified market reactions.

This earnings cycle is not just about performance — it is about validating the entire AI investment thesis.