Sam Altman, CEO of OpenAI, has highlighted the rapid advancements in artificial intelligence (AI), predicting that the next one to two years will witness breathtaking progress in AI models. He emphasized that companies that adapt quickly, learn fast, and treat mistakes as part of the process are more likely to succeed in the fast-moving AI landscape. The surge in enterprise adoption of AI over the past year has been driven by increasingly powerful models, enabling businesses to tackle complex problems such as designing better chips or curing diseases through autonomous reasoning and tool integration. Concurrently, the emergence of agentic AI—systems capable of independent action and decision-making—is reshaping industries by driving hyper-automation, improving operational efficiency, and increasing revenues across sectors like finance, logistics, and research and development. Legal firms are increasingly integrating AI technologies, including predictive AI for entry-level associate hiring and specialized AI tools to identify client opportunities. This trend has prompted discussions on legal considerations surrounding agentic AI, including potential malpractice issues and privacy concerns. Experts foresee agentic AI becoming more accessible, allowing businesses to build their own AI agents to further enhance productivity and innovation.