虎嗅

Young people spending 20,000 yuan on AI training courses didn't get the promised job guarantees.

原文:花2万报AI培训班的年轻人,没有等到“包就业”

Hello! I'm your financial news analysis assistant. This report from Shenzhen Weishiguang reveals a carefully crafted "trap" beneath the glamorous facade of the current AI training market.

To make it easier for you to understand, I've summarized the core logic of this long article and then broken down the tricks, risks, and difficulties in seeking legal redress into five key points, explained in plain language.

📝 Summary of Key Points

In a nutshell: A new type of scam known as "recruitment-to-training" has emerged in places like Shenzhen. Scammers take advantage of young people's anxiety about the AI industry and job prospects, using fake job listings to lure them into signing unfair "employment service contracts" and charging high fees. The quality of training is extremely poor, and participants are often placed in small companies with fabricated resumes. As a result, they are fired due to lack of skills, ending up not only without earning any money but also in debt, with very limited possibilities for seeking compensation.

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🔍 In-Depth Analysis of the AI Training Scam

1. Bait and Trap: From "Free Pre-employment Training" to "Exorbitant Service Fees"

Many young people think they're going for an interview but end up falling for a "training loan" scam.

  • How it works:
  • Targeted approach: Scammers don't make random calls; they usually obtain your resume information from job recruitment platforms or create fake job listings through affiliated companies, targeting those with mismatched skills, urgent career changes, or a desperate need for a job.
  • Manipulative rhetoric: They pretend to be HR, promising "learning for beginners," "100% job placement," and a monthly salary of over ten thousand yuan. They emphasize that they are a "talent service company" rather than a "training institution" to avoid regulatory scrutiny.
  • Fees: The so-called "free pre-employment training" is a decoy. Once you attend, you're forced to sign an "Employment Service Agreement," with fees ranging from twenty to thirty thousand yuan, often requiring you to take out a loan or pay in installments after starting work. For example, in the case mentioned, you pay 16,900 yuan upfront and then 2,450 yuan per month for eight months.
  • Reality: This is not recruitment; it's sales. Your role changes from a job seeker to a consumer, one who has been coerced into making a purchase.

2. Watered-down Courses: Using "Outdated Knowledge" and "Free Resources" to Profit from Anxiety

You spend tens of thousands of yuan, only to learn content that's probably free or even outdated on platforms like Bilibili and GitHub.

  • Content quality: The training provides very basic knowledge, such as outdated techniques (e.g., basic text classification, simple RAG applications). The AI industry is evolving rapidly, and companies need modern engineering skills and practical experience, which these courses cannot provide.
  • Resource manipulation: Many courses are just compilations of free online tutorials and open-source materials, packaged in new PPTs and sold at high prices.
  • Lack of practical experience: Real AI development requires hands-on practice, model debugging, and data handling, which are rarely covered in these courses. Teachers often only discuss the theoretical framework, leaving students with little opportunity to write code or deploy projects.
  • Industry reality: High-level AI positions (e.g., at DeepSeek, Zhipu) require advanced education, research papers, and practical experience, which these courses cannot help you acquire. For AI application development, self-taught engineers can learn much more effectively through open-source communities, making it a more cost-effective option.

3. Illusory Job Placement: Fake Resumes Lead to Short-lived Jobs

The so-called "job placement" actually involves teaching you how to fabricate resumes and getting you into small companies for trial periods, with a high likelihood of being fired.

  • How it works:
  • Resume fraud: Training institutions provide templates and guide students to create fictitious work experience and length of service.
  • Target companies: They steer you towards small companies that are unwilling to conduct thorough background checks.

Trial periods as endings: If your skills are inadequate or your resume is exposed, you're likely to be fired during the trial period (1-3 months).

  • Data support: Most students are fired within 1-2 months. Those who stay do so because of their prior skills and additional self-study.
  • Market trends: The AI boom in the first half of the year created opportunities for scammers, but as the market cooled down, these poorly trained graduates found it even harder to find jobs.

