In plain English
- What happened
- The Federal Trade Commission has published guidance warning businesses against overstating what AI products can do, and in September 2024 it announced an enforcement sweep against companies making unsupported AI capability claims. The agency's earlier business guidance on AI claims lists specific questions companies should ask themselves before describing what an AI tool does.
- Why it matters to your business
- Small business owners make purchasing and process decisions off of AI news they read in passing, and that coverage ranges from a vendor's own page to a secondhand summary of a summary. A wrong claim about pricing, a capability, or a deadline costs real time and money to unwind, and the fix is a habit, not a tool.
- Do this
- Before changing a process or buying a tool based on an AI claim, trace it back to the vendor's own page or the regulator's notice and check the date on it.
There is no single tool that tells you an AI claim is true. The most reliable check is tracing the claim back to its original source — the vendor's own release notes, a regulator's filing, or the text of a law — rather than trusting a summary, a screenshot, or a confident headline.
AI news moves fast, and most of what crosses a feed is a summary of a summary. A product update gets rewritten by a blog, then clipped into a social post, and by the third or fourth retelling, "the company is testing a feature" has become "the company launched a feature." The gap between what was actually said and what gets repeated is where most inaccurate AI claims come from, more often than outright invention.
What regulators have already flagged
The FTC has been explicit that AI claims are a known area of deception, on both sides of the transaction — in products sold to a business and in claims a business makes about its own use of AI. In guidance published for businesses in 2023, the agency listed specific questions companies should ask before describing what an AI product can do, including whether the claim is exaggerated and whether it rests on reliable evidence.
In September 2024, the FTC announced an enforcement sweep called Operation AI Comply, bringing actions against companies the agency said made deceptive claims about what their AI tools could do, including promises that AI could generate guaranteed income. The action is a reminder that "AI-powered" is not itself proof of anything — the FTC treats an unsupported AI capability claim the same way it treats any other unsupported product claim.
Operation AI Comply, announced by the FTC in September 2024, is a named federal enforcement action against companies for deceptive AI marketing claims — not a general warning, but specific cases.
What counts as a primary source
A primary source is the document the claim actually comes from, not the article describing it. For a product claim, that is the vendor's own release notes, pricing page, or system card — the place where a company states what a tool does, what it costs, and what it was tested on. For a legal claim, that is the bill text, the agency notice, or the court filing, not somebody's interpretation of what it means.
Good reporting links to that original document for every factual claim it makes. If an article states a specific price, date, or capability and there is no link to a vendor page or an official notice behind it, that is worth treating as unverified rather than false. Most inflated AI claims are not fabricated out of nothing — they are just unchecked between the original document and the version that reaches you.
- 1
Find the original document
Locate the vendor's own page, pricing sheet, or official notice instead of the article summarizing it. If no link exists, search the vendor's site directly.
- 2
Check the verb
Announced, testing, rolled out, and launched mean different things. See which one the original source actually used, not the one the headline used.
- 3
Check the date on the source
Vendor pages reflect current status; articles about them do not update. A claim can be accurate and still six months stale.
- 4
Look for the regulator's own record
For a legal or regulatory claim, check the agency's own site — FTC, a state attorney general, a state legislature's bill tracker — rather than a secondhand description of what the rule does.
- 5
Ask who benefits from the claim being believed
Marketing copy and independent reporting read differently. A claim about a tool's own performance on the tool's own sales page deserves an extra pass before it shapes a decision.
I'm reading a claim about an AI tool: [paste the claim]. Tell me what you actually know about this versus what you're inferring. Tell me whether this is something you could verify from a specific document, and if you're not certain, say so directly instead of filling the gap with a plausible-sounding answer.
Reality check
No app or browser extension can grade an AI claim as true or false on its own; the check is still manual — open the source, read the date, see who wrote it and why. The step that catches the most problems is not a clever trick, it is simply checking when the source was last updated before acting on it.
Where to check first
Vendors with real claims to make generally put the proof close to the claim — a pricing page tied to a specific dollar figure, a release note tied to a specific date, a system card tied to a specific capability. If a claim cannot be traced to any of those, or the trail stops at another article rather than a primary document, that is a reasonable place to pause before changing anything.
None of this takes long once it becomes a habit. Most claims can be traced in under five minutes, and what that habit buys is the difference between changing a process because a tool can actually do something, and changing it because somebody wrote a confident sentence about it.
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