According to a new report from MIT Technology Review, the majority of businesses are facing a wide gap between their ambitions to adopt AI agents and their actual execution capabilities. The survey indicates that despite high demand for integrating this technology, current infrastructure and operational workflows remain inadequate.
Background
Data from the study shows that up to 85% of organizations express a desire to transition to automation models using AI agents within the next three years. However, a concerning reality is that 76% of them admit their current operations and infrastructure are not ready for this shift.
This deficit lies not only in pure technology but is also spread across three core elements: people, processes, and workflows. Restructuring organizational charts to integrate these intelligent agents is becoming a major hurdle for business leaders.
Why it matters
For Vietnam's tech community and businesses, this is a clear wake-up call amidst the hype surrounding the capabilities of AI agents. Successfully deploying an autonomous agent system is not merely about purchasing software licenses or integrating APIs; it requires thorough preparation in human resource management and the redesign of internal workflows.
Without addressing infrastructure and human bottlenecks, massive investments in AI agents risk turning into inefficient pilot projects. Managers must focus on upgrading their workforce's digital skills and standardizing processes before expecting results from automation tools.