The AI bottleneck has shifted and most people haven't caught up yet
The primary bottleneck in AI development has shifted from raw capability to operational concerns like reliability and trust. Advanced AI tools now handle complex tasks such as memory management, tool calling, and workflow routing through configuration rather than manual coding. This evolution means the focus is moving towards ensuring these systems are dependable enough for widespread adoption, rather than simply demonstrating their potential. AI
IMPACT Focus shifts to operational reliability and trust, potentially accelerating adoption if these challenges are met.