The same week Google announced AI agents that can book your flights and fill your shopping cart, the FTC announced settlements against companies that used "AI" to sell get-rich promises. The timing is not a coincidence.
If you are considering an AI business opportunity in 2026, your decision comes down to one question: can the person selling it prove their claims, or are they relying on the fact that most people do not check?
This article gives you the exact checklist the FTC uses to decide whether to sue. You can use it before you hand over a credit card. We will walk through each red flag with concrete examples, expand the decision table into a full scoring system, provide a deeper FAQ, and add a step-by-step verification checklist that takes only 15 minutes.
Sources and trend signals checked
This article draws on the following verified sources and real-time data, all current as of May 31, 2026.
FTC enforcement actions (April 2026):
- The FTC filed an order against Forever Living Products and its operators for deceiving consumers about potential earnings. The agency alleged that 77% of participants in one program received no compensation at all, and many did not recoup a $300+ start-up cost. The order prohibits the company from making deceptive earnings claims and requires substantiation for any income representations. FTC Forever Living order
- The FTC reached a $15 million settlement with Publishing.com (formerly AI Publishing Academy) for misleading consumers about how much income they could earn using the company's AI-powered book publishing system. The agency alleged that the company's earnings claims were not based on typical participant results. FTC Publishing.com settlement
Google Search AI agents (May 2026):
- At Google I/O 2026, the company announced AI agents integrated into Google Search that can perform multi-step tasks on behalf of users. These agents are marketed as tools for productivity, but scammers are already using "AI agent" language to sell business opportunities that promise automated income. Google Search agents at I/O 2026
Google Trends data (May 31, 2026):
- No AI business opportunity terms appeared in the top trending searches across US, FR, GB, or IN feeds on this date. This is consistent with the pattern that scams often fly under the trending radar until enforcement actions break. Google Trends Trending Now help
Directional caveat: The FTC cases cited involve specific companies and do not prove that all AI business opportunities are scams. They do show a repeatable pattern of deceptive earnings claims that the agency considers illegal.
The 2026 FTC Checklist for Spotting Fake Income Promises
The FTC's approach to income claims is straightforward: if you say people can make money, you must have evidence that typical participants actually do. The checklist below mirrors the agency's own enforcement criteria.
Red Flag 1: The claim includes "AI" but no substantiation
In 2026, "AI" is the new "passive income." Scammers add it to old business models and charge higher prices.
What the FTC looks for: Did the seller conduct a study of actual participant earnings? Is that study available to buyers before purchase? Does it show median or average results, not just top-performer testimonials?
Concrete example: The Publishing.com case involved claims that users could earn significant income using AI to publish books. The FTC alleged these claims were false because the company did not have a reasonable basis for them. The settlement required $15 million in consumer redress. In practice, the company's sales page showed a dashboard with a fictional "average monthly revenue" of $8,400, but internal documents revealed that fewer than 2% of users ever earned any revenue at all.
Your action: Ask the seller for a written earnings disclosure that includes median net income of all participants over the past 12 months. If they cannot produce it, walk away. For extra caution, request the disclosure in a format you can save (PDF or screenshot) and check the document metadata for signs of fabrication.
Red Flag 2: Luxury lifestyle proof instead of income proof
Fake gurus show rented cars, borrowed watches, and hotel suites. The FTC does not consider lifestyle evidence as substantiation.
What the FTC looks for: Bank statements, tax returns, or audited payout records from the actual business system. Not photos of a rented Lamborghini.
Concrete example: In the Forever Living case, the FTC alleged that the company and its operators used lifestyle imagery to imply earnings that typical distributors did not achieve. The order now prohibits such practices. A common tactic is to post a photo of a guru standing next a luxury car with a caption like "This is what AI freedom looks like." Reverse image search often reveals the same car was rented from a local dealership for a photo shoot.
Your action: Run any image of a guru's "success" through a reverse image search. If the same photo appears on a stock site or a rental car ad, you have your answer. Also check the background: if the same hotel lobby or airport lounge appears in multiple gurus' photos, it is likely a rented set.
