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Scrape Timestamp (UTC): 2025-10-01 11:30:39.182
Source: https://www.theregister.com/2025/10/01/gartner_ai_agents/
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Autonomous AI adoption stalls amid trust and governance crisis. Only 15% considering deployments and just 7% say it'll replace humans in next four years. 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." A recent study found that more than 40 percent of agentic AI projects would be cancelled by the end of 2027, with rising costs, unclear business value, and insufficient risk controls cited as factors. Former AI cheerleaders including Klarna and Duolingo reportedly switched back to humans after an attempt to swap meatbags for silicon resulted in a drop in quality. Even an AI evangelist such as Salesforce, which slashed thousands of customer support roles in the name of the technology, has produced figures showing that LLM agents aren't great at customer confidentiality or multi-step tasks. Other large companies are also looking to AI tech to trim staff. UK telecoms giant BT, for example, reckons that it can go beyond the 55,000 employees it wants to cut by 2030 thanks to "the full potential" of AI. Earlier this week, the German Lufthansa Group said it will eliminate 4,000 administrative jobs through "digitalization, automation, and process consolidation." However, reality and expectations continue to differ. A report in the Financial Times showed there were few signs of AI taking roles from humans, and McKinsey found that flooding an organization with AI agents rarely works; success depends on rethinking workflows and integrating the tech properly. Gartner notes today that the majority of leaders in its survey didn't expect AI agents to replace applications or workers in the next two to four years. "Only 12 percent strongly agreed AI agents would replace applications, and just 7 percent strongly agreed they would replace workers in that time frame," it said.
Daily Brief Summary
Gartner's survey reveals only 15% of organizations are considering or deploying fully autonomous AI agents, reflecting a cautious approach due to trust and security concerns.
A significant 74% of respondents identified AI agents as a potential new attack vector, indicating security risks are a major barrier to adoption.
Despite AI's potential, only 19% of leaders express high confidence in vendors' ability to prevent AI hallucinations, highlighting governance and maturity issues.
Companies like Klarna and Duolingo have reverted to human roles after AI deployments led to reduced service quality, signaling challenges in AI implementation.
Gartner predicts over 40% of agentic AI projects may be canceled by 2027, citing rising costs and unclear business value as primary factors.
Industry examples, such as Salesforce and BT, show mixed results, with some organizations cutting jobs but facing difficulties in achieving expected AI efficiencies.
The survey indicates that most leaders do not anticipate AI agents replacing applications or workers in the next two to four years, suggesting a slow adoption curve.