A significant gap exists between organizations’ ambitions for AI agent adoption and their operational readiness, according to MIT Technology Review. While 85% of organizations surveyed say they want to become agentic within the next three years, 76% acknowledge that their current operations and infrastructure cannot support that transformation.
The findings highlight a critical challenge facing enterprises as they pursue agentic AI—systems where AI agents can operate with significant autonomy to complete complex tasks. The data suggests that most organizations may need substantial operational changes and infrastructure investments before they can effectively deploy and manage enterprise-level AI agents at scale.
This disconnect between ambition and execution capability represents a potential obstacle for companies seeking to leverage the emerging capabilities of agentic AI systems, which are seeing rapidly growing adoption interest across the enterprise landscape.