AI Agent · Claude · India · Rest of World
The agentic divide: Why “good enough” AI isn’t enough to survive the new economy
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Since OpenClaw burst onto the scene as Clawdbot last November, individuals and businesses have embraced artificial intelligence agents to write code, send emails, run a shop, and more.
Key facts
- AI-powered agents and robots could generate about $2.9 trillion in economic value per year in the U.S. by 2030, McKinsey said in a report last year: “Work in the future will be a partnership
- The Indian government aims to provide personal AI agents to some 50 million Hindu pilgrims at the months-long Kumbh Mela festival next year, and eventually deploy agents to each of its 1.4 billion
- The Kumbh Doot, doot means messenger in Hindi, agentic AI framework will be a voice-first agent that can operate in more than 20 Indian languages, and coordinate with civic, transport, health
- It’s about decentralization and democratization of AI,” Ramesh Raskar, an associate professor at the Massachusetts Institute of Technology who leads Project Nanda, a foundational infrastructure
Summary
The gap between those who can access high-quality AI agents and those who cannot is becoming a major source of global and economic inequality. By automating complex workflows for a fraction of traditional labor costs, well-resourced firms and individuals can secure more benefits. Government-led initiatives in countries like India aim to democratize AI for the masses, but face risks of surveillance and sudden revocation of access. AI agents are built on top of large language models, and can reason and take actions to complete tasks on behalf of users.