"AI stock" has no official definition. The phrase is applied to companies as different as chip designers, cloud providers, software makers, and firms that mention AI once in a press release, and the regulator materials reviewed define no such category. Regulators have instead warned that AI-related claims are used to lure investors, and the Canadian Securities Administrators (CSA) call exaggerated claims "AI washing." This article explains what the label can and cannot tell a reader; it names no company and gives no investment advice.
Key takeaways
- The label is informal, so two lists of "AI stocks" can share almost no companies.
- A joint alert from the SEC, NASAA, and FINRA dated January 25, 2024 warns of fraud built on claims about AI, including unregistered platforms and pump-and-dump schemes.
- CSA Staff Notice 11-348, published December 5, 2024, says AI disclosure by reporting issuers should be tailored to the company, not boilerplate.
- Public filings, not marketing copy, are where a company's actual AI exposure and risks are stated.
Why the label means little by itself
A company can relate to AI in very different ways. It can sell the hardware that models run on, rent out computing capacity, build and sell models, add AI features to an existing product, or simply use AI tools internally. Each relationship has different revenue sources and different risks. Grouping them under one phrase hides those differences, and a fund or article that uses the phrase has made its own selection rule, which may or may not be stated.
The CSA notice offers one workable definition of the technology itself: a machine-based system that, for explicit or implicit objectives, infers from its input how to generate outputs such as predictions or recommendations. That definition says what an AI system is. It does not say how much of a company's income depends on one, and that second question is the one the label skips.
What Canadian regulators expect in company disclosure
CSA Staff Notice and Consultation 11-348, published December 5, 2024, applies existing securities law to AI. It is a staff notice and states that it creates no new legal requirements. For reporting issuers other than investment funds, it says disclosure should be tailored to the company and match the materiality of its AI use, and it treats information as likely material if a reasonable investor's decision to buy, sell, or hold would probably change if the information were left out or misstated.
The notice lists examples of useful disclosure: how the company defines AI and whether its systems are built in-house or supplied by a third party; the material risks and the controls meant to manage them; the likely effect on the business, results, and financial condition; and the assumptions behind any forward-looking statements about future AI use. It describes AI washing as inaccurate, false, misleading, or embellished claims that imply a competitive advantage from AI, which may amount to a misrepresentation under securities law. The CSA said it would monitor continuous disclosure filings for such claims as part of its review program.
What the US joint alert warns about
The investor alert issued January 25, 2024 by the SEC's Office of Investor Education and Advocacy, the North American Securities Administrators Association, and FINRA names four patterns. Unregistered platforms promote "AI trading systems" with claims of guaranteed results. False statements about a public company's AI products may be part of a pump-and-dump scheme, in which promoters spread positive but false information, then sell their own shares. Microcap stocks are described as especially exposed, because little public information exists about them. Celebrity or influencer endorsements are not evidence that an investment is legitimate. The alert also describes deepfake audio and video used to impersonate relatives or company executives.
It tells readers to check registration through the SEC investor education pages, or, in Canada, the CSA National Registration Search, and to read public-company disclosures in the SEC's EDGAR database. It also says to be wary of claims that AI guarantees returns, even when they come from registered firms.
Illustrative questions for three common company types
The table is an illustrative framework, not a classification used by any regulator. It shows what a reader might look for in a company's annual report or filings for each type of AI relationship.
| Relationship to AI (illustrative) | Where to look in filings | Question to ask |
|---|---|---|
| Supplies hardware or computing capacity to AI developers | Revenue breakdown by segment; customer concentration notes | How much revenue comes from a few buyers, and what do the risk factors say if that demand changes? |
| Builds or sells AI models or tools | Business description; research and development spending; risk factors | Are AI products a stated revenue line, or only a feature of other products? |
| Uses AI inside operations | Management discussion; forward-looking statements | Is the benefit measured in the filing, or only described in marketing? |
A checklist for reading an AI claim
- Does the claim appear in a regulatory filing, or only in advertising and social media?
- Is the company or promoter registered where required, and does a regulator's database confirm it?
- Does the filing separate AI revenue from other revenue, or use the term without numbers?
- Are risk factors specific to the company or generic?
- Is the pitch urgent, promising fast profit or guaranteed returns? The joint alert lists these as red flags.
- Is the source of the claim a paid or sponsored promotion?
This article provides general information about regulatory warnings. It is not investment, legal, or tax advice and does not recommend, rank, or predict the price of any security. Decisions about investing belong to a person and, where appropriate, a registered adviser.
FAQ
Is there an official list of AI stocks?
No official list was found in the regulator materials reviewed. The term is used by media, fund marketers, and promoters, each with a different rule for inclusion.
What is AI washing?
The CSA uses the term for inaccurate, false, misleading, or embellished claims about the use of AI, made to attract investors. Depending on the facts, such claims can be a misrepresentation under securities law.
How can registration be checked?
In the United States, the the SEC investor education pages tool called Check Out Your Investment Professional shows registration status and disciplinary history. In Canada, the CSA National Registration Search serves the same purpose, according to the joint alert.
Where does a public company state its AI risks?
In its regulatory filings. US companies file on EDGAR; Canadian reporting issuers file annual information forms and management discussion documents, which the CSA notice names as the main places for AI disclosure.
Related reading
- Ten AI technologies and what each does
- Artificial intelligence companies and their roles
- Deloitte AI Institute and its published research
- How AI is used in data science work
More in AI Basics.
Last verified: October 2026
Sources
- Artificial Intelligence (AI) and Investment Fraud: Investor Alert, SEC Office of Investor Education and Advocacy, NASAA, and FINRA, January 25, 2024
- CSA Staff Notice and Consultation 11-348, Applicability of Canadian Securities Laws and the Use of Artificial Intelligence Systems in Capital Markets, Canadian Securities Administrators, December 5, 2024