Agentic AI represents a significant evolution in artificial intelligence technology, enabling autonomous decision-making and task execution with minimal human oversight, according to new research from Gartner.
Market projections and potential impact: The integration of agentic AI into enterprise software is expected to surge dramatically in the coming years, transforming how businesses operate and interact with technology.
- Gartner forecasts agentic AI inclusion in enterprise software applications will grow from 1% today to 33% by 2028
- By 2028, AI agents could handle 20% of interactions currently managed through digital storefronts
- Approximately 15% of daily work decisions could be made autonomously through agentic AI by 2028, compared to zero in 2024
Technical capabilities and applications: Unlike traditional large language models (LLMs), agentic AI systems can operate independently and adapt to complex environments while pursuing defined objectives.
- These systems can autonomously examine data, conduct research, and complete tasks in both digital and physical environments through APIs and robotic systems
- Current enterprise products incorporating AI agent capabilities include Microsoft Copilot Studio, Azure AI Studio, AWS Bedrock, and Google NotebookLM
- A significant capability gap exists between current LLM-based assistants and fully autonomous AI agents, though this is expected to narrow initially for specific, narrowly-defined tasks
Emerging security challenges: Agentic AI introduces new cybersecurity risks that extend beyond traditional AI-related threats, requiring enhanced vigilance and security measures.
- The threat surface expands to include chains of events and interactions that may be invisible to human operators
- Key risks include data exposure along agent event chains and unauthorized or malicious coding logic errors
- Supply chain vulnerabilities could arise from third-party code and libraries used in AI agents
Risk mitigation strategies: Organizations must implement comprehensive security measures to safely deploy agentic AI technologies.
- IT leaders should prioritize educational initiatives to help staff understand inherent risks associated with AI agents
- Organizations should develop systems to detect and flag anomalous AI agent activities
- Implementation of preset enterprise policies and comprehensive mapping of AI agent information flows is crucial
Looking ahead: While agentic AI promises transformative benefits for enterprises, success will depend on developing robust governance frameworks and building trust in these autonomous systems, with initial adoption likely focused on narrow, well-defined use cases before expanding to broader applications.
Recent Stories
DOE fusion roadmap targets 2030s commercial deployment as AI drives $9B investment
The Department of Energy has released a new roadmap targeting commercial-scale fusion power deployment by the mid-2030s, though the plan lacks specific funding commitments and relies on scientific breakthroughs that have eluded researchers for decades. The strategy emphasizes public-private partnerships and positions AI as both a research tool and motivation for developing fusion energy to meet data centers' growing electricity demands. The big picture: The DOE's roadmap aims to "deliver the public infrastructure that supports the fusion private sector scale up in the 2030s," but acknowledges it cannot commit to specific funding levels and remains subject to Congressional appropriations. Why...
Oct 17, 2025Tying it all together: Credo’s purple cables power the $4B AI data center boom
Credo, a Silicon Valley semiconductor company specializing in data center cables and chips, has seen its stock price more than double this year to $143.61, following a 245% surge in 2024. The company's signature purple cables, which cost between $300-$500 each, have become essential infrastructure for AI data centers, positioning Credo to capitalize on the trillion-dollar AI infrastructure expansion as hyperscalers like Amazon, Microsoft, and Elon Musk's xAI rapidly build out massive computing facilities. What you should know: Credo's active electrical cables (AECs) are becoming indispensable for connecting the massive GPU clusters required for AI training and inference. The company...
Oct 17, 2025Vatican launches Latin American AI network for human development
The Vatican hosted a two-day conference bringing together 50 global experts to explore how artificial intelligence can advance peace, social justice, and human development. The event launched the Latin American AI Network for Integral Human Development and established principles for ethical AI governance that prioritize human dignity over technological advancement. What you should know: The Pontifical Academy of Social Sciences, the Vatican's research body for social issues, organized the "Digital Rerum Novarum" conference on October 16-17, combining academic research with practical AI applications. Participants included leading experts from MIT, Microsoft, Columbia University, the UN, and major European institutions. The conference...