智能时代的产业政策：以人为本的理念

April 2026 Let’s Talk The drive to understand has always powered human progress—creating aflywheel from science to technology, from technology to discovery, and fromdiscovery onward to more science. That inexorable forward movement led usto melt sand, add impurities, structure it with atomic precision into computerchips, run energy through those chips, and build systems capable of creatingincreasingly powerful artificial intelligence. In just a few years, AI has progressed from systems capable of fast, narrow tasks to models that canperform general tasks people used to need hours to do. Now, we’re beginning a transition towardsuperintelligence: AI systems capable of outperforming the smartest humans even when they areassisted by AI. No one knows exactly how this transition will unfold. At OpenAI, we believe we shouldnavigate it through a democratic process that gives people real power to shape the AI future they want,and prepare for a range of possible outcomes while building the capacity to adapt. That’s what thisdocument is for—to start a conversation about governing advanced AI in ways that keep peoplefirst. The promise of superintelligence is extraordinary. Just as electricity transformed homes, the combustionengine remade mobility, and mass production lowered the cost of essential goods, superintelligence willspeed up scientific and medical breakthroughs, significantly increase productivity, lower costs forfamilies by making essential goods cheaper, and open the way for entirely new forms of work, creativity,and entrepreneurship. Today, AI’s impact on work is often measured by the time required for tasks that systems can reliablycomplete.Frontier systems have advanced from supporting tasks that take people minutes tocomplete, to tasks that take them hours to complete. If progress continues, we can expect systems tobe capable of carrying out projects that currently take people months. This shift will reshape howorganizations run, how knowledge is created, and how peoplefind meaning and opportunity. It will alsohighlight the limitations of today’s policy toolkit and the need for more ambitious ideas to keep people atthe center of the transition to superintelligence. While we strongly believe that AI’s benefits will far outweigh its challenges, we are clear-eyed about therisks—of jobs and entire industries being disrupted; bad actors misusing the technology; misalignedsystems evading human control; governments or institutions deploying AI in ways that underminedemocratic values; and power and wealth becoming more concentrated instead of more widely shared.Indeed, we highlight these risks here to raise awareness of the need for policy solutions to addressthem. Unless policy keeps pace with technological change, the institutions and safety nets needed tonavigate this transition could fall behind. Ensuring that AI expands access, agency, and opportunity is acentralchallenge as we move towards superintelligence.We should aim for a future wheresuperintelligence benefits everyone, and where we: 1.Share prosperity broadly.The promise of advanced AI is not just technological progress, but ahigherquality of life for all. Everyone should have the opportunity to participate in the newopportunities AI creates. Living standards should rise and people should see material improvementsthrough lower costs, better health and education, and more security and opportunity. If AI winds upcontrolled by, and benefiting only a few, while most people lack agency and access to AI-drivenopportunity, we will have failed to deliver on its promise. 2.Mitigate risks.The transition toward superintelligence will come with serious risks—from economicdisruption, to misuse in areas like cybersecurity and biology, to the loss of alignment or control overincreasingly powerful systems. Without effective mitigation, people will be harmed. Avoiding theseoutcomes requires building new institutions, technical safeguards, and governance frameworks sothat advanced systems remain safe, controllable, and aligned—reducing the risk of large-scaleharm, protecting critical systems, and ensuring people can rely on AI in their daily lives. As capabilityscales, safety must scale with it. 3.Democratize access and agency.As capabilities advance, some systems may need to becontrolled for safety. But broad participation in the AI economy should not depend on access to themost powerful models—it should depend on access to AI that is useful, affordable, preservespeople’s privacy and expands their individual agency. Avoiding a concentration of wealth andcontrol will require ensuring that people everywhere can use AI in ways that give them real influenceat work, in markets, and through democratic processes. The Case for a New Industrial Policy.Society has navigated major technological transitions before,but not without real disruption and dislocation along the way. While those transitions ultimately createdmore prosperity, they required proactive political