Agentic AI is leading to the emergence of autonomous systems that learn, adapt, and communicate with one another. Its impact is anticipated to alter the landscape of work and ethical considerations substantially.

As we look to the future, agentic AI is slated to bring both rapid technological advancements and a societal transformation. This shift is happening at an unprecedented pace. Research firm Gartner predicts that ‘by 2028, 33% of enterprise software applications will incorporate agentic AI, up from less than 1% in 2024, allowing for 15% of day-to-day work decisions to be made autonomously.’

Unlike traditional AI, which relies on predefined rules, agentic AI evolves with experiences, making it capable of pursuing its own goals with minimal human intervention. This evolution enables systems to act independently, make decisions, and fulfill tasks while communicating directly with other AI agents.

The Driving Force: Large Language Models

A significant driver behind this growth is the sophistication of large language models (LLMs), which act as the cognitive engines for these autonomous agents. This technology empowers machines to engage with the physical world with immense intelligence, making it particularly valuable in industries grappling with labor shortages or hazardous conditions.

Challenges and Concerns Ahead

Despite its potential advantages, the rise of agentic AI raises security and ethical dilemmas. There is a pressing need for governance frameworks to ensure that these autonomous systems function safely and responsibly. Moreover, considerations regarding job displacement necessitate effective strategies for retraining and upskilling the workforce, as a collaboration between humans and intelligent machines emerges as crucial.

Stay Updated on Agentic AI Developments

To keep abreast of this evolving landscape, engage with ongoing coverage about agentic AI from Computerworld and other Foundry publications.