AI-Powered Rental Property Management Fund Pool Scam: Disappearing After Collecting High Upfront Management Fees

Who Gets Targeted

The primary victims are middle-class urban landlords owning one or two idle properties, mostly aged 40 to 60, who are unfamiliar with internet-based leasing and seek a 'worry-free' rental income. The second group consists of young tenants new to the city, lured by promises of 'AI-matched quality housing, no agency fees, and monthly payments with no deposit.' Both groups share a psychological vulnerability to convenience and premiums: landlords are swayed by guaranteed rents 10% to 20% above market rates, while tenants are tempted by listings priced significantly below market value. Both groups lower their guard due to the AI system interfaces, electronic contracts, and 'intelligent tenant rating systems' presented by the scammers, mistakenly equating a tech platform with professional qualification. Ultimately, after the scammers disappear, both parties are left with neither money nor property, trapped in eviction disputes.

骗局怎么运作

• Step 1: Scammers register companies with 'AI' or 'Smart Manager' in their names, build websites and mini-programs with valuation demo pages, and run ads on short-video platforms promising 'AI-powered one-click management, passive income for landlords.' They use fake transaction screenshots and forged yield curves to attract landlords to sign contracts.
• Step 2: Sales agents persuade landlords with guaranteed rents 10% to 20% above market rates, requiring a one-time payment of tens of thousands in 'system access fees, smart device fees, and annual management fees,' using the pitch: 'AI valuation shows your property is undervalued; we handle everything, you just collect the money.'
• Step 3: The platform simultaneously lists a large number of low-priced properties to attract tenants. Tenant profiles and reviews are generated in bulk by AI. Tenants are required to pay annually or semi-annually in exchange for 'first month rent-free,' creating a cash flow mismatch where landlords are paid quarterly while tenants pay annually.
• Step 4: Initially, the platform pays small amounts of rent to landlords on time to maintain trust and encourages some landlords to become referrers, promising management fee rebates for new clients. Using these personal endorsements, they rapidly scale the number of paying landlords and tenants, causing the fund pool to swell.
• Step 5: When new sign-ups slow down and outflows exceed inflows, customer service response times increase, and payments are delayed under the pretext of 'system upgrades.' Subsequently, the office is vacated, the mini-program is shut down, and the operators disappear. Landlords' management fees and tenants' prepaid rents are stolen, leaving both parties to fight over the losses with little hope of recovery.

红旗信号（看到这些快跑）

• 🚩 Guaranteed rent is significantly higher (over 10%) than the market rate for the same neighborhood, with the only justification being an 'AI valuation report' while refusing to provide real transaction data.
• 🚩 Requirement to pay tens of thousands in management fees, system access fees, or smart device deposits upfront, often to personal accounts or accounts inconsistent with the contract entity.
• 🚩 Tenant reviews on the platform feature identical profile pictures and highly consistent writing styles, failing reverse image searches and suggesting AI-generated fake accounts.
• 🚩 Tenants are pushed to pay annually or semi-annually for discounts, while landlords are promised monthly or quarterly rent payments—a classic 'long-collection, short-payment' cash flow mismatch.
• 🚩 The company has a short operating history, registered capital is subscribed but not paid in, it lacks housing rental filing qualifications, the contract entity does not match the advertised brand name, and no regulatory filing information can be found.

真实案例

• The 2020 collapse of Danke Apartment was widely reported by media. It used a 'high-intake, low-payout' and 'long-collection, short-payment' model combined with rental loans. Hundreds of thousands of units were affected, with many landlords unpaid and tenants forced to vacate. It remains a landmark case of this model's failure, verifiable via the China Judgements Online and major financial media.
• According to public reports, the Shanghai 12345 citizen service hotline received 28,403 deposit-related complaints in one year. Data from the Consumer Protection platform shows that contract disputes account for 17.33% of rental-related complaints, ranking first and reflecting the high frequency of disputes in management and deposit segments.
• In May 2026, police in a certain city reported a rental scam: after a suspect impersonated a landlord to collect a deposit, they asked an AI, 'Will I get caught?' Police tracked the suspect down and issued a warning for tenants to verify original property deeds and ID cards and to avoid private transfers outside the platform.
• According to media reports in 2026, tactics such as unauthorized subletting by 'second landlords,' 'zero agency fee' long-term apartments hiding 10% service fees, and unfair deposit deductions have continued to evolve with the rise of AI rental concepts. Consumer organizations in various regions have issued warnings for both landlords and tenants to conduct mutual verification.
• In May 2026, the Chengyang Branch of the Qingdao Public Security Bureau, Shandong Province, dismantled a scam ring operating a rental fund pool via 'high-intake, low-payout' and 'short-payout, long-intake' methods. Seven people were arrested, over 70 cases were solved, and the amount involved exceeded one million yuan. The company rented properties above market price and sublet them below market price, disappearing after collecting annual rent from tenants while paying landlords only 1-2 months of rent. (Source: https://m.21jingji.com/article/20260611/herald/668dffdfc240023c9d58ed0f755573f2.html)
• In September 2020, the Pudong Branch of the Shanghai Public Security Bureau launched an investigation into Shanghai Yuyi Property Management Co., Ltd. after its 'high-intake, low-payout' fund pool collapsed and its headquarters were abandoned. The company collected one year of rent from tenants at a low price and paid landlords monthly at a high price. According to CCTV Finance, the estimated amount involved reached billions of yuan, affecting Shanghai, Hangzhou, Suzhou, and Hefei. (Source: https://m.mp.oeeee.com/a/BAAFRD000020200914363123.html)

Official Stance

• In May 2026, public security authorities in a certain region reported the case of a fake landlord asking an AI if they would be caught after collecting a deposit, and issued anti-fraud warnings urging the use of formal platforms and verification of property ownership documents.
• In 2026, Shanghai 12345 hotline data disclosed 28,403 deposit-related complaints in one year, leading market regulators to issue warnings regarding risks associated with housing rental prepayments and deposits.
• Housing and urban-rural development departments have repeatedly issued risk warnings for the rental market in recent years, explicitly warning against 'high-intake, low-payout' and 'long-collection, short-payment' business models, and requiring rental companies to establish fund supervision accounts in banks.
• In 2026, consumer associations in various regions issued rental consumption warnings, noting that charging high service fees under the guise of AI valuation and smart management lacks regulatory backing, and advising consumers to verify corporate filing qualifications.

How to Protect Yourself

• ✅ Before signing, check the local housing and urban-rural development department's rental supervision platform to verify corporate filings, professional qualifications, and complaint records. Refuse to sign management agreements with unregistered institutions or those in business for less than a year.
• ✅ Insist on the separation of banking and evidence: ensure all management fees and rent are transferred to the company's official corporate account and request invoices. Require rent to be deposited into a bank-supervised fund account; never transfer money to personal accounts.
• ✅ Landlords should insist on monthly or quarterly rent settlements; tenants should insist on monthly or quarterly payments. Both parties should reject 'long-collection, short-payment' arrangements that offer discounts for annual payments, cutting off the conditions for fund pool formation at the source.
• ✅ Verify property ownership on-site; require landlords to present original property deeds and ID cards and check for consistency. Perform reverse image searches and timeline checks on tenant reviews and transaction screenshots displayed by the platform to identify AI-generated content.
• ✅ Clearly define termination clauses and refund timelines in the contract. If signs of payment delays, unresponsive customer service, or abnormal office addresses appear, stop further investment immediately and report the case to the housing and urban-rural development department and the 12315 consumer hotline.