AI at scale must be built on both trust and innovation

Why governance is now the defining factor in any successful deployment of an enterprise’s artificial intelligence systems [The content of this article has been produced by our advertising partner.] At the World Artificial Intelligence Conference (WAIC) 2026 in Shanghai, one message stood out above all others: artificial intelligence (AI) is no longer just a technology conversation, it is now a governance conversation. Discussions increasingly centred on AI governance, safety, sovereignty and accountability, reflecting the reality that the future of AI depends not only on innovation but also on trust. For the past two years, organisations have focused on experimenting with generative AI. Today, they are moving towards agentic AI systems capable of planning, reasoning and executing increasingly complex tasks with minimal human intervention. This shift creates extraordinary opportunities – but also introduces new responsibilities. The next challenge for enterprises is not whether AI works but whether it can be trusted at scale.

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