Greater than 40% of agentic AI initiatives can be discontinued by the tip of 2027 on account of rising prices, restricted enterprise worth, or inadequate danger administration, in keeping with analysis agency Gartner.
“Most agentic AI initiatives proper now are early stage experiments or proof of ideas which are largely pushed by hype and are sometimes misapplied,”
stated Anushree Verma, Senior Director Analyst at Gartner.
“This could blind organisations to the true value and complexity of deploying AI brokers at scale, stalling initiatives from transferring into manufacturing. They should reduce by way of the hype to make cautious, strategic selections about the place and the way they apply this rising know-how.”
A Gartner ballot performed in January 2025 amongst 3,412 webinar contributors revealed that 19% of respondents stated their organisation had made important investments in agentic AI, whereas 42% reported conservative investments.
An additional 8% had made no investments, with the remaining 31% both undecided or adopting a wait-and-see strategy.
Gartner additionally highlighted a rising pattern of “agent washing”, the place distributors rebrand present instruments, reminiscent of AI assistants, robotic course of automation (RPA), and chatbots, as agentic AI, regardless of missing substantial agentic performance.
The agency estimates that solely round 130 distributors within the present market genuinely supply agentic AI capabilities.
“Most agentic AI propositions lack important worth or return on funding (ROI), as present fashions don’t have the maturity and company to autonomously obtain complicated enterprise targets or comply with nuanced directions over time,”
Verma stated.
“Many use instances positioned as agentic at this time don’t require agentic implementations.”
Regardless of present limitations, agentic AI is considered as a big step ahead in AI improvement.
Gartner initiatives that agentic techniques might assist enhance useful resource use, automate extra complicated processes, and introduce new types of innovation past typical bots or assistants.
By 2028, Gartner expects that at the very least 15% of on a regular basis office selections can be made autonomously by way of agentic AI, up from none in 2024.
It additionally forecasts that 33% of enterprise software program purposes will embody agentic AI options by 2028, in comparison with fewer than 1% in 2024.
Gartner recommends that organisations solely pursue agentic AI the place it delivers measurable worth. Integrating agentic techniques with present infrastructure might be technically demanding, typically disrupting operations and necessitating pricey modifications.
In lots of situations, redesigning processes from the bottom up might supply a extra viable strategy.
“To get actual worth from agentic AI, organisations should concentrate on enterprise productiveness, reasonably than simply particular person activity augmentation,”
Verma famous.
“They will begin by utilizing AI brokers when selections are wanted, automation for routine workflows and assistants for easy retrieval. It’s about driving enterprise worth by way of value, high quality, velocity and scale.”
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