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Mark Cuban says AI chips will be the 'new crypto'

Crypto
Last updated: August 16, 2026 6:08 pm
Crypto
Published: August 16, 2026
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Mark Cuban says AI chips will be the 'new crypto'

Mark Cuban said on Aug. 16 that “chips as an asset class will be the new crypto,” offering a one-line prediction as artificial intelligence drives demand for advanced computing hardware.  Summary Mark Cuban said chips as an asset class could become the next crypto-like investment category. CoreWeave closed a $2.6 billion facility this month backed by long-term confidence in GPU demand. Nvidia reported quarterly data center revenue of $75.2 billion, rising 92% year over year recently. CoreWeave has pioneered GPU-backed financing, showing chips already function as collateral within institutional credit markets. Bitcoin advocate Pierre Rochard rejected Cuban’s analogy because chip manufacturing lacks halvings and difficulty adjustments. Cuban did not identify a financial product, investment structure or timetable in his post. The comment has been widely interpreted as referring to high-end AI accelerators such as GPUs. However, Cuban did not explicitly define which chips he meant. His claim therefore remains a broad investment thesis rather than an announced business venture or established asset category. Chips as an asset class will be the new crypto— Mark Cuban (@mcuban) August 15, 2026 GPU-backed financing gives Cuban’s idea a precedent AI hardware is already being used in financial structures that go beyond simply purchasing semiconductor stocks. CoreWeave closed a $2.6 billion delayed draw term loan facility on Aug. 10 to finance high-performance computing infrastructure. The company said the structure reflected lender confidence in long-term GPU demand. The approximately five-year facility extends beyond the average three-year duration of the customer contracts supporting it. CoreWeave said lenders were therefore accepting renewal risk based partly on expectations for the future value of Nvidia GPUs deployed through its cloud platform. The transaction was also oversubscribed. CoreWeave has pursued GPU-backed financing for several years. In May, it completed another $3.1 billion publicly syndicated facility and described AI infrastructure financing as an “emerging asset class.” That is CoreWeave’s characterization and does not mean individual GPUs currently trade like cryptocurrencies. AI demand is supporting strong GPU economics Nvidia’s latest reported quarter provides another measure of demand. The chipmaker reported $75.2 billion in data center revenue for the quarter ended April 26, up 92% from the previous year. Total quarterly revenue reached a record $81.6 billion, according to its May results. Those figures do not establish chips as a standalone investment class. GPUs are physical assets that face technological obsolescence and depend on electricity, networking, data center capacity and customer utilization to generate revenue. Their supply also lacks the fixed issuance mechanics that distinguish Bitcoin. Bitcoin advocate Pierre Rochard made that distinction in response to Cuban. He wrote that chip manufacturing has neither difficulty adjustments nor halvings and is therefore “not the new bitcoin.” Cuban’s prediction follows his retreat from Bitcoin Cuban’s latest comment comes less than three months after he sharply reduced his Bitcoin exposure. As crypto.news previously reported, he sold roughly 80% of his Bitcoin holdings after losing confidence in its hedge narrative. Cuban said Bitcoin was “not the hedge I expected” and had “lost the plot.” He did not abandon every digital asset. Cuban said he continued holding Ethereum because he viewed smart contracts and decentralized finance as having clearer utility. His Aug. 16 chips comment did not say that he was replacing his remaining crypto exposure with hardware investments. What happens next The clearest test of Cuban’s prediction will be whether GPU financing becomes more standardized and accessible beyond specialist AI infrastructure operators. CoreWeave’s transactions show institutional lenders are already willing to finance computing infrastructure at multibillion-dollar scale and accept some risk around the future earning power of GPUs. For now, however, “chips as an asset class” remains Cuban’s prediction rather than a defined market category. The underlying trend is measurable: Nvidia is reporting rapidly growing data center sales, while lenders are financing GPU-backed infrastructure in increasingly large transactions. Whether those developments eventually produce a liquid market resembling crypto remains unconfirmed.

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