Autonomous AI adoption stalls amid trust & governance crisis
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Autonomous AI adoption stalls amid trust & governance crisis
"Enterprises aren't keen on letting autonomous agents take the wheel amid fears over trust and security as research once again shows that AI hype is crashing against the rocks of reality. Tech analyst Gartner looked at the next big thing in AI evolution - fully autonomous AI agents - and found that most IT application leaders are still avoiding the technology."
"The industry-wide survey of 360 bigwigs from organizations with at least 250 full-time employees found that just 15 percent were considering, piloting, or deploying fully autonomous agents. Around three quarters of respondents were piloting or deploying some form of AI agent in their organization, according to the Gartner's research. However, the figures indicate that few are willing to consider the next step - going fully autonomous."
"Only 19 percent had high or complete trust in their vendor's abilities to protect against AI hallucinations, and a whopping 74 percent worried that AI agents represented a new attack vector in their organization. This indicates a widening gap between the hype of autonomous AI and the reality enterprises face when trying to implement it. Max Goss, senior director analyst at the consultancy, said: "concerns around governance, maturity and agent sprawl continue to hamper the deployment of truly agentic AI.""
Gartner surveyed 360 IT leaders at organizations with at least 250 full-time employees and found only 15 percent were considering, piloting, or deploying fully autonomous AI agents, while roughly three-quarters were using some form of AI agent. Only 19 percent reported high or complete trust in vendors to prevent AI hallucinations, and 74 percent worried agents introduce new attack vectors. Concerns about governance, maturity, and agent sprawl limit deployments. More than 40 percent of agentic AI projects are expected to be cancelled by end of 2027 due to rising costs, unclear business value, and weak risk controls, and some firms have reverted to human staff after quality drops.
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