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Hyundai Motor Group will invest 10 trillion won (around $6.9 billion) over five years in Saemangeum, North Jeolla Province.
The goal: a future-focused cluster for AI, hydrogen and robotics on a 409-square-kilometer reclaimed land project, roughly two-thirds the size of Seoul.
The strategic context
The 10 trillion won commitment is part of Hyundai’s broader 125 trillion won domestic investment plan through 2030. Saemangeum is the first major concrete project under that roadmap.
Nvidia backbone: Hyundai is doubling down on AI infrastructure. Chairman Chung Eui-sun has already agreed with Jensen Huang to deploy 50,000 Blackwell GPUs.
That computing power is intended to accelerate autonomous vehicles, robotics and digital twins in manufacturing.
Hydrogen strategy: Hydrogen has been a core pillar of Hyundai’s long-term strategy for years. Solar-powered electrolysis would enable the production of “green” hydrogen.
Robotics is also central to the plan: from the humanoid Atlas to industrial wearables and mobile platforms. Saemangeum is set to become a testing ground for smart mobility and autonomous systems.
Why Saemangeum?
Ample land, strong solar conditions and political backing: Hyundai plans to build an AI data center, large-scale green hydrogen electrolysis facilities and robot manufacturing operations there. Local solar installations are also under consideration to generate and consume energy on site.
Beyond land and sunlight, aggressive investment incentives are a draw:
Long-term land leases at symbolic rates
Employment subsidies
Government support and coordination
Seoul is pushing to industrialize regions outside traditional hubs such as Ulsan — and Saemangeum is emerging as a flagship project.

CC-BY-4.0: © European Union 2023– Source: EP
The EU has excluded Chinese organizations from critical areas of its flagship research program Horizon Europe starting in 2026.
The measure's goal: protecting intellectual property and securing Europe's technological sovereignty.
What gets excluded
The €93 billion program remains blocked for China in the following areas:
Area | Status | Details |
|---|---|---|
AI & quantum tech | 🚫 Blocked | Protection against technology leakage and military use. |
Semiconductors (chips) | 🚫 Blocked | Strategic independence in focus. |
Biotechnology | 🚫 Blocked | Security concerns regarding genetic data. |
Climate & energy | ✅ Permitted | Cooperation on global environmental goals continues. |
Agriculture | ✅ Permitted | Cooperation on biodiversity and food security. |
Reactions from China
❝"The policy will not harm China much and could make Europe appear more isolated."
Wu Ji, senior space scientistOther experts warn: China is now the world's leading producer of AI research. The restrictions could long-term reduce EU access to Chinese talent and contribute to a more fragmented global research landscape.

Fei-Fei Li, known in the industry as the “Godmother of AI,” has raised $1 billion with her startup World Labs.
🤝 Rocket start: Li only founded World Labs in 2024. In September 2024, World Labs had already raised $230 million. Since then, the valuation has more than doubled. The new round values the company at around $5 billion.
The details
World Labs is developing “Spatial Intelligence”: AI that can understand and model the physical world in 3D. The first product is called Marble and generates interactive 3D worlds from images or text.
The round is led by Autodesk with $200 million alone, joined by Andreessen Horowitz, Nvidia, AMD, Fidelity, and Singapore’s Sea Limited.
Who is Fei-Fei Li?
Born in Beijing and later moving to the United States, she is now a central voice in the U.S. AI scene.
She is one of the most influential researchers in modern AI, especially due to ImageNet, the dataset that massively accelerated computer vision in the 2010s.
Li previously served as Chief Scientist for AI/ML at Google Cloud before returning to Stanford and later launching World Labs.
Why everyone is betting on Spatial Intelligence
The thesis: AI must understand the physical world in 3D, not just process text and images. This opens up applications in robotics, AR/VR, and scientific simulation.
Meta’s chief scientist Yann LeCun is pursuing a similar approach with AMI Labs, and Google DeepMind is developing its own system called Genie. The participation of Singapore’s Sea Limited highlights the interest of Asian tech giants.
The investor logic: After the LLM boom, spatial intelligence will be the next growth market.

