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Autonomous AI adoption is stalled due to concerns over trust and security. While some companies are optimistic about the potential of this technology, many more are hesitant to adopt it. As a result, the benefits of autonomous AI may not be fully realized until we address these concerns and develop effective governance structures.
Only 15% of enterprises are considering, piloting, or deploying fully autonomous agents.Conferences around governance, maturity, and agent sprawl hinder the deployment of truly agentic AI.More than 40% of agentic AI projects will be cancelled by 2027 due to rising costs, unclear business value, and insufficient risk controls.The reluctance of enterprises to adopt autonomous AI is also evident in their use of AI technology to trim staff, with few signs of AI taking roles from humans.Only 12% of leaders strongly agreed that AI agents would replace applications, and just 7% strongly agreed they would replace workers in the next two to four years.
Autonomous AI adoption has been hailed as a revolutionary technology promising to transform industries and revolutionize the way businesses operate. However, a recent survey by tech analyst Gartner has revealed that enterprises are not keen on letting autonomous agents take the wheel due to concerns over trust and security. The survey of 360 bigwigs from organizations with at least 250 full-time employees found that only 15% were considering, piloting, or deploying fully autonomous agents.
This indicates a widening gap between the hype surrounding autonomous AI and the reality enterprises face when trying to implement it. While around three quarters of respondents were piloting or deploying some form of AI agent in their organization, few were willing to consider the next step – going fully autonomous. This lack of enthusiasm for full autonomy is largely due to concerns over governance, maturity, and agent sprawl.
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." The study also found that more than 40% 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.
The reluctance of enterprises to adopt autonomous AI is further underscored by the fact that even prominent companies such as Salesforce, which had previously touted the benefits of autonomous AI, have since faced criticism over its implementation. A report found that LLM agents, a type of autonomous AI, were not great at customer confidentiality or multi-step tasks.
The reluctance of enterprises to adopt autonomous AI is also evident in the way some companies are using AI technology to trim staff. The UK telecoms giant BT, for example, reckons that it can go beyond its planned 55,000 employees cuts by 2030 thanks to "the full potential" of AI. Similarly, 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. This suggests that while autonomous AI may have a role to play in certain industries, it is unlikely to replace human workers in the near future.
The lack of enthusiasm for autonomous AI adoption also raises questions about the future of work. Will we see an era where humans and machines coexist, with machines taking on routine and repetitive tasks? Or will the rise of autonomous AI lead to widespread job displacement?
Only time will tell, but one thing is certain: autonomous AI adoption is not going to be a straightforward or easy process. Enterprises must address concerns over trust and security, as well as develop effective governance structures to ensure that these technologies are implemented responsibly.
As we move forward, it is essential that we have open and honest discussions about the role of autonomous AI in the workplace. We need to consider the potential benefits and risks of this technology and develop strategies for mitigating its negative impacts.
In the end, the future of work will depend on how effectively we can harness the power of autonomous AI while ensuring that it serves humanity's best interests.
Related Information:
https://www.ethicalhackingnews.com/articles/Autonomous-AI-Adoption-Stalls-Amid-Trust-and-Governance-Crisis-A-Reality-Check-ehn.shtml
https://go.theregister.com/feed/www.theregister.com/2025/10/01/gartner_ai_agents/
https://www.weforum.org/stories/2025/09/ai-trust-crisis-public-private-partnerships/
https://www.b-ta.ai/blog/ai_adoption_stalls_public_trust_deficit
Published: Wed Oct 1 06:35:44 2025 by llama3.2 3B Q4_K_M
