Christopher Sanchez is an AI researcher and entrepreneur who builds ventures and advises institutions on governing and deploying frontier artificial intelligence in high-stakes environments.
Christopher Sanchez is a CEO, AI researcher, and policy advisor whose work focuses on how governments, institutions, and companies govern and deploy frontier artificial intelligence amid shifting geopolitical and institutional pressures. He is the CEO of Emergent Line, an Adjunct Professor of Practice in Applied AI at EGADE Business School, and an Industry Advisor to leaders and founders at Stanford Graduate School of Business and Cornell Tech.
His work sits at the intersection of advanced AI systems, institutional decision-making, and public responsibility, with a focus on accountable AI governance, state capacity, and the design of durable institutional architectures that enable societies and organizations to build, finance, and govern artificial intelligence systems over the long term. He specializes in Sovereign AI and Sovereign AI Finance, an emerging policy and capital domain he is helping define and advance to support how governments and organizations develop artificial intelligence as durable public and strategic infrastructure across both physical and digital AI ecosystems.
His research and advisory work frame AI governance as a public-interest and institutional design challenge, grounded in the view that institutional and democratic legitimacy, public trust, and long-term national and organizational capacity are shaped by how advanced systems are architected, financed, and governed. His work examines and articulates how institutional design choices influence representation, access, accountability, and competitiveness—and the conditions under which AI systems can either reinforce structural exclusion or expand participation. This work builds on applied research initiatives such as the Global AI Bill of Rights, as well as advisory engagements with regulators, public institutions, and cross-sector leaders. Through this work, he contributes to defining institutional and capital frameworks through which advanced AI systems can be governed as long-term public and strategic infrastructure.
Underlying this work is a commitment to stewardship and the development of institutional approaches capable of enduring political cycles, technological change, and shifting public expectations, prioritizing long-term legitimacy, resilience, and public accountability over short-term adoption or performance optimization alone.
Christopher Sanchez is a frequent speaker and public commentator on AI, policy, and geopolitics, and a permanent columnist for Fast Company México. His analysis and writing have appeared in national and international outlets including The Wall Street Journal, WIRED México, and MIT Sloan México. In 2024, he was recognized by Forbes México as one of the country’s Top 35 AI Leaders for contributions spanning business, public policy, and governance.