AI & Cloud Infrastructure

Section 2(a)(2)(A) defines critical AI infrastructure as data centers or HPC facilities with ≥50 MW load dedicated to AI training/development/inference, and subsection (h) provides financial assistance for dispatchable baseload facilities serving such projects, directly benefiting AI/cloud infrastructure providers.

The bill promotes export of U.S. AI stack, including cloud services and infrastructure, via industry consortia (Sec 4), diplomatic efforts (Sec 5), and tracking of cloud operators owned/operated by U.S. firms (Sec 9).

Section 212 authorizes $311 million for FY2026 and $76 million annually for FY2027-2030 for artificial intelligence applications in weather forecasting, including AI model development, data assimilation, and public-private partnerships, directly benefiting AI and cloud infrastructure providers.

Resolution (8) calls for prioritizing investments in energy, telecommunications, and physical infrastructure necessary to enable widespread adoption of AI technology, which directly benefits AI and cloud infrastructure providers.

Section 2(c)(1)(C) includes modeling and simulation, machine learning, artificial intelligence, data assimilation, large-scale data analytics, predictive analysis, and advanced computational, storage, and networking capabilities to optimize algorithms for energy and climate, which benefits AI and cloud infrastructure providers.

Section 2(2)(C) explicitly names artificial intelligence as a cutting-edge technology to promote; Section 3(b)(12) addresses forced data localization and IP infringement impacting the advanced technology economy; Section 3(b)(6)-(7) reviews foreign direct investment challenges from state-directed economies, especially China, in manufacturing, services, trade (digital trade emphasis), and jobs.

Section 2(a)(1)(B) adds a new paragraph (3) to subsection (a) of Section 831 of the Homeland Security Act of 2002, requiring notification and briefing for other transaction authority involving artificial intelligence technology. This extends and clarifies the use of other transaction contracting authority for AI, which benefits AI & Cloud Infrastructure firms by facilitating government contracts for AI R&D.

Section 3(a)(1) requires annual assessments of terrorism threats posed by generative AI, which will likely increase demand for AI and cloud infrastructure services used to develop, deploy, and analyze such assessments, benefiting providers like AWS, Azure, Google Cloud, and AI labs.

Title I directs the Consumer Product Safety Commission to establish a pilot program exploring AI use for consumer product safety, which benefits AI and cloud infrastructure providers by creating a government use case and potential contracts.

Section 2(b)(1)(B) and (C) require identification of hardware, software, technologies, and budgetary estimates to combat AI-enabled financial crimes, which would benefit AI and cloud infrastructure providers through increased demand for their products and services.

Section 2(3) promotes U.S. production of emerging technologies, and Section 7(12)(B)(i) includes artificial intelligence as an emerging technology.

Section 2(h) requires NIST Director to develop resources for small businesses to utilize AI, including technical standards, best practices, benchmarks, and dissemination through SBA resource partners, which benefits AI and cloud infrastructure providers by increasing adoption and demand.

Section 5(a)(2)(G) includes automated comment compilation and analysis tools with Artificial Intelligence support where appropriate, and Section 7(a)(2)(A)(ii) references AI systems for oversight, indicating benefits to AI & Cloud Infrastructure providers.

Sec. 408 requires the President to issue or update policies to maximize use of classified data for training or refining AI models, which benefits AI and cloud infrastructure providers by enabling greater use of sensitive data for AI development.

Sections 505 and 414 involve studies on geopolitical strategies and verification frameworks for advanced artificial intelligence, and Section 227 establishes a program for language translation capabilities using multi-modal generative AI, directly benefiting AI and cloud infrastructure providers.

Section 2 directs the FTC to develop educational resources on safe and responsible use of AI chatbots by minors, which benefits AI cloud providers by promoting responsible use and potentially increasing adoption among minors and educators.

Section 4(a)(2) requires agencies to develop criteria and procedures for cost-effective acquisition strategies, including enterprise licensing, which could benefit cloud service providers by encouraging adoption of enterprise licenses and cloud-based solutions. Section 4(b)(1)(E)(iv) also supports interoperable capabilities between software, which aligns with cloud infrastructure improvements.

Section 2(a)(5) adds subparagraph (W) requiring small business development centers to assist small businesses with evaluating and using artificial intelligence, including best practices, planning, cybersecurity, compliance, and incorporation into operations. This provides a clear benefit (guidance, training, outreach) to AI and cloud infrastructure providers by increasing demand for their services among small businesses.

Section 2(a)(1) establishes educational resources and modules on AI tools for small businesses, which benefits AI and cloud infrastructure providers by increasing awareness and adoption of their tools among small businesses.

Section 749E(c)(1)(A)-(E) and (f)(1) authorize grants for AI education and training in medical schools, including collaboration with computer science, data science, and related fields, which benefits AI and cloud infrastructure providers by expanding demand for their technologies and expertise.

The bill establishes an AI Literacy and Education Commission to develop and disseminate AI literacy materials, promote AI education, and create a national strategy for AI literacy, which benefits AI and cloud infrastructure providers by increasing demand for AI literacy and education services.

Section 2(a)(2)(B) calls for development and modernization of civilian AI research infrastructure, and Section 2(a)(2)(C) promotes public-private partnerships with DOE, NASA, NIST, NSF, which benefits AI and cloud infrastructure providers.

