The results suggest that while AI is delivering value for most professionals, the experience is far from uniform. 

What employees in Malaysia are experiencing 

Many professionals use generative AI to speed up drafting, summarise information, and organise ideas. These tools can support content creation and early-stage thinking, especially when deadlines are tight. 

This aligns with the poll findings, where more than two-thirds of respondents report clear productivity gains from using AI at work. 

However, the data also reflects a more nuanced reality. Nearly one in five professionals say AI is helpful but creates additional rework, and this is where frustration often emerges. AI output does not always meet business or client expectations, which means employees still spend time reviewing, correcting, or rewriting content to ensure high-quality results. In some cases, this takes as long as doing the task manually. 

This “rework effect” shows a clear limit. AI models can support preparation and efficiency, but people still provide judgment, context, and accountability. 

From an employee perspective: 

• AI helps with drafting, not final decisions 
• Output may miss local or industry context 
• Time saved early can be lost during review 
• Confidence in AI varies across roles and seniority 

In areas such as customer service, customer support, sales, and management roles, human oversight remains essential. 

Why employers in Malaysia see both opportunity and risk 

For employers, the poll results reinforce why AI continues to gain traction. With 68% of professionals reporting productivity gains, AI integration clearly has the potential to deliver meaningful value when applied well. 

Used effectively, AI can: 

• Reduce time spent on repetitive tasks 
• Support project management and reporting 
• Improve consistency across documents 
• Free team members to focus on higher-value work 

In Malaysia, where teams often operate with limited headcount, these gains matter. 

At the same time, the 18% reporting additional rework highlights a leadership challenge. Many organisations introduce AI tools faster than they train employees to use them effectively. Without clear guidance, AI adoption varies widely across teams. 

From an employer perspective: 

• Some teams use AI daily, others avoid it
• Output quality differs across departments 
• Poor AI integration leads to rework 
• Lack of standards affects trust and credibility 

Instead of improving productivity, AI can slow teams down if leaders do not set clear expectations. 

The quiet gap: professionals not using AI 

While a smaller proportion, the 9% of respondents who do not use AI at work point to an important gap. When AI adoption is uneven, skill gaps grow between team members who use digital tools confidently and those who do not. 

In a labour market facing skills shortages, this creates a long-term risk to employability and workforce readiness. 

In many cases, non-use reflects uncertainty rather than resistance. Employees may be unclear about what tools are approved, how to use them, or how AI fits into their role. 

For employers, this is not just a technology issue. It is a capability and management challenge. 

Practical AI applications in Malaysian workplaces​​​​​​