Why APAC SMEs cannot afford to ignore artificial intelligence – Data and Analytics

Why APAC SMEs cannot afford to ignore artificial intelligence – Data and Analytics

https://www.itnews.asia/news/why-apac-smes-cannot-afford-to-ignore-artificial-intelligence-627176

Publish Date: 2026-07-06 06:09:00

Source Domain: www.itnews.asia

• AI Adoption in SMEs: Small and medium-sized enterprises (SMEs) across the Asia-Pacific region are rapidly adopting AI technologies integrated into everyday business applications, lowering adoption barriers and yielding operational benefits.

• Drivers of AI Usage: The need to compete effectively is driving SMEs to adopt AI, especially since they often operate with limited resources and lean teams. William Smith of Zoom emphasizes that automation is becoming essential for SMEs to maintain competitiveness.

• Accessibility and Practicality: AI capabilities are becoming more accessible through integration into existing communication, collaboration, and customer service tools, making it feasible for smaller organizations without substantial budgets or technical expertise.

• Focus on Productivity: SMEs prioritize productivity-focused AI applications that automate repetitive administrative tasks like scheduling meetings and document creation, delivering quick wins and measurable returns.

• Advantages Over Large Enterprises: Smaller businesses can adapt and implement new technologies faster due to less bureaucracy and shorter approval cycles, particularly benefiting high-volume sectors like BPO, contact centres, and e-commerce.

• Shift in Investment Approach: AI spending among SMEs is becoming more selective and integrated into broader technology investments; businesses are now evaluating practical AI solutions that directly address genuine pain points and improve the bottom line.

• Future Outlook: Smith warns that the greatest risk lies in adopting AI without a clear objective. Companies should focus on business outcomes, such as improved time savings, responsiveness, and customer engagement, rather than just tool usage metrics.

• Move Towards Resolution Economy: As AI matures, its value will increasingly stem from completed outcomes rather than produced outputs. Success should be measured by how AI helps businesses achieve more without adding complexity.