The emergence of agentic AI marks a significant evolution in artificial intelligence
The emergence of agentic AI marks a significant evolution in artificial intelligence, transitioning from reactive systems to proactive, autonomous agents capable of complex decision-making. Unlike traditional AI models that respond to specific prompts, agentic AI systems can anticipate user needs, adapt to dynamic environments, and execute multi-step tasks with minimal human intervention. This shift is propelled by advancements in large language models, reinforcement learning, and multimodal processing, enabling AI to handle diverse inputs and deliver personalized, emotionally intelligent interactions.
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Major tech companies are rapidly embracing agentic AI to enhance their platforms and services. Microsoft, for instance, is transforming into an "AI agent factory," integrating agentic capabilities across its suite of tools, including GitHub Copilot and Azure. At the Build 2025 conference, Microsoft highlighted the doubling of AI agent usage over the past year and introduced new features aimed at fostering an open "agentic web." Similarly, OpenAI's launch of Codex, a web-based coding agent, exemplifies the move towards AI systems that can autonomously write, test, and refine code, streamlining software development processes
The adoption of agentic AI extends beyond tech giants. Companies like Freshworks are leveraging these autonomous systems to drive enterprise growth, aiming to enhance productivity, customer engagement, and operational efficiency. Agentic AI's applications are vast, encompassing customer support automation, cybersecurity threat detection, business intelligence, and more. By enabling AI agents to operate independently, businesses can unlock new levels of efficiency and innovation
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However, the rise of agentic AI also brings forth challenges, particularly concerning accountability and trust. As AI agents gain more autonomy, determining responsibility for their actions becomes complex, raising legal and ethical questions. Despite these concerns, the momentum behind agentic AI suggests a transformative impact on various industries, heralding a future where intelligent agents play a central role in our digital interactions and workflows
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