OnDuring this year's AWS re:Invent 2025 conferenceAmazon CEO Andy JassyA conversation with internal employeesIn the interview, he shared his journey of leading the AWS team. He mentioned, "As long as you can persevere and stay on board, you might find yourself building something extraordinary with a group of people." This philosophy of "resilience" and focusing on "controllable factors" has not only become the cornerstone of AWS's success, but also seems to echo AWS's strategic shift in the current AI wave, moving from purely generative AI to more practical "AI agents."
Compared to the past emphasis on model computing power and parameter scale, the core keyword of this year's re:Invent event is undoubtedly "Agentic AI". AWS is attempting to address the real pain points of enterprises facing labor shortages, efficiency bottlenecks, and transformation pressures through a series of new services.
From large-scale language models to AI agent services: from "understanding what you say" to "helping you do things"
Before delving into AWS deployments, it is essential to clarify the fundamental differences between Large Language Models (LLMs) and AI Agents.
In simple terms, a large language model is like a "brain" with a vast amount of knowledge. It excels at understanding and generating text or images, but it is usually passive. An AI agent, on the other hand, adds "hands and feet" and "tools" to the "brain." AI agents can not only understand instructions, but also have the ability to plan, remember, and use tools, enabling them to autonomously complete complex tasks such as "checking inventory and placing an order" and "writing and deploying code."
However, this also brings new challenges: security, privacy, and compliance. When AI begins to "act," companies' biggest concern is that it might "go wild."
Therefore, this became the basis for AWS's launch.Amazon Bedrock AgentCore UpdateThe core value lies in the new "Policy" feature, which allows businesses to set behavioral boundaries for agents using natural language (e.g., prohibiting refunds exceeding $1000), while the "Evaluations" mechanism ensures continuous monitoring of agent performance, and the "Memory" feature allows agents to learn from past interactions, avoiding a first-time encounter every time.
Through these features, AWS aims to address the "uncontrollable" risks that enterprises are most concerned about when implementing AI agents.
Solutions to the Labor Shortage: AWS Cutting-Edge Proxy Services and AI Factory
In response to the global labor shortage, AWS's solution goes beyond simple automation; it empowers AI as a valuable "virtual member" of the team. This newly released...Cutting-edge agency services The (Frontier Agents) series, which includes Kiro (virtual developer), Security Agent, and DevOps Agent, is a concrete practice of this concept.
Kiro can autonomously fix bugs and collaborate across storage repositories, Security Agent can complete penetration testing within hours, and DevOps Agent can quickly diagnose the root causes of system failures. These agents do not replace humans, but rather free up more manpower to handle higher-value decisions, solving the dilemma of enterprises having "ideas but no manpower."
In addition, AWS launchedAI Factories ConceptThis involves directly integrating NVIDIA's top-tier computing power (GB300 NVL72) and AWS software into the customer's data center. This not only solves the data sovereignty issue but also allows enterprises to quickly train and deploy their own AI models and agents with "factory-like" scale and efficiency, pushing AI from the laboratory to the production line.
Market Trends: SMEs can also embrace AI; developers need to transform into "T-shaped" talents.
This wave of AI-powered agents will have a profound impact on the market:
• Empowering Small and Medium-sized Enterprises (SMBs):In the past, creating AI applications was extremely difficult, but with the advent of models like the Amazon Nova series...Offers high-performance optionsIn addition, the Nova Act simplifies website automation processes, enabling SMEs to leverage AI agents to handle tedious tasks such as customer service and order management, significantly reducing operating costs, and even...Nova Forge featuresProperly manage the operation of the model.
• The evolution of the SaaS model:Software services will shift from "providing tools" to "providing results." For example, companies like Salesforce and SAP have begun integrating agent-based AI to directly generate business results for their clients.
• The shift in the developer role:As Amazon's Chief Technology Officer Werner Vogels described, developers must...From "Renaissance polymath" to "T-shaped talent"With the assistance of AI tools such as Kiro, writing programs is no longer the bottleneck; the key lies in communication skills—not only communicating with people, but also knowing how to direct, verify, and optimize the output of AI agents.
Summary: Focus on controllability, create the extraordinary.
Returning to Andy Jassy's philosophy of "controlling controllable factors," in the current era of rapid advancements in AI technology and an uncertain future, companies cannot control the speed of technological iteration, but they can control "how to apply the technology."
AWS showcased a complete "toolkit" at re:Invent 2025—from the underlying infrastructure's Trainium 3/Graviton 5 custom processor computing power, to the mid-level...Amazon Bedrock Model StoreFrom the Nova series of custom-designed models to the upper-level AgentCore and cutting-edge agent applications, this allows enterprises and developers to transform AI agents into real productivity in a secure and controlled environment. This enables them to find their own rhythm in this AI transformation marathon and have the opportunity to build truly "remarkable" services.
