"We're in the early days of agentic transformation, which describes the shift from traditional software to a more autonomous enterprise that relies on software that can act independently. Businesses are eager to embed agents in processes to make operations more efficient. Yet we're in a remarkably similar place to autonomous vehicles with our level of trust, or lack thereof. Implementing simple agentic pilot use cases are one thing. But yielding control of critical workflows is another."
"In a recent KPMG International study of more than 48,000 people in 47 countries, 66% said that while they use artificial intelligence, 54% were unwilling to trust it. A McKinsey & Company report cited something similar, calling it the GenAI paradox. It found that almost eight in 10 companies use generative AI, but the same number has not seen any significant bottom-line impact."
An unsettling rideshare example illustrates the human trust deficiency toward autonomous systems despite perceived technical capability. People may accept autonomous systems for low-risk maneuvers but resist ceding control for higher-risk actions. The agentic transformation aims to shift enterprises from traditional software to autonomous software that acts independently to increase operational efficiency. Large-scale research shows widespread AI use paired with substantial unwillingness to trust it, and generative AI adoption has not yet delivered commensurate bottom-line impact. The primary obstacles are human: earning trust, driving adoption, and establishing governance to manage agent autonomy and prevent uncontrolled sprawl.
Read at Fast Company
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