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Amazon’s AI Bets and Cost-Cutting Measures Pay Off, Boosting Stock by 5%

Shares of Amazon surged over 5% in after-hours trading on Thursday after the company reported stronger-than-expected third-quarter earnings. Amazon announced earnings per share of $1.43, alongside revenue reaching $158.9 billion, surpassing analyst projections of $1.14 per share and $157.2 billion in revenue, according to FactSet.

Key Financial Highlights

  • North American Sales: Amazon’s North American segment recorded a 9% year-over-year sales increase, totalling $95.5 billion.
  • AWS Growth: Amazon Web Services (AWS), the company’s cloud unit, posted $27.5 billion in revenue, marking a 19% rise compared to the same period last year.
  • Stock Movement: Although Amazon’s stock initially fell over 3% on Thursday before earnings were released, it rebounded significantly in after-hours trading. So far, Amazon shares are up almost 24% year-to-date.

Background on Amazon’s Strategy

Amazon’s recent efforts include major cost-cutting moves, guided by CEO Andy Jassy, to streamline operations since 2022. This restructuring has led to over 27,000 layoffs and the closure of initiatives such as Amazon’s telehealth and same-day delivery services. Despite these reductions, Amazon is doubling down on other key areas, like a $52 billion investment in nuclear energy to support data centers in Virginia, Mississippi, and Ohio. The company is also moving forward with **Project Kuiper**, aiming to build a satellite network of 3,236 units to broaden internet access worldwide—a venture projected to involve over $10 billion in launch costs across five years, according to analysts from Wedbush Securities.

Amazon’s Market Reach

July’s Prime Day achieved “record-breaking sales,” while the introduction of Amazon’s AI-powered shopping assistant, **Rufus** was rolled out to U.S. customers last month. Notably, Amazon had slightly missed expectations in the previous quarter and cautioned that intense news cycles could distract customers—a factor cited by CFO Brian Olsavsky during the second-quarter earnings call. Despite these challenges, the company’s annual revenue is expected to remain strong.

Noteworthy Figures

Amazon’s market capitalization has reached $1.96 trillion, making it the fifth-largest company globally, trailing behind Apple, Nvidia, Microsoft, and Google. Meanwhile, Jeff Bezos, who served as Amazon’s CEO until 2021, holds a net worth of $204.1 billion, much of which is tied to Amazon’s stock. Market fluctuations ahead of Amazon’s earnings report momentarily decreased Bezos’ wealth by around $6 billion. Bezos ranks as the second-richest American, after Elon Musk, on the Forbes 400 list.

Mirendil Signs $100 Million Google Cloud Deal To Advance Self-Improving AI

AI startup Mirendil has signed a multi-year agreement worth more than $100 million with Google Cloud to secure computing infrastructure for its self-improving AI research.

The partnership reflects growing competition among AI companies to lock in access to high-performance computing, while cloud providers race to attract promising startups developing next-generation AI models.

Backing The Next Stage Of AI Research

Mirendil plans to use Google’s Tensor Processing Units (TPUs), Nvidia GPUs and managed training infrastructure to develop AI systems capable of improving their own performance over time.

Known as recursive self-improvement, the concept focuses on building AI that can refine its knowledge and capabilities with minimal human intervention. The technology is attracting growing interest across the industry, with several startups and leading AI labs exploring similar approaches.

According to co-founder and Chief Executive Behnam Neyshabur, the long-term goal is to develop AI that can automate scientific research and accelerate discoveries in fields such as medicine, biology and materials science.

Compute Capacity Becomes A Strategic Asset

Training increasingly advanced AI models requires enormous computing resources, making long-term infrastructure agreements a critical competitive advantage.

Mirendil said Google’s combination of TPUs and GPUs allows workloads to be matched with the most suitable hardware, improving efficiency while reducing costs for customers.

For Google Cloud, the agreement strengthens its position in the race to provide infrastructure for frontier AI developers, while giving the company exposure to one of the industry’s emerging approaches to next-generation artificial intelligence.

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