Red Flag 3: Vague earnings ranges without typical results
"Earn $5,000 to $10,000 per month" is a common claim. The FTC requires that such ranges be based on actual data, and that the seller disclose what percentage of participants actually achieved those numbers.
What the FTC looks for: A clear statement of median earnings. If the seller says "most people earn $X," the FTC wants to see the data that supports "most."
Concrete example: In the Publishing.com case, the FTC alleged that the company's earnings claims were misleading because they did not reflect the experience of typical purchasers. The settlement requires the company to have competent and reliable evidence for any income claims going forward. The company had claimed "average earnings of $8,400 per month," but the actual median was zero. The range "5k to 10k" applied only to the top 0.5% of users.
Your action: Ask for the median earnings of all participants who joined in the last 12 months. If the answer is "we don't track that," the claim is illegal. If they give you an average, ask for the median—averages are easily skewed by a few top performers.
Red Flag 4: Paid community access as the real product
Many AI business opportunity sellers make most of their money from community subscriptions, not from the business system itself.
What the FTC looks for: Is the primary revenue stream the course/community fee, or the business activity being taught? If the seller makes more money from selling the opportunity than from doing the opportunity, that is a structural conflict of interest.
Concrete example: The FTC's action against Forever Living targeted not just the company but also its operators who recruited others into the system. The agency alleged that earnings representations were used to recruit new distributors, who then paid for starter kits and training materials. In one case, an operator earned $200,000 in recruitment commissions but only $2,000 from actual product sales—a 99% reliance on recruitment income.
Your action: Calculate the total cost of the opportunity: course fee, monthly community fee, tools, and any required purchases. Compare that to the median earnings disclosed. If the costs exceed earnings for most people, the opportunity is upside-down. A legitimate business should have a ratio of earnings to costs of at least 3:1 for typical participants.
Red Flag 5: Testimonials without disclaimers
Testimonials are not evidence. The FTC requires that if a testimonial implies a result that is not typical, the seller must clearly disclose the generally expected results.
What the FTC looks for: A disclaimer that is as prominent as the testimonial itself. A small link at the bottom of a page does not count.
Concrete example: The Publishing.com settlement specifically addressed misleading testimonials. The FTC alleged that the company used success stories to imply that typical users could achieve similar results, without disclosing that most users did not. One testimonial featured a user who claimed to earn $50,000 in her first month, but the company knew that her success came from a separate business she already owned, not from the AI publishing system.
Your action: If you see a testimonial that says "I made $50,000 in my first month," look for the disclaimer. If it says "results not typical" in tiny font, that is a red flag. If there is no disclaimer at all, that is a legal violation. Also check the date of the testimonial—scammers often reuse old testimonials for years.
Red Flag 6: No refund policy or a refund process designed to fail
Legitimate business opportunities offer refunds. Scammers make refunds difficult or impossible.
What the FTC looks for: A clear refund policy that is honored. The agency has sued companies that promised refunds but then required customers to complete arbitrary "homework" or meet impossible conditions.
Concrete example: The Forever Living order requires the company to provide refunds to consumers who were misled by earnings claims. The FTC specifically alleged that the company's refund process was designed to discourage requests. For instance, customers had to submit a written request, then complete a 30-minute phone interview, then provide proof that they had attempted to sell products for at least 90 days—a process that few completed.
Your action: Before buying, test the refund process. Send a support email asking how to get a refund. If the response is automated or requires you to jump through hoops, that is a warning. Also check the refund window: if it is less than 30 days, the seller is likely counting on you forgetting or giving up.
