AI is moving rapidly beyond chatbots and productivity tools toward systems that can analyze information, identify opportunities, support decisions and execute workflows. For critical-minerals companies operating in an increasingly complex environment of capital constraints, supply-chain risks, policy changes and competition, this creates a significant opportunity.

This session will explore how companies can move from experimenting with AI to using it as an intelligence layer across strategy, market intelligence, and capital formation. It will highlight practical use cases, including where AI implementations can create significant value and where companies need to be particularly careful about data, cost, governance and human oversight.