Latest action: Referred to the House Committee on Energy and Commerce.
Referred to one or more standing committees for review, hearings, and possible markup.
Specific committees not parsed from action data.
The committee may hold hearings, amend the bill, or let it die without action.
Next: Reported
Full chamber floor — Speaker / Majority Leader controls scheduling
Requires AI-generated content to be labeled as such using metadata or other technical methods.
The problem
AI-generated content is becoming widespread, making it hard for people to know what was created by artificial intelligence versus humans.
The proposal
The bill mandates that AI-generated content must be labeled clearly through metadata, digital markers, or other technological means so users can identify it.
The impact
Content creators, tech companies, and social media users will be affected. Creators must add labels. Companies must implement labeling systems. Users gain transparency about content sources.
People can see which content was made by AI, helping them make informed decisions about what they read and share. This reduces confusion and potential misinformation.
Labeling AI content helps protect human artists, writers, and creators from unfair competition by making clear what is human-made versus machine-generated.
Transparency about AI use helps the public trust digital content and platforms more. It supports honest communication between tech companies and users.
Labeling requirements make it harder for bad actors to use AI-generated deepfakes or false content to deceive people for profit or politics.
Tech companies and content creators must develop or buy labeling systems, which costs money. Smaller companies may struggle more than large ones to afford compliance.
Not all AI content can be easily tracked or labeled, especially if it's been edited. The bill doesn't explain how to handle blended human-AI content.
Enforcing labeling rules globally is difficult. People can remove labels, and tracking violations across the internet would require significant government resources.
Heavy labeling requirements might discourage AI companies from developing new tools if compliance becomes too expensive or complicated.
Generated by AI from the bill text. Not a prediction and not legal or policy advice. The percentage is the model's own rating of each item — self-reported, and not a measure of how accurate it is.
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Individual contributions, grouped by employer · FEC
Where their individual donors work · 2026 cycle
Money from people who work there, not from the company. Not tied to this bill.
Itemized individual contributions via FEC, grouped by the employer each contributor self-reported. Companies and unions cannot contribute to federal candidates from their treasuries, so these totals are money from people who work at an employer — never from the organization itself. They are campaign contributions covering a full election cycle and are not connected to this bill.
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