As concerns grow surrounding the divide between AI hype and reality, a recent analysis from JPMorgan sheds light on this phenomenon. The analysis draws on data from the KPMG AI Quarterly Pulse Survey and reveals a significant contradiction in the current landscape of artificial intelligence deployment within large organizations, defined as those generating over $1 billion in annual revenue.
The findings indicate that deployment of agentic AI systems surged from 11% to 26% between 2025 and early 2026. While this represents a promising leap forward, it is essential to consider the broader context of AI engagement across enterprises, which remains more sluggish.
#What is the ‘Agentic Boom’ in AI?
JPMorgan refers to this evolving era within AI as the ‘Agentic Boom.’ This term aptly describes the transition from simple chatbot functionalities to sophisticated, autonomous AI systems capable of executing complex, multi-step workflows. The data collected through February 28, 2026, reinforces this trend, revealing that reasoning models now constitute over half of all AI interactions. Moreover, the complexity and length of the outputs generated by these systems have significantly increased, reflecting a growing demand for more advanced capabilities from organizations that adopt these technologies.
#Why is the Gap in AI Adoption Important?
Despite the notable increase in agentic AI deployment among leading companies, broader metrics for AI adoption across enterprises remain steady yet gradual. This trend is noteworthy for investors, as it suggests that while pioneering firms are making strides, the bulk of businesses, particularly those in mid-market sectors, are struggling to keep pace. The operational and resource-intensive nature of agentic AI systems, which require significant computing power and infrastructure investments, presents a formidable challenge for smaller enterprises.
Additionally, the recent analysis notably lacks any mention of blockchain or cryptocurrency advancements. This absence suggests that even as interest in the convergence of AI and decentralized technologies rises, JPMorgan's findings remain firmly rooted in traditional AI frameworks.
Investors should view this situation as a narrative where depth in AI capabilities is being realized within organizations already committed to its implementation while the overall enterprise landscape continues to show a steady path toward adoption.