AWS, revoluciona la inteligencia artificial empresarial... La clave está en los "agentes inteligentes"

Artificial intelligence systems are gaining significant attention as they advance, and AWS Cloud Technology is targeting the next phase of enterprise artificial intelligence. During this year’s AWS re:Invent event, “agent artificial intelligence” emerged as the core architecture replacing traditional cloud strategies, shifting the discussion beyond mere model performance to how AI can be integrated into real business processes. Although this momentum has been building for several years, industry evaluations consider that this event marks the official start of a structural overhaul of AI architecture and the entire cloud infrastructure.

AWS new CEO Matt Garman stated: “80% to 90% of the value of enterprise artificial intelligence in the future will come from the ‘agent’ architecture,” positioning the agent concept as the core axis of the new cloud era. He emphasized that through a comprehensive tech stack—including scalable custom semiconductors, new model series, learning-based architectures, and operational runtimes—companies can build valuable intelligence systems. AWS designed the AI factory to accommodate the needs of a very small number of high-performance clients, which is an extension of this strategy.

This direction is not just a vision. AWS has proposed goals to go beyond AI assistance towards the evolution of “team member-style AI” capable of collaboratively handling overall organizational business. Swami Sivasubramanian, Vice President of the Agent AI division, explained: “Most AI is like an intern that needs to start from scratch every day; what we want is AI that can understand the work background over the long term.” Along this extension line of vision, new storage services like S3 Vector, capable of directly processing internal enterprise data, reducing latency, and increasing accuracy, are also included.

Leading companies are also very enthusiastic about this transformation. Girelock Partners partner Jerry Chen pointed out: “Cloud architecture has begun evolving from the traditional ‘cloud’ structure to a ‘cloud + AI’ structure,” emphasizing the need to prepare for a sovereign cloud environment driven by AI in the future. In this trend, AWS has also launched the Nova Forge platform, supporting cutting-edge model tuning across industries, demonstrating a move to accelerate model training based on enterprise-specific data.

The agent-based architecture is surpassing mere automation, spreading towards reimagining the overall customer experience. AWS Vice President Corinne O’Brien cited the “Just Walk Out” shopping tracking technology as an example: “A system that makes real-time decisions through visual reasoning in a fully non-identifiable state could meet diverse privacy protection needs in the future.”

This shift is also clearly visible among developer trends. Tools are moving from simple code assistance to integrated agent-type tools capable of handling everything from work planning to documentation and task execution. According to AWS Vice President Deepak Singh, the Kiro platform focuses on converting conversational instructions into clear specifications to quickly achieve outcome-level products.

The wave of transformation is also impacting the entire cloud ecosystem. Salesforce Vice President Nick Johnston said: “Customers want an open platform that can avoid vendor lock-in and activate data anywhere,” announcing the integration plan “Agentforce 360” with AWS. Oracle is also accelerating its multi-cloud strategy, while Snowflake is porting Cortex-based financial and security agents to AWS Bedrock Core, aiming to enhance intelligent analytics capabilities.

To ensure AI performance remains consistent across different environments, multi-cloud integration strategies are also being accelerated. Enterprises are freely migrating mission-critical data between clouds to effectively harness the potential of the evolving agent AI. User-centric customized insights are also being rapidly applied within such hybrid architectures.

Cloud infrastructure is being redefined. The system itself is shifting towards an AI-first architecture, where agent AI is no longer just a tool but is positioned as a “digital colleague.” Led by AWS and its partners, this trend is likely to establish a new benchmark for enterprise technology strategies.