Bitcoin Holds Near $64K as AI Leverage Unwind Rattles Risk Markets

Crypto News

A wave of forced losses swept leveraged exchange-traded funds this week after Chinese AI startup Moonshot unveiled a new model, triggering a sharp selloff across artificial-intelligence and semiconductor stocks. The shock echoed last year's DeepSeek rout: the benchmark semiconductor index has slid roughly 20% from its June peak, entering bear-market territory, while the triple-leveraged Direxion Daily Semiconductor Bull 3X fund shed more than half its value over the same stretch. Retail investors had crowded into these amplified products chasing the AI trade, and our reading of the tape shows the unwind is now feeding back into broader risk appetite, including digital assets, as traders cut exposure to high-beta positions.

The structural risk sits in how concentrated these vehicles have become. Market data indicates leveraged ETFs account for roughly 13% of total US ETF trading volume yet hold only about 1.2% of overall ETF assets — a small pool that punches far above its weight. Because that capital clusters in a handful of AI names and semiconductor firms, a swing in sentiment can amplify volatility rather than absorb it. When the Moonshot announcement hit, the leverage mechanics accelerated the drawdown, forcing daily rebalancing that magnified single-day moves well beyond the underlying stocks and spreading stress across correlated growth assets.

Regulators are already responding. South Korea emerged as a cautionary case, where domestic retail investors piled into single-stock leveraged products tied to Samsung Electronics and SK Hynix, two of the region's core AI-semiconductor names. As sentiment deteriorated, some leveraged funds faced pressure to offload large blocks of SK Hynix shares to stay within their mandates, adding to the downdraft. In response, Korean financial authorities moved to halt new listings of single-stock leveraged ETFs, an official step aimed at curbing the reflexive volatility these instruments inject into an already jittery market.

Leverage is not the sole culprit, and the products have delivered real gains through the cycle. Industry estimates put cumulative profits from currently operating leveraged ETFs at roughly $70 billion, though those returns skew heavily toward a few popular funds. The concern is behavioral: in fast-moving fields such as AI, concentrated leverage compounds the danger when conviction is thin. One wealth manager cited in market commentary warned that investors are trading in and out unusually quickly, a pattern that may signal weak long-term confidence in the AI thesis rather than durable positioning.

The turmoil in AI equities coincides with a structural shift in the technology itself. A Mozilla Foundation report released this month found the capability gap between open and closed AI models has narrowed to about 3.3%, after briefly closing to 0.5% last year. GPT-4-class inference pricing has collapsed from roughly $20 per million tokens three years ago to around $0.40 today — a 50-fold drop that far outpaces traditional hardware cost curves. On mainstream inference platforms, open-weight models now dominate, with the five most-used models on OpenRouter all open-source and developer adoption of open models reaching 79%.

China sits at the center of that shift. The report found Chinese models commanded more than 45% of OpenRouter traffic by April 2026, and 61% of the ten most-used models originated in China. Alibaba's Qwen posted monthly downloads exceeding the next eight organizations combined, while DeepSeek reported more than 26,000 enterprise accounts, with 58% of new AI startups embedding it in their products. A deployment gap persists — only 51% of open-model teams reach production versus 63% for closed models — pointing to infrastructure cost and compliance, not raw capability, as the binding constraint.

Tying these threads together, our desk reads the AI leverage unwind and the open-source power shift as two sides of the same risk repricing now bleeding into crypto. COINOTAG's aggregate market data underscores the caution: our Fear and Greed Index sits at 25, deep in Extreme Fear, Bitcoin dominance holds at 69.8%, and total crypto market capitalization stands near $1.84 trillion. Bitcoin trades close to $64,000 as capital rotates away from high-beta AI bets. For digital assets, the crossover matters — AI trading bot stacks and AI crypto wallet tooling increasingly lean on the same open-weight models, and altcoin AI tokens remain acutely sensitive to this sentiment.