The Productivity Trap and the Core Capabilities Vietnamese Businesses Need in the AI Era
An interview on the difference between task productivity and the capability to produce business outcomes.
This page is an editorial summary and translation of Nguyễn Chuẩn's Vietnamese interview. Lữ Minh Trí distinguishes task-level productivity from business-level productivity: completing one task faster does not automatically improve revenue, decision quality, or durable advantage.
The interview places the ability to evaluate results, understand domain-specific exceptions, and handle cases outside common patterns at the center of organizational capability. As AI becomes better at routine work, ambiguous work that carries responsibility becomes more important.
A consistent point is that businesses need to connect AI use with learning and skills development, rather than measuring output speed alone. This is how the source distinguishes a tool-driven trend from genuine operating capability.