According to @DeepLearningAI, Andrew Ng said AI development is accelerating because coding is getting faster and teams can prototype more quickly, which supports shorter build cycles for new products, source: @DeepLearningAI. According to @DeepLearningAI, the real bottleneck is now gathering user feedback, indicating iteration cadence and time to market are governed by feedback loops rather than engineering throughput, source: @DeepLearningAI. According to @DeepLearningAI, Ng encouraged attendees to connect, collaborate, and build together, highlighting AI Aspire as an example born from prior event conversations, source: @DeepLearningAI. According to @DeepLearningAI, this shift places operational emphasis on user feedback pipelines, a factor traders can monitor when assessing execution readiness and near term deployment pace in AI focused plays, source: @DeepLearningAI.