4. A Legal Maze: A Carefully Designed "Compliant" Shell

Why is it so difficult to file a complaint? Scammers separate the recruitment and training processes, turning loans into "service fees" to evade regulations.

  • Legal structure:
  • Entity separation:
  • Company A (recruiter): Responsible for making calls, posting fake jobs, and attracting candidates. They are registered in Luohu but have no actual office.
  • Company B (trainer): Responsible for signing contracts, collecting fees, and conducting training. They are registered in Longgang and also have their offices there.
  • Consequences: If you complain in Luohu, they say the training took place in Longgang; if you complain in Longgang, they say the recruitment was done in Luohu, and Company B's actions are difficult to classify as fraudulent recruitment. This creates a regulatory loophole.
  • Avoiding loan regulations: The state prohibits training institutions from using loans for off-campus training. However, Company B avoids using loan contracts, instead signing "employment service fee installment agreements." Since no third-party financial institution is involved, there are no interest or guarantees, making it hard for financial regulators to classify it as a loan violation.
  • Contract terms:
  • Unequal obligations: The company's obligation is to "recommend" and "guide" (process-related), not to guarantee job placement; the student's obligation is to pay.
  • Ambiguous definitions: Even if you receive an offer (even an informal one, an internship, or a trial job), or if you find a job on your own, it's considered a successful placement, triggering the payment obligation.
  • Exclusions: If you accept a low-paying job due to pressure, it's considered voluntary, and the company is exempt from liability. If you're fired, the payment obligation is binding as long as you've worked there at least once.

5. Difficulties in Seeking Redress: Lack of Evidence, High Costs, and Legal Barriers

Recovering your money is not easy; this is an unfair legal battle.

  • Challenges:
  • Evidence gaps: Verbal promises of job placement and high salaries are hard to prove if not documented in the contract or recorded. If the promotional materials are not included in the contract or recordings are incomplete, courts may not recognize it as fraud.

Contract complexity: You can only sue Company B, as they signed the contract with you, making it difficult to involve Company A. Courts struggle to examine the entire recruitment-to-training chain in one case.

Burden of proof: You must prove that the company acted with intent, deceived you, and that you made a mistaken decision based on that deception. This is a high standard in legal proceedings.

Risk of breach of contract: If you stop making payments, the company can sue you for breach of contract, demanding you pay the remaining fees, penalties, and attorney fees. Many students continue to pay out of fear, falling into a cycle of debt.

Time and cost: Legal proceedings are time-consuming and costly, which can be detrimental to young people in urgent need of a job.

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💡 Tips for Avoiding Scams

1. **Be wary of "High salaries with low entry barriers": If a company offers "learning for beginners," "100% job placement," and no rigorous interviews, it's likely a scam.

2. Verify qualifications: Check with official platforms like "Shenzhen Human Resources" to see if the company has the necessary qualifications as a training institution. If not, and they still charge you, it's a scam.

3. Identify the contracting parties: If the recruiter and trainer are different companies, and you sign a "service agreement" rather than an employment or training contract, it's likely a "recruitment-to-training" scam.

4. **Refuse any form of "employment loans" or "installment service fees": Be extremely cautious of any training that requires you to pay upfront or in installments after starting work.

5. Keep records: If you've already fallen for the scam, keep all chat records, recordings, promotional screenshots, and the original contract. Although legal redress is difficult, a complete evidence chain is your best chance for compensation.

6. Self-study is better than quick fixes: AI technology evolves rapidly. The best resources are open-source communities, official documentation, and practical projects. Spending thousands on a quick-fix scam is less effective than investing in books and free learning materials to build your skills.

Final reminder: Anxiety is natural in the AI industry, but don't let it become a tool for scammers. Real opportunities belong to those who are down-to-earth and continuously learning, not those who believe that paying will guarantee success.