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

by THEFUTURE.TEAM

November 1, 2024

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.

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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.

The Future Forbes Realty Global Properties

Meta Unveils 816 Billion-Parameter AI Model For Mac, But It Requires 1TB Of RAM

by THEFUTURE.TEAM

October 16, 2026

Meta has introduced what it describes as the most capable open-weight AI model available in the United States, making a strategic bet on Apple’s Mac ecosystem. The release reflects the company’s ambition to strengthen its position in open AI while bringing advanced models into professional development and creative workflows.

A Powerful Model With High Hardware Requirements

Called Muse Spark Open, the model has 816 billion parameters and a context window of 1 million tokens. Meta said benchmark results published on Thursday show it outperforming other widely used open-weight systems across key evaluations.

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Natively multimodal, Muse Spark Open is designed for complex coding and agentic tasks, extending beyond conventional chatbot use. However, local deployment requires substantial computing power. According to Engadget, the model needs at least 1TB of RAM, with the best performance expected on a Mac Studio equipped with Apple’s M5 Ultra chip. These requirements may limit local use to developers and organisations with access to high-end hardware.

Built For Real-World Development

Meta has paired Muse Spark Open with Muse Code, its AI coding terminal, and tested it across agentic workflows. In one project, the model helped develop a Mastodon client, handling bug fixes, new features and the build process.

The company also deployed the model in DaVinci Resolve, the professional video-editing platform, where it reviewed and cropped footage. These examples demonstrate Meta’s aim to position open-weight AI as a tool for practical production work, from software development to creative tasks, rather than just research demonstrations.

The Strategic Case For Open-Weight AI

Open-weight models give developers and organisations greater flexibility to customise AI, integrate it into internal tools and build specialised workflows. Depending on deployment, they can also reduce costs and provide more control over infrastructure than relying entirely on proprietary services.

However, access to model weights does not eliminate the cost of running advanced AI. Muse Spark Open’s reported memory requirements could make API access a more practical option for many developers than local deployment.

Expanding Access Beyond Mac Hardware

Meta is making Muse Spark Open available through multiple API platforms, allowing developers to use the model without running it on their own machines. This broadens access beyond users with high-end Mac hardware while retaining the option of local deployment for those able to support it.

The release combines Meta’s push to strengthen its position in the open-weight AI ecosystem with a focus on professional users. Wider adoption will depend on the model’s performance, practical usefulness and the resources required to run it.

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