Sam Altman highlights that the ease of building AI systems does not guarantee successful deployment or adoption.

Key Context
While AI models and tools are becoming more accessible, real-world success depends on distribution, user trust, regulatory readiness, and seamless integration into existing workflows. In many cases, market readiness continues to lag behind technical capability, making adoption the primary constraint rather than the technology itself.

Audience Perspective
Is AI innovation currently limited more by technology maturity or by adoption and trust?