Original article excerpt
Server-side extracted preview paragraphs from the original source.
Most AI pilots focus on capability and speed - and skip the hard work of earning trust from the business.
A recent Salesforce study found that more than half of US desk workers consider themselves AI skeptics, while people in emerging economies are more trusting of AI.
The American AI skepticism goes beyond job losses. US desk workers are concerned about employee experience, lack of training, and readiness to adopt AI technologies. The top three reasons for an unsuccessful AI tool or pilot among US workers include generic outputs, insufficient training, and low trust in outputs.
Also: US workers are the world's biggest AI skeptics - and it's not just about job loss
The lack of trust in agentic AI pilots and transformational efforts extends further, with many studies pointing to higher failure rates of production deployments of AI agents.
Accenture's latest research finds that companies must demonstrate sustained early wins from AI investments to build momentum. The key is shifting from siloed AI to systemic AI. The research found that successful agentic AI projects require strong data foundations using clean data to deliver the right context, investments in governance and semantically consistent data, which requires a modern AI-enhanced cloud stack, AI guardrails, and redesigned workflows.
More than half of agentic AI adopters cite data quality and retrieval issues as deployment barriers, according to a survey of chief data officers by Informatica.