Well written breakdown @musamolla . The key insight is spot on: generative AI creates, but agentic AI decides and executes. What we’re seeing with enterprises is that value now comes from stitching both layers together. GenAI interprets intent, drafts options, and synthesizes knowledge; agentic AI turns that into multi-step action with memory, tools, and feedback loops. The real shift isn’t autonomy alone but reliable orchestration—letting AI handle outcomes, not just outputs. At a21.ai, this hybrid pattern is already powering workflow automation and decision systems across finance, pharma, and ops. The convergence is where the true leap happens.
Raghav Sehgal
raghav2506
AI & ML interests
None yet
Recent Activity
commented on
an
article
20 days ago
Agentic AI vs Generative AI: Understanding the Next Evolution of Intelligence
commented on
an
article
20 days ago
Generative AI and applications in finance: The Next Frontier
commented on
an
article
20 days ago
Agent-to-Agent Communication: Time for Agentic Patterns
Organizations
None yet