BlackRock’s Larry Fink says AI chips may become an “asset class,” drawing parallels to mortgage-backed securities

BlackRock CEO Larry Fink on Tuesday was quoted making a provocative comparison: that Nvidia AI chips are moving toward becoming an “asset class” in the way Wall Street once treated mortgage-backed securities. The remark, reported by Yahoo Finance and syndicated by Barchart, frames the current AI hardware boom as more than a tech cycle and instead as a potential financial-market phenomenon.

According to the report’s description, Fink compared the growing investment interest in AI chips to mortgage-backed securities, a class of structured products that became central to the 2008 financial crisis. The comparison is not a claim that AI chips are inherently the same as housing debt, but it suggests a common market dynamic, where assets tied to a single underlying engine can be packaged, financed, and traded at scale.

The “asset class” language points to how institutional portfolios and financial intermediaries may start to treat a technology supply chain as something investors can allocate to, hedge against, or securitize indirectly through structured products and funding channels. In the AI era, Nvidia has become a key supplier of accelerated computing hardware, which has pulled demand from cloud providers, enterprises, and governments into a concentrated upstream dependency.

BlackRock, as the world’s largest asset manager by broad market reach, is closely associated with the way money flows into and out of public and private markets, including through ETFs, active funds, and index strategies. Its public stance and commentary can influence how investors think about thematic exposure, valuation discipline, and risk concentration.

Even with that context, the reported material does not provide specifics on what BlackRock expects to do next. The description does not indicate whether Fink was referring to new products, any planned funds tied to AI-chip exposure, or a particular underwriting or securitization structure, nor does it describe any quantitative risk thresholds.

The mortgage-backed securities comparison also leaves open an important question: what, exactly, would constitute the “bundling” or “packaging” mechanism in the AI-chip case. The report summary does not detail whether Fink was pointing to derivatives linked to semiconductor equities, financing arrangements that treat chip supply as collateral, or structured investment products that could, in a stress scenario, transmit losses across the financial system.

For investors and risk managers, the practical takeaway is that the market is beginning to talk about AI hardware in the same breath as complex financial instruments. That means attention may shift from only operating fundamentals, such as unit demand and margins, to how leverage, liquidity, correlations, and supply-chain bottlenecks could interact during a downturn.

What to watch next is whether BlackRock or other major asset managers provide further clarification on what “asset class” means in this context, and whether regulators or financial market participants address the potential for concentrated exposures or structured products tied to the AI buildout. Until more detail is given, the core substance remains Fink’s cautionary framing rather than a disclosed new transaction or policy change.