Shakudo：2025企业AI智能体就绪度指南（英文版）（15页）.pdf

1、 The enterprise is at a historic inflection point.For the past decade,artificial intelligence has been primarily predictive,analyzing vast datasets to inform human decisions.It has been a powerful analytical tool.Today,we are witnessing a paradigm shift to productive AIautonomous systems,or AI agent

2、s,that do not just analyze the past but actively take steps to achieve future goals.This marks the transition from AI as a tool to AI as a digital workforce,a change poised to redefine productivity and competitive advantage.The scale of this transformation is unprecedented.The global agentic AI mark

3、et is projected to surge from USD 5.26 billion in 2024 to nearly USD 200 billion by 2034,reflecting a compound annual growth rate of over 43%.This is not a distant forecast;it is an immediate reality.According to Gartner,by 2026,40%of enterprise applications will feature task-specific AI agents,a dr

4、amatic leap from less than 5%in 2025.A May 2025 survey by PwC confirms this urgency,revealing that 79%of companies are already adopting AI agents,and 88%plan to increase their AI-related budgets specifically because of their emergence.To capitalize on this shift,leaders must first understand what an

5、 AI agent truly is.An AI agent is an autonomous,goal-oriented system capable of multi-step reasoning,planning,and interacting with a wide array of digital tools,data sources,APIs,and even other agents to accomplish complex tasks with minimal human intervention.This capability distinguishes them from

6、 simpler AI assistants or chatbotsa misconception Gartner has termed agentwashing.An assistant might answer a question;an agent will execute the multi-step workflow required to solve the underlying problem.However,despite immense executive enthusiasm and investment,a dangerous readiness gap has emer