Agentic AI may revolutionize business operations but faces challenges

Agentic AI is gaining attention for its potential to transform business operations, similar to how personal computers did in the 1990s. However, experts caution that the term "agent" is often overused, and the technology still faces significant challenges. Key issues include high energy demands and the need for quality data. Many businesses struggle with data quality, which is essential for effective AI performance. While AI agents can handle structured tasks, they are not yet ready for complex decision-making without human oversight. Experts suggest that businesses should focus on improving data management and AI integration. The development of energy-efficient AI models and reinforcement learning could enhance agentic AI's capabilities, but widespread adoption will take time.