• •Workday surveyed workers in Hong Kong and Taiwan, finding that disconnected AI tools often increase output speed without improving work quality
• •Surveyed employees indicate that using multiple, non-integrated AI systems adds administrative overhead rather than reducing total workload
• •The data remains limited to regional workplace experiences, leaving it unclear if these specific friction points are universal or unique to local enterprise software adoption

New research from Workday reveals that employees in Hong Kong and Taiwan are using AI tools that increase task speed but fail to improve overall output quality. This finding reflects a broader trend of 'AI fragmentation,' where businesses deploy disparate tools that do not communicate with existing workflows, often termed 'shadow AI' or tool sprawl. While enterprises previously prioritized rapid AI integration to stay competitive, this research highlights that technical debt may be accumulating faster than productivity gains. Whether organizations will pivot to unified AI platforms remains the central unresolved question for enterprise IT strategies in the coming year.