AI-Generated Lists Spark Misinformation Crisis in China EV Industry

AI Hallucinations Trigger Industry-Wide Denials From Major EV Makers

Zeekr, the premium electric vehicle brand under Geely Holding Group, has issued a formal legal statement denying rumors that it was summoned by Chinese regulators — becoming the latest automaker to push back against a wave of misinformation largely fueled by AI-generated content. The company's legal department confirmed on May 9 that it has never received any so-called 'summons' notice and has already begun collecting evidence against those spreading the fabricated claims.

The incident represents one of the most striking real-world examples of how AI hallucinations can cascade through social media to create genuine industry crises, affecting companies worth billions of dollars.

Key Facts at a Glance

• Zeekr's legal team says AI software was used to fabricate claims the company was 'summoned' by regulators
• At least 8 major EV brands — including Tesla, BYD, NIO, XPeng, Li Auto, and GAC Aion — have issued similar denials
• The controversy stems from unverified reports that 8 EV makers were summoned over OTA (Over-the-Air) battery throttling practices
• Chinese regulators never publicly disclosed the specific companies involved in any such summons
• Users turned to AI chatbots for answers, which generated fabricated company lists that went viral
• Zeekr says it has preserved evidence and will pursue legal action against rumor spreaders

How AI Chatbots Created a Corporate Crisis From Thin Air

The chain of events began with legitimate but vague regulatory news. Reports emerged that China's Ministry of Industry and Information Technology (MIIT) had summoned 8 new energy vehicle companies over concerns about OTA updates being used to secretly throttle battery performance — a practice known as 'locking electricity' in Chinese automotive circles. The ministry reportedly issued 'four major prohibitions' related to the practice.

However, regulators did not publicly name which 8 companies were involved. This information vacuum proved to be the perfect breeding ground for AI-generated misinformation.

Facing uncertainty, curious consumers and social media users did what has become increasingly common in the AI era: they asked chatbots. The AI tools, lacking access to privileged regulatory information, did what large language models often do when pressed for specifics they don't have — they hallucinated. The chatbots generated plausible-sounding lists that included virtually every major new energy vehicle brand in China.

The Viral Spread: From AI Output to Industry Panic

The AI-generated lists spread rapidly across Chinese social media platforms, amplified by self-media accounts and content creators eager to capitalize on the controversy. What started as speculative AI output was quickly repackaged as authoritative information, stripped of context about its origins.

The misinformation snowball effect followed a now-familiar pattern:

• An AI chatbot generates a speculative list of company names
• Social media accounts share the list without attribution or caveats
• Self-media creators add sensationalized commentary
• The narrative gains credibility through sheer repetition
• Affected companies are forced into crisis communications mode
• Legal departments mobilize to combat the spreading falsehoods

This sequence mirrors incidents seen in Western markets, where AI-generated content has similarly caused stock price fluctuations, reputational damage, and public confusion. In May 2023, for example, a fake AI-generated image of an explosion at the Pentagon briefly caused a dip in U.S. stock markets.

Zeekr Fights Back With Legal Action

Zeekr's response was notably aggressive compared to some of its peers. The company's legal department specifically called out the use of 'AI software' in fabricating the false claims, marking one of the first times a major Chinese automaker has explicitly identified AI tools as a vector for corporate misinformation.

In its statement, Zeekr emphasized several key points:

• The company has not received any regulatory summons notification
• Malicious social media accounts deliberately amplified the AI-fabricated information
• The legal team has already collected and preserved digital evidence
• Zeekr intends to pursue legal remedies to protect its rights and interests
• The company called on industry partners and consumers to help maintain a healthy development environment for China's new energy vehicle sector

The statement's tone suggests Zeekr is preparing for actual litigation rather than simply issuing a pro forma denial. This approach could set a precedent for how companies respond to AI-generated misinformation in the future.

