What is ‘Agentic AI’, called the next AI wave By Investing.com


Investing.com — Agentic AI, touted as the next major wave in artificial intelligence, is poised to redefine the technology landscape and its applications.

According to BofA Global Research analysts, this new generation of AI surpasses current generative AI tools, such as chatbots and copilots, by introducing autonomous, decision-making agents capable of executing complex tasks. without clear human instructions.

Agentic AI refers to a class of advanced foundational models that act as operating systems for autonomous agents.

These agents have enhanced reasoning ability and the ability to take independent actions to achieve specific goals.

Unlike previous iterations of AI, which primarily responded to predefined inputs, Agentic AI is proactive.

It can plan, learn from its environment, and interact with other systems to complete tasks from software engineering to logistics, often with minimal human intervention.

The emergence of Agentic AI flags the astonishing speed of AI evolution. Just two years after the debut of ChatGPT and the widespread adoption of generative AI, this third wave marks a shift towards systems that are not just tools but autonomous collaborators.

BofA suggests that this transition outlasts previous waves of technology, such as the adoption of personal computers and the internet.

The implications of Agentic AI are huge. Fully autonomous swarms of digital agents and robots could revolutionize industries that rely heavily on human labor, sparking a “revolution in corporate efficiency.”

Sectors such as manufacturing, customer service, logistics, and healthcare will benefit greatly.

For example, the robots integrated in the warehouses of companies such as Amazon (NASDAQ:) and DHL have already shown the potential of such technology, achieving greater efficiency and cost-effectiveness.

Additionally, the ability of Agentic AI systems to autonomously handle complex, open-ended tasks may facilitate the deployment of AI in roles that traditionally require high levels of human expertise and judgment.

This includes not only routine operational tasks but also more specialized functions in fields such as biopharma, education, and cybersecurity.

While Agentic AI offers transformative benefits, its rapid adoption also raises concerns. Changing jobs, especially in fields that rely on physical and mental labor, is a potential setback.

For example, BofA analysts noted that within eight months of ChatGPT’s launch, freelancing tasks related to writing and coding witnessed a significant decline.

The expansion of Agentic AI capabilities into physical domains—such as construction, landscaping, and nursing—could exacerbate this trend.

Conversely, the rise of Agentic AI may spur innovation and create new economic opportunities. Thousands of AI-focused startups are expected to emerge, which will use advanced technologies to introduce scalable solutions to industries.

This wave of “AI dot-com” businesses could change business models and create new job categories in the next decade.

Despite the advent of Agentic AI, the AI ​​revolution has yet to reach its peak. Instead, AI is entering a supercycle of innovation, where advances in the field drive the development of increasingly sophisticated applications.

Global economic growth will undergo unprecedented changes as this wave unfolds, resulting in a renewed workforce, new business models, and improved productivity.





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