AI and the ‘New Quality Productive Forces’:
How to Vet Chinese Companies in the AI Race

China and the United States are neck and neck in the global AI race. China leads in research scale—accounting for more than half of the world’s AI researchers, nearly a quarter of total AI publications, and an impressive 70% of global AI patents. The country’s 15th Five-Year Plan (2026–2030) has made “Artificial Intelligence+” a national priority, embedding AI across every sector of the economy. For international investors, partners, and buyers, this presents a massive opportunity—but also a significant challenge. How do you separate genuine AI leaders from companies that are simply “AI-washing”—rebranding themselves as AI companies to attract investment and partnerships? This guide provides a practical framework for vetting Chinese AI companies, helping you make informed decisions in a market where hype often outpaces reality.

1. China’s AI Ambition: The ‘New Quality Productive Forces’

The concept of “New Quality Productive Forces” has become a central pillar of China’s economic strategy. It refers to productivity driven by technological breakthroughs, data, and innovation—with AI at its core. The 15th Five-Year Plan (2026–2030) calls for the comprehensive implementation of the “Artificial Intelligence+” initiative, aiming to integrate AI into manufacturing, healthcare, finance, logistics, and beyond.

China’s AI ecosystem is vast and rapidly evolving. As of late 2025, there were over 5,300 AI enterprises in China, including more than 400 National-level Specialized and Sophisticated ‘Little Giant’ enterprises—a government designation for specialized SMEs that are leaders in their niches. The country is home to global AI powerhouses like Alibaba, Huawei, Baidu, Tencent, and iFlytek, as well as a growing number of unicorns and startups.

But scale alone does not guarantee quality. For every genuine AI innovator, there are companies that have added “AI” to their name or marketing materials without the underlying technology to back it up. This is where due diligence becomes essential.

2. The Challenge: AI Hype vs. AI Reality

The term “AI” has become a marketing buzzword. Companies across all sectors are rebranding themselves as AI companies to attract investment, partnerships, and government subsidies. This phenomenon—sometimes called “AI-washing”—makes it difficult for outsiders to distinguish between genuine technological capability and empty hype.

So how do you cut through the noise? The answer lies in systematic verification—checking official records, validating technical claims, and looking for the concrete signals that distinguish real AI companies from pretenders.

3. How to Vet a Chinese AI Company

Here is a five-step framework for assessing whether a Chinese company is a genuine AI player.

Step 1: Start with the Official Enterprise Credit Report

Every due diligence process should begin with the Official Enterprise Credit Report from China’s National Enterprise Credit Information Publicity System (NECIPS). This government-issued document provides the foundational facts about any Chinese company.

For AI companies, pay special attention to:

• Business scope: Does it include AI-related activities such as “artificial intelligence software development,” “machine learning,” “natural language processing,” or “computer vision”? If a company claims to be an AI firm but its registered business scope does not mention any AI-related activities, that is a major red flag.
• Registered capital: Is it consistent with the scale of R&D investment typically required for AI development? Genuine AI companies often have significant capital to support costly research and talent acquisition.
• Operating status: Is the company actively operating (status “Existing”) or has it been cancelled or revoked?
• Administrative penalties: Has the company been penalized for false advertising, data privacy violations, or other regulatory breaches?

Step 2: Verify Algorithm and Model Registration

China has established a regulatory framework for AI algorithms and generative AI models. Companies that provide AI services are required to register their algorithms and large language models with the authorities. This is one of the most powerful signals that a company is a legitimate AI player.

Algorithm Registration: Under the Provisions on the Management of Deep Synthesis of Internet Information Services, companies that provide deep synthesis services (such as AI-generated text, images, audio, and video) must register their algorithms with the Cyberspace Administration of China (CAC). Registered algorithms can be searched through the official algorithm registration system at beian.cac.gov.cn.

