BlackRock is signaling a shift in institutional crypto strategy, with investors increasingly concentrating on a small number of digital assets. According to digital assets head Robbie Mitchnic, clients are prioritizing Bitcoin and Ethereum while showing limited interest in the broader altcoin market.
Mitchnic described the rapid turnover among smaller tokens as a sign that many lack long-term value. As a result, institutional portfolios are becoming more selective, focusing on assets with established track records and liquidity rather than speculative exposure.
Rather than the proliferation of new cryptocurrencies, Mitchnic pointed to artificial intelligence as the more significant force shaping the future of the industry. He argued that crypto and AI are naturally complementary, describing crypto as “computer-native money” and AI as “computer-native data and intelligence.”
This convergence could create new use cases, particularly in machine-to-machine transactions and automated systems that require digital-native payment infrastructure. In this view, crypto’s role extends beyond speculation into becoming a foundational layer for emerging technologies.
The growing overlap between AI and crypto is already influencing industry behavior. Several Bitcoin mining companies, including Hut 8, Core Scientific, and Iren, are shifting resources toward AI-related computing and high-performance data processing.
These moves reflect a broader trend of leveraging existing infrastructure for new revenue streams, particularly as demand for AI computing power increases.
Mitchnic also suggested that Bitcoin could benefit from AI-driven economic disruption. As industries evolve rapidly, Bitcoin may serve as a diversification tool within portfolios, offering a hedge against uncertainty.
While interest in altcoins appears to be fading among large investors, the intersection of AI and crypto could open new avenues for growth. In this context, the next phase of the market may be driven less by token expansion and more by technological integration.