Lei Jun Announces: 60 Billion Investment in the Next Three Years! Xiaomi's MiMo-V2 Large Model Family Officially Released

marsbitPublished on 2026-03-27Last updated on 2026-03-27

Abstract

Lei Jun, founder of Xiaomi, announced at the Spring Product Launch that the company plans to invest over 60 billion yuan in AI over the next three years, with R&D and capital expenditure for 2026 alone exceeding 16 billion yuan. This underscores Xiaomi's strategic shift from a smartphone maker to an AI technology leader. The event featured the debut of Xiaomi's self-developed large model family, MiMo-V2, including the flagship agent-oriented MiMo-V2-Pro, the multimodal V2-Omni, and the voice-focused V2-TTS. These models are already being deployed across Xiaomi’s device portfolio. Xiaomi also showcased its first AI-native smartphone, Xiaomi Miclaw, currently in closed testing, and an upgraded version of its smart car, SU7, equipped with the XLA cognitive model and a new intelligent cabin system. The substantial investment aims to build a technological moat and accelerate Xiaomi’s integration of AI across its human-vehicle-home ecosystem.

In the AI-driven hardware revolution, Xiaomi is launching a saturation attack with unprecedented capital intensity.

On the evening of March 19, at the spring new product launch event, Xiaomi founder Lei Jun announced a major investment plan: over the next three years, Xiaomi is expected to invest more than 60 billion yuan in the AI field. Among this, the AI R&D and capital expenditure for 2026 alone has already exceeded 16 billion yuan. This marks Xiaomi Corporation's accelerated transformation from a smartphone manufacturer into a foundational-level AI tech giant.

Model Family Debut: MiMo-V2 Ushers in the Agent Era

The core highlight of this launch event was the flagship large model series deeply self-developed by Xiaomi:

Flagship Lead: Introduction of the flagship model MiMo-V2-Pro for the Agent era, possessing extremely strong task decomposition and autonomous execution capabilities.
Full Modality Coverage: Simultaneous release of the V2-Omni full-modality large model and the V2-TTS voice large model, completing the AI closed loop in visual, auditory, and text interaction.
Ecological Rollout: This model series has now officially landed on multiple Xiaomi terminal products, achieving rapid conversion from technology to experience.

Hardcore Implementation: The First AI-Native Phone and Smart Cockpit Upgrade

Lei Jun demonstrated the deep integration of AI technology within Xiaomi's "Human-Vehicle-Home Full Ecosystem" on site:

Smartphone Form Reconstruction: The first AI-native phone, Xiaomi Miclaw, has officially started closed beta testing. This model starts from the underlying architecture, aiming to provide a disruptive AI interaction experience.
Smart Mobility Evolution: The new generation Xiaomi SU7 achieves standard upgrades across the entire series, equipped with the XLA cognitive large model and the new Hyper OS Smart Cockpit. Through AI technology, the vehicle system can not only understand commands but also actively comprehend the driver's intent through logical reasoning.

Capital Strength: Building a "Tech Moat" with 60 Billion

The high investment plan of 60 billion yuan demonstrates Xiaomi's firm determination in its AI strategy. As the smartphone and electric vehicle core battlegrounds intensify today, Lei Jun evidently hopes to use self-controlled large model technology to build a "technology safe haven" for Xiaomi.

Conclusion: "Xiaomi Speed" in the AI Era

From releasing self-developed large models to the closed beta of the first AI-native phone, and then to the comprehensive AI-ization of smart cars, Xiaomi is proving its position in the AI race with extremely high execution power. As 60 billion yuan in funds continuously transforms into R&D成果 (achievements), that Xiaomi which "always believes that something wonderful is about to happen" might be preparing to use AI to redefine the smart life of the masses once again.

