AI Agents and Data Lead 2025 Tech Trends
Gartner's latest Hype Cycle identifies AI agents and AI-ready data as the fastest-advancing artificial intelligence technologies. Both innovations have reached the "Peak of Inflated Expectations," signaling heightened industry interest and ambitious projections.
Understanding the Hype Cycle
The Gartner Hype Cycle methodology tracks technology maturity through five phases: Technology Trigger, Peak of Inflated Expectations, Trough of Disillusionment, Slope of Enlightenment, and Plateau of Productivity. This framework helps organizations assess adoption risks and opportunities.
Key AI Innovations
AI Agents
Autonomous software entities that perform complex tasks using large language models are transforming operations across industries. These agents can perceive environments, make decisions, and execute actions with minimal human intervention.
AI-Ready Data
Specialized datasets optimized for AI applications enhance model accuracy while reducing hallucinations. Data readiness requires new management approaches to ensure quality and context alignment.
Multimodal AI and TRiSM
Models processing multiple data types (text, images, audio) and AI Trust/Risk/Security Management solutions complete the top innovations. These technologies enable more robust applications while addressing ethical concerns.
Implementation Challenges
Gartner emphasizes that success requires business-aligned pilots, infrastructure benchmarking, and cross-functional coordination. Organizations must also evolve data practices to support AI scalability.
The findings will be explored at Gartner IT Symposium/Xpo conferences worldwide starting September 2025.