Gartner: Nearly Half of Enterprise Apps Will Soon Feature Task-Specific AI Agents

Forty percent of enterprise applications will be integrated with task-specific AI agents by 2026, up from less than 5% today, according to Gartner Inc. Meanwhile, as organizations accelerate digital transformation, agentic AI in enterprise applications will move beyond individual productivity, setting new standards for teamwork and workflow through smarter human-agent interactions.

Gartner forecasts agentic AI will drive approximately 30% of enterprise application software revenue by 2035, surpassing $450 billion, up from 2% in 2025.

“AI agents are evolving rapidly, progressing from basic assistants embedded in enterprise applications today to task-specific agents by 2026 and ultimately multiagent ecosystems by 2029,” said Anushree Verma, Sr Director Analyst at Gartner. “This shift transforms enterprise applications from tools supporting individual productivity into platforms enabling seamless autonomous collaboration and dynamic workflow orchestration.”

AI assistants are the precursor to agentic AI. They simplify tasks and interactions for users but depend on human input and do not operate independently. The most common misconception is referring to these AI assistants as agents, a misunderstanding fueled by widespread “agentwashing.”

“As AI agents begin acting independently and handle tasks ranging from routine development to complex incident response without human involvement, leaders must ensure strong security and governance,” added Verma.

Collaboration among AI agents will redefine enterprise applications as organizations move beyond single-purpose automation. By 2027, Gartner predicts one-third of agentic AI implementations will combine agents with different skills to manage complex tasks within application and data environments. By 2028, AI agent ecosystems are expected to enable networks of specialized agents to dynamically collaborate across multiple applications, allowing users to achieve goals without interacting with each application individually.

This shift will drive the need for new business models, greater transparency, dynamic pricing and increased governance to ensure ethical agentic AI operations.

Gartner estimates that by 2028, a third of user experiences will shift from native applications to agentic front ends, requiring new business models to avoid disintermediation.

Channel Impact^®
CIOs, channel partners, and other technology leaders must focus on creating seamless employee experiences by integrating AI assistants with robust APIs, enabling a shift from traditional application-centric interfaces.