Operations | Monitoring | ITSM | DevOps | Cloud

As AI adoption increases, the race to real, durable AI value intensifies. Almost every organization that can use AI is using AI — but one of the most troubling trends I’ve observed revolves around talent. Right now, most organizations use AI to increase internal efficiencies — do quick research, write quick emails, start a new project at the 50% mark rather than the 0% mark, etc. But some executives I’ve talked to are taking a more aggressive approach.

Imagine IT systems that fix themselves, customer service platforms that auto-resolve tickets, and organizations that detect and block fraud in milliseconds. This is not science fiction—it is the real-world impact of AI vs. Gen AI. While traditional AI drives automation and intelligent decision-making, Generative AI takes it further, writing reports, generating code, and crafting marketing campaigns in seconds. Together, they are transforming how industries operate in 2025.

Agentic AI is coming to financial services. Elastic provides the data foundation and tools to make it work. In a recent talk at Stanford University, Jamie Dimon, chairman and CEO of JPMorganChase, addressed the firm’s use of AI and ended with mentioning that agentic AI was the next frontier of AI at the firm, inferring it wasn’t ready to be deployed yet. Let’s break down why that may be the case and what the financial services industry can do to become more comfortable with agentic AI.