The technological revolution of Amazon is taking shape in Spain If you think the latest technological trends haven't reached Amazon, you're mistaken. Although they may not be visible to the user, much of the innovation transforming the online shopping experience is developed behind the scenes, and Spain plays a key role in this process. While giants like Apple, Google, or Meta often launch their innovations in the United States before expanding globally, Amazon has bet on its tech centers in Barcelona and Madrid to lead global advancements. In these hubs, hundreds of engineers design and scale functionalities that are eventually implemented worldwide, from the United States to Japan. An example is the operating system of the Kindle Scribe, the company's most advanced e-reader, developed in Spain under the direction of Jesús Díaz. Generative artificial intelligence is already transforming the way we shop on Amazon, although most of these changes occur quietly. It's not just about conversational assistants like Rufus, but also invisible improvements in search results, image presentation, or review synthesis. The goal is for the user to perceive a smooth and frictionless experience, which, according to Díaz, is a sign that everything is working correctly. Unlike other companies, Amazon does not have a traditional innovation department. Here, technology is developed to solve specific problems in the purchasing process. The work begins by imagining the final result, and if the idea is promising, development is initiated. In the Spanish hubs, deep learning and computer vision have been optimizing the platform for years. One example is the "Add to Cart" button from the search page, a function that seems simple but whose implementation required overcoming enormous technical challenges. It was the Madrid team that devised the solution, and today 94% of global searches display this button, saving time and effort for millions of users. Another notable advancement is the improvement in product image identification. The team led by José Miguel Grande uses AI models that transform images and texts into mathematical vectors, allowing the system to automatically select the most representative photos and eliminate irrelevant ones. This process, which would have taken over a century manually, is now done in real-time. Generative AI has also revolutionized review management. The automatic summary system, developed in Spain, allows users to access precise syntheses of opinions in multiple languages, adapting to the particularities of each market. Thus, a customer in Tokyo can read an AI-generated summary about a product, thanks to the work done in our country. Sellers also benefit from this automation. Previously, uploading a product required filling out dozens of fields; now, just a photo is enough for the system to identify characteristics like material, color, or pattern. This has democratized access to the platform, allowing small businesses to compete on equal terms. Automation has even reached logistics. The system can anticipate demand and send products to warehouses where they will sell the most, sometimes even before the seller imagines it. The real innovation is not in chatbots, but in data-driven operational efficiency. The latest trend is intelligent agents, autonomous programs that monitor the platform to detect and correct errors before they affect the user. This constant vigilance ensures a "Pixel Perfect" experience without human intervention, something that was previously unmanageable. The future of online commerce points towards greater integration of intelligent agents and platform compatibility. Walmart, for example, has opened its website to systems like ChatGPT, allowing users to make purchases through external assistants. However, challenges such as trust, multilingualism, and contextual understanding still exist. Meanwhile, Amazon and other giants continue to rewrite the rules of e-commerce from the shadows. The technological revolution is not always visible, but it is reflected in every order that arrives at our door.