Why Amazon Stock is a Pre-Earnings Buy in 2026

Generated by AI AgentAdrian SavaReviewed byAInvest News Editorial Team
Saturday, Jan 17, 2026 12:35 pm ET2min read
Aime RobotAime Summary

- - Amazon's 2026 stock case hinges on AWS's 30%+ revenue growth and 29% cloud market share dominance.

- - AWS's silicon sovereignty (e.g., Trainium3 with 4.4x performance boost) and AI-first strategy drive margin expansion and competitive edge.

- - Analysts project $3.3T enterprise value by 2026 as AI workloads scale, supported by OpenAI's $38B GPU deal and Bank of America's "Buy" rating.

- - Pre-earnings buying opportunity emerges with current P/E (34.2) below 5-year average and $297-$360 price targets reflecting AI-driven re-rating potential.

Amazon's stock has long been a barometer for the future of technology and commerce. As we approach 2026, the company's valuation re-rating potential is increasingly tied to the explosive growth of AWS and its AI-driven innovations. With AWS projected to grow revenue by over 30% year-over-year in 2026 and

in cloud computing, the case for a pre-earnings buy is compelling. This analysis unpacks how AWS's infrastructure expansion, silicon sovereignty, and AI-first strategy are reshaping Amazon's valuation narrative.

AWS: The Engine of Growth and Margin Expansion

AWS remains the crown jewel of Amazon's empire, with

and operating margins of 34.6%. The division's annualized run rate now exceeds $132 billion, and its infrastructure expansion is accelerating. in the past year alone, more than any other hyperscaler, and is on track to double its power capacity by 2027. Each gigawatt generates an estimated $3 billion in annual revenue, meaning could add $12–15 billion to AWS's top line.

This growth is not just quantitative but qualitative. AWS's custom silicon, such as Trainium3,

and 40% lower energy consumption compared to prior generations. These advancements position AWS to dominate the AI infrastructure race, where demand is shifting from experimentation to production. The Graviton5 CPU and Bedrock AgentCore in cost efficiency and scalability.

AI-Driven Valuation Re-Rating

Amazon's stock valuation metrics, while currently modest, are poised for a re-rating as AI adoption accelerates.

, Amazon traded at a trailing P/E of 33.1 and a P/S of 3.7. However, forward-looking metrics tell a different story. to outpace the market, with AWS contributing to a $3.3 trillion enterprise value by 2026. This is driven by AWS's 30%+ growth trajectory, , and improved e-commerce margins from automation and robotics.

A critical catalyst is Amazon's silicon sovereignty strategy. By developing proprietary AI chips like Trainium3, Amazon is reducing reliance on third-party solutions and capturing higher margins. This shift is already reflected in investor sentiment:

a "Buy" rating, emphasizing AWS growth as the core driver of Amazon's long-term value. Meanwhile, to supply hundreds of thousands of Nvidia GPUs via AWS underscores the scalability of Amazon's AI infrastructure.

The Pre-Earnings Buy Case

Amazon's stock is currently trading at a discount to its historical averages.

the five-year average, and its P/FCF of 239.6 highlights a disconnect between stock price and cash flow generation. However, this undervaluation is temporary. With AWS projected to grow at 30%+ annually and AI workloads transitioning to production, the market will likely reprice Amazon's multiples to reflect its dominant position in cloud and AI.

of $297, with some estimates reaching $360. This implies a 28% upside from current levels, driven by AWS's revenue growth, advertising expansion, and margin improvements. The key is to act pre-earnings, as Q4 2026 results are expected to showcase AWS's 30%+ growth and AI-driven efficiency gains.

Conclusion

Amazon's valuation re-rating is not speculative-it's a function of AWS's infrastructure dominance and AI-first strategy. As the cloud and AI markets converge, Amazon is uniquely positioned to capture both. For investors, the pre-earnings window offers a rare opportunity to buy into a company that is not just adapting to the future but defining it.

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