The Floor
Chinese humanoid robots now cost less than an iPhone. The supply chain explains why, and it's not a promotional price.
Happy Friday. I scan 100+ Chinese-language sources daily — WeChat public accounts, Bilibili, 36Kr, Caixin, InfoQ, Sina Finance, Zhihu, and a dozen more — so you don't have to. When something matters in Chinese AI, this is where it lands first. Let's go.
The Floor
The humanoid robot is no longer expensive.
Unitree's R1 now starts at ¥29,900 ($4,100). Songyan Dynamics' Bumi is ¥9,998 — around the price of a high-end iPhone. And these are not loss-leader promotional prices: Unitree's G1 basic model has a bill of materials of ¥41,600 against a selling price of ¥85,000, implying a roughly 40% gross margin at today's retail prices. The floor held even after this week's cuts.
A detailed materials analysis published this week in Southern Reviews explains the mechanism. The collapse in unit cost traces to three compounding factors. First, the joint actuators now draw from the same supply chains as new-energy vehicle motors — the permanent magnet synchronous motors in Unitree's G1 hip joints are architecturally identical to the ones driving hundreds of thousands of Chinese EVs. Second, the sensor layer — depth cameras, LiDAR, compute boards — runs on consumer electronics components: Intel realsense cameras, DJI LiDAR, Rockchip controllers, YMTC-tier NAND storage. No specialized robotics procurement required. Third, scale has arrived: China shipped approximately 14,400 humanoid robots in 2025, with Unitree accounting for more than 5,500 units alone. Factory depreciation spreads across volume; per-unit cost drops.
The Tesla comparison is blunt. Tesla's Optimus bill of materials, built without Chinese supply chain access, runs $131,000 per unit. The equivalent built on China's domestic component stack: $46,000. A 2.8x cost difference, before any scale effects.
What happened this week matters beyond pricing. Unitree's IPO application cleared China's STAR Market board review — meaning the company is now in the final approval queue for the public markets. The public offering is not the financial event here; the signal is that China's stock exchange reviewed the underlying business and found it credible. Unitree has been producing and shipping at scale, not demoing. That distinction — the pharmacy robot that ran autonomously for twelve consecutive months, the 14,400 units shipped last year — is what exchange reviewers are looking at.
At the BAAI 2026 conference in Beijing today, Galaxy General Robotics CTO Wang He framed the technology trajectory directly. China's embodied AI is currently at roughly GPT-1 to GPT-2 capability. The WAM (world action model) paradigm — models that can absorb unlabeled human video to learn action priors, not just labeled robot teleoperation data — removes the ceiling on training data acquisition. Once the scaling laws that worked for language models start applying to physical action models, the curve accelerates. Wang He's read: "I firmly believe embodied AI's AlphaGo moment will happen in China."
The reason that matters is data, not just cost. The robots being sold into warehouses, pharmacies, and research labs today are collecting proprietary real-world training data. At ¥9,998 entry price, that distribution expands by orders of magnitude.
The Briefing
Zhipu AI and MiniMax have each lost roughly half their market capitalization in two weeks. Caixin reported today that Zhipu (2513.HK) hit an intraday peak of HK$1,993/share on May 29 — briefly pushing its market cap above HK$880 billion — before closing at HK$1,097 on June 12, a 44.96% decline from the peak. MiniMax (0100.HK) has followed a similar trajectory. The trigger is the same at both companies: their IPO cornerstone investors' lock-up periods expire July 8 (Zhipu) and July 9 (MiniMax), and the market is pricing in anticipated selling pressure. The week that both companies were added to the Hang Seng Tech Index was also the week the stocks started their decline — index inclusion brought new buyers, but it also brought sellers who bought at listing and had been waiting for inclusion to establish an exit.
The underlying business metrics haven't changed. Zhipu's API gross margin improved from 3.3% to 18.9% over the past six months. But the capital structure dynamic — a dual listing that drew retail and institutional cornerstone investors at IPO prices now far above current levels — is compressing the stock independent of fundamentals. This is worth watching because Kimi and StepFun are using Zhipu's trading multiples as one input into their own pre-IPO valuation conversations.
Kimi released and open-sourced K2.7 Code today, with a 6x-speed version coming Monday. The K2.7 Code model shows significant benchmark improvements over K2.6 specifically in long-context coding tasks: +21.8% on Kimi Code Bench v2, +31.5% on MLS Bench Lite, +11% on Program-Bench. Average token consumption per task dropped 30%, addressing the over-thinking problem in long-range planning tasks. The standard K2.7 model goes live today via Kimi API at the same price as K2.6 (¥6.5/1M input tokens, ¥27/1M output). The high-speed version, launching June 15, outputs at roughly 180 tokens/second in typical coding contexts — about 5-6x the standard version — at 2x the standard price. The open-source weights are available at huggingface.co/moonshotai/Kimi-K2.7-Code.
Kingsoft Cloud is raising AI compute prices 15-50% starting July 12. The company's official announcement cites rising global AI compute demand and hardware costs. AI-compute-related services go up 15-50%; file storage related to those services goes up 30-50%. Existing reserved instances are grandfathered through their current billing cycle. The context: Kingsoft Cloud's Q1 2026 revenue was ¥2.7 billion (up 37.2% year-over-year), with AI inference workloads now accounting for more than half of public cloud revenue and growing 90% year-over-year. The price hike reflects a structural shift: demand is outpacing capacity additions. This isn't isolated — Alibaba Cloud and Tencent Cloud have also raised inference pricing in the past 90 days as demand from AI application deployments accelerates.
Huawei's HDC 2026 opened in Shenzhen today with several concrete announcements. HarmonyOS 6's upgrade adoption rate reached 98%, with active device count now at 66 million terminals — targeting 100 million by year end. The company confirmed that its NearLink (星闪) wireless protocol stack — a short-range communications alternative to Bluetooth and WiFi — will be fully open-sourced on July 15, releasing 150,000 lines of protocol stack code. And the company announced that its AI glasses paired with the Xiaoyi "See the World" accessibility feature will launch in August, enabling visually impaired users to describe and navigate their environment through real-time audio.
China's first 3D multi-layer on-chip capacitor crossed 1,000 nF/mm² density. Hubei Jiangcheng Laboratory announced today that it has developed a three-dimensional multi-layer on-chip capacitor exceeding 1,000 nanofarads per square millimeter — a threshold relevant for AI GPU chips, high-performance processors, and other advanced logic dies. The capacitor can be built directly inside the chip die or in adjacent silicon substrate, positioning it for nanosecond-level current transient response required in AI inference hardware. Target customers include China's domestic CPU, GPU, and mobile processor supply chains. The technology is currently in the pilot production and first-article qualification phase.
More US companies are sending data directly to DeepSeek's China-hosted servers. SCMP reported this week that DeepSeek topped Ramp's "trending software vendors" list in June — a tracker of which vendors businesses are paying for the first time. The analyst quoted in the report noted explicitly that these are direct API calls to DeepSeek's China-hosted infrastructure, not self-hosted deployments of DeepSeek's open-source weights. The policy debate in Washington about data residency and AI vendor access therefore has a concrete new data point: enterprises facing budget pressure on Anthropic and OpenAI pricing are solving it by routing through Beijing.