Close Menu
  • Home
  • AI Models
    • DeepSeek
    • xAI
    • OpenAI
    • Meta AI Llama
    • Google DeepMind
    • Amazon AWS AI
    • Microsoft AI
    • Anthropic (Claude)
    • NVIDIA AI
    • IBM WatsonX Granite 3.1
    • Adobe Sensi
    • Hugging Face
    • Alibaba Cloud (Qwen)
    • Baidu (ERNIE)
    • C3 AI
    • DataRobot
    • Mistral AI
    • Moonshot AI (Kimi)
    • Google Gemma
    • xAI
    • Stability AI
    • H20.ai
  • AI Research
    • Allen Institue for AI
    • arXiv AI
    • Berkeley AI Research
    • CMU AI
    • Google Research
    • Microsoft Research
    • Meta AI Research
    • OpenAI Research
    • Stanford HAI
    • MIT CSAIL
    • Harvard AI
  • AI Funding & Startups
    • AI Funding Database
    • CBInsights AI
    • Crunchbase AI
    • Data Robot Blog
    • TechCrunch AI
    • VentureBeat AI
    • The Information AI
    • Sifted AI
    • WIRED AI
    • Fortune AI
    • PitchBook
    • TechRepublic
    • SiliconANGLE – Big Data
    • MIT News
    • Data Robot Blog
  • Expert Insights & Videos
    • Google DeepMind
    • Lex Fridman
    • Matt Wolfe AI
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • Matt Wolfe AI
    • The TechLead
    • Andrew Ng
    • OpenAI
  • Expert Blogs
    • François Chollet
    • Gary Marcus
    • IBM
    • Jack Clark
    • Jeremy Howard
    • Melanie Mitchell
    • Andrew Ng
    • Andrej Karpathy
    • Sebastian Ruder
    • Rachel Thomas
    • IBM
  • AI Policy & Ethics
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
    • EFF AI
    • European Commission AI
    • Partnership on AI
    • Stanford HAI Policy
    • Mozilla Foundation AI
    • Future of Life Institute
    • Center for AI Safety
    • World Economic Forum AI
  • AI Tools & Product Releases
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
    • Image Generation
    • Video Generation
    • Writing Tools
    • AI for Recruitment
    • Voice/Audio Generation
  • Industry Applications
    • Finance AI
    • Healthcare AI
    • Legal AI
    • Manufacturing AI
    • Media & Entertainment
    • Transportation AI
    • Education AI
    • Retail AI
    • Agriculture AI
    • Energy AI
  • AI Art & Entertainment
    • AI Art News Blog
    • Artvy Blog » AI Art Blog
    • Weird Wonderful AI Art Blog
    • The Chainsaw » AI Art
    • Artvy Blog » AI Art Blog
What's Hot

Deep Fictitious Play-Based Potential Differential Games for Learning Human-Like Interaction at Unsignalized Intersections

Stanford HAI’s 2025 AI Index Reveals Record Growth in AI Capabilities, Investment, and Regulation

New MIT CSAIL study suggests that AI won’t steal as many jobs as expected

Facebook X (Twitter) Instagram
Advanced AI News
  • Home
  • AI Models
    • Adobe Sensi
    • Aleph Alpha
    • Alibaba Cloud (Qwen)
    • Amazon AWS AI
    • Anthropic (Claude)
    • Apple Core ML
    • Baidu (ERNIE)
    • ByteDance Doubao
    • C3 AI
    • Cohere
    • DataRobot
    • DeepSeek
  • AI Research & Breakthroughs
    • Allen Institue for AI
    • arXiv AI
    • Berkeley AI Research
    • CMU AI
    • Google Research
    • Meta AI Research
    • Microsoft Research
    • OpenAI Research
    • Stanford HAI
    • MIT CSAIL
    • Harvard AI
  • AI Funding & Startups
    • AI Funding Database
    • CBInsights AI
    • Crunchbase AI
    • Data Robot Blog
    • TechCrunch AI
    • VentureBeat AI
    • The Information AI
    • Sifted AI
    • WIRED AI
    • Fortune AI
    • PitchBook
    • TechRepublic
    • SiliconANGLE – Big Data
    • MIT News
    • Data Robot Blog
  • Expert Insights & Videos
    • Google DeepMind
    • Lex Fridman
    • Meta AI Llama
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • Matt Wolfe AI
    • The TechLead
    • Andrew Ng
    • OpenAI
  • Expert Blogs
    • François Chollet
    • Gary Marcus
    • IBM
    • Jack Clark
    • Jeremy Howard
    • Melanie Mitchell
    • Andrew Ng
    • Andrej Karpathy
    • Sebastian Ruder
    • Rachel Thomas
    • IBM
  • AI Policy & Ethics
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
    • EFF AI
    • European Commission AI
    • Partnership on AI
    • Stanford HAI Policy
    • Mozilla Foundation AI
    • Future of Life Institute
    • Center for AI Safety
    • World Economic Forum AI
  • AI Tools & Product Releases
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
    • Image Generation
    • Video Generation
    • Writing Tools
    • AI for Recruitment
    • Voice/Audio Generation
  • Industry Applications
    • Education AI
    • Energy AI
    • Finance AI
    • Healthcare AI
    • Legal AI
    • Media & Entertainment
    • Transportation AI
    • Manufacturing AI
    • Retail AI
    • Agriculture AI
  • AI Art & Entertainment
    • AI Art News Blog
    • Artvy Blog » AI Art Blog
    • Weird Wonderful AI Art Blog
    • The Chainsaw » AI Art
    • Artvy Blog » AI Art Blog
Advanced AI News
Home » China’s AI future and Huawei’s long game
Manufacturing AI

China’s AI future and Huawei’s long game

Advanced AI BotBy Advanced AI BotJune 17, 2025No Comments4 Mins Read
Share Facebook Twitter Pinterest Copy Link Telegram LinkedIn Tumblr Email
Share
Facebook Twitter LinkedIn Pinterest Email


Ask Huawei CEO Ren Zhengfei for his take on AI in China and the mountain of difficulties facing his company, and you get surprising answers.

