Agentic AI Set to Revolutionize Automation: Key Insights from Gartner 2025

Agentic AI Set to Transform Automation, But Enterprises Must Prepare

Agentic AI refers to automation systems capable of making decisions and taking actions with minimal human intervention. Known as iterative reasoning, it is expected to revolutionize automation by enabling autonomous systems to tackle complex, real-world problems.

At the recent Gartner IT Symposium, tech leaders highlighted that agentic AI is poised to become a central element in business operations. Gartner has identified it as the top tech trend for 2025, with major players like Google and Microsoft actively developing their agentic AI capabilities.

While analysts express optimism about agentic AI, they caution that practical applications may initially be limited. Ritu Jyoti, GVP of AI and Data Market Research at IDC, anticipates significant advancements in this technology in the near future, emphasizing that the full capabilities of autonomous agentic AI are still developing.

Challenges Ahead

Nvidia CEO Jensen Huang discussed the potential of agentic AI, envisioning a future where organizations utilize numerous AI workers similar to human employees. Despite this vision, many enterprises are not yet prepared for such a transformation, according to Jason Andersen, VP and principal analyst at Moor Insights & Strategy.

• Organizations must establish well-formed workflows and services to support agentic AI.
• Issues of accountability arise when an agent makes a mistake.
• Enterprise-scale solutions may not be deployed until 2026, with small-scale solutions emerging in 2025.

Current applications include agent-based solutions deployed by Salesforce and trials in Japan where AI agents conduct initial interviews for recruitment.

Risks of Premature Adoption

Agentic AI remains in a phase of practical experimentation. Dana Daher, practice leader at HFS Research, warns against rushing into this space, highlighting significant risks:

• Autonomous systems making critical decisions without appropriate oversight.
• Loss of human operational knowledge as processes become automated.
• Potential regulatory issues from poorly controlled AI systems.

To achieve true agentic AI, advancements in multi-agent systems, causal reasoning, and risk management frameworks are necessary. Daher emphasizes the need for careful consideration of what processes should be automated.

Emerging Opportunities

Vendors are beginning to support enterprises in their agentic AI journey. AI agents can enhance robotic process automation (RPA) systems, reducing the need for human intervention. Timothy Kim from UiPath describes agentic automation as a bridge between AI agents, bots, and human workers, allowing agents to make decisions independently.

New AI models, such as IBM’s Granite models, are also approaching greater autonomy. These models can break down requests into steps to resolve them independently.

Vultr has introduced a service enabling companies to set up agentic AI applications quickly, potentially in under 30 minutes, depending on their data infrastructure.

Andersen believes that agentic AI will provide enterprises capabilities that traditional language models cannot, offering better predictability and traceability.

The post Agentic AI Set to Revolutionize Automation: Key Insights from Gartner 2025 appeared first on BizStack — Entrepreneur’s Business Stack.

Disclosure: We might receive commission on purchases made through links on this page. Learn more.