As of 2025, the CAC had published multiple batches of registered algorithms. For example, the thirteenth batch of deep synthesis service algorithm registrations was released in September 2025. Companies that have had their algorithms officially registered have passed a regulatory compliance check.

Large Model Registration: Companies that develop generative AI models (such as large language models or text-to-image models) must also complete large model registration under the Interim Measures for the Management of Generative Artificial Intelligence Services. This is a more stringent process that involves security assessments and compliance reviews. A company that has completed large model registration has passed a significant regulatory hurdle.

Step 3: Examine Intellectual Property

Genuine AI companies invest heavily in R&D and protect their innovations through patents and trademarks. The China National Intellectual Property Administration (CNIPA) provides several tools for verifying a company’s IP portfolio.

Patent Search: Use CNIPA’s Key Industries Patent Information Service Platform at chinaip.cnipa.gov.cn, which includes a dedicated artificial intelligence database. You can search by company name to see how many AI-related patents they hold. For more detailed searches, use the Patent Retrieval and Analysis System at pss-system.cponline.cnipa.gov.cn, which requires free registration.

Trademark Search: Check the company’s trademarks through CNIPA’s trademark database at sbj.cnipa.gov.cn.

Step 4: Check Government Recognition and Industry Certifications

China’s government has established several programs to identify and support genuine AI innovators. Companies that have received these designations have passed rigorous government evaluations.

High-Tech Enterprise Certification: This is a national certification that requires companies to demonstrate R&D investment, intellectual property, and technological innovation. AI is explicitly listed as a priority area under the “Electronic Information” category. Certified companies can be verified through the National High-Tech Enterprise Recognition Management System at hjrz.chinatorch.org.cn.

National-level Specialized and Sophisticated ‘Little Giant’ Enterprise: This designation is for specialized SMEs that are leaders in their niches. Over 400 AI companies have received this designation.

Industry Rankings: Several authoritative organizations publish annual AI company rankings. CCID Consulting, a think tank under the Ministry of Industry and Information Technology, publishes an annual “Top 100 AI Companies by Comprehensive Strength” list. In 2025, the top five were Alibaba, Huawei, Baidu, Tencent, and iFlytek. Forbes China also publishes an annual “Top 50 AI Technology Companies” list.

Industry Standards: The T/SIA 063-2025 “AI Enterprise Evaluation Standard” provides a framework for assessing AI companies across dimensions including business qualifications, revenue, R&D capability, integrity, and quality assurance.

Step 5: Investigate the Team and Leadership

AI is a talent-driven industry. The quality of a company’s technical team is a strong indicator of its genuine capabilities. Use an Executive Risk Report to check:

• Educational backgrounds: Do key technical leaders have advanced degrees in computer science, AI, machine learning, or related fields from reputable universities?
• Previous employment: Have they worked at established tech companies or AI research institutions?
• Publication records: Have they published papers in AI conferences or journals?
• Cross-shareholdings: Do they have investments or board positions in other companies that could create conflicts of interest?

4. Red Flags in the AI Sector

5. Due Diligence Checklist

For a comprehensive assessment, consider using a Professional Due Diligence Report that combines official records, IP analysis, financial data, and risk intelligence into a single document. You can also leverage specialized IP verification services to validate a company’s patent and trademark claims.

China’s AI sector offers tremendous opportunities—but it also requires careful navigation. The “New Quality Productive Forces” agenda is real, and the country is producing genuine AI innovations at scale. However, the hype surrounding AI means that not every company that claims to be an AI company actually is one. By following the verification framework outlined in this guide—checking official registrations, examining IP portfolios, verifying government recognitions, and investigating team backgrounds—you can separate the genuine innovators from the pretenders and make informed business decisions.

At ChinaBizInsight, we help international businesses verify Chinese companies across all sectors—including AI and technology. From Official Enterprise Credit Reports and Professional Due Diligence Reports to IP verification and Executive Risk Reports, we give you the facts you need to make confident decisions in China’s AI race.