The Key to AI Adoption Lies Not in Tech Capabilities, but in Human-Centric Practical Problem-Solving

The Current Market State of AI Adoption

While artificial intelligence technology has achieved explosive advancements, it still faces challenges regarding its penetration across society as a whole. It has not reached the rapid mainstream adoption once predicted, and users are actively demanding practical value.

The Gap Between Expectations and Reality

Companies are pouring massive amounts of capital into developing generative AI models, but merely competing on model accuracy and performance is no longer sufficient. While users expect convenience from AI, a deep chasm still exists between current products and the actual resolution of everyday challenges.

Evolution from Technology to Infrastructure

For AI to truly achieve mass adoption, a shift toward "human-centric design" is essential, far surpassing technological refinement. By solving specific pain points in daily life and building trust, the technology will evolve from a mere trend into an indispensable part of societal infrastructure.