More than 40% of agentic AI projects will be canceled by 2027 due to increasing expenses and inaccurate business value, according to Gartner in a report.
Salesforce and Oracle are two of the largest technology firms to implement AI agents, machines capable of acting autonomously to meet goals and make decisions, spending billions on the technology hoping to raise profit margins and eliminate costs.
Many vendors are performing “agent washing” – recasting products such as AI assistants and chatbots with minimal agentic ability, according to Gartner, which guesses that only around 130 of the thousands of agentic AI vendors are genuine.
“Most agentic AI projects are currently early stage experiments or proof of concepts that are generally hype driven and are frequently misapplied,” said Anushree Verma, Senior Director Analyst at Gartner.
“Most agentic AI proposals don’t have significant value or return on investment because their current models don’t have the maturity and agency to carry out complex business objectives or take deep/deliberate directions over time,” said Verma.
Gartner estimates at least 15% of daily work decisions will be made autonomously, via agentic AI, in 2028, up from 0% in 2024.
Moreover, 33% of enterprise applications will use agentic AI by 2028, up from less than 1% in 2024.