An Indian university was kicked out of the prestigious AI Impact Summit in New Delhi on Wednesday. A professor had passed off a commercially available robot dog from China as her own groundbreaking innovation.
India actually wanted to use the summit to present itself as a new AI superpower alongside the US and China. But then this happened:
The fraud: A professor from Galgotias University proudly explained on state television that the robot dog "Orion" had been developed at their own center of excellence.
The exposure: Internet users identified the machine as a Unitree Go2 within minutes.
The consequence: The university had to clear its booth, power was cut, and India's IT minister hastily deleted his celebratory posts on X.
High-stakes summit becomes chaos stage
The "robo-lie" is particularly explosive because the summit was attended by the absolute world elite: Prime Minister Modi, Emmanuel Macron, OpenAI CEO Sam Altman, and Google CEO Sundar Pichai were on the guest list.
India is investing massively in "IndiaAI" to develop sovereign AI models and not be dependent on US tech giants.
The country wants to establish a "third way" between the US and China – with open-source models, 7,000 public datasets, and planned investments of $200 billion in data centers.
But the path is still rocky so far.

Expensive gifts from Japan for Trump
Japan and the US have agreed on the first three megaprojects of their $550 billion investment package. Trump celebrates it as proof of his tariff policy. Tokyo is under pressure – and pays.
❝"The scale of these projects are so large, and could not be done without one very special word, TARIFFS."
Donald Trump, US PresidentThe three projects
Project | Location | Volume | Details |
|---|---|---|---|
Gas power plant | Portsmouth, Ohio | $33 billion | 9.2 GW – world's largest, SoftBank |
Crude oil terminal | Gulf of Mexico | $2.1 billion | $30 billion annual revenue, Sentinel Midstream |
Diamond factory | Georgia | $600 million | Synthetic diamonds, Element Six |
The gas power plant alone equals nine nuclear reactors and could supply 7.4 million households. Japanese companies like Toshiba, Hitachi, and Mitsubishi Electric are to deliver turbines.
The fine print
The profit participation is extremely one-sided. After repayment of the initial investment, the profit split shifts to 90:10 in favor of the US, according to reports.
Additionally, after Trump's approval, Tokyo has only 45 days to physically transfer the promised funds.
⚠️ Reality check
"Strategic, but hardly bankable," is how Japanese financial circles describe the projects. Politicians and corporate leaders have openly criticized Trump's tactics as "blackmail."
But dependence on the US market and especially Washington's security policy role against China, North Korea, and Russia left no choice.

Picks and shovels for Modi's AI dream
A Blackstone-led consortium is putting up to $600 million in equity into Neysa, an Indian startup founded in 2023 that builds and operates GPU-based AI infrastructure for enterprises.
On top of that, Neysa plans to secure another $600 million in debt financing, bringing the total to $1.2 billion for a company that isn't even three years
old.
🤝 Blackstone's Amit Dixit, head of Asia private equity, will partner with Neysa co-founder and CEO Sharad Sanghi to scale the business.
The details
Neysa deploys GPU clusters inside India - for banks, tech firms, hospitals and government agencies. The fresh capital will fund the rollout of more than 20,000 GPUs across the country, specifically for AI training and high-performance computing.
Joining Blackstone in the round are Teachers' Venture Growth, TVS Capital, 360 ONE and Nexus.
The key thing here: Neysa designs and operates its systems entirely within India. Data stays onshore. Modi's government is pushing hard on "sovereign compute" under the IndiaAI Mission banner.
The bigger picture
For Blackstone, Neysa fills the India gap in a global AI infrastructure portfolio that already includes QTS and CoreWeave in the US, AirTrunk across APAC and Firmus in Australia.
The timing could hardly have been better. On the same day, Adani announced $100 billion for AI data centers by 2035. Modi had flown in Nvidia CEO Jensen Huang, Google's Sundar Pichai and half a dozen other tech chiefs for the India AI Summit in New Delhi. AMD simultaneously signed an expanded AI partnership with Tata.
India is clearly serious about this. Whether the country can actually build compute capacity as fast as the cheques are flying is the real question.

