ASIa Pacific News — In an exclusive report from US news website Axios, US President Donald Trump will attend a major artificial intelligence science summit on Thursday (Oct 8). The summit aims to empower scientists and advance US global leadership in major scientific breakthroughs driven by “Super Intelligence”.
The information comes from an announcement shared by the White House with Axios in advance.
(Screenshot Source: Axios)
Why it matters?
The Trump administration is seeking to expand the role of private enterprises in scientific research and development. At the same time, the US government is cutting public funding for scientific R&D.
This policy shift means the tech sector may take on a more important role in America’s future scientific innovation system.
White House Announcement: Tech Giants Pledge Over $1 Billion
According to information obtained by Axios, the White House will announce that technology companies including AMD, OpenAI, Anthropic and other firms have pledged more than $1 billion in industry investment for America’s “Genesis Mission”.
Meanwhile, the White House will unveil a series of major computing power and scientific research investment initiatives:
Build large-scale computing hubs: Covering more than 14 institutions across 10 states in the southeastern US to supply computing resources for AI scientific research.
$1 billion investment in Georgia: To expand access to computing resources for local students and univeRSIty faculty.
Additional funding for federal research agencies: The National Science Foundation (NSF) and the Department of Energy will invest over $100 million to develop AI-powered scientific research tools.
The White House stated top scientists and innovation representatives will attend the summit.
Behind the Summit: The US is Reimagining Its Research Model
Reports say the concept for the summit was inspired by a report released in July by Michael Kratsios, Director of the White House Office of Science and Technology Policy.
The report stressed that private industry is playing an increASIngly vital role in advancing scientific research and technological development.
At the same time, the United States is exploring new mechanisms for raising research funding and more efficient organisational models for scientific work.
This means the US government hopes not only to accelerate scientific discovery through artificial intelligence, but also to adjust traditional methods of research funding and collaboration.
The Genesis Mission Continues to Expand
Trump launched the Genesis Mission last November, setting a series of ambitious time-bound targets to speed up scientific discovery.
In July this year, the White House announced the programme would expand to more than 15 federal agencies to boost cross-departmental cooperation.
Notably, the White House hosted another AI summit just last week, which focused on the launch of the America.gov platform.
The platform aims to leverage AI technology to streamline government service workflows and improve public service efficiency.
This science summit shifts focus toward AI applications in scientific research and how governments, tech firms and research institutions can jointly drive major scientific breakthroughs.
Why This Summit Deserves Attention?
From a financial and tech industry perspective, there are three noteworthy signals revealed by Axios regarding the summit.
First, US AI competition is expanding beyond model capabilities and into scientific discovery.
Previously, AI industry competition mainly revolved around large language models, chips, data centres and commercial applications. The Genesis Mission’s emphASIs on using AI to accelerate scientific research may unlock new technical opportunities in materials science, energy, life sciences and other sectors.
Second, private tech companies are becoming key participants in America’s research system.
The participation of AMD, OpenAI, Anthropic and other firms reflects the growing importance of advanced chips, model capabilities and computing infrastructure in scientific research.
It should be distinguished that corporate investment pledges do not mean all funds have arrived; the actual investment pace and project outcomes remain to be seen.
Third, computing infrastructure may become a new priority for policy investment.
From cross-state computing hubs and univeRSIty computing resources to AI research tools, the US government is pushing tighter integration between computing resources and scientific research.
This may raise market interest in AI chips, servers, data centre infrastructure and related services. Still, whether relevant companies can secure orders and revenue depends on project implementation.