This Everyday AI podcast episode interviews Ruchir Puri, IBM Chief Scientist, about "Artificial Useful Intelligence" (AUI), arguing it's more valuable than the often-hyped Artificial General Intelligence (AGI). The discussion explores the limitations of current AGI definitions and emphasizes the importance of AI's practical applications. Puri highlights IBM's work on software engineering agents that automate tasks for developers, illustrating AUI's measurable impact on productivity. The interview concludes by advising business leaders to prioritize AI education, develop strategic plans for AI integration, and upskill their teams to leverage AI effectively. The key takeaway is that focusing on AI's usefulness in daily tasks, rather than abstract notions of general intelligence, is crucial for maximizing its benefits.
