In 2026, Asia's AI landscape is characterised by unparalleled leadership in adoption, with some organisations, like Baidu (China), SenseTime (Hong Kong), Naver Corporation (South Korea) and Grab (Singapore) surpassing global peers in generative AI deployment and employee engagement. Yet, true transformation demands responsibility and sustainability: balancing rapid innovation with robust governance, ethical workforce integration, and scalable strategies that deliver enduring value amidst diverse national policies and economic dynamics.In this PodChats for FutureCIO, Grant Chase, field chief data officer for APJ, Dataiku, shares with us his views on how organisations in Asia can achieve responsible and sustainable AI-led transformation.1. Describe the state of awareness/recognition/understanding of the ethical/responsible use of AI in 2025 (keep it brief)?2. How can organisations in Asia assess their current AI maturity to ensure adoption aligns with long-term strategic goals rather than short-term hype? 3. What metrics should leaders prioritise to measure the true impact of AI initiatives beyond initial experimentation? 4. In what ways can national AI strategies in countries like Singapore and South Korea influence corporate investment decisions and talent acquisition? 5. How might fragmented governance frameworks hinder AI deployment, and what steps can be taken to harmonise them across multinational operations? 6. What role does workforce upskilling play in addressing employee concerns about AI, fostering trust and reducing resistance to adoption? 7. In human-machine collaborations, how can leaders design systems that enhance efficiency while promoting transparency and accountability? 8. What strategies can mitigate the risks of informal generative AI usage outpacing formal oversight in fast-moving Asian enterprises? 9. Looking ahead, how will sustainable AI practices contribute to competitive advantage, driving not just growth but resilience in Asia's evolving economic landscape?

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