The year 2025 marked a major shift in AI as it became a helpful, proactive companion that can think and navigate the world. As models grow more complex, people and businesses around the world are moving from exploration to integration and finding new ways to make these tools work in their everyday lives. On a broader level, the transformative potential of AI is becoming more apparent, from fundamental improvements in scientific discoveries and clinical milestones in healthcare to the rise of agent systems capable of dramatically increasing human productivity.
Today we're sharing our latest AI progress report. Since we began publishing these reports, our approach to AI development has continued to mature and is now fully integrated into our product development and research lifecycles. In 2025, as models become more functional, personalized and multi-functional, we relied on robust testing and risk mitigation processes, and deepened the robust defenses built into our products. To meet this challenge at Google's speed and scale, we've paired twenty-five years of user trust with advanced, automated content testing, and ensure that human experts provide critical oversight of our most advanced systems.
Our AI principles are the north star standards that guide our research, product development and business decisions. Our latest report describes how we apply these principles through a multi-layered management approach that covers the entire AI lifecycle – from initial research and model development to post-launch monitoring and maintenance. In such a changing environment, the report also shows how our systems are designed to recognize and adapt to emerging risks.
The responsibility is not only to stop negative consequences. And it's about enabling wider access to these tools for the benefit of people and society as a whole. By finding the right balance, we can ensure that AI is used to tackle the biggest societal challenges that were previously intractable, from predicting floods for 700 million people to sequencing the human genome and helping to prevent blindness.
Building trust in these tools requires deep collaboration with government, academia and civil society. As technology advances, we remain committed to setting industry standards and sharing our research and tools with the broader ecosystem, to promote the use of AI to improve lives everywhere.
