5 Predictions About Agentic AI From Gartner

Agentic AI is here and will continue its advance into work and daily life, experts say. But there are security concerns.

Agentic AI is to 2025 what GenAI was to 2024. It’s the latest artificial intelligence trend, and organizations are adopting agentic AI as part of their digital transformation goals.

According to the 2025 Connectivity Benchmark Report by MuleSoft and Deloitte Digital, 93 percent of IT leaders report intentions to introduce autonomous AI agents within the next two years, and nearly half have already done so.

Now, market research firm Gartner has released a new report predicting agentic AI adoption trends that extend beyond 2025.

5 Predictions On Agentic AI From Gartner

• Thirty-three percent of enterprise software applications will have integrated agentic AI by 2028.

• At least 15 percent of daily work decisions will be made using agentic AI, by 2028.

• One-third of “interactions with generative AI (GenAI) services will invoke action models and autonomous agents for task completion,” by 2028.

• Collaborative AI agents will be the next stage of agentic AI evolution, following AI assistants and simpler AI agents. These collaborative agents will “work synergistically with both humans and other agents, sharing knowledge and coordinating efforts,” according to Gartner. They are predicted to be prominent in scenarios involving supply chains as they can “coordinate tasks across multiple agents such as demand forecasting, production planning, inventory management, supplier coordination, or logistics and route optimization,” Gartner says.

• After collaborative agents, the industry will see “AI agent ecosystems.” These ecosystems “represent the final stage of agentic evolution as networks of diverse, specialized agents interact dynamically to solve multifaceted problems, adapt to environmental changes, and continuously optimize their collective performance,” according to Gartner. They are predicted to be used heavily in massive natural disasters where automated collaboration between responders, applications and systems are needed.

Gartner also outlined why there is such a frenzy for agentic AI. “Agentic AI addresses the limitation of traditional AI and GenAI, which tend to be passive and request-driven. Agentic AI, in contrast, applies AI inference to enable adaptive systems capable of independent action and decision making.

The potential of agentic AI to transform the way enterprises work and disrupt the technology status quo drives this trend.”

While there is an apparent desire to adopt agentic AI into work and daily life, some have cautioned about security implications.

Earlier this year, MES Computing spoke with Ian Swanson, the CEO of Protect AI, which offers AI and machine learning security.

Swanson spoke about one risk with agentic AI. “An agent makes an uncontrolled or unexpected decision that might lead to a security failure. Example, that could be an AI agent is carrying out automated incident response tasks and it incorrectly shuts down a critical production server, and it causes downtime, so the AI thought something wrong was happening, but it made an unexpected decision, and maybe it shut down something that was super critical,” he said.

“Now, the mitigation there is you can have [a] human in the loop, but you can also have tools like what Protect AI offers that can monitor these, that can put checks, that could put balances in there to make sure that [AI is] acting appropriately. So again, the risk was uncontrolled or unexpected decisions by the AI, and we have to figure out how we best mitigate that so it doesn’t do something that it should not do.”