23 Daily — According to leiphone.com, Baidu founder Robin Li is scheduled to deliver a keynote speech at the opening ceremony of Baidu World 2026 on November 12, focusing on the evolution path of intelligent organizations in the AI era. The speech is expected to revolve around the theme of "intelligent organization evolution," discussing how AI technologies drive enterprises from individual productivity improvements to transformative organizational changes.
Exploring the Evolution Path of Intelligent Organizations
The conference theme, "The Next Act: Intelligent Organizations," highlights key questions such as "What is the new factory in the AI era?", "What are the three principles of organizational evolution?", and "What three major opportunities await intelligent organizations?" In 2016, Robin Li introduced the concept that "the next act of the internet is artificial intelligence." Ten years later, the focus shifts to the evolution of intelligent organizations.
Over the past year, Robin Li has been deeply engaged in how AI drives changes at the organizational level. At Baidu World 2025, he proposed "internalizing AI capabilities" to make AI a native driver for enterprise and individual growth. In May's Create conference, he further introduced the "evolution theory," exploring hybrid super-organizations composed of humans and intelligent agents, providing insights into organizational self-evolution. These ideas have expanded from improving individual efficiency to transformational organizational self-adaptation.
Baidu's Full-Stack AI Advancements and Strategic Focus
Robin Li is expected to unveil Baidu’s latest progress in its full-stack AI product lineup and share strategic priorities for the next phase. Baidu is among the few global tech companies with an integrated "chip-cloud-model-agent" AI ecosystem. After dual primary listings on the Hong Kong Stock Exchange and Nasdaq in September, Baidu continues to advance its AI infrastructure. On November 3, Baidu Apollo revealed the 'Apollo World'—an intelligent agent-driven, multimodal world model aimed at physical AI applications, now undergoing global testing with "Carrot Run."
As enterprise demands move from isolated AI tool usage to systematic intelligent upgrades, Li may introduce product upgrades addressing infrastructure, models, tools, ecosystems, and organizational coordination. These aim to help enterprises overcome challenges in AI transformation and foster intelligent organization development.
AI Agents and Digital Humans Driving Productivity Shifts
The integration of intelligent agents and digital humans into business processes to enhance organizational efficiency remains a key focus. Last year, Li described digital humans as a new universal interface in AI; in May, he emphasized general intelligent agents as AI's "second-generation gateway," noting AI competition is shifting from intelligence to execution.
Baidu's intelligent agents and digital human applications have seen rapid expansion into enterprise scenarios. Public data shows an 83% month-over-month increase in Baidu's enterprise clients, with over 40 million monthly active users on Kuku AI office worldwide, and over 100,000 clients across 30+ industries using Baidu's OneMirror platform. Li is expected to share progress in deploying these applications, illustrating how AI transforms from boosting individual output to enhancing organizational productivity.
Editor's take: Intelligent Organizations as a New Engine for Enterprise Growth in the AI Era
Baidu World 2026 reveals a progression for enterprises contending with AI waves—shifting from a decade-long focus on AI technologies to internalizing AI capabilities in organizational structures and operations, forging intelligent organizations capable of thriving amidst complexity and market challenges. For entrepreneurs, engaging with the three principles of intelligent organizational evolution and leveraging emerging AI tools for enterprise upgrades represents a crucial opportunity.
To verify this trend, startups might pilot Baidu or similar full-stack AI solutions, observing how intelligent agents and digital humans improve large-scale organizational coordination and decision-making. Testing AI tools' real-world effects on workflow and productivity can assess the practical value of intelligent organization models and inform strategic AI adoption.