Baidu World 2026: Five Key Highlights — Full-Stack AI Upgrade and the Path to an Intelligent Organization

Baidu World 2026 is set to take place on November 12 at the China National Convention Center Phase II in Beijing, and the organizers have revealed five major highlights in advance. From Robin Li's annual keynote to a 6,000-square-meter AI exhibition area, the event aims to answer a question that businesses increasingly care about: as AI moves from a standalone tool to organizational infrastructure, how should enterprises complete this evolution?

A Thematic Shift: From "Using AI" to an "Intelligent Organization"

The theme of this year's conference is "The Next Act: Intelligent Organization." This framing itself reveals Baidu's judgment on the current stage of AI adoption — over the past two years, what enterprises have been doing is "using AI," embedding AI tools into existing processes to boost efficiency; the core proposition of the next phase is to make AI the underlying structure of how an organization operates.

The conference features 1 main forum, 12 sub-forums, more than 30 AI open classes, and a 6,000-square-meter AI exhibition area. The sub-forums cover AI in the workplace, organizational evolution, scaling Agent deployment, and talent and organizational vitality, with the focus clearly shifting from technology demonstrations to methodologies for organizational transformation.

In management literature, "intelligent organization" is not an entirely new concept — early usage referred to organizational forms that use data and algorithms to optimize decision-making processes. In the context of generative AI, it has taken on a more concrete meaning: an organization's processes, knowledge, and collaboration methods are redesigned with AI as the default infrastructure, rather than layering AI tools on top of existing structures. Related reference concepts include the "AI-native enterprise," which emphasizes building an organization on an AI foundation from day one, and the "digital employee," which emphasizes Agents taking on specific job functions. Transitioning from "using AI" to becoming an "intelligent organization" typically requires passing through four stages: tool procurement, process redesign, data governance, and redistribution of authority and responsibility. The hardest is the fourth stage: when AI can independently execute tasks, who is accountable for it, how it is evaluated, and how it divides work with human colleagues all require new organizational institutions to answer.

Robin Li's Annual Judgment: How the AI Evolution Theory Continues

At the opening ceremony, Robin Li will deliver a keynote sharing his latest thinking on the next phase of AI trends. Looking back at his past views: at Baidu World 2025, he proposed "internalizing AI capabilities so that AI becomes the native driving force for enterprise development and personal growth"; at the Create conference in May this year, he further proposed an "evolution theory" for the AI era, discussing the path of self-evolution for enterprise organizations.

From "internalization" to "evolution," Robin Li's framework is gradually shifting from individual capabilities to organizational form. How this year's keynote continues this logic — and whether it offers a more concrete methodology for organizational evolution — is a key anchor for judging Baidu's AI strategic direction.

Full-Stack Upgrade: Chip-Cloud-Model-Agent Moving Toward System Synergy

Baidu will showcase the technological upgrades and application results of its "Chip-Cloud-Model-Agent" full-stack AI layout, and preview multiple product launches. One signal worth noting in the official information: enterprise demand for compute, models, toolchains, and applications "is shifting from point capabilities to system synergy."

This means the emphasis of Baidu's full-stack narrative is changing. In the past, it emphasized "having self-developed capabilities at every layer"; now it emphasizes interoperability efficiency across layers. It is reported that the conference may launch enterprise-grade AI products aimed at helping enterprises reshape production relations with AI — elevating the product positioning from an efficiency tool to the level of organizational architecture.

"Chip-Cloud-Model-Agent" is Baidu's summary of its four-layer full-stack AI capability structure: Chip refers to self-developed AI chips such as Kunlun, providing the underlying compute; Cloud refers to Baidu AI Cloud, responsible for compute scheduling, storage, and engineering platforms; Model refers to the Ernie series of large models and their toolchains, providing general-purpose and industry model capabilities; and Agent refers to the agent layer, packaging model capabilities into application forms that can execute tasks. This layering roughly corresponds to the industry's common "chip — cloud — model — application" stack, with the difference being that Baidu lists Agent as a separate tier, reflecting its judgment that agents serve as the entry point for deployment. So-called "system synergy" means the four layers are interconnected in terms of interfaces, scheduling, data formats, and tool-calling protocols, rather than being optimized independently — for example, chips are customized for model inference, the cloud platform provides runtime and memory storage for Agents, and model outputs can directly drive agent task decomposition.

