China’s Kimi K3 AI Model Shakes Bitcoin and Tech Stocks

Bitcoin struggled to hold $64,000 after China’s Kimi K3 AI model stunned markets, beating top models and sparking a tech sell-off. Fading U.S. crypto legislation hopes added pressure, while miners face new risks from cheaper AI compute.

Last Updated: July 28, 2026 Editorial Process
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Published on: July 18, 2026

July 18, 2026, (Inside AI) — Bitcoin edged back toward $64,000 on Saturday, recovering some ground after a sharp sell-off that rippled through technology and cryptocurrency markets. The decline was triggered by a new Chinese artificial intelligence model and fading hopes for U.S. crypto legislation, both of which rattled risk appetite.

Bitcoin was trading at $63,972.7 as of 05:08 ET (09:08 GMT), up about 157% from its previous close after swinging between $62,505 and $64,287. Earlier in the week, the cryptocurrency had neared $65,000 following softer U.S. inflation data, but Friday's slide erased those gains.

The catalyst was the release of Kimi K3, an open-weight AI model from Beijing-based Moonshot AI. It outperformed Anthropic's Claude Fable 5 and OpenAI's GPT-5.6 on a closely watched frontend coding benchmark, scoring 1,679 on the leaderboard compared with 1,631 for Claude and 1,618 for GPT-5.6. Moonshot's previous model had ranked 18th, marking a stunning 17-place improvement in a single release.

The model packs 2.8 trillion parameters and uses a mixture-of-experts design, activating only part of its architecture per task. Its full weights are scheduled for public release on July 27, allowing developers to download and run the system on their own hardware. That prospect unsettled technology valuations by challenging the assumption that leading AI capabilities will remain scarce and expensive.

Bitcoin has recently traded in lockstep with semiconductor shares, strengthening its connection to the broader AI investment cycle. The Kimi K3 launch hammered chip stocks, dragging down crypto in a correlated risk-off move. This linkage reflects how digital assets are increasingly sensitive to AI infrastructure trends, not just traditional macro forces.

The Miner Squeeze: When Cheaper AI Undercuts Bitcoin Infrastructure

The shock also threatens listed Bitcoin miners that have pivoted to AI and high-performance computing. These firms repurposed power capacity for data centers, betting on sustained demand for expensive compute. Cheaper, more efficient models like Kimi K3 could slash that demand, weakening the economics behind their contracts and squeezing a key revenue stream.

Regulatory uncertainty added another headwind. Polymarket traders lowered the probability of the CLARITY Act becoming law by December 31 to a record-low 32%, down from a February peak of 82%. The bill would divide oversight between the SEC and CFTC, but Senate negotiations remain stalled over ethics provisions covering public officials' digital-asset interests. With Congress approaching its August recess, few legislative weeks remain.

This isn't the first time AI breakthroughs have rattled crypto. In early 2025, DeepSeek's cost-efficient model triggered a similar tech sell-off, briefly dragging Bitcoin lower before it decoupled. The Kimi K3 episode tests whether that pattern holds or if the AI-crypto correlation has permanently deepened. Competing viewpoints note that Bitcoin's long-term value proposition as digital gold should insulate it from AI hype cycles, but short-term traders are clearly spooked.

Separately, Ripple committed $250,000 in RLUSD-funded grants to 25 veteran- and military spouse-owned businesses. Each recipient will receive $10,000, employer training, and access to more than 20,000 military-connected job seekers. While unrelated to the market turmoil, it highlights ongoing blockchain adoption efforts amid the volatility.

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