BlackRock Trims AI's Loudest Names, Whispers Into Bitcoin 🗣️

BlackRock, the world's largest asset manager with a record $13.9 trillion in assets under management as of March 31, has trimmed positions in companies most directly tied to the artificial intelligence buildout, according to comments from Chief Investment Officer of Global Fixed Income Rick Rieder on Wednesday. Rieder described the sales as rebalancing rather than a reversal, telling CNBC that the firm "pulled back a bit and rebalanced" on names whose earnings depend most heavily on AI. He also noted in a separate clip that BlackRock cut a portion of its overall equity exposure.

Rieder's stance mirrors warnings he has issued throughout the year. At a CNBC event in June, he dismissed dot-com comparisons, noting that the Magnificent 7 traded near 26 times earnings with forward earnings growth above 20%. His January outlook argued that 2026 would reward income and selectivity as AI gains separate winners from laggards.

Wall Street remains divided on how to position around the theme. JPMorgan has urged clients to buy the recent chip dip, while Morgan Stanley has preferred hyperscalers, a split that reflects BlackRock's selective approach. Rieder indicated the proceeds may rotate toward cheaper beneficiaries of AI adoption, including power producers, industrials and infrastructure builders positioned to capture the next wave of data center spending.

Signs of profit-taking are appearing across the AI supply chain. AI memory stocks continue to lead 2026 trading even as flows turn cautious, and Samsung shares fell this week despite a forecast 19-fold profit jump as investors booked gains. Concentration remains a concern across the broader market, with the S&P 500 repeatedly setting records on weak breadth driven by a small group of mega caps.

BlackRock has separately expanded its allocation guidance, recommending a 1% to 2% allocation to Bitcoin ($BTC) as another route to returns beyond a handful of dominant AI names. Investors now await the coming earnings season to determine whether the market's largest AI-linked companies can defend their current valuations.