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🥛 Where crypto fits in AI's $7.6T tab 💰
Goldman Sachs has released a report estimating that AI infrastructure spending will reach $7.6 trillion between 2026 and 2031. This includes costs for chips, data centers, cooling, and power, with $765 billion expected in 2026 alone and scaling to $1.6 trillion per year by 2031. The report highlights the uncertainty of these costs, which can be affected by factors such as chip lifespan, data center costs, chip mix, and bottlenecks.
The cost of building AI infrastructure is uncertain due to several factors. Chip lifespan is one factor, as accountants depreciate AI chips over 4-6 years, but new architectures are released every year with significant performance jumps. Data center costs are another factor, with new AI data centers costing $15-20 million per megawatt, compared to $10 million for old cloud data centers. The mix of chips used, such as GPUs and ASICs, can also impact costs, as well as bottlenecks in production.
If the industry is able to build out AI infrastructure, it is likely that cheaper compute will create demand that did not exist at higher prices. This could lead to the $7.6 trillion estimated build-out cost being insufficient for the future of AI. Crypto can play a role in this build-out in several ways, including decentralized GPU networks, onchain credit, and stablecoins for agent-to-agent payments.
Decentralized GPU networks can absorb older chips, repurposing them for lighter work such as inference. Onchain credit can provide new financing channels for infrastructure projects, while stablecoins can facilitate millions of tiny machine-to-machine payments. Crypto can sit within the financing, compute, and payment chokepoints in both scenarios, whether the build-out works or stalls.
The build-out of AI infrastructure is a significant undertaking, and crypto can play a role in its development. As AI scales, crypto is likely to be involved in some way, whether through financing, compute, or payments. The intersection of crypto and AI is an area to watch, with potential opportunities for growth and innovation.