Skip to main content
v2026.11,858 entries · CC-BY 4.0

Editorial · CASRAI · AI and ML research outputs

Democrats Plan a Wave of AI and Data-Centre Bills for the New Congress

Reuters reported on 6 November 2026 that Democrats plan bills on data-centre electricity costs, independent AI testing and AI liability when they take Congress in January.

Published 12 Nov 2026· 3 minute read

Ask CASRAI · free to try

Ask about this story

Ask your first 2 questions free below. Subscribers get 150 a day for $29 a month.

An AI assistant specialized in research administration. It cites the sources behind every answer, labels web answers and says when it can't answer.

Answers draw on CASRAI's guides and dictionary plus the federal and funder documents we index: Federal Register, Grants.gov, Regulations.gov and UKRI.

Works on this site and inside Claude, Cursor and the AI tools you already use.

Everything CASRAI publishes — this page, the dictionary, the guides and the news — stays free to read, with no account and no card.

CASRAI is the reference for research administration — bookmark it for the next question.

Democrats plan to introduce a large number of bills on artificial intelligence and data-centre development once they take control of Congress in January, according to a Reuters report published on 6 November 2026 (read 12 November 2026). The agenda is a statement of intent, not enacted policy, and the same report notes that any legislation would face steep odds while President Donald Trump, who has repeatedly rejected mandatory AI rules, remains in office.

What was reported

According to the Reuters report by Courtney Rozen, carried by Claims Journal, the bills would mark a contrast with the Republican-led Congress, which mostly promoted AI development and did not pass restrictions. Three priorities are named:

  • Electricity costs. Shielding consumers from rising electricity costs tied to data centres, which Senator Chuck Schumer (D-NY), expected to become majority leader, named as a priority.
  • Independent testing. Requiring independent experts to test leading AI models against safety standards, which Representative Lori Trahan (D-MA) plans to push.
  • Liability. Clarifying when AI companies can be held liable for harmful AI behaviour, also a Trahan priority.

Reuters also reports that Democrats could try to attach AI rules to must-pass annual spending bills. Other figures named include Representative Greg Casar (D-TX), who wants AI executives to testify under oath; Representative Zoe Lofgren (D-CA), who is seeking to chair the House Science Committee and says Democrats will pursue “responsible regulations for AI while also fostering innovation”; and Abdul El-Sayed (D-MI), who won a Senate seat and has proposed an independent agency to oversee AI. Ed Mills of Raymond James is quoted as saying legislation is more likely than many expect, and that a crisis could build enough support to overcome a presidential veto, which requires two-thirds of both chambers.

On oversight, the report says that in October Lofgren and other House committee leaders asked OpenAI, Anthropic, Meta, Google and SpaceX about their security practices and any instances of AI tools acting in ways their designers did not intend. It also cites an October Reuters poll finding that most U.S. voters think the administration and Congress are not taking AI risks seriously enough.

Context

Independent evaluation of frontier models is already an active area outside government. CASRAI has covered commitments to scale AI model evaluation and international warnings about AI risk. A testing mandate would add a legislative layer to that work, but no bill text has been reported, so scope, standards and who would qualify as an “independent expert” are unknown.

What it could mean for researchers, universities and research offices

The following is editorial interpretation, not reporting from the source:

  • Independent testing. If a testing requirement advanced, it could create demand for external evaluators, which universities and research institutes may be asked to supply. Whether academic groups would qualify is not stated in the reporting.
  • Data-centre and electricity provisions. Institutions that run or lease large compute facilities, or negotiate power contracts, would want to watch whether any cost-protection language reaches them. Nothing reported yet addresses research computing specifically.
  • Science committee leadership. A change in House Science Committee leadership would shape hearings and any legislation touching federally funded AI research. Lofgren’s stated aim pairs regulation with fostering innovation.
  • Appropriations riders. If AI provisions travel with spending bills, research offices tracking federal funding conditions would need to read the final appropriations text rather than stand-alone bills.

Practical step for research offices: nothing changes in compliance obligations today. Monitor bill introductions after the new Congress convenes in January and the committee assignments announced before then, and avoid planning around provisions that have not been written.

Sources

Referenced across the research world

University of Cambridge logoColumbia University logoCrossref logoUniversity of Edinburgh logoHarvard University logoUniversity of Oxford logoPrinceton University logoStanford School of Medicine logoUniversity College London logoORCID logoUniversity of Cambridge logoColumbia University logoCrossref logoUniversity of Edinburgh logoHarvard University logoUniversity of Oxford logoPrinceton University logoStanford School of Medicine logoUniversity College London logoORCID logo
  • University of Cambridge logo
  • Columbia University logo
  • Crossref logo
  • University of Edinburgh logo
  • Harvard University logo
  • University of Oxford logo
  • Princeton University logo
  • Stanford School of Medicine logo
  • University College London logo
  • ORCID logo

View CASRAI adoption →