The massive wave of AI applications surges toward federal government affairs! Jensen Huang and Musk will share the stage with Trump, as AI commercialization expands into new territory.

Title context: The massive wave of AI applications surges toward federal government affairs! Jensen Huang and Musk will share the stage with Trump, as AI commercialization expands into new territory. Text: U.S. President Donald Trump will host an event on Tuesday local time featuring leaders in technology and AI to launch a new government website. His administration is currently under pressure to adopt new safeguards for the use of artificial intelligence. Trump plans to hold an all-day event on September 29 to launch the government website America.gov, helping Americans access information and resources scattered across different federal agencies, with discussions centered on AI, energy dominance, health, space, and agriculture. Expected attendees include Nvidia CEO Jensen Huang, Tesla and SpaceX CEO Musk, and Anthropic co-founder Tom Brown, while Joe Gebbia, who is responsible for redesigning government processes, will participate in advancing the launch of this government services portal. For the global AI industry, the core significance of this major event lies in the fact that public services are becoming an important global AI application scenario for testing whether AI can reduce the cost of information access and improve the overall service experience. In particular, the latest advances in frontier AI agents/AI large models represented by Muse and Astra have provided an important technological foundation for this expansion of AI commercialization. A White House official said the new website America.gov is intended to help Americans access federal government information and resources currently scattered across numerous agencies. The official requested anonymity to disclose details of the plan. The official added that the all-day event will also include panels and industry-leading discussions on AI, energy dominance, health, space, and agriculture. According to a press release, expected participants include Nvidia's Jensen Huang, Tesla's Elon Musk, and Anthropic co-founder Tom Brown. Vice President JD Vance and other officials will also attend alongside them, including Airbnb co-founder Joe Gebbia. As head of the National Design Studio, Gebbia plays a leading role in redesigning government service processes. Gebbia told Fox News Digital, which first reported the event, that a new AI tool will help Americans obtain government assistance more easily. As the Trump administration actively embraces AI, this frontier AI large model/AI agent technology is once again coming under strict scrutinymultiple industry leaders have warned that allowing models to continue developing without more safety safeguards could pose a real threat to the survival and continuation of human society. Trump has dismissed these calls, insisting that he will not slow down AI development amid the race between the United States and China for dominance in this rapidly developing field. AI has in many ways become a central focus of U.S.-China economic competition and is also one of the major issues facing this week's summit between Trump and Chinese leadership. Beijing has made clear it has no intention of slowing its own AI technology development. However, during the visit to the United States, China's top leader showed some openness to setting boundaries, saying the two countries must "ensure that AI development always remains under human control." AI has also become a contentious issue in the midterm elections to be held in November that will determine control of both chambers of the U.S. Congress. Voters are concerned about the impact of the construction of hyperscale AI data centers by global AI application leaders such as OpenAI, Anthropic, SpaceXAI, Microsoft, and Google on the nonfarm job market, and are also deeply worried about the construction of large data centers that are driving up household energy bills across the United States. The Trump administration has dismissed claims of voter backlash over data centers as a "sick conspiracy theory." From agents to federal government affairs: AI commercialization adds another federal government public service entry point Intense competition in the AI industry chain is extending from AI large model capabilities and AI computing resource supply to government applications, technical standards, and infrastructure construction conditions. Echoing the White House's push for government applications, Altman and Amodei participated in the UN Security Council's AI discussion on September 23, with the former focusing on advocating common standards for capability evaluation, risk assessment, and safety safeguards. The government website event that Nvidia CEO Jensen Huang and others are about to participate in, together with the UN discussion attended by Altman and Amodei, jointly reflects AI companies' emphasis on the policy environment, but they are different activities. From an industry perspective, governments simultaneously control key functions such as public procurement, infrastructure approval, and rule-making; as AI technology moves from demonstrations to large-scale production applications, it increasingly requires companies and governments to jointly address deployment conditions, responsibility boundaries, and public acceptance. The agent advances represented by Muse and Astra provide the technological foundation for this commercialization expansion: a single user instruction can trigger a continuous workflow of planning, retrieval, browser operations, code execution, and result verification. Meta previously disclosed exclusively that Muse runs on a dedicated secure virtual machine and can execute tasks across applications around user goals; OpenAI, meanwhile, focuses Astra's capabilities on computer operation and complex, multi-step professional work. From a system architecture perspective, such tasks usually require alternating model reasoning and tool execution: GPUs and dedicated AI accelerators handle neural network computation, while CPUs handle virtual machines, browsers, code execution, data processing, and task orchestration. Therefore, the expansion of agent application scope is expected to simultaneously increase demand for AI core infrastructure resources such as AI GPUs/TPUs, high-performance CPUs, and high-performance HBM/DRAM/NAND memory chips for data centers. If government services further expand from information navigation to cross-agency process collaboration, it will also significantly increase corresponding back-end AI computing demand. This demand will also be transmitted along the data processing chain to broader cold-capacity storage systems, networks, and power systems. Prefill processes input context, while decode continuously generates output; longer contexts, higher concurrency, and multi-turn task states require coordinated improvements in memory capacity, bandwidth, and computing throughput. Nvidia's Dynamo engineering solution already covers tiered cache management across HBM, CPU memory, local NVMe, and remote storage; OpenAI also recently disclosed that its Habitat platform handles more than 70 million storage requests per second, with routing, compression, encryption, and verification involving a large amount of CPU work. The resulting investment logic is that the expansion of AI applications drives upgrades across the entire server system and further increases demand for high-speed interconnect, power supply, and cooling. Higher efficiency expands the scope of commercial applications by lowering task costs; when new users and task volumes exceed the resource savings per task, overall computing demand will continue to grow. The White House sets the stage, AI takes the spotlight! AI leaders are successively stepping onto the international political stage From the perspective of underlying technological iteration, agents beginning to actually operate software, call external tools, and access sensitive data has extended AI governance from content accuracy to action permissions, process auditing, and responsibility determination. Such cross-enterprise, cross-industry, and even cross-border issues require public institutions to participate in coordination. Altman's advocacy for common evaluation and safety standards has industrial significance in providing comparable technical basis for different developers, deployers, and governments, reducing deployment costs caused by conflicting requirements across regions. OpenAI recently emphasized that proposed technical standards themselves do not equal model licenses or mandatory pre-release approval, and whether to incorporate them into law is for each country to decide. From a commercialization perspective, clear and verifiable safety requirements help expand AI adoption in fields such as healthcare, finance, and public services, and also create sustained demand for identity management, permission control, and security monitoring. From an industry and investment perspective, AI companies entering the political agenda is also because computing expansion increasingly depends on conditions beyond chips. Public procurement affects new customers and revenue sources, grid connection and construction permits affect data center delivery speed, chip export policy affects the serviceable market, and technical standards affect the cost of products entering different fields. The America.gov event undoubtedly significantly demonstrates the government's strong willingness to promote the penetration of AI applications. The U.S. government has previously incorporated government AI procurement, data centers and supporting energy construction, and full-stack AI exports into its policy layout. Against this backdrop, intensive interaction between corporate leaders and policymakers may be further interpreted by the market as seeking a more predictable environment for accelerated AI application penetration and business expansion, while also responding to controversies over employment, household electricity bills, and local construction. For investors, what is worth tracking is whether these policy discussions can actual procurement, project approvals, powered delivery, and stable usage, thereby continuously driving revenue visibility and strong growth trajectories for companies related to core AI infrastructure hardware, AI cloud computing services, and infrastructure.