“I haven’t thought about it,” says Ren, in a Q&A with Chinese media outlet People’s Daily. “It’s useless to think about it.”

In a world obsessed with five-year plans and crisis management, his advice is almost jarring in its simplicity: “Don’t think about the difficulties. Just do it and move forward step by step.”

This isn’t just a personal mantra; it’s the blueprint for how Huawei is navigating a storm of international sanctions and blockades. It’s a quiet determination that ripples through all his answers.

When the conversation shifts to Huawei’s advanced Ascend AI chips, he is almost brutally honest. He doesn’t boast. In fact, he believes the hype has gotten ahead of reality.

“The United States has exaggerated Huawei’s achievements. Huawei is not that great yet,” he admits, noting that their best chips are still a generation behind.

So what do you do when you can’t buy the best tools? According to Ren, you get smarter with the ones you have. He explains that Huawei is leaning on its brilliance in software and mathematics to close the hardware gap in AI and beyond.

“We use mathematics to make up for physics,” he says, describing a strategy of using code and linking chips together in powerful clusters to achieve results that can compete with the very best. Ingenuity born from necessity.

This grounded perspective applies to people as much as it does to products. In an age of relentless corporate promotion, Ren is wary of the spotlight. “We are also under a lot of pressure when people praise us,” he reveals. “We will be more sober when people criticise us.”

He sees criticism of Huawei not as an attack, but as a gift from the people who actually use their products. It’s a sign of a healthy relationship. His focus remains unwavering: “Don’t care about praise or criticism, but care about whether you can do well.”

But the real heart of Ren’s vision, the idea that truly animates him, lies in something much deeper and slower than the next product cycle: basic scientific research. He speaks about it with the passion of a philosopher, arguing it is the very soul of progress.

“If we do not do basic research, we will have no roots,” he warns. “Even if the leaves are lush and flourishing, they will fall down when the wind blows.”

For Huawei, these are not just poetic words. They are backed by huge investment. Out of an annual R&D budget of 180 billion yuan (around $25 billion) a full third of it – 60 billion yuan (~$8.34 billion) – is poured into theoretical research. This is money spent without the expectation of an immediate return, a long-term bet on the power of human curiosity. It’s an investment in a future that may be decades away.

Looking toward that future, Ren sees AI as a monumental shift not just for Huawei but for humanity. He believes China is well-positioned for this new era, not just because of its technology, but because of its powerful infrastructure and, most importantly, its people.

Ren imagines a future where the real breakthroughs in AI won’t just come from programmers in tech giants like Huawei, but from experts in every field – doctors, engineers, and even miners – using AI to solve real-world problems.

His optimism is infectious. He recalls an op-ed by New York Times columnist Thomas L. Friedman who departed China and published an article earlier this year with a title that requires no further explanation: ‘I Just Saw the Future. It Was Not in America.’

Ren Zhengfei seems to be a leader who has found a sense of calm in the eye of the storm. His focus is not on the shifting political winds, but on the slow, steady work of building something with deep roots, ready for whatever the future holds. Step by patient step.

(Image credit: European Union under CC BY 4.0 license. Image cropped for effect.)

See also: Hugging Face partners with Groq for ultra-fast AI model inference

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.

Explore other upcoming enterprise technology events and webinars powered by TechForge here.



Source link

Follow on Google News Follow on Flipboard
Share. Facebook Twitter Pinterest LinkedIn Tumblr Email Copy Link
Previous ArticleEmployers are struggling to source talent and dropping degree requirements, finds TestGorilla
Next Article How Best Buy Uses AI To Transform Customer Experience
Advanced AI Bot
  • Website

Related Posts

Hugging Face partners with Groq for ultra-fast AI model inference

June 17, 2025

Meta buys stake in Scale AI, raising antitrust concerns

June 16, 2025

Ericsson and AWS bet on AI to create self-healing networks

June 16, 2025
Leave A Reply Cancel Reply

Latest Posts

Israeli Attacks on Palestinian Heritage Constitute War Crimes: Report

UOVO to Expand Facilities in Brooklyn

Major Gift to National Gallery of Canada, and More

14 Gigs To Book Now For Montreal Jazz Festival 2025

Latest Posts

Deep Fictitious Play-Based Potential Differential Games for Learning Human-Like Interaction at Unsignalized Intersections

June 18, 2025

Stanford HAI’s 2025 AI Index Reveals Record Growth in AI Capabilities, Investment, and Regulation

June 18, 2025

New MIT CSAIL study suggests that AI won’t steal as many jobs as expected

June 18, 2025

Subscribe to News

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

Welcome to Advanced AI News—your ultimate destination for the latest advancements, insights, and breakthroughs in artificial intelligence.

At Advanced AI News, we are passionate about keeping you informed on the cutting edge of AI technology, from groundbreaking research to emerging startups, expert insights, and real-world applications. Our mission is to deliver high-quality, up-to-date, and insightful content that empowers AI enthusiasts, professionals, and businesses to stay ahead in this fast-evolving field.

Subscribe to Updates

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

YouTube LinkedIn
  • Home
  • About Us
  • Advertise With Us
  • Contact Us
  • DMCA
  • Privacy Policy
  • Terms & Conditions
© 2025 advancedainews. Designed by advancedainews.

Type above and press Enter to search. Press Esc to cancel.