Generative AI (GenAI) is setting to remain one of the most disruptive forces in enterprise technology. Gartner is outlining three major, actionable predictions that will shape how organizations design, deploy, and govern AI systems over the next four years. Despite broader slowdowns in venture capital, GenAI investment continues to accelerate, driven by large technology firms. This rapid pace of innovation presents both opportunity and complexity for IT leaders tasked with turning experimentation into sustainable business value.
Gartner’s analysis spans the full GenAI stack, and highlights a clear shift away from one-size-fits-all approaches toward more specialized, autonomous, and multimodal systems.
Key predictions include:
- Rise of domain-specific GenAI models. By 2027, more than 50% of GenAI models used by enterprises will be tailored to specific industries or business functions, up from roughly 1% in 2023. These models are typically smaller, more efficient, and less prone to hallucinations than general-purpose models. This makes them attractive for regulated or mission-critical use cases.
- Proliferation of agentic AI and multi-agent systems. Gartner expects agentic AI—systems that can act autonomously, learn from interactions, and make decisions—to dominate GenAI investment. By 2028, one-third of enterprise software applications projects to embed agentic capabilities, with AI agents handling at least 15% of daily work decisions. Collaboration between specialized agents will become essential for managing complex, cross-functional workflows.
- Multimodal GenAI as the enterprise default. Multimodal models that combine text, images, video, audio, and structured data are expected to transform enterprise applications. Gartner forecasts that by 2030, 80% of enterprise software will be multimodal, up from under 5% in 2024. This will enable richer context, higher accuracy, and more intuitive user experiences.
For technology leaders, the message is clear. Success with GenAI will depend less on adopting the latest model and more on aligning domain focus/agentic architecture. Along with that are multimodal capabilities and governance with long-term business strategy.
Source:
https://www.gartner.com/en/articles/3-bold-and-actionable-predictions-for-the-future-of-genai