The cockpit of the future?
Radical shift in the world's most technologically advanced car market: China is ending the era of buttonless cockpits.
China's Ministry of Industry has published a draft of new safety regulations mandating physical buttons for life-critical functions.
From July 1, 2027, all newly manufactured vehicles in the People's Republic must have "real" controls again.
The new mandatory buttons
The following functions may no longer be operated exclusively via touchscreens:
Gear shift and turn signals
Hazard lights and window controls
Emergency call (eCall)
Minimum size: 10 x 10 mm per button
The reason: distraction at the wheel. In many electric cars, even mechanical functions run through the central display. In the Tesla Model Y, the driver has to tap the display to change gears.
Not the first reversal
China is systematically cleaning up design trends that are problematic from a safety perspective:
Measure | From when | Affected |
|---|---|---|
Physical buttons mandatory | July 2027 | Tesla, BYD, Xiaomi |
Ban on retractable door handles | Jan. 2027 | Tesla Model S/X, BYD |
Ban on yoke steering wheels | Jan. 2027 | Tesla Model S, Lexus |
Retractable door handles can jam after accidents and trap occupants. Yoke steering wheels don't meet airbag standards – according to the ministry, the steering column is involved in 46% of all driver injuries.
China is not alone. The European testing organization Euro NCAP has also already announced that from 2026, it will no longer award five stars if safety-critical functions can only be operated via screens.
The message is clear: futuristic aesthetics are all well and good – but not at the expense of safety.

China’s AI firms take huge post listing gains
MiniMax surged as much as 30% in Hong Kong before closing up 25%. Since its IPO in January 2026, the stock is now up more than 400%.
Rival Zhipu also posted double-digit intraday gains. Both names are currently among the hottest AI bets in Asia..
The driver
Optimism around China’s generative AI startups is rising, fueled by model upgrades ahead of Lunar New Year, a period when platforms traditionally compete for maximum user traffic.
MiniMax last week released version M2.5 of its flagship model.
On the SWE benchmark, M2.5 performs “very close” to Claude Opus 4.6, with analysts pointing to “significant performance improvements.”
Why so hot?
First: China is investable again.
After years of regulatory uncertainty and weak tech performance, investors are searching for a new growth anchor. Chinese AI offers exactly that: structural growth, strategic relevance and state backing.
Second: valuation arbitrage.
U.S. AI stocks trade at extreme multiples. In Hong Kong, newly listed AI players are entering the market at far lower starting valuations.
Third: technological catch-up.
MiniMax’s M2.5 and Zhipu’s GLM models are being publicly benchmarked against U.S. frontier models. “Close enough” is sufficient to support the thesis that China is not permanently behind in the LLM race.
Fourth: geopolitical logic.
Semiconductors, AI and compute capacity are strategic sectors. Investors understand that these areas are politically prioritized in China, reducing the risk of sudden domestic policy headwinds.

China's most-watched television show, the CCTV Spring Festival Gala, became a global stage for Beijing's technological ambitions on Monday.
In a blend of tradition and science fiction, four leading robotics startups – Unitree Robotics, Galbot, Noetix, and MagicLab – demonstrated the rapid progress of Chinese "Embodied AI."
📈 Market Dominance and Industrial Policy
Behind the spectacle lies a hard-nosed industrial strategy: Beijing is betting on robotics to boost productivity despite an aging workforce.
Global leadership: China was responsible for 90% of the approximately 13,000 humanoid robots delivered worldwide last year.
Growth forecast: Morgan Stanley expects sales of Chinese humanoid robots to more than double to 28,000 units this year.
Political tailwind: President Xi Jinping met with five robotics startup founders last year – visibility typically reserved only for sectors like semiconductors or e-mobility.
🔬 The Players and Their Roles
The gala served as a "direct pipeline" from industrial policy to the spotlight, often securing government contracts and investor interest for the companies.
Company | Performance | Status / Details |
|---|---|---|
Unitree Robotics | "WuBOT" Martial Arts & Acrobatics | Plans IPO 2026; G1 model costs approx. $17,990 |
Noetix | Comedy skit with actors | Focus on interaction in social scenarios |
MagicLab | Synchronized dance | Song: "We Are Made in China" |
Galbot | Integration into sketches | Specialized in everyday and service applications |
⚠️ Reality Check: Hype vs. Hardware
Despite the impressive show, technical hurdles remain:
"Brains" vs. bodies: While hardware (motors, joints, balance) is making enormous progress, AI intelligence ("cortex") still lags behind.
Data shortage: The industry faces a "data scarcity" for real work scenarios, as simulations alone are not sufficient.
Stage vs. reality: The controlled environment of the gala (flat floor, constant light) is a "comfort zone" scenario that is not yet replicable one-to-one in factories or households.
Elon Musk, who sees his biggest competition in Chinese companies, recently described China's progress as "ass-kicker next level."
🍿 Full performance & behind the scenes: Unitree YouTube