Section 2(d) and Section 3(a)(3) explicitly mention artificial intelligence as an emerging technology to be identified and promoted for veterans' education programs, providing a benefit to AI and cloud infrastructure industries.

Section 2 amends the Water Resources Research Act to include 'including the growing artificial intelligence industry' in the congressional declaration of purpose, indicating a benefit to AI industry through research funding eligibility.

The bill aims to protect closed-source AI models from model extraction attacks by foreign entities, which benefits AI and cloud infrastructure providers (e.g., OpenAI, AWS, Azure, Google Cloud) by safeguarding their proprietary models and intellectual property. This is supported by Sections 2, 3, 4, and 5, which define closed-source AI models, mandate assessments of model extraction attacks, and establish deterrence measures including sanctions and entity list additions.

Section 3(a)(1) creates AI Innovation Labs allowing regulated entities to experiment with AI test projects. This directly benefits AI and cloud infrastructure providers (e.g., AWS, Azure, Google Cloud) that supply the AI/ML platforms and computing resources used in financial AI applications.

Section 2(1)(A)-(B) defines 'artificial intelligence' and 'artificial intelligence system' and integrates AI into grant-eligible systems (e.g., subsection (b)(1), (d)(4), (e)(2)(A)(i)), creating demand for AI/cloud infrastructure in state/local cybersecurity projects.

Section 3 requires assessments of foreign adversaries' use of generative AI for malicious activities, which may drive demand for AI safety, detection, and defensive technologies, benefiting AI and cloud infrastructure providers.

Section 3(1)(F) supports development of quantum applications, including quantum-hybrid applications, to promote innovation and commercialization; Section 3(1)(G) supports other emerging technologies that could benefit from or benefit the development of quantum technology; Section 4(b)(1)(C) inserts 'in diverse sectors' after 'applications'; Section 5(e)(8) promotes understanding and adoption of quantum capabilities throughout the United States economy; Section 6(f)(8) facilitates interagency par

Section 2 requires SBA Administrator to report on AI/ML use, benefits, risks, and management measures, which could increase demand for AI tools and services, benefiting AI & Cloud Infrastructure providers.

Section 2(a) authorizes SBA loans to finance business software or cloud computing services, including tools that utilize artificial intelligence, directly benefiting AI & Cloud Infrastructure providers.

Section 2(a) explicitly mentions artificial intelligence and machine learning as technologies to be identified, integrated, and deployed for border security, directly benefiting AI and cloud infrastructure providers.

Section 3 and 4 direct NIST and State Department to support U.S. participation in AI standards development, including briefings, web portal, and pilot grants for standards meetings, which benefits AI and cloud infrastructure providers.

Section 2(b)(3) and (4) and (f) promote public-private partnerships and co-investment with private sector for AI development in weather forecasting, directly benefiting AI and cloud infrastructure providers.

Section 2(3) promotes U.S. production of emerging technologies, and Section 7(12)(B)(i) includes artificial intelligence as an emerging technology.

Section 2(a) adds a new use for SBA 7(a) loans to finance business software or cloud computing services, including tools that utilize artificial intelligence, directly benefiting AI & cloud infrastructure providers.

Section 2(a) directs the NSA Director to develop security guidance for AI technologies and supply chains, which benefits AI and cloud infrastructure providers by improving security practices and potentially increasing trust and adoption of their systems.

Section 2(c)(2)(C) states the review will include 'A description of increased compute capacity through the enabling of more use of energy for computing workloads rather than cooling,' indicating a benefit to AI compute clusters and cloud infrastructure.

Section 3(a)(1)-(9) establishes a national programmable cloud laboratories network to enhance research efficiency, innovation, and collaboration, with explicit focus on AI-assisted experimentation, automation, and cloud-enabled workflows, directly benefiting AI & Cloud Infrastructure providers.

Sec. 16(d)(2) promotes core competencies like computer science and data science shared with AI; Sec. 16(d)(8) develops career development programs for quantum-informed educators; Sec. 16(d)(11) encourages coordination on quantum education in broader STEM community, which includes AI and cloud infrastructure.

The bill establishes AI standards, testbeds, and research programs that directly benefit AI and cloud infrastructure providers by supporting development, testing, and deployment of AI systems, including foundation models and cloud-based AI training/inference (see Sec. 101(c)(E), (F), (I), (O); Sec. 102(b)-(i); Sec. 201-202).

Section 3(a)(2)(A) explicitly lists artificial intelligence, machine learning, high-performance computing, quantum information sciences, and other emerging technologies as categories to be tested, directly benefiting AI and cloud infrastructure providers.

Section 2(1) and (5) state that chip security mechanisms will support AI ecosystem advancement and increase flexibility in export controls, allowing more international partners to receive advanced computing hardware, which benefits AI and cloud infrastructure providers that rely on exported chips.

Section 3(b)(1)(B) includes AI and AI-enabled applications in ICT acquisition training, and Section 4(c) permits advances for cloud subscriptions, aiding AI/cloud infrastructure providers.

Section 2(a)(3) and (c)(2) call for incorporation of artificial intelligence, machine learning, and advanced tools, driving demand for AI and cloud infrastructure providers.