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Agentic AI Explained How Autonomous AI Agents Work

June 6, 2025•Barbara Pazur•Original Link•2 minutes
ArtificialIntelligence
AutonomousAgents
TechInnovation

Agentic AI systems can independently make decisions and take actions without constant human input. Learn how these AI agents function and their potential risks.

Agentic AI represents a significant shift in artificial intelligence, moving from reactive tools to proactive systems capable of independent decision-making. Unlike traditional AI chatbots that require explicit instructions, agentic AI can break down complex objectives into manageable actions, making decisions and acting without human direction at every step.

A Zoox robotaxi on the road in Las Vegas

Key Differences from Generative AI

While generative AI creates content based on prompts, agentic AI adds autonomy with reasoning and planning capabilities. For example:

  • Generative AI might write a vacation itinerary
  • Agentic AI could plan the trip, book flights, and handle rebooking if flights are canceled

Real-World Applications

Agentic AI is already being deployed across industries:

  • Customer Service: Advanced chatbots resolving complex issues
  • Finance: AI agents verifying documents and approving loans
  • Healthcare: Systems flagging anomalies and suggesting diagnoses
  • Transportation: Self-driving vehicles like Zoox robotaxis

Google's new AI Mode is agentic AI in action

Trust and Risk Considerations

Experts highlight several concerns:

  1. Accountability: Who is responsible when autonomous systems make mistakes?
  2. Safety: Potential for harmful actions without human oversight
  3. Regulation: Need for detailed audit trails in sensitive industries

The Future of Agentic AI

While adoption will take time, the direction is clear - we're moving from AI that converses to AI that acts. As Peter Stone from Sony AI America notes: "We need to accept there will be mistakes, but they'll improve over time."

For more on AI developments, see CNET's AI Atlas.

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August 18, 2025•ABcontributor

Zscaler CAIO on securing AI agents and blending rule-based with generative models

Claudionor Coelho Jr, Chief AI Officer at Zscaler, discusses AI's rapid evolution, cybersecurity challenges, and combining rule-based reasoning with generative models for enterprise transformation.

ArtificialIntelligence
Cybersecurity
GenerativeAI
August 18, 2025•Bryan Wassel

Human-AI collaboration boosts customer support satisfaction

AI enhances customer support when used as a tool for human agents, acting as a sixth sense or angel on the shoulder, according to Verizon Business study.

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About the Author

Michael Rodriguez

Michael Rodriguez

AI Technology Journalist

Veteran technology journalist with 12 years of focus on AI industry reporting. Former AI section editor at TechCrunch, now freelance writer contributing in-depth AI industry analysis to renowned media outlets like Wired and The Verge. Has keen insights into AI startups and emerging technology trends.

Expertise

AI Industry Analysis
Startup Ecosystem
Technology Trends
Product Reviews
Experience
12 years
Publications
800+
Credentials
2
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