Summary:
- The article suggests that the majority of AI's value will come from broad automation rather than from research and development (R&D) efforts.
- It argues that as AI systems become more widely adopted and integrated into various industries and applications, the benefits of automation will be the primary driver of AI's value, rather than continued advancements in AI research.
- The article emphasizes the importance of focusing on scaling AI systems and making them accessible to a wide range of users and industries, rather than solely concentrating on pushing the boundaries of AI capabilities through R&D.