This editorial reflects on the evolution and future direction of systems intelligence for sustainability industry (SI4SI), an initiative that has grown from a workshop at the 2017 UNDP conference into a continuing international dialogue connecting systems science, artificial intelligence (AI), and sustainable development. As AI technologies rapidly democratize knowledge and capability, they simultaneously introduce systemic risks, where termination-triggering knowledge, intelligence, and actions may amplify unintended consequences at unprecedented scales. Such risks call for governance that aligns intelligence with long-term societal well-being. Inspired by a modern interpretation of Pascal’s wager, we argue that precaution and responsibility must precede large-scale deployment of advanced AI. An embedded governance paradigm integrating blockchain intelligence and decentralized autonomous organizations is proposed to enhance transparency, accountability, and collective coordination. Essentially, SI4SI advocates a shift from artificial intelligence for efficiency to prescriptive intelligence for sustainability, emphasizing that technological progress must be prescribed and controlled by human values and welfare.