The Cloud LAB Act of 2025 establishes a pilot program to create a national network of remote-controlled cloud laboratories for generating and sharing biological data to advance biotechnology research and AI development.
Todd Young
Senator
IN
The Cloud LAB Act of 2025 establishes a pilot program to create a national network of high-tech, remotely accessible "cloud laboratories" focused on biotechnology research. This network, coordinated by the NSF Director, will generate high-quality biological data using automated experiments to train AI models and provide researchers access to advanced experimental tools. The Act mandates the creation of an advisory board to guide priorities, ensure equitable access, and establish security protocols for the data and infrastructure.
This bill, the Cloud Labs to Advance Biotechnology Act of 2025 (or Cloud LAB Act), is all about building the next generation of scientific infrastructure. Essentially, it directs the National Science Foundation (NSF) to create a national network of high-tech, automated “cloud laboratories” that researchers can access remotely. Think of it like a massive, shared scientific factory floor packed with robots and instruments, where scientists from anywhere can run experiments 24/7 without having to physically be there. The main goal is to generate massive amounts of standardized, high-quality biological data that can be used to train Artificial Intelligence (AI) models for biotechnology breakthroughs (SEC. 3).
Within 360 days of the law passing, the NSF Director must get this network up and running, coordinating existing government and private labs, and planning for new ones. These new labs, called Phase II and Phase III cloud labs, will be funded through competitive grants awarded over the next four years (SEC. 3). The core mandate for every lab in this network is two-fold: first, to pump out consistent biological data using automated experiments; and second, to give authorized researchers access to top-tier experimental tools and that resulting data. For the busy professional, this means the foundation is being laid for rapid advances in medicine, materials science, and agriculture—the stuff that affects your health and the cost of goods.
If you work in tech, you know that AI is only as good as the data you feed it. Right now, biological research is often fragmented, making it hard to train reliable AI models. This bill tackles that head-on by mandating that the network establish common data standards and ensure the data generated is high-quality and consistent. The implementation plan must detail how this data will be securely stored, published, and made accessible to authorized researchers (SEC. 3, Phase I). This standardization is the real game-changer; it moves biotech from a craft industry to a data-driven one, accelerating the pace of discovery.
One of the most important provisions for the academic world and smaller research groups is the focus on equitable access. The NSF must develop an access model that ensures researchers doing nonproprietary work—that means academic and public-interest science—can use the lab infrastructure for free or at a very low cost (SEC. 3, Phase I). This is a big deal because these cloud labs will house extremely expensive, cutting-edge equipment that most universities, especially those serving under-resourced populations like Historically Black Colleges and Universities (HBCUs), could never afford on their own. This provision levels the playing field, making world-class research tools available to a much wider range of scientists.
To guide all this, the Director must form a Cloud Laboratory Advisory Board, which will include experts in ethics, biosafety, and cybersecurity, as well as representatives from industry and academia (SEC. 3). This board will help define who counts as an “authorized researcher” and ensure that security—both digital and biological—is baked into the system from the start. While the bill mandates robust security planning and outlines a clear intent for equitable access, the specific payment and IP agreements are still up to the Director and the Advisory Board to hash out, which is where the real-world costs and benefits will ultimately be decided.