VietnamWhy our leadership isn't ready for AI (Part 6)
A Bangkok Post article discusses leaders' concerns that their teams are becoming overly dependent on artificial intelligence, accepting AI outputs without critical questioning and losing the instinct to challenge recommendations.
Unchecked AI adoption erodes core operational judgment
Deploying artificial intelligence without governance risks degrading execution capability across enterprise operations. When staff accept automated outputs without critical scrutiny, internal quality controls erode. Leadership must move beyond tracking tool adoption rates and focus on enforcing mandatory validation protocols within standard operating procedures.
The operational breakdown typically occurs at middle management, where output speed is prioritized over analytical rigor. Operations executives need to adjust workflow incentives so that teams are evaluated on output accuracy and independent verification rather than passive processing volume. What to watch next is whether regional management structures update to reflect this shift by mandating explicit signoff procedures.
For investment committees, assessing digital readiness requires auditing whether target companies maintain independent analytical capabilities alongside their enterprise software deployments.