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In May, Insight Partners discussed an impending shift in enterprise architectures toward AI Agents. In the six months since that article came out, we have monitored actual agentic deployments across companies, noticing the differences in use case complexity, the tradeoff of buying function-specific Agents versus building custom agentic workflows, and the variety in how value is measured and attributed. We spoke to builders, enterprises, end users, and researchers to get a deeper understanding of where Agents stand today, including: 🤖 The state of the AI Agent ecosystem 📊 An updated AI agents market map 💡 Agent end-user deployments: Examples, challenges, and considerations 💸 The economics of agents 💻 Considerations for enterprises 🔨 Considerations for builders Written by Managing Director Praveen Akkiraju, VP Sophie Beshar, Director Ash Tutika, Hunter Korn, Ethan DeSilva, and Christopher Gyra, see how the AI Agents space has already evolved: https://lnkd.in/e48KNgeM

These are the AI-focused companies poised to shake up logistics. 🚚 Did I miss anyone? As a sector, logistics has always been a sprawling, complex puzzle. But AI is the critical missing piece, representing a $79 billion opportunity for startups in these areas: → Back-office use cases (a $22 billion opportunity for LLMs) → Route optimization and planning (a $30 billion opportunity for LLMs and ML) → AI dashcams (a $13.6 billion computer vision opportunity) → Warehouse robotics (a $13 billion market opportunity in both LLMs and computer vision) Read the latest analysis from me, Leo Lu, and Jaya Gupta, in the comments.