Can Hu Zhengnan or Luo Fuli Save Xiaomi?

Xiaomi’s Paradox: Technical Wins Fail to Stop Stock Slide

Xiaomi faces a critical identity crisis as its stock price continues to decline despite significant technological achievements in both electric vehicles and artificial intelligence. The company has recently secured two major victories that should theoretically boost investor confidence, yet the market remains skeptical about its long-term valuation trajectory.

This disconnect highlights a broader challenge for Chinese tech giants: translating technical innovation into immediate financial returns in a volatile global market. Investors are waiting for clarity on whether Xiaomi is primarily an automaker, an AI firm, or a consumer electronics retailer.

Key Facts at a Glance

• Stock Performance: Xiaomi shares have dropped from HK$61 in June last year to approximately HK$30 currently.
• Market Cap Loss: The company has lost over HK$700 billion in market value during this period of decline.
• Auto Achievement: The YU7 GT set a new production SUV lap record at Nürburgring with a time of 7 minutes 34.931 seconds.
• AI Milestone: The MiMo large model topped OpenRouter’s global daily and weekly rankings with 1.75 trillion token calls.
• Analyst Sentiment: 24 investment banks issued ratings in the last 90 days, with an average target price of HK$42.47.
• Leadership Hires: Hu Zhengnan joined as Auto CTO, while Luo Fuli was recruited from DeepSeek for her AI expertise.

The Automotive Breakthrough Led by Hu Zhengnan

Hu Zhengnan represents a strategic pivot for Xiaomi’s automotive division. His appointment as the official Chief Technology Officer for Xiaomi Auto in April 2026 marks the culmination of a five-year search by founder Lei Jun for a leader capable of scaling vehicle production.

Hu brings extensive experience from his tenure at Geely. He was instrumental in developing the CMA, BMA, and SEA浩瀚 architectures, which underpin many successful vehicles in the Chinese market. His deep involvement in tuning the YU7 GT demonstrates his hands-on approach to engineering excellence.

The recent performance at the Nürburgring circuit serves as a tangible proof of concept. Achieving a lap time of 7 minutes 34.931 seconds is not just a marketing stunt; it validates the underlying engineering quality of Xiaomi’s first major SUV platform.

Western investors often view such records with skepticism, but in the premium EV segment, track performance signals superior handling and battery management systems. This distinction is crucial for competing against established players like Tesla and Porsche.

However, hardware success does not automatically translate to software margins. The automotive industry operates on thin margins compared to the high-margin software services that drive valuations for companies like Nvidia or Microsoft.

Hu’s challenge lies in transitioning from prototype validation to mass-market reliability. Scaling production without compromising the engineering standards set at the Nürburgring will be his primary test in the coming fiscal year.

Luo Fuli’s AI Dominance and the MiMo Model

While Hu Zhengnan tackles hardware, Luo Fuli is driving Xiaomi’s artificial intelligence ambitions. Her recruitment from DeepSeek six months ago, reportedly for a salary exceeding $1 million annually, signaled Xiaomi’s intent to compete seriously in the generative AI space.

Her impact has been immediate and measurable. The MiMo large language model recently achieved the number one spot on OpenRouter’s global daily and weekly leaderboards. This ranking is significant because it reflects real-world usage and developer preference rather than synthetic benchmark scores.

The model has become the preferred inference engine for Hermes Agent, a popular open-source framework. With weekly token consumption surpassing 1.75 trillion, MiMo demonstrates robust scalability and low latency, key factors for enterprise adoption.

Luo’s background in efficient model training allows Xiaomi to offer competitive API pricing. Unlike previous versions that required massive computational resources, MiMo optimizes inference costs, making it attractive for startups and mid-sized enterprises.

This AI prowess positions Xiaomi differently from pure-play EV manufacturers. It suggests a future where the car is merely a terminal for a broader AI ecosystem, including smart home integration and personal assistants.

Yet, monetizing AI remains elusive for most non-US tech firms. While user engagement is high, converting these interactions into recurring revenue streams requires a clear product strategy that Xiaomi has yet to fully articulate to Western analysts.