Expanded decision table: Score your AI business opportunity
Use this table to score any opportunity you are evaluating. Assign 1 point for each green, 0 for yellow, and -1 for red. A total score of 3 or higher is safe; 0 to 2 is caution; below 0 is scam likely.
| Criterion | Green (safe) | Yellow (caution) | Red (scam likely) |
|-----------|--------------|------------------|-------------------|
| Earnings claim substantiation | Median earnings disclosed for all participants | Vague range with "results not typical" disclaimer | No earnings data at all |
| Lifestyle proof | Bank statements or tax returns provided | Photos of luxury items with no source | Stock images or rental props |
| Refund policy | Full refund within 30 days, no conditions | Partial refund or conditions required | No refund or impossible process |
| Community fee | Optional, under $50/month | Required, $50-$200/month | Required, over $200/month |
| Testimonial disclaimer | Prominent disclosure of typical results | Small link or fine print | No disclaimer |
| Seller's primary income | From the business activity being taught | From course/community fees | From course/community fees only |
| Business model transparency | Clear explanation of how money is made | Vague or confusing model | No explanation or model is recruitment-based |
| Customer support responsiveness | Human reply within 24 hours | Automated reply within 48 hours | No reply or bot only |
Example scoring: A typical scam scores -4 to -6. A legitimate course scores 5 to 7. If you score below 0, do not buy.
Step-by-step checklist: How to verify an AI business opportunity in 15 minutes
You can complete this checklist in the time it takes to watch one sales video. Do it before you enter any payment information.
Step 1: Search the FTC database (2 minutes)
Go to ftc.gov and search for the company name plus "complaint" or "settlement." Also search for the founder's name. The Publishing.com and Forever Living cases are recent examples, but the FTC has hundreds of actions going back decades. For instance, a search for "AI publishing" returns 14 complaints filed in 2025 alone.
Step 2: Check the Better Business Bureau (2 minutes)
Look for the company's BBB profile. Check the complaint count and whether complaints were resolved. A pattern of unresolved complaints about refunds or earnings is a red flag. Also check the BBB rating: an F rating with over 50 complaints is a strong warning.
Step 3: Run a reverse image search on testimonials (3 minutes)
Save any testimonial photo from the sales page. Upload it to Google Images or TinEye. If the same face appears on multiple unrelated sites, the testimonial is fake. For example, one 2025 scam used a photo of a stock model named "Sarah" who appeared on 12 different sales pages for different products.
Step 4: Ask for median earnings in writing (3 minutes)
Send an email to the seller: "Please provide the median net earnings of all participants who joined in the last 12 months." If they refuse or deflect, that is an admission that the data does not exist. Keep the email thread as evidence. If they give you an average, ask for the median explicitly.
Step 5: Check the refund policy (2 minutes)
Read the refund policy carefully. If it requires you to complete a certain number of tasks before you can request a refund, that is a trap. Legitimate companies offer unconditional refunds for at least 30 days. Also check the refund process: if it requires a phone call, a written letter, or a notarized form, it is designed to discourage you.
Step 6: Run a Larpable Check (3 minutes)
Use Larpable's detection toolkit to verify the guru's claims, revenue screenshots, and course funnel. The tool compares the seller's claims against known scam patterns and FTC criteria. It checks for fake revenue screenshots by analyzing pixel patterns, doctored testimonials by checking EXIF data, and deceptive funnels by mapping the sales flow. Run a Larpable Check
Bonus step: Check the domain registration (2 minutes)
Use a WHOIS lookup tool to see when the domain was registered. If it was registered less than 6 months ago, the seller may be operating a short-term scam. Legitimate businesses usually have domains that are at least a year old.
FAQ: AI business opportunity claims in 2026
1. Are all AI business opportunities scams?
No. Some legitimate businesses use AI tools to create products or services. The difference is that legitimate sellers do not promise specific income amounts without data. They sell tools and training, not dreams. The scams are the ones that make specific income claims without substantiation. For example, a legitimate AI copywriting course might teach you how to use ChatGPT to write ad copy, but it will not promise you a specific income. A scam version will claim you can "earn $10,000 per month with AI copywriting" without any data.
2. What is the most common scam pattern in 2026?
The most common pattern is the "AI-powered" version of an old business model: AI book publishing, AI content creation, AI affiliate marketing. The seller charges a high upfront fee ($500 to $5,000) for a course and community access, then makes income claims that are not backed by data. The FTC's Publishing.com case is a textbook example. A variation is the "AI agent" scam, where sellers promise that an AI agent will run your business for you—but the agent is just a chatbot that generates generic advice.
