这场大会释放新信号：AI降低变现门槛，普通人可借技术赚取第一桶金 – 新华报业网

Baidu has announced a strategic shift in the development of artificial intelligence, moving the industry’s primary focus from the creation of large-scale models to the deployment of practical applications. During the Create2026 Baidu AI Developer Conference held on May 14, 2026, the company introduced Daily Active Agents (DAA) as a new metric to measure the scale and success of the AI industry.

Baidu CEO Robin Li characterized this transition as the second half of the AI era. He stated that the central protagonist of AI development is shifting from the large model to the application, suggesting that the ability of AI to perform specific tasks through agents will become the new standard for evaluating technological progress.

As part of this application-centric approach, Li introduced the concept of disposable software, which he claims will reshape productivity. This model suggests a move away from permanent, static software installations toward AI-generated tools that are created for a specific immediate need and then discarded once the task is complete.

The introduction of DAA marks a divergence in how AI value is quantified. While other industry leaders, such as Nvidia’s Jensen Huang, have focused on a Token economy to measure AI activity, Baidu’s emphasis on DAA prioritizes the active utility and frequency of agent-based interactions.

Parallel to these technical shifts, the conference featured a Super Individual main forum on May 14, 2026, at the Beijing National Convention Center Phase 2. The forum focused on how AI is lowering the barriers to monetization, allowing individuals without professional technical backgrounds to leverage AI tools to generate income.

Shen Dou, Executive Vice President of Baidu Group and President of Baidu AI Cloud, stated that AI is creating the largest scale of individual opportunity in human history. He noted that while previous super individuals relied heavily on innate talent and extensive resources, AI now provides the necessary capabilities to individuals that were previously available only to large corporations.

The forum highlighted the transition of individuals from selling time to creating value through AI-driven entrepreneurship. However, participants cautioned that technical capability does not automatically result in financial success.

Yang Pan, a former co-founder of SiliconFlow, observed that many programmers are currently using AI to create various products for the pleasure of creation but are failing to establish a commercial closed loop. He argued that the lack of profitability in some AI ventures is not a failure of the technology itself, but rather a failure to identify the correct commercial direction.

Providing data to support the viability of AI monetization, WeOPC founder Xiang Shangshang cited the first OPC Creator Conference. He reported that while the event was originally planned for 200 participants, it ultimately attracted over 1,000 entrepreneurs from more than 30 cities across China, with dozens to hundreds of entrepreneurs inquiring about OPC ventures daily.

The conference concluded that the path to achieving a first bucket of gold in the AI era depends on finding the right practical application and implementing a sustainable business model rather than relying on the novelty of the technology.