Most US Companies Fail to Scale Agentic AI Beyond Experimentation, Deloitte Survey Finds
Summary
A new Deloitte survey of 501 US business leaders reveals most companies are stuck experimenting with agentic AI, with only 15% achieving multi-agent adoption across functions, as workforce gaps and outdated processes block meaningful scale.
Key Points
- A new Deloitte survey of 501 US business leaders reveals that most organizations are struggling to scale agentic AI beyond experimentation, with only 15% achieving orchestrated, multi-agent adoption across functions.
- Business process readiness and workforce transformation are the two weakest areas of agentic AI preparedness, as most organizations are layering AI agents onto existing processes rather than redesigning workflows from the ground up.
- Leaders are urged to develop integrated agentic road maps, invest heavily in role-specific workforce training, and define clear human-agent operating models to unlock the full value of an agentic enterprise over the next two to four years.