Gartner has released its latest Hype Cycle report, looking into various aspects of artificial intelligence and how they are expected to develop over the next ten years.
AI agents and AI-ready data are the two fastest-advancing technologies on the 2025 Gartner Hype Cycle for artificial intelligence. These technologies are experiencing heightened interest this year, accompanied by ambitious projections and speculative promises.
Gartner Hype Cycles provide a graphic representation of the maturity and adoption of technologies and applications, and how they are potentially relevant to solving real business problems and exploiting new opportunities. Gartner Hype Cycle methodology gives a view of how a technology or application will evolve over time.
“With AI investment remaining strong this year, a sharper emphasis is being placed on using AI for operational scalability and real-time intelligence,” said Haritha Khandabattu, Senior Director Analyst at Gartner. “This has led to a gradual pivot from generative AI (GenAI) as a central focus toward the foundational enablers that support sustainable AI delivery, such as AI-ready data and AI agents.”
Among the AI innovations Gartner expects will reach mainstream adoption within the next 5 years, multimodal AI and AI trust, risk and security management (TRiSM) have been identified as dominating the Peak of Inflated Expectations. Together, these developments will enable more robust, innovative, and responsible AI applications, transforming how businesses and organizations operate, says Gartner.
What is AI TRiSM?
AI TRiSM plays a crucial role in ensuring ethical and secure AI deployment. It comprises four layers of technical capabilities that support enterprise policies for all AI use cases and help assure AI governance, trustworthiness, fairness, safety, reliability, security, privacy, and data protection, says Gartner.
“AI brings new trust, risk, and security management challenges that conventional controls don’t address,” said Khandabattu. “Organizations must evaluate and implement layered AI TRiSM technology to continuously support and enforce policies across all AI entities in use.”