Why the Market Remains Skeptical Despite Bullish Ratings

The core issue facing Xiaomi is not a lack of value but a confusion of identity. Capital markets struggle to categorize the company, leading to valuation discounts. Is it a hardware manufacturer with low margins? Or is it an AI platform with high growth potential?

Investment banks remain largely optimistic. Over the past 90 days, 24 institutions have rated Xiaomi, with the majority issuing 'Buy' recommendations. The average target price stands at HK$42.47, implying significant upside from current levels.

Even conservative estimates, such as Bank of Communications International’s 'Neutral' rating with a target of HK$34.80, suggest the stock is undervalued. The most pessimistic institutional views still project a 13% upside from the current market price.

Despite this consensus, retail and institutional selling pressure persists. This divergence indicates that fundamental analysis is being overridden by macroeconomic concerns and sector-specific risks in China.

Key factors influencing this sentiment include:

• Geopolitical Tensions: Ongoing trade restrictions affect supply chain stability for semiconductor components.
• Consumer Spending: Slower recovery in domestic Chinese consumption impacts smartphone sales.
• EV Competition: Intense price wars in the Chinese electric vehicle market compress profit margins.
• Regulatory Uncertainty: Evolving data privacy laws in Europe and the US create compliance hurdles for AI deployment.
• Currency Fluctuations: Volatility in the Renminbi affects international revenue reporting.
• Market Saturation: The smartphone market shows signs of maturity, limiting organic growth opportunities.

Industry Context and Strategic Implications

Xiaomi’s situation mirrors broader trends in the global tech industry. Companies are increasingly forced to diversify across hardware, software, and services to maintain growth. Apple successfully navigated this transition, but few others have managed it with similar ease.

For Western observers, Xiaomi offers a case study in integrated ecosystems. The synergy between its AI models, smartphones, and electric vehicles creates a unique value proposition. However, this complexity also increases execution risk.

The success of Hu Zhengnan’s automotive division and Luo Fuli’s AI initiatives depends on seamless integration. If the MiMo model can power the car’s autonomous driving features while enhancing the smart home experience, Xiaomi could unlock new revenue streams.

Conversely, if these divisions operate in silos, the company may continue to suffer from valuation ambiguity. Investors need to see a unified narrative that connects these technological dots.

The next 12 months will be critical. Quarterly earnings reports must demonstrate how AI and automotive investments contribute to bottom-line growth. Without clear financial metrics, technical achievements alone will not suffice to restore investor confidence.

Looking Ahead: The Path to Valuation Recovery

Recovering from a HK$700 billion market cap loss requires more than just product launches. It demands a shift in market perception. Xiaomi must communicate its strategic vision more effectively to global investors.

Potential catalysts for stock recovery include:

• International Expansion: Entering European EV markets could diversify revenue sources.
• AI Monetization: Launching paid enterprise tiers for MiMo would prove commercial viability.
• Strategic Partnerships: Collaborating with Western tech firms could enhance credibility.
• Share Buybacks: Aggressive repurchase programs might signal management confidence.
• Dividend Policy: Initiating regular dividends could attract income-focused investors.

Ultimately, the answer to whether Hu Zhengnan or Luo Fuli can save Xiaomi’s stock lies in their ability to converge. The car and the code must work together to create a compelling economic story.

Until then, the market will likely remain in a wait-and-see mode. The technical foundations are solid, but the financial narrative needs refinement. Investors are watching closely for signs that Xiaomi can transcend its hardware roots to become a true technology platform.

Gogo's Take

• 🔥 Why This Matters: Xiaomi’s struggle illustrates the difficulty of pivoting from hardware to AI-driven services. If successful, it could validate the 'super-app' hardware model for Western competitors like Samsung or Google. Failure would reinforce the notion that specialized firms outperform diversified conglomerates in AI.
• ⚠️ Limitations & Risks: The primary risk is execution fragmentation. Managing two capital-intensive divisions (auto and AI) simultaneously strains resources. Additionally, geopolitical headwinds could limit access to advanced chips needed for both autonomous driving and large model training.
• 💡 Actionable Advice: Investors should monitor the ratio of AI-related revenue to total income in upcoming quarterly reports. For developers, testing the MiMo model via OpenRouter provides insight into its latency and cost-efficiency compared to Llama 3 or Mistral, offering a practical gauge of its enterprise readiness."
  "category": "industry