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Weekly Dose of China Tech [9.14.2026]

Hi friends,

Hope you’re doing well, no matter what’s been going on this week

This week is mostly a story about growth, just not all the same kind. BYD is chasing growth overseas, now that its home market has turned into a price war that eats its own margins. XPeng just brought its robot production line online, betting a second business can eventually outgrow the first. DeepSeek is growing its headcount to keep its own infrastructure from buckling under demand. And Xiaomi is growing upmarket, putting its own chips into a phone that can finally go head-to-head with Apple and Huawei on price.

Four different kinds of expansion, one question underneath: does growing faster actually make any of these companies stronger, or just bigger?

This Week Features...

BYD Won China. Now It Has to Back It Up Overseas.

On July 28, BYD launched a tiny electric kei-car in Japan, one of the hardest markets on earth for any foreign automaker to crack, a market Tesla has never managed to build real volume in. BYD gave itself two weeks to hit 1,000 orders. It got there in the same span, the fastest order ramp any BYD model has ever had in Japan.

That’s an awkward result for a company still routinely dismissed online as a subsidy-fed accounting trick. You can question BYD’s subsidies, its sales data, its debt, those are fair questions. But eventually you have to explain the cars: a factory built in Thailand in 16 months, Brazil’s president driving one, second place in Australia behind only Toyota. This piece treats BYD crossing 50% overseas revenue for the first time as six separate tests of whether a genuinely global Chinese automaker is actually being built, market by market.

[Read the full piece →]

Bill Gates Has a Plan for AI's Future. What About Its Present?

Bill Gates recently published a 6,000-word essay warning that AI could become either humanity's greatest equalizer or its worst source of injustice, and proposed new global institutions and taxes on AI tokens and robots to manage the transition.

The diagnosis, this piece argues, starts too far in the future. Klarna and Meta didn't lose jobs to AI, they lost them to executives who cut too fast and had to rehire humans to clean up the mess. AI-designed viruses sound terrifying until you notice how much lab work, money, and human expertise still stand between a generated gene sequence and an actual pathogen. Before regulating an imagined autonomous machine, this piece asks, why not start with the companies, financiers, and executives making today's decisions?

[Read the full piece →]

The News…

(I) Xiaomi Is Putting Its Own Silicon at the Center of the Flagship Fight

Xiaomi unveiled the Xiaomi 18 Fold this week, a premium foldable built around its own Xring O3 chip and CXMT's LPDDR6 memory, the same LPDDR6 that CXMT rushed into mass production just weeks ago. The O3 packs 24 billion transistors, 26% more than last year's Xring O1, with CPU performance up 60% and power consumption down 25% on some tasks. The phone starts at RMB 10,999 ($1,639), pushing Xiaomi further into the same premium bracket as Apple and Huawei.

Xiaomi is still nowhere near Apple's level of vertical integration, but the direction is clear: design your own processor, source your own memory, and keep climbing the price ladder on hardware you actually control. Coming right after CXMT's LPDDR6 launch, this is the first real evidence that the chip-memory pairing isn't just a press release, it's shipping in a flagship phone at scale.

(II) DeepSeek's Hiring Spree Is About Plumbing, Not PhDs

DeepSeek is opening around 150 new positions, what Harness team lead Cui Tianyi called an "unprecedented" hiring push, but the mix is telling: most of the roles are for backend engineers and Agent infrastructure, not AI researchers.

The company's systems have simply outgrown themselves. Machines, containers, training and evaluation jobs, Agent environments, and user requests are all climbing fast enough to strain the backend DeepSeek already has, and the timing lines up: this comes right after new V4 models, new Harness developer tools, and API price hikes of up to 11x. Scaling the model was the easy part. Scaling everything underneath it is now DeepSeek's actual bottleneck.

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