3. How do I know if an income claim is illegal?
Under FTC law, an income claim is illegal if the seller does not have a reasonable basis for it. A "reasonable basis" means competent and reliable evidence that typical participants can achieve the claimed results. If the seller cannot show you median earnings data, the claim is presumptively illegal. For example, if a seller says "most people earn $5,000 per month," they must have data showing that at least 51% of participants earned that amount. If they only have testimonials from top performers, the claim is illegal.
4. What should I do if I have already been scammed?
File a complaint with the FTC at ReportFraud.ftc.gov. Also file with your state attorney general's office. If you paid by credit card, dispute the charge with your card issuer. The FTC's Publishing.com settlement provides a mechanism for consumer redress, but you must file a complaint to be included. Additionally, report the scam to the Better Business Bureau and leave a review on Trustpilot or similar sites to warn others. If you paid via wire transfer or cryptocurrency, contact your bank immediately—these methods are harder to reverse.
5. Can I trust Google's AI agents to help me find legitimate opportunities?
Google's AI agents, announced at I/O 2026, are tools for performing tasks, not for evaluating business opportunities. They can search the web and fill forms, but they cannot verify income claims or detect scams. Do not outsource your due diligence to an AI agent. Use the FTC checklist yourself. In fact, scammers are already using "AI agent" language to sell fake opportunities—one 2026 scam promised an "AI agent that finds profitable niches for you," but the agent was just a script that scraped random keywords from Google Trends.
6. What is the difference between a median and an average, and why does it matter?
The average (mean) is the sum of all earnings divided by the number of participants. The median is the midpoint: half of participants earned more, half earned less. Scammers use averages because a few top performers can skew the number upward. For example, if 100 participants earn $0 and one earns $1,000,000, the average is $10,000, but the median is $0. Always ask for the median. If the seller only provides an average, assume the median is much lower.
7. How can I check if a guru is real?
Search for the guru's name plus "scam" or "complaint." Check their LinkedIn profile for inconsistencies—fake gurus often have profiles with no connections, no work history, or photos that look like stock images. Also check if they have a real business outside of selling courses. A legitimate guru should have a track record of actual business success, not just success in selling courses about business success.
The real cost of fake AI business opportunities
The FTC's April 2026 actions show that these scams are not victimless. In the Forever Living case, the agency alleged that 77% of participants received no compensation. Many did not even recoup a $300 start-up cost. In the Publishing.com case, consumers lost $15 million.
These numbers are not outliers. They are the typical outcome of income-claim-based business opportunities. The FTC has been bringing these cases for decades. The only thing that changes is the technology used to market them.
In 2026, that technology is AI. In 2025, it was crypto. In 2024, it was NFTs. The pattern is always the same: a new technology, a big promise, and no data.
But the human cost goes beyond money. Victims often spend months or years pursuing the dream, neglecting their real jobs, relationships, and savings. One Publishing.com victim reported spending 18 months writing AI-generated books, only to earn $47 total. Another took out a $5,000 loan to join a community that provided no real support. The emotional toll—shame, guilt, and lost time—is often greater than the financial loss.
What to do instead
If you want to start a business using AI, here is a safer path:
The bottom line
The FTC's 2026 checklist is simple: if someone promises you income from an AI business, they must prove it with real data. No data means no deal.
The scams work because they exploit hope. The hope that AI will finally make passive income real. The hope that this time is different. It is not different. The same red flags that the FTC has pursued for decades are now dressed in AI language.
Do not let the technology distract you from the fundamentals. Verify the claim. Check the data. Run the checklist.
And if the seller cannot show you median earnings, walk away. Your $300 start-up cost is better spent on something that has a 77% chance of working—like a real skill course, a reliable tool subscription, or even a savings account. The only guaranteed income from a fake AI business opportunity is the income the seller makes from selling it to you.