AI智能体圣经：智能体颠覆性变革终极指南

The AI agent landscape is evolving rapidly, with500+ startups founded since 2023. Here is our topAI agent research — featuring the trends, key AI agents are defining the next wave of tech innovation. Every big tech company and a rapidly growing private market landscape are building agentofferings targeting horizontal use cases and industries from financial services to For enterprises across sectors, one question is becoming unavoidable:Which AI agentstrategies will separate market leaders from those left behind? Enterprises are under pressure to build and implement agents as these LLM-based systemschange how companies operate, hire, and scale. Across 9 reports, discover where startup innovation is pointing, promising partnership andacquisition targets, and key trends to watch based on CB Insights predictive intelligence. AI Agent Bible Foreword Manlio Carrelli CEO of CB Insights Seven years ago, I watched companies struggle with primitive chatbots that broke the Today, those early systems have given way toAI agents, which in 2 short years have movedfrom experiment to enterprise priority. I’m seeing agent mentions on earnings calls10xsince 2023. The velocity is unlike anything we’ve tracked before. What strikes me most: agents are climbing the value chain faster than any technology I’veseen. They gained traction in customer service – which made sense, given the sector’s earlyAI adoption.82% of organizations we surveyed in June 2025said they will be using AI agentsin customer support in the next 12 months. But now they’resupporting clinical decisionsat This is why25% of AI agent startups founded since 2023are already deploying, achievinglevels of commercial distribution that previously took startups 5+ years, according to ourCommercial Maturity scores. The momentum is accelerating. Among the1,500+ tech marketsCB Insights tracks,fiveofthe top 10 by deal activity in 2025 are agent-related.One in five new unicornsis buildingagent technology. Half of thetop 20 revenue-generating agent startupsdidn’t even exist three But here’s what I keep telling our enterprise clients:agents are only as good as the data theyrun on. The real competitive advantage isn’t in the AI – it’s in operationalizing accurate, That’s where the roadblocks are. Enterprises understand agents matter, but they’re strugglingwith integration complexity, security concerns, and vendor sprawl. The opportunity is The research and data that follows breaks down this rapidly evolving landscape by vertical,maturity, and momentum.Remember: in the age of AI agents, the edge doesn’t live in the Those who get this right will shape the economy agents are creating. Predictive Intelligence on Private Companies With CB Insights, you see your next move – first. Rare data straight from companiesbuilding the future. Powerful AI that automates the analysis. AI Agent Bible Table of Contents Outlook on AI agents 6 AI agent predictions looking into 2026 The AI agent ecosystemThe AI agent market mapThe AI agent tech stack 13 AI agents make inroads across enterprise workflows Y Combinator’s 2025 Spring batch reveals the future of agentic AI31Building the agent economy: How cloud leaders are shaping AI’s next frontier36 Industry-specific applications gain momentum 3 markets fueling the shift to agentic commerceThe industrial AI agents & copilots market map Additional resources AI Agent Bible Outlook on AI agents 2025: Agents with guardrails An AI agent is an LLM-based system designed to independently perform tasks on a user'sbehalf by reasoning, planning, leveraging memory, and interacting with external tools and Most agents today operate within constrained environments, utilizing structured workflowsand “guardrails” to complete specific objectives while retaining some decision-making As foundation model capabilities improve, agents are expected to become increasingly Beyond 2025: Fully autonomous agents Agents will operate without human involvement, with more sophisticated decision-making, Looking into 2026, watch for new form factors outside of the copilot/chatbot interface that AI Agent Bible Early indications of this include “AI-native” workspaces — tools and platforms built from theground up around AI capabilities, rather than layering AI features on top of a traditional “ AI agents are nowhere near their final form.What we mean is this: today we’re in a “copilot”era where we get outputs via AI chat. But agents are already transforming into something morelike a superpowered instrument or tool. Tools shape the work we do, so an AI supertool will In enterprise, the copilot model has helped in areas where knowledge work is both routine andhigh-stakes, like support, training, onboarding, and compliance.But the next profound shift willbe for agents to cease waiting for input, instead acting as proactive collaborators and Over time, enterprises that embrace AI supertools as core learning systems will find theircultures and capabi