YZi Labs Bets on Crypto Bottom for Top Returns

Binance founder Changpeng Zhao said YZi Labs’ investments made over the past few months could become the firm’s best-performing trades. He said the venture arm invested near the bottom of the crypto bear market, when asset prices were close to cyclical lows. YZi Labs has disclosed seven investments in 2026, including Genius, BitGo, RoboForce, Atlas Scout, Predict.fun, AEON and TermMax. Major deals included a $52 million lead investment in RoboForce, a $1 million investment in Atlas Scout and an $8 million seed round for AEON. Zhao also said the flow of capital into artificial intelligence is pressuring weaker, short-lived crypto teams, while AI-related funding is beginning to return to digital assets. Bitcoin recovered after falling 47% from its peak but remained well below its October high. The comments highlight continued venture interest in crypto infrastructure, AI agents, payments, prediction markets and lending platforms, but do not guarantee token or market gains.
Neutral
The immediate market impact is likely neutral. Zhao’s comments provide a positive signal about long-term venture confidence, especially in crypto infrastructure, AI agents, payments and decentralised finance. However, the article contains no new funding announcement, token launch, exchange listing or change in network usage that would normally trigger sustained buying. The investments are largely private and may not offer traders direct exposure. In the short term, traders may interpret the comments as evidence that sophisticated investors view the recent weakness as an accumulation opportunity. This could modestly support sentiment around Bitcoin and AI-related crypto narratives, particularly if broader risk appetite improves. The effect is likely limited because Bitcoin has already recovered from a 47% decline but remains below its October high, signalling that macro conditions and market structure remain important. In the longer term, successful investments by YZi Labs could strengthen confidence in crypto venture funding and help attract capital to projects linked to AI agents, payments, prediction markets and lending. Similar historical periods show that venture investment near bear-market lows can produce strong returns when liquidity and adoption recover, but many early-stage projects also fail or remain illiquid. Traders should therefore treat the comments as a sentiment indicator rather than a direct buy signal, and monitor Bitcoin price levels, funding rates, venture-financing activity and broader AI-crypto capital flows.