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When several million AI Agents flood the world of work, how does software and ERP keep up with them? Surely, there have to be fundamental design changes. A world of AI Agents | How Agents will redesign Software | Mentor Sandy analyzes - Billion Hopes AI agents are rapidly moving from experimental tools to powerful autonomous systems capable of performing complex tasks with minimal human guidance. In this video, we explore the rise of AI agents, how recent advances in large language models and agent frameworks have made them dramatically more capable, and why this shift could fundamentally change how software, organizations, and digital infrastructure are designed. From coding agents that can build software to persistent agents that can operate continuously, the next wave of AI is moving beyond chatbots toward systems that can reason, plan, execute tasks, and interact with the digital world. In this video, we examine AI agents from a technical, architectural, and strategic perspective—what they are, how they work, and why they may become the primary users of software in the future. In this video, you will learn: • What AI agents actually are and how they differ from traditional chatbots • The core agent loop: Input → Reason → Plan → Act → Observe → Repeat • How modern agents operate inside safe execution environments and interact with tools, APIs, and command-line systems • The role of agent frameworks such as LangChain, AutoGPT, CrewAI, Microsoft AutoGen, Haystack, and emerging systems like OpenClaw • Why coding agents (Claude Code, Devin, Codex, Cursor, Replit and others) represent the first major wave of advanced agents • How agents are now expanding beyond coding into broader knowledge work • The emergence of persistent agents that can operate continuously with long-term context and memory • How organizations may deploy hundreds or thousands of agents per employee • Why AI agents could soon become the primary users of software systems • How this shift will force a redesign of software architecture toward API-first and agent-friendly systems • Why future tools will need to be built not just for humans, but also for autonomous agents • The emerging infrastructure ecosystem required for agents: compute environments, data access systems, agent identities, communication tools, payment systems, and governance frameworks This video is meant for: AI engineers • startup founders • product builders • CIOs • software architects • researchers • students building careers in AI • and anyone trying to understand where AI systems are heading next. If you want to understand why AI agents may reshape how software is built and how work gets done, this video provides a clear and balanced technical perspective. About the Mentor This session is led by Mentor Sandy (Sandeep Manudhane), Founder of Billion Hopes - AI for Real Impact, a platform dedicated to mentoring professionals, educating learners, transforming organizations, and helping policymakers adopt AI responsibly. With over three decades of teaching and mentoring experience, Mentor Sandy focuses on explaining complex AI developments in a clear, balanced, and human-centered way - cutting through hype to focus on what truly matters. Billion Hopes - AI for Real Impact https://billionhopes.ai