Why our leadership isn’t ready for AI (Part 5)
Organisations are investing more than ever in AI upskilling — courses, certifications, internal academies, external experts brought in to run workshops.
Title: The Leadership Gap in AI Adoption
AI fluency is no longer optional for businesses, but simply completing training is not enough to drive lasting change. While completion rates and positive feedback are encouraging, daily behavior seldom shifts after training.
To truly embed AI capability, organizations must combine structured learning, practice on real work, reinforcement from leaders, and systems that reward new ways of working. If any of these elements are missing, progress stalls.
For instance, a two-day AI workshop may energize participants, but if their managers tell them to "just do it the normal way," the impact quickly fades. Leaders must model AI use in front of their teams and make it a core part of performance evaluations and promotion criteria.
Organizations that effectively integrate AI training with performance metrics see significant results. They link AI use to real business problems, coach leaders to model AI behavior, provide safe spaces for practice, and redesign performance evaluations to recognize new AI-driven behaviors.
In contrast, organizations that treat AI training as a standalone event without these supporting elements may report identical completion rates but see no meaningful business impact. To truly harness AI as a competitive advantage, leadership systems must align with how work actually gets done.
Written by urgent.news from Bangkok Post's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
