Twelve years into Stanford’s 100-year study of artificial intelligence, the project’s third report raises more questions than it answers. The 2026 AI100 Study Panel report acknowledges its limitations in its twelfth takeaway: "This report will be out of date by the time you read it." But it’s nonetheless a worthwhile exercise for those who haven’t been paying close attention to the development of machine learning over the past few years and for policymakers who may benefit from a review of AI’s metastatic growth. "The last five years constitute a watershed moment in the history of AI," said Professor Sheila McIlraith, chair of the AI100 Standing Committee, in a statement. " This report examines what led to the extraordinary capabilities of today’s AI systems, and how they are reshaping society. As we look ahead, we anticipate continued increase in AI capabilities alongside transformative advances in science and medicine. "Rapid change will challenge governments and industry to support and safeguard our people, our institutions, and our critical infrastructure. Both the benefits and the risks of AI technologies require the same clear-eyed scrutiny." Established in 2014, the One Hundred Year Study on Artificial Intelligence (AI100) is overseen by a Standing Committee of AI experts and administered by Stanford’s Institute for Human-Centered Artificial Intelligence (HAI). It’s charged with producing reports every five years, the first of which debuted in 2016. The 2026 report’s other key points highlight the transformation brought about by increasingly capable machine learning software. It identifies scaling as the engine of AI’s advance, but also points to the growing cost and difficulty of obtaining training data as constraints on further progress. The report likens AI’s disruptive potential to that of the World Wide Web – without dwelling on the irony that the web itself is among the things being disrupted. It points to creative industries, computer programming, and mathematics as fields once deemed beyond the reach of automation that are now being upended. Science, the report says, is being transformed by AI as it accelerates research timelines and opens up novel challenges. At the same time, the report cautions that "we will need to understand how AI-mediated information environments reshape collective cognition and moral behavior."…