Navigating the AI Transformation, Drawing Insights from AI-VOLUTION The Series 2026

Bangkok, September 2, 2026 – SCB 10X, the innovative technology investment division of SCBX Group, maintains its momentum with the ongoing "AI-VOLUTION The Series 2026", a monthly online content series highlighting expert discussions on how businesses can adapt to AI's impact on products, business models, and workflows. The series, which exceeded 100,000 views in its first six episodes, aims to provide ongoing perspectives on emerging AI trends and their implications for businesses.

The experts and leaders featured in the series have identified six key takeaways. As AI reduces production costs, human judgment becomes increasingly valuable, transforming the source of competitive advantage from generic execution to specialized expertise and infrastructure. The same trend extends to product creation, where quality is now heavily reliant on human judgment, taste, and the ability to discern credible and valuable content.

Employee adoption of AI does not lead to institutional memory transfer, as these tools can only remember an individual's context, not the organization's. To preserve knowledge, enterprise AI systems must capture both outcomes and reasoning behind decisions, allowing organizations to detect patterns and insights that would otherwise go unnoticed.

The interaction with software is shifting from screens to stated outcomes, with AI agents becoming the next customer for businesses. Existing digital experiences often fail to accommodate machine interaction, necessitating the development of infrastructure and experiences ready for agent-driven customer journeys. Successful AI deployment at scale demands operational ownership, clear accountability, continuous monitoring, and defined intervention and escalation processes.

Concerns over AI's costs should not overshadow its potential savings, as reported challenges include a high failure rate for enterprise generative AI pilots and the risk of losing critical expertise. The series underscores the need for organizations to rethink their approach to AI, focusing on redesigning work, decision-making processes, preserving expertise, and creating value around AI.