The United States and Taiwan have finalized their bilateral trade agreement. Washington confirms a 15% tariff rate on Taiwanese imports, putting Taiwan on par with Japan and South Korea.
🔄 In return, Taiwan commits to lowering or eliminating 99% of its tariffs on U.S. goods and granting preferential market access to American products.
The deal
The U.S. trade deficit with Taiwan rose to $126.9 billion in 2025. Taiwan secured exemptions for more than 2,000 product categories.
Deal optimism: President Lai Ching-te called it a “pivotal moment for Taiwan’s economy” and a “major transformation.”
Taiwan pledged purchases of more than $84 billion in U.S. goods through 2029, including:
$44.4 billion in LNG and crude oil
$15.2 billion in civil aircraft and engines
$25.2 billion in power grid equipment and generators
Non-tariff barriers are also set to be reduced, including in autos, medical devices and pharmaceutical standards.
Market reality
Back in January, Taiwan pledged $250 billion in investments into U.S. production capacity, primarily in semiconductors, energy and AI — including $100 billion from TSMC. Another $250 billion in government-backed investment guarantees are expected to follow.
Washington’s goal: more high-tech production on U.S. soil.
Taipei’s goal: tariff stability and a strategic partnership.
From a small concession to a sweeping demand: The deal positions Taiwan as a key pillar in Washington’s chip strategy against China. Commerce Secretary Lutnick is calling for 40% of Taiwan’s semiconductor supply chain to relocate to the U.S., a demand Taipei has labeled “impossible.”
Beijing has sharply criticized the agreement, accusing the U.S. of economically “hollowing out” Taiwan and pressuring the island to shift its core industries abroad.
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The 6 Billion Dollar Bet
How China is betting big on humanoid robotics and what it means for global industry.
Read More →China has committed over $6 billion in government-backed funding to humanoid robotics, making it the largest coordinated national push for a single robotics category in history. This report breaks down where the money is going, who is building, and what it means for global industry.
What's Inside
- Complete funding map: government subsidies, VC rounds, and corporate investments
- 30+ company profiles with technical capabilities and production timelines
- Policy analysis: national and provincial support programs
- Supply chain deep dive: motors, sensors, chips, and key bottlenecks
- Global comparison: China vs. US vs. EU approaches
Who This Is For
Executives, investors, and strategists who need to understand China's humanoid robotics push and its implications for manufacturing, automation, and global supply chains.

AI Automation for Beginners
From zero to productive in 30 minutes. No coding required, no tech background needed.
Read More →Most people know AI can help them work faster. Almost nobody actually uses it. This guide cuts through the noise and shows you exactly how to get started, step by step, in 30 minutes or less.
What's Inside
- The 5 AI tools that actually matter (and which ones to ignore)
- Copy-paste prompts for emails, research, summaries, and analysis
- Real workflow examples: how we use AI to produce a daily newsletter
- Common mistakes that make AI outputs worse (and how to fix them)
- A 30-day plan to build AI into your daily routine
Who This Is For
Business professionals, founders, and teams who want to save hours per week but don't know where to start. No technical background required.

Where DJI Alumni Build Next
Tracking where ex-DJI engineers go and what they're building. The next generation of hardware.
Read More →DJI has become the most prolific talent pipeline in Chinese hardware. This report tracks where ex-DJI engineers and executives go after leaving and what they're building. From robotics to autonomous vehicles to agricultural tech.
What's Inside
- 50+ DJI alumni founders mapped by company, sector, and funding stage
- Career flow analysis: which departments produce the most founders
- Sector breakdown: robotics, EVs, drones, semiconductors, consumer hardware
- Funding overview: who's backing ex-DJI founders and at what valuations
- The "DJI Mafia" network map: connections and co-founding patterns
Who This Is For
Investors looking for the next wave of Shenzhen hardware startups, recruiters targeting top engineering talent, and anyone tracking China's hardware ecosystem evolution.

How to Get Investment in China
VC landscape, pitch strategies, and deal flow. Based on 100+ founder conversations.
Read More →Raising capital in China works differently than in the West. This guide breaks down the VC landscape, the types of capital available, and the unwritten rules that determine whether you get funded or ghosted.
What's Inside
- China's $47B VC market: who is writing the biggest checks in 2026
- The 5 sectors getting all the funding (and which ones are cooling off)
- 3 types of capital: government funds, private VCs, and corporate VCs
- 7 rules for raising in China, based on real founder conversations
- City guide: where to raise and why location matters
- East vs West: key differences in deal flow and timelines
Who This Is For
Founders, investors, and executives who want to understand how fundraising works in China. Whether you're raising a round or investing in Chinese startups.
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