Trending Cryptos

CitreaCTR

wrapped stUSDTWSTUSDT

Velodrome FinanceVELODROME

BrevisBREV

PancakeSwapCAKE

JUSTJST

In Conversation with Ray Dalio: We Are Currently in an AI Bubble, with 1% of My Portfolio in Bitcoin

Ray Dalio, founder of Bridgewater Associates, warns in an interview that the current AI boom shows classic bubble characteristics, which could lead to significant economic downturns as seen in past cycles like 1929 or 2000. He explains that speculative enthusiasm, fueled by debt and overvaluation, often precedes a crash when rising rates or taxation force asset sales, causing widespread losses and recession. Dalio also outlines his "Big Cycle" theory, describing an approximate 80-year pattern where widening wealth gaps, massive government deficits, and shifting geopolitical power (like China's rise) create internal conflict and global instability. He emphasizes that we are in a late-cycle, transitional phase where traditional powers like the US and UK face decline. For personal wealth protection, Dalio advises diversification beyond cash into assets like stocks, bonds, real estate, and particularly gold, which he prefers over Bitcoin. While he holds about 1% of his portfolio in Bitcoin as a non-printable hard asset, he views gold as more secure from technological or governmental threats. Regarding AI's impact, Dalio believes it will disproportionately benefit capital owners, worsening inequality by replacing both physical and cognitive labor. He suggests that human intuition and emotional intelligence, combined with AI, will be key for future workers. On taxation, Dalio argues that wealth taxes are impractical and risk triggering asset sell-offs, reducing productive investment. He points to the UK as a cautionary example of debt, low productivity, and political strife. Geopolitically, Dalio foresees a more regionalized world, with the US showing weakness in prolonged conflicts like with Iran, akin to past imperial declines. The ideal outcome, he suggests, is coexisting powerful blocs (e.g., Americas, China-Asia Pacific) without major war.

marsbit56m ago

In Conversation with Ray Dalio: We Are Currently in an AI Bubble, with 1% of My Portfolio in Bitcoin

marsbit56m ago

Daily 7.2 Trillion KRW: Foreign Capital's Record Net Buying on Friday! Wall Street Says Headwinds for Korean Stock Fund Flows Have Subsided

South Korean stock market sees a dramatic shift in fund flows. On July 31, foreign investors made a record net purchase of approximately KRW 7.2 trillion in KOSPI stocks, marking a fundamental reversal from the persistent large-scale net outflows seen in previous months. This contributed to a significant narrowing of foreign net selling in July to KRW 9.8 trillion, down sharply from KRW 48.4 trillion in June and KRW 44.5 trillion in May. Simultaneously, domestic institutional pressure eased. South Korean pension funds and asset managers turned to a net buying position in July, purchasing KRW 1.0 trillion worth of KOSPI shares, contrasting with net sales in May and June. Market volatility is expected to be dampened by new financial regulations. Effective July 31, the Financial Services Commission tightened access for retail investors to single-stock leveraged ETFs by raising the minimum cash deposit requirement. Trading volumes for these products subsequently dropped to about 50% of their monthly average. Citigroup Research maintains its year-end KOSPI target of 10,000 points. The firm cites several supportive factors: the substantial easing of headwinds from capital outflows, a robust fundamental outlook for the semiconductor sector, historically low market valuations, strong economic fundamentals, and the potential for policy support from financial authorities if needed.

marsbit57m ago

Daily 7.2 Trillion KRW: Foreign Capital's Record Net Buying on Friday! Wall Street Says Headwinds for Korean Stock Fund Flows Have Subsided

marsbit57m ago

Breaking! OpenAI's Next-Gen AI Solves 10 Fields Medal-Level Problems

OpenAI's next-generation AI model Astra achieves breakthroughs in 10 long-standing mathematical conjectures. The results, including constructing the first known infinite, finitely presented non-sofic group—resolving a major question since 1999—and advancing the high-dimensional sphere packing problem beyond a 46-year-old barrier, are detailed in a 249-page paper. Key proofs have been formally verified using Lean 4. The AI also refuted a rigidity conjecture by Fields Medalist Alain Connes. According to OpenAI, generating these proofs cost under $2,000. Experts describe the findings as potentially Fields Medal-worthy and a landmark moment for both mathematics and AI, showcasing the model's ability to produce profound, human-like reasoning across diverse fields like group theory, geometry, and operator algebras.

