In a recent LinkedIn post, Lee McCabe discusses the emergence of Agentic AI, describing it as potentially the “first genuinely new thing in a while.” McCabe, a figure associated with Claymore Partners, shared his initial explorations with the technology, offering a vivid metaphor to capture its potential impact on operational inefficiencies.
The ‘Flying Monkeys’ Metaphor for AI Agents
McCabe uses a striking analogy to illustrate the power of Agentic AI in tackling burdensome tasks. He paints a picture of these AI agents as:
A swarm of flying monkeys you can point at all the annoying, repetitive work you keep pretending is “just ops”.
This imagery underscores McCabe’s view that Agentic AI could be a transformative tool for automating the mundane, often-resisted aspects of business operations that are frequently categorized under the broad umbrella of “operations” or “ops.” As Lee McCabe notes, the technology offers a novel approach to confronting work that individuals might otherwise avoid or defer.
Seeking Real-World Applications of Agentic AI
Beyond his initial impressions, Lee McCabe is keen to understand how others are engaging with this nascent technology. He poses direct questions to his network, seeking practical, real-world applications rather than theoretical demonstrations. According to McCabe:
Curious how everyone else is thinking about it. How are you playing around with agents right now? What’s actually working so far in the real world, not in a demo?
This call for practical insights highlights a critical phase in the adoption of new technologies: moving from conceptual understanding and lab experiments to tangible results in operational environments. McCabe’s inquiry suggests a desire to identify proven use cases and effective implementation strategies for Agentic AI.
The Significance of Agentic AI
McCabe’s framing of Agentic AI as “genuinely new” suggests he sees it as more than just an incremental improvement over existing AI solutions. The “flying monkeys” metaphor implies a level of autonomy and directed capability that can actively seek out and address problems, rather than passively responding to prompts. In Lee McCabe’s view, this proactive, task-oriented nature is what sets Agentic AI apart.
The post, tagged with relevant industry terms like #AI and #ValueCreation, indicates McCabe’s interest in the practical business applications of advanced artificial intelligence. His engagement with the topic reflects a broader trend of business leaders exploring how cutting-edge AI can drive efficiency and innovation. As Lee McCabe points out, the true test lies in its ability to deliver results beyond the controlled environment of a demo, making his call for real-world examples particularly relevant for practitioners and innovators in the field.
📝 About This Content
This article is based on insights shared by Lee McCabe on LinkedIn.
📅 Originally posted on February 14, 2026 | View original post on LinkedIn →