At GITEX Asia 2026, industry leaders highlighted a significant shift in AI infrastructure spending toward edge inference. As companies move past initial experimentation, the focus has turned to monetization and practical deployment. Singapore's spotlight on AI infrastructure underscores the demand for processing power closer to the data source. This transition aims to reduce latency and improve efficiency for real-time applications. The shift suggests that the next phase of AI growth will be driven by localized hardware solutions and clear strategies for generating revenue from AI-driven services.
At GITEX Asia 2026, industry leaders highlighted a significant shift in AI infrastructure spending toward edge inference. As companies move past initial experimentation, the focus has turned to monetization and practical deployment. Singapore's spotlight on AI infrastructure underscores the demand for processing power closer to the data source. This transition aims to reduce latency and improve efficiency for real-time applications. The shift suggests that the next phase of AI growth will be driven by localized hardware solutions and clear strategies for generating revenue from AI-driven services.