The Speed Of Trust In Automation: Why Autonomous Systems Fail Without It

InnovationThe Speed Of Trust In Automation: Why Autonomous Systems Fail Without ItByYasmin Rajabi,Forbes Councils Member.for Forbes Technology CouncilCOUNCIL POSTExpertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. | Membership (fee-based)May 12, 2026, 06:00am EDTYasmin Rajabi is the Chief Operating Officer at CloudBolt Software. She is a recognized leader in the FinOps and Kubernetes communities. getty​What if the near-term fate of automation in your organization (and the competitive advantage it can derive) has little to do with the technology itself?For two decades, enterprise leaders have invested in automation with a singular promise: greater speed at lower cost. Whether infrastructure as code, CI/CD pipelines, AIOps, Kubernetes auto-scaling or ML-driven optimization engines, the stack is increasingly autonomous.And yet, while CI/CD adoption is near universal, automation throughout the development process is not applied universally. Automation exists, but velocity stalls because AI/ML recommendations surface, but are overridden by humans. Policies are written, but enforcement remains manual, if not optional. Humans stay in the loop—and in some cases, are the loop.The missing variable in all of this isn't technical sophistication. It's technological trust.Back in 2006, Stephen M.R. Covey's The Speed of Trust argued that trust is not a soft virtue. It's a hard economic driver. When trust across employees, leaders and teams increases, speed rises and costs fall. When trust decreases, oversight multiplies and friction compounds.That same insight now applies to a new frontier: automation. The defining question for modern enterprises is, "Do I trust this system (especially when I'm not looking)?"And the answer to that question determines whether automation accelerates your business or taxes it.The Hidden Tax Of Low Automation TrustAutomation was created to reduce operational ove...