The Broader OTA Battery Throttling Controversy

Beneath the misinformation crisis lies a genuine regulatory concern. OTA battery throttling — where automakers push software updates that reduce battery capacity or charging speeds without explicitly informing owners — has become a significant consumer protection issue in China and globally.

Tesla faced similar controversies in multiple markets, with owners alleging that software updates reduced their vehicles' range and charging capabilities. In Norway, Tesla was ordered to pay compensation to thousands of Model S owners over throttled charging speeds. In China, the practice has drawn increasing regulatory scrutiny as the country's EV market has grown to become the world's largest.

The MIIT's reported 'four major prohibitions' signal that Chinese regulators are taking a harder line on the practice, regardless of which specific companies were actually summoned. The regulatory framework being developed could have implications for global EV manufacturers operating in the Chinese market, including Tesla, BMW, Volkswagen, and other international brands with significant China operations.

AI Misinformation Becomes a Corporate Governance Challenge

This incident highlights an emerging challenge that extends far beyond the automotive industry. As AI chatbots become the default information source for millions of users, the potential for AI hallucinations to cause real-world business harm grows exponentially.

The Zeekr case is particularly instructive because it demonstrates how AI misinformation can exploit information asymmetries. When regulators release partial information — confirming that action was taken but not naming specific targets — AI tools will attempt to fill in the gaps with generated content that appears authoritative but is entirely fabricated.

For Western companies, this raises several urgent questions about AI governance and corporate preparedness:

• How should companies monitor AI-generated content about their brands?
• What legal frameworks exist for holding AI platforms accountable for hallucinated content?
• Should regulators be required to provide more complete disclosures to prevent information vacuums?
• How can corporate communications teams respond faster to AI-generated misinformation?

Companies like Google, OpenAI, and Anthropic have all acknowledged the hallucination problem in their models, but solutions remain elusive. Current approaches — including retrieval-augmented generation (RAG), confidence scoring, and improved training data — reduce but do not eliminate the risk of fabricated outputs.

What This Means for the AI Industry

The Zeekr incident serves as a cautionary tale that resonates well beyond China's borders. It demonstrates that AI misinformation doesn't require sophisticated deepfakes or coordinated disinformation campaigns. Sometimes, a simple text response from a chatbot — answering a question it shouldn't confidently answer — can trigger a chain reaction affecting an entire industry.

For AI developers, the lesson is clear: models need better mechanisms for expressing uncertainty, especially when users ask about specific entities or events where the model lacks verified information. The tendency to generate plausible-sounding specifics when pressed is perhaps the most dangerous form of AI hallucination because it is the hardest for average users to identify.

For businesses, the incident underscores the need for AI-era crisis communication strategies. Traditional media monitoring is no longer sufficient — companies must now track what AI chatbots are saying about them and be prepared to respond rapidly when fabricated content begins circulating.

For regulators worldwide, the case suggests that information disclosure practices may need updating. In an era where AI tools will aggressively fill any information gap, partial disclosures that omit key details may inadvertently create more confusion than transparency.

Looking Ahead: Legal Precedents and Industry Response

Zeekr's promise to pursue legal action against rumor spreaders could establish important precedents for AI-related misinformation cases in China, which has some of the world's strictest laws around online defamation and rumor-spreading. If the company successfully identifies and prosecutes individuals who amplified the AI-generated lists, it could deter similar behavior in the future.

The broader industry response — with at least 6 major automakers issuing coordinated denials — also suggests that trade associations and industry groups may need to develop collective response mechanisms for AI-generated misinformation events. As AI models become more powerful and widely used, these incidents are likely to become more frequent and potentially more damaging.

The Chinese government's approach to regulating AI-generated content, including requirements for AI-generated material to be clearly labeled, will face a real-world test in cases like this. Whether existing regulations are sufficient to address the rapid spread of AI hallucinations through social media remains an open question — one that policymakers in the U.S., EU, and elsewhere are also grappling with as they develop their own AI governance frameworks.