In the past 24 hours (April 7 to April 8, 2026), the main line of the AI industry has become clearer: domestic focus on system improvement, scientific research platform construction and application collection, while overseas focus on large model security collaboration, the introduction of self-developed chips by cloud vendors, and the energy and infrastructure pressure brought by AI. On the whole, industrial competition has gradually shifted from "who releases the model first" to "who can truly open up the model, security, computing power and scenario".
1. Shanghai Artificial Intelligence Laboratory launched the "Everest Project"
Shanghai Artificial Intelligence Laboratory announced the promotion of the "Everest Plan", with the goal of building a key foundation for serving scientific research, and cooperating with universities, scientific research institutions and enterprises to build scientific application scenarios. The significance is that AI is further entering high-value fields such as high-energy physics, new drug creation and new materials from general capability demonstrations.
2. The construction of China's artificial intelligence safety standard system has been accelerated
The latest information shows that China's artificial intelligence safety standard working group has been established, and industrial safety governance is shifting from principled discussion to more systematic standardization. With the rapid proliferation of agents and generative applications, security standards are expected to become an important infrastructure for enterprise implementation and regulatory coordination.
3. Beijing launched a new round of collection of typical artificial intelligence cases and demand scenarios
Beijing has launched a new round of solicitation of AI cases, demand scenarios and experience plans for various industries, focusing on forming replicable and generalizable demonstration projects. For enterprises, this means that the "scene opening" at the local level continues to heat up, and the model capabilities will enter the industrial application verification stage faster.
4. Ten departments promote the implementation of new regulations on ethical review of artificial intelligence technology
Focusing on the ethical review and service of artificial intelligence technology, relevant departments have recently issued trial measures and proposed the direction of standard system construction. The new regulations send a clear signal: in the future, AI innovation will not only be faster, but also meet ethical review, risk assessment and accountability requirements.
5. Anthropic has joined forces with a number of technology companies to promote AI network security cooperation
Anthropic announced cybersecurity partnerships with major technology companies and previewed advanced models with relevant capabilities. This shows that the competition of cutting-edge models is no longer just a competition of ability, and security testing and controlled openness are becoming a new competitive dimension for leading manufacturers.
6. Uber turned to Amazon's self-developed AI chip
Uber is betting on Amazon's custom chips to improve the efficiency of its own AI business, which reflects the expansion of the commercial landing of cloud vendors' self-developed chips. For the industry, companies have begun to compare training and inference costs more realistically, and the trend of chip route diversification will be further strengthened.
7. Intel joins Musk's Terafab AI chip project
Intel announced that it has joined Musk's related AI chip comprehensive project, serving robots and data centers. This dynamic shows that AI hardware competition is shifting from single-chip performance to greater industrial chain collaboration that integrates manufacturing, systems and terminal applications.
8. U.S. electricity demand has been pushed up to a new high due to AI expansion
According to U.S. energy information-related forecasts, driven by the expansion of data centers and AI, U.S. electricity use may hit a record high this year and next. AI competition is spilling over to infrastructure levels such as energy, land and power grids, and the battle for computing power has become more and more like a battle for comprehensive national strength and supply chain capabilities.
Frequently Asked Questions (Q&A)
Q: What is the most obvious trend in the AI industry in the past 24 hours?
A: It has become more obvious to shift from "model release competition" to "synchronous competition in security, computing power, scenarios and governance".
Q: What is the core attraction of domestic news?
A: The core focus is the simultaneous promotion of the standard system, ethical rules and scientific research scenario platform, emphasizing the equal emphasis on controllable development and industrial landing.
Q: Why are overseas dynamics more focused on chips and infrastructure?
A: Because the scale of the head model continues to expand, cost, power, chip supply and security collaboration have become new key bottlenecks.
Q: What is the most direct inspiration for entrepreneurs and developers?
A: It is no longer enough to simply do models, and in the future, there is a better opportunity to embed model capabilities into real industry scenarios, taking into account security compliance and cost efficiency.
