TL;DR
Moonshot’s Kimi K3, a 2.8-trillion-parameter open model billed as the largest ever, helped trigger a global tech and semiconductor selloff, reviving “DeepSeek moment” comparisons. The angle: the rout was multi-causal (weak Netflix and TSMC earnings, the Iran war, risk-off, rate fears), with Kimi one trigger among several. The deeper fear it amplified is real: if capable AI is becoming free, the ~$700bn hyperscalers are spending may not pay back, a risk Apollo’s Torsten Sloek warned could tip the economy into recession.
A new Chinese AI model has rattled global markets, sending tech and chip stocks sharply lower. Moonshot’s Kimi K3 surprised investors and helped fuel a broad selloff, Bloomberg reports.
Traders quickly labelled it a “Kimi moment”, echoing the DeepSeek shock of early 2025. The comparison is doing a lot of work, and not all of it is fair.
What Kimi K3 is
By size, Kimi K3 is the largest open AI model yet released. It is a 2.8-trillion-parameter system with a million-token context window, and TNW has covered its debut as the world’s largest open model.
The claims behind it are what unsettled investors. Moonshot says it matches or beats the strongest US models, including GPT-5.6 and Claude Fable 5, on coding and long-horizon tasks.
Crucially, it is open. The full weights are due later this month, so anyone can download and self-host a near-frontier model rather than paying OpenAI or Anthropic for access.
The rout had many authors
Here is where the framing needs a caveat. Friday’s selloff was overdetermined, and Kimi was one trigger among several.
Disappointing earnings did much of the damage, with Netflix down around 9% and TSMC lower after its results. Add the Iran war, a broad risk-off mood, and lingering rate and inflation fears.
The moves were global and steep. South Korea’s KOSPI fell more than 6%, Japan’s Nikkei over 4%, and US chipmakers Intel, Micron, AMD, and Marvell all slid.
The fear underneath
Strip away the noise and one worry connects it all. If capable AI is becoming cheap or free, the hundreds of billions being spent to build it may not pay back.
Apollo’s Torsten Sloek warned of exactly this, that a timing mismatch between hyperscaler capex and revenue could tip the economy into recession if price competition from Chinese and open models undercuts AI income.
Hyperscalers are on course to spend around $700bn on AI infrastructure this year. A free Chinese model that rivals the best paid ones is a direct challenge to that arithmetic.
Why the panic may be overdone
The DeepSeek precedent cuts both ways. That selloff was also billed as the end of the US AI trade, and the market recovered as the capex kept flowing.
A model existing is not the same as enterprises adopting it. Trust, support, security, and integration still favour the incumbents, and US AI firms are, unlike the dot-com era, genuinely and heavily profitable.
Even so, the pattern is hard to ignore. Chinese labs keep shipping cheap, open, near-frontier models, from DeepSeek, which just cut its prices by 75%, to MiniMax’s giant open system.
The real signal
The takeaway is not that Kimi K3 broke the market. It is that markets are now primed to sell first and ask questions later whenever China shows the frontier can be reached on the cheap.
Each of these launches erodes the same assumption, that frontier AI has to be expensive and American. That is the anxiety no earnings beat quite settles, and Kimi K3 has just poked it again.
