The AI Execution Gap: Why the Endpoint Shift Isn’t Delivering Value Yet

The event, "The AI Execution Gap," addresses the critical challenge of converting AI capabilities into measurable enterprise outcomes by focusing on workforce infrastructure. It highlights how AI PCs are redefining employee work and collaboration, necessitating the modernization of devices and infrastructure to support secure, high-performance AI workloads. Organizations must balance productivity, privacy, security, and governance as AI adoption grows.

As AI adoption accelerates across Thailand, the focus is shifting beyond cloud platforms and data centers toward the workforce itself. Employees are increasingly relying on AI-enabled applications and intelligent workflows, creating new demands on devices and infrastructure. The challenge is ensuring infrastructure, from cloud to endpoint, is ready to operationalize AI securely, efficiently, and at scale.

The event will explore key priorities for organizations, including enabling AI-powered productivity through AI-ready devices, strengthening security and governance, extending AI capabilities to the edge, improving operational efficiency, and building scalable hybrid environments. Without modern workforce infrastructure, businesses risk limiting AI's value and increasing operational complexity and security exposure.

Key outcomes for enterprise AI leaders include reframing AI from experimentation to measurable impact, balancing innovation with control, defining the role of AI PCs, enabling scalable AI-ready infrastructure, and operationalizing AI across endpoints to prove ROI.