Replaced by others, or replaced others? It all depends on whether you know how to use AI agents (with AI agent industry guide download)

I can hardly believe that what used to sound like a laboratory research project can now be done in just 5 minutes. Even more incredible is that this is a new thing—building AI agents.

Just recently, Alibaba Cloud Bailian launched a powerful new service, a full-lifecycle MCP service, which allows you to generate, deploy, and manage an AI agent with one click, as fast as opening a blind box.

What is MCP? Don't be intimidated by this technical-sounding acronym. In essence, it's about making AI agents run fast, run stably, and make money. In the past, creating an AI agent required products, models, interface integration, and deployment considerations—a protracted battle. Now, with the MCP protocol and Agent creation, you can see your agent "come alive" within 5 minutes.

A few days ago, I spoke with the head of AI middleware at a major company, a core leader who "manages hundreds of billions of traffic annually and handles dozens of agent projects." He said something that left a deep impression on me: "We no longer consider building agents as "exploration." It's the standard configuration for all future businesses."

A friend who works in AI products also said that their company is redefining the term "product manager"—if you don't know how to build agents, you're not a product manager, you're an ancient relic. He added: "With the current trend, if you don't understand MCP, your AI colleagues might replace you at morning meetings in a couple of months."

This isn't just Alibaba's celebration; the entire industry is realizing that AI agents are not a concept, but the next generation of "apps." From conversational robots to enterprise assistants, from process automation to business management, agents are already working in various positions. The difference is whether you are still watching from the sidelines while others are already closing the loop.

So we created this AI Agent Industry Guide —The Key Engine Driving Enterprise Digital Transformation (hereinafter referred to as the "AI Agent Industry Guide") This is not to explain how powerful AI agents are, but to show you how to turn agents into leverage, ensuring you are not the first to be optimized in the future workplace where humans and agents coexist.

Stop asking "Will AI agents replace me?" The real question is: Will you use AI to replace others? After reading this guide, decide whether you want to be the master of AI agents or their sparring partner.

Don't mistake Siri and Google Assistant for "agents."

A true AI agent is more than just answering questions; it can understand tasks, plan paths, call tools, and execute closed loops. In short, it not only "understands human language" but also "does human work."

From "conversational assistants" that help you handle daily tasks to "multi-task executors" that independently complete sales, marketing, and data analysis, each agent has its own "areas of expertise" and "skill trees." Choosing the right application is more reliable than humans.

Don't think agents are just a combination of multiple models—the true soul lies in: large model capabilities + tool invocation capabilities + memory capabilities + state perception + task planning + ...

Yes, it has a "brain," "hands," and may even "hold grudges," making it more professional than some former colleagues.

👉 How do AI agents get on the job? Let's look at a practical case: AI intelligent sales assistant.

From collecting customer information, analyzing intentions, and automatically writing follow-up scripts to automatic CRM synchronization and intelligent execution, the AI sales assistant is a "digital clone of the sales position." Not only does it not slack off, but it also works 7x24 without interruption, directly boosting team ROI.

Not just the internet, but also healthcare, manufacturing, finance, and retail industries are deploying AI agents. A commonality is: whoever deploys first benefits first; whoever is still watching may be restructured.

AI agents are indeed powerful, but not omnipotent. The guide breaks down the difficulties and pitfalls in data security, algorithmic bias, and controllability. To use it well, first understand how it "crashes."

Welcome to open this guide. You may not be the first, but you can definitely understand how to use AI agents to get a raise, promotion, and avoid overtime earlier than most people. Don't wait until the agent "holds your morning meeting" to learn. It's time to upgrade from a tool user to an "agent operator."

Click on the "Read More" at the end of the article to get the AI Agent Industry Guide full version for free! We won't pressure you, we'll only help you succeed. Get on board quickly, or you won't even have the chance to "compete."