代理型AI时代的制胜之道

Agentic AI isn’t just a powerful new tool—it’s a transformativejuggernaut that requires you to reimagine how work gets done. Executive Summary Imagine achieving a 10x leap in productivity without hiring a singleadditional employee. It sounds impossible, but it’s exactly what agentic AI is designed to do. Radicalinnovation, exponential productivity, next-level growth—they’re all brought withinreach by these digital workers capable of executing multi-step processes with minimalhuman supervision, in tight collaboration with humans and other agents. But doing sorequires organizations to fundamentally rethink how work gets done in an agentic AIworld—a tipping point for the future of work. Because agentic AI isn’t just the latest fleet of chatbots and AI pilots. It is a newapproach to work. Workflows, roles, and organizational structures will need to bereassessed and redefined by any organization expecting to gain a competitiveadvantage from agentic AI. Enter the Human-Agentic Workforce: Humans and AI agents working in concert. Introduction From the ground up It’s often said that if very old cities were to be built today, they would be designedentirely differently—different street grids, public transportation systems and routes,infrastructure layers, and so on. For practical reasons, city governments instead justwork around these suboptimal, outdated elements. In an agentic AI context, most organizations can be viewed as the equivalent of an oldcity. They are often constrained by the weight of busywork, inefficient work processes,workarounds, outdated organizational structures, and cultural inertia. Add AI agentsto this environment and expect to merely replicate the inefficiencies andshortcomings of the organization at a different scale. That’s the danger of taking anincremental adoption approach to agentic AI—eventually the organization will simplyadd an agentic layer to an outdated approach to work itself. The AI evolution:From tools to transformative force GenerativeAI Traditionalautomation AgenticAI Tools for individualproductivity(like content creation) Autonomous systemsthat orchestratemulti-step processesacross workflowsthrough human-agentcollaboration (humans onthe loop) rather thanhuman micromanaging(in the loop) Rules-based systemsthat handlerepetitive tasks Avoiding this outcome to realize the full, true potential of agentic AI requiresorganizations to address three core questions: 2.How do we redesignwork, roles, anddecision-makingparadigms to alignwith this future? 3.How will we ensure ourcultural, technological,and operationalreadiness to enable anew system of work? 1.What does anintegrated human+ AI agent workforcelook like? Those are big questions with equally significant implications. Are they reallynecessary? Yes—because agentic AI doesn’t just digitize information, it digitizes theentire system of work. Intelligent agents act with autonomy, and human oversight ofthis technology shifts from execution to orchestration. Humans and AI agents need towork in concert—and that is fundamentally different than any other moment in thehistory of work. As leaders in organizations begin to recognize and embrace the radical promise ofagentic AI, they can expect to encounter a range of familiar, deep-rooted barriers—starting with structural inertia, cultural resistance, and a lack of strategic readiness.This is the reality of operating in a world at a tipping point—where technologicaladvances consistently outstrip most organizations’ ability to adapt and scale. Which iswhy leaders cannot afford to take the same old incremental approaches to adoptingagentic AI, dabbling around the edges, experimenting here and there, and hoping forsome wins that can be replicated elsewhere. Instead, this is the moment for bold leadership. Your next moveon agentic AI will drive transformation or delay it. It’s time to gethuman-agentic—from the ground up. Making the leap: 5 key shifts to enablethe Human-Agentic Workforce Can humans and AI agents really work together as a team?Absolutely—in fact, soon it will be an imperative for competitiveadvantage, given how quickly agentic AI capabilities are evolving.But it won’t happen until organizations reassess, rethink, andreengineer traditional models for how work gets done. If that sounds like a big deal, it is—but it’s also entirely within reach.It will require confronting outdated paradigms of control, capacity,and incremental change. Laying the groundwork for human-agentic change starts with these five shifts: Technology-led transformation→Human-centrictransformation Most organizations today treat AI as another technology initiative, along thelines of the move to cloud computing. But agentic AI is not an IT program.It’s a tool for workforce and business transformation—and that requires afundamentally different approach. How will your organization use AI toamplify human potential, not just automate processes? The answerrequires flipping the standard focus: