Agentic AI to manage 15% of work decisions by 2028

Generative AI has captivated industries with its creative prowess. Still, agentic AI represents a shift in autonomy and functionality, redefining how AI systems interact with humans and the world around them. Its potential to reshape industries and introduce new efficiencies makes it the most disruptive innovation of 2025 and beyond.

What is Agentic AI?

Agentic AI systems are uniquely goal-driven, and capable of planning and executing complex tasks autonomously. Unlike traditional AI models that require explicit instructions, agentic AI can break down objectives into actionable steps, adapt to changing environments, and learn from outcomes to improve future performance. For instance, an agentic AI tasked with creating a website could independently design the structure, generate content, write code, and test for functionality without direct human intervention.

This chaining capability allows it to tackle multifaceted problems with efficiency. Gartner predicts that by 2028, agentic AI will autonomously handle 15% of work decisions, a remarkable leap from 0% today.

Why Agentic AI Stands Out

The excitement surrounding agentic AI stems from its broad applicability and transformative potential. It promises to revolutionize supply chain management, optimize workflows, and even manage complex logistics in business operations. In healthcare, agentic AI could serve as 24/7 health assistants, continuously monitoring patients, adjusting treatments, and predicting potential health issues. Its potential extends to cybersecurity, where it could detect and neutralize threats in real-time, and software development, where it could autonomously generate and refine code.

Agentic AI also offers scalability and personalization. These systems learn from user interactions, tailoring their strategies to individual needs, and can be deployed across industries to create significant economic impacts. However, this power also demands robust governance to address ethical, legal, and privacy challenges. 

AI governance platforms will play a pivotal role in ensuring agentic AI’s responsible use, minimizing ethical risks, and building trust.

Preparing for the Rise of Agentic AI

As industries prepare for agentic AI’s integration, several key steps are essential to maximize benefits while mitigating risks:

#1 Building ethical frameworks: Transparent guidelines must be established to ensure fairness and prevent misuse.

#2 Regulatory updates: Policies should address the unique challenges of autonomous systems, such as accountability and decision-making transparency.

#3 AI literacy: Organizations and individuals must invest in understanding agentic AI, fostering effective collaboration with these systems.

#4 Interdisciplinary Collaboration: Engineers, ethicists, policymakers, and sociologists must work together to address its societal impacts.

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The Broader Technological Context

Agentic AI is part of a broader technological ecosystem that includes advancements in energy-efficient computing, spatial computing, and ambient intelligence. For instance, energy-efficient AI systems will reduce the environmental footprint of computationally intensive tasks, while spatial computing promises to enhance workflows through immersive AR/VR technologies. 

Agenetic AI will enable autonomous systems to tackle challenges in different domains with intelligence and efficiency. Its potential to disrupt traditional workflows, increase productivity, and foster creativity is great. However, as with all transformative technologies, its adoption must be carefully managed to ensure ethical use and equitable access.

Key Takeaways

• Autonomy and Chaining: Agentic AI can independently break down complex tasks into smaller steps, execute them, and adapt to new information.
• Real-World Applications: Revolutionizing business operations, healthcare, cybersecurity, software development, and more.
• Scalability and Personalization: Tailored solutions with the potential to transform industries.
• Ethical and Regulatory Imperatives: Ensuring responsible development through governance platforms and policy updates.
• Future Outlook: Agentic AI represents a pivotal step in AI evolution, blending machine learning with strategic autonomy to redefine the boundaries of innovation.