Inside Baidu's AI Pivot: Token Markets, Autonomous Fleets, and Agent Networks

BEIJING – November 12, 2026 — For the past three years, the global artificial intelligence narrative has been overwhelmingly dominated by the spectacle of the chatbot—a consumer-facing parlor trick that, while impressive, often obscures the deeper, systemic transformations happening beneath the surface. But at Baidu World 2026, the Chinese technology giant signaled a definitive pivot away from the hype of standalone models and toward the invisible, intelligent networks that will define the next decade of enterprise and urban infrastructure.

Baidu Co-founder and CEO Robin Li laid out a comprehensive full-stack strategy designed to transform traditional enterprises into "intelligent organizations." From the launch of a new open-weight foundation model and a centralized token exchange to the deployment of proprietary silicon and driverless fleets in the Middle East, the company is attempting to build an end-to-end ecosystem that bridges the gap between raw compute and physical productivity.

"If AI is the new electricity, then the intelligent organization is the new factory of the AI era, where productivity truly happens," Li told the audience in Beijing.

The Death of the Job Title and the Rise of the Agent Network

Perhaps the most disruptive element of Baidu's new blueprint is its vision for the future of human capital. The company is betting heavily that artificial intelligence will dissolve rigid corporate hierarchies, replacing conventional job titles with fluid, task-based networks orchestrated by AI agents.

Li articulated a future where traditional roles converge into two primary categories: "Builders, who create new things, and Sellers, who connect with people to forge emotional bonds and earn their trust." Everything in between—the administrative, the logistical, the operational—is increasingly being handed over to digital agents.

Early internal metrics suggest this isn't just theoretical posturing. Over the past year, the average number of daily active agents operating within Baidu surged from 5,000 to 37,000—a 600 percent increase. These agents are now processing over one million tasks a week. To facilitate this shift externally, Baidu has upgraded its suite of enterprise agents, including the general-purpose DuMate, the KOOKO workspace for research and document generation, and Famou 3.0, an industrial operations agent currently deployed across 25 of China's 41 industrial categories.

Organizational strategists observing the rollout note that this approach fundamentally alters the concept of a corporate "moat." By capturing tacit employee knowledge and encoding it into shared, self-evolving agents, companies can build proprietary operational networks that competitors cannot simply hire away.

Commoditizing Compute: ERNIE 5.5 Flash and the Token Exchange

While agents represent the front-end interface of this new corporate structure, the back-end economics are dictated by inference costs. As the AI price war intensifies, competition has shifted from who can train the largest model to who can run a highly capable model the cheapest.

Enter ERNIE 5.5 Flash Preview. The new open-weight foundation model utilizes a sparse Mixture-of-Experts (MoE) architecture, boasting 280 billion total parameters but activating only 14 billion per token. This design supports a massive one-million context window while dramatically driving down operational costs. On Baidu's Qianfan platform, the model is priced at approximately $0.28 per million input tokens and $1.13 per million output tokens, making it highly competitive against open-weight peers like DeepSeek and Qwen.

Baidu claims the model achieves competitive scores on benchmarks like Terminal-Bench and AutomationBench. However, independent evaluations reveal a more nuanced picture. While ERNIE 5.5 Flash Preview performs admirably, it still trails behind top-tier proprietary models like Anthropic's Claude Sonnet 5.5 on certain complex coding benchmarks. Its high ranking on the Code Arena WebDev leaderboard currently carries an "AutoEval" tag, meaning it lacks the human-voted consensus of its rivals.

To capitalize on the demand for affordable inference, Baidu has launched the Token Exchange, a centralized marketplace connecting AI model providers with enterprise customers. In its first month, the exchange onboarded over 100 model resources and is already handling more than 50 million daily calls and 700 billion tokens.

Cloud computing analysts view the Token Exchange as a strategic masterstroke. By establishing a neutral clearinghouse for compute, Baidu is attempting to commoditize AI tokens, creating a platform-mediated marketplace that could generate immense network effects across China's fragmented AI ecosystem.

Silicon Sovereignty in a Fractured Supply Chain

None of this software infrastructure can function without the physical digital backbone: silicon. The geopolitical reality of U.S. export controls has forced Chinese technology firms to accelerate their pursuit of full-stack independence.

At the event, Baidu confirmed the general shipment of its Kunlunxin M100 inference chips, designed to deliver high cost-effectiveness for the exact types of agentic workloads the company is prioritizing. The flagship M300 chip is slated for release in 2027, promising a major leap in computing power and memory.

"We believe inference will be the primary driver of sustained long-term growth in the AI chip market," Li noted.

Coupled with the announcement of the Tianchi 1024-card Supernode—an all-optical interconnect system built for high-speed data transmission—Baidu is clearly signaling its intent to achieve silicon-to-software sovereignty.

However, semiconductor supply chain experts point out that significant hurdles remain. While domestic foundries are making rapid strides in advanced packaging and older process nodes, mass-producing leading-edge AI chips without access to extreme ultraviolet (EUV) lithography equipment from Western suppliers continues to be a bottleneck. Baidu's ability to maintain its M300 roadmap will be a critical test of China's domestic semiconductor resilience.

Exporting the Autonomous Grid: Apollo Go Goes Global

The ultimate manifestation of Baidu's intelligent network strategy extends beyond the enterprise data center and into the physical streets. "Embodied AI is now at a stage comparable to where autonomous driving stood in 2016," Li stated, linking the digital intelligence of models to the physical mobility of machines.

Baidu's autonomous ride-hailing service, Apollo Go, has now logged over 350 million autonomous kilometers globally. More crucially, the company announced its international expansion, launching fully driverless commercial operations in Abu Dhabi and Dubai.

This Middle Eastern deployment is highly strategic. The United Arab Emirates has cultivated one of the world's most progressive regulatory sandboxes for smart city initiatives and advanced mobility. By exporting Apollo Go to Dubai and Abu Dhabi, Baidu is not merely launching a robotaxi service; it is integrating its digital backbone into the urban grid of a foreign market.

Global transport analysts suggest that this move positions Baidu to capture valuable edge-case data in new environments, testing the robustness of its AI systems against different traffic laws, climate conditions, and urban layouts. It represents the physical realization of the intelligent organization—a network of autonomous agents, powered by proprietary silicon and optimized by a commoditized token market, moving people and goods through the cities of tomorrow.