What if we completely reimagined how AI systems are governed?

Amitabh Chaudhry from Axis Bank raised a thought-provoking question at WEF26: How do we rebuild the systems, skills, and core values that shape AI development to ensure more equitable progress?

It's a fascinating angle. Right now, AI governance often feels concentrated in the hands of a few major players. But what if we introduced more distributed decision-making, transparency in how AI models are trained and deployed, and broader stakeholder input?

The challenge runs deeper than just tech—it touches on how we structure institutions, what expertise we prioritize, and whether our values around fairness actually translate into real-world outcomes. From Web3's perspective, concepts like decentralized governance could offer fresh approaches here.

Think about it: transparent frameworks, community participation in protocol decisions, and mechanisms that resist single-point-of-failure scenarios. These aren't just blockchain ideas anymore—they could reshape how we think about responsible AI systems across industries.

The real question isn't just what kind of AI we're building. It's who gets a say in building it, and whether we're creating systems that benefit everyone or just consolidate power.