marsbit2h ago

Breaking! OpenAI's Next-Gen AI Solves 10 Fields Medal-Level Problems

marsbit2h ago

How to Make Yourself Irreplaceable by AI Forever

This article argues that the primary threat from AI is not job replacement, but remaining trapped in "wage slavery"—financial dependence on employers. The path to becoming irreplaceable is not resisting AI, but becoming an "unemployable" individual who builds their own meaningful enterprise. The author identifies five key elements for this: Agency (acting without permission), Taste (judging what's worthwhile), Persuasion, Persistence, and Iteration. The solution is to stop being a "pawn" in someone else's game. To start, you must fundamentally change your identity and environment, then engage in rapid, real-world trial and error. While both coding and creating media (content) are powerful, content is more crucial. AI can generate assets, but true value lies in subjective, human-driven content that builds trust and narrative. The actionable advice is to carve out 15 minutes to answer foundational questions: 1) Uncover your "raw material"—what you know deeply or solve effortlessly. 2) Define your contrarian perspective—what common beliefs you think are wrong. The intersection of these answers is your direction. Finally, you must launch by publishing your first core idea immediately, using the feedback to iterate and develop the skills needed for a self-directed life and career.

marsbit3h ago

How to Make Yourself Irreplaceable by AI Forever

marsbit3h ago

Thanks to Dice Rolls, Bitcoin Keys Are Stored Offline, But Not Everyone Will Do It

The article discusses using dice rolls to generate secure Bitcoin wallet seeds, providing entropy independent of potentially flawed hardware random number generators. It explains that each fair dice roll offers about 2.585 bits of entropy, with around 50 rolls needed for a standard 12-word seed phrase and 99+ recommended for higher security. This method gained attention after a vulnerability was revealed in some Coldcard hardware wallets, where a faulty firmware RNG (dating back to 2021) compromised generated keys. The analysis notes that while a dice-generated main seed was safe from this specific flaw, other Coldcard functions (like creating paper wallets, backup keys, or passwords) could still be vulnerable if they used the defective RNG. The piece argues that while dice-based entropy is technically robust, the manual process is error-prone, tedious, and unrealistic for most new users, who might make mistakes in recording or inputting rolls. It concludes that while manual entropy generation should remain an option for advanced users, the long-term goal is to develop reliable, user-friendly hardware and software that securely generates randomness without requiring specialized knowledge. Coldcard users are advised to check their firmware version and replace any secondary secrets (like paper wallet keys) created with vulnerable devices, while also considering multi-signature setups with devices from different manufacturers for added security.

cryptonews.ru6h ago

Thanks to Dice Rolls, Bitcoin Keys Are Stored Offline, But Not Everyone Will Do It

cryptonews.ru6h ago

Trading

Spot

Hot Articles

The Cornerstone of the Autonomous AI Economy: How Talus is Reshaping On-Chain Intelligent Agents

Talus is a decentralized AI Agent framework built on the Sui, designed to solve the structural problems of current AI systems: centralization, opacity, and a lack of native economic identity.

43.4k Total ViewsPublished 2026.03.18Updated 2026.03.18

The Cornerstone of the Autonomous AI Economy: How Talus is Reshaping On-Chain Intelligent Agents

In-depth Analysis of AI and Crypto: The Era of Symbiosis between Algorithms and Ledgers

By 2026, the integration of artificial intelligence and cryptocurrency has advanced from proof-of-concept to a new stage of "system-level integration".

3.0k Total ViewsPublished 2026.03.26Updated 2026.03.26

In-depth Analysis of AI and Crypto: The Era of Symbiosis between Algorithms and Ledgers

U.S. Equity TradFi Assets: Traditional Finance as a Steady Anchor Amid the AI IPO Boom

In 2026, the U.S. IPO market has regained momentum.

36.9k Total ViewsPublished 2026.07.08Updated 2026.07.08

U.S. Equity TradFi Assets: Traditional Finance as a Steady Anchor Amid the AI IPO Boom

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of AI (AI) are presented below.