How to Bridge the Gap Between Super Individuals and Organizational Productivity

The conference sub-forums specifically include topics on super-individual potential, creativity, and organizational vitality. This touches on a real pain point in current enterprise AI adoption: using AI for personal efficiency gains is already relatively mature, but there is a clear gap in how individual capabilities can be沉淀为 reusable, scalable organizational capabilities.

The more than 30 AI open classes are organized around three dimensions — AI WHY, AI HOW, and AI WOW — corresponding to awareness building, operational methods, and innovative practices. This layered design shows that the conference targets both decision-makers and frontline business teams and developers.

"Super individuals" refers to knowledge workers whose personal output is significantly amplified with AI tools, with efficiency gains often coming from prompt engineering, chaining multiple tools together, and automation scripts. But individual efficiency does not automatically translate into organizational efficiency, for three reasons: individuals' experience with AI is mostly tacit knowledge that is hard to document; individual workflows often bypass existing approval and collaboration systems, creating "shadow processes"; and the formats and standards of individual output are inconsistent, making it hard for downstream reuse. Common remedies in the industry include building internal prompt libraries and Agent template marketplaces, solidifying high-frequency AI workflows into platform-level capabilities, and establishing an AI Center of Excellence (CoE) responsible for standards and training. This is the real-world context for why the conference discusses this topic alongside organizational vitality.

Frontier Topics and On-Site Experience

The conference focuses on frontier directions such as RSI and AI4S, involving AI's reconstruction of life sciences, scientific research innovation, and new drug development. The 6,000-square-meter AI exhibition area will showcase full-stack AI capabilities on site, where attendees can observe how humans and agents collaborate through scenario-based demonstrations.

Since its founding in 2006, Baidu World has continuously showcased its AI technology and application progress. This year's focus on the "intelligent organization" is essentially providing enterprises and developers with a reference path from personal efficiency gains to organizational efficiency gains.

Registration is now open, with four ticket types: VIP, Premium, All-Access, and Professional Audience. Registration is available through the Baidu World 2026 official website and mini program.

RSI usually refers to "Recursive Self-Improvement," the ability of an AI system to participate in improving itself or subsequent AI systems. It is a key concept when evaluating the long-term evolution path of AI and is often used to discuss the acceleration and risks of capability growth. AI4S stands for "AI for Science," referring to the use of machine learning methods to solve natural science problems, with typical applications including protein structure prediction, materials screening, molecular dynamics simulation, and new drug target discovery. The connection between these two and Baidu's full-stack capabilities lies in this: RSI is more about automating model training and evaluation processes, while AI4S places high demands on compute and domain models, directly corresponding to synergy across its chip, cloud, and model layers.

What Enterprises and Developers Should Watch

For enterprise decision-makers, the content in the 12 sub-forums on organizational evolution and scaling Agent deployment is the most valuable reference — these topics directly address the practical challenges of moving AI from pilot to full-scale rollout. For developers, the degree of interface openness in full-stack products, the technology stack choices for enterprise-grade AI products, and the hands-on methods in the AI open classes are more practical points of focus.

The value of the conference is not in how many products it launches, but in whether it can provide verifiable answers to the question of how AI changes organizations.

One-line Summary

Baidu World 2026 is set for November 12 under the theme "The Next Act: Intelligent Organization," focusing on AI moving from tool-based efficiency to organizational transformation.

Paragraph Summary

Baidu World 2026 will be held on November 12 at the China National Convention Center Phase II in Beijing under the theme "The Next Act: Intelligent Organization," marking Baidu's judgment that AI adoption is shifting from "using AI" to making AI the underlying structure of organizations. The conference features 1 main forum, 12 sub-forums, more than 30 AI open classes, and a 6,000-square-meter AI exhibition area. Robin Li will deliver a keynote continuing the narrative from "internalizing AI capabilities" to an "AI evolution theory." Baidu will showcase the upgrade of its "Chip-Cloud-Model-Agent" full-stack layout, with emphasis shifting from point capabilities to system synergy, and may launch enterprise-grade AI products. Sub-forums focus on organizational evolution and scaling Agent deployment, while open classes are layered by AI WHY/HOW/WOW and also cover frontier directions such as RSI and AI4S.