A survey of 501 senior business leaders reveals that while companies are experimenting with AI agents, few have achieved scaled, orchestrated deployments.
Key facts
- •Only 15% of surveyed organizations have achieved scaled, orchestrated multi-agent deployments.
- •72% of business leaders identify the lack of a unified, accessible data foundation as a primary challenge to scaling.
- •Nearly two-thirds of leaders are reevaluating their business models due to advances in agentic AI.
- •71% of organizations are currently working on baseline AI agent literacy for their employees.
- •By 2030, 74% of leaders expect nearly half of their business processes to be redesigned or rebuilt around AI agents.
A new report from Deloitte indicates that most US-based companies are struggling to move beyond AI agent experimentation into production. Surveying 501 senior business leaders, the research found that only 15% of organizations have reached scaled, multi-agent orchestration across functions like IT, engineering, and customer service.
By the numbers
Current State of AI Adoption
While 43% of organizations are currently expanding their AI agent deployments and 42% are testing small numbers of agents, most leaders report significant hurdles. Key barriers to scaling include a lack of a unified data foundation, cited by 72% of respondents, as well as difficulties with governance and trust (70%) and the high cost or complexity of integration (67%).
Workforce and Process Transformation
The research highlights that technological change is currently outpacing organizational adaptability. Only 20% of businesses believe their workforce is prepared for agentic AI, with half of the surveyed leaders admitting their organizations are not investing enough in necessary transformation efforts. Consequently, 43% of leaders anticipate major job disruption as routine, structured tasks become increasingly autonomous. Looking ahead, 74% of leaders expect that nearly half of their business processes will be redesigned or rebuilt around AI agents by 2030. Currently, only 16% of leaders feel their existing processes are ready for this transition, with many companies mistakenly attempting to layer AI onto legacy systems rather than redesigning workflows from the ground up.
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This article was independently rewritten by ManyPress editorial AI from reporting originally published by ZDNET AI.
