The Morning Download: AI Enters Stage of Financial Innovation

Good morning. The unfolding revolution in artificial intelligence is built upon major technological innovations from models to computing, memory, networking and more. Increasingly, it also requires major innovations in finance, too.

Most of that financial innovation is occurring in the debt market forming to support the massive capital spending behind data center construction.

“AI Debt Financing will become a multi-trillion-dollar credit market, with over $7T of debt outstanding by 2029 driven both by AI IT Capex and AI Datacenter Capex needs. This will make it the second largest asset-backed debt market after the US mortgage-backed financing market at just over $13T,” researcher SemiAnalysis said in a July 6 report.

And it isn’t expected to stop there, either.

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“Our forecasts for GPU shipments and datacenter capex for the next few years imply that the total outstanding AI debt financing needs will quickly surpass the size of all other US asset backed markets,” SemiAnalysis said.

To make all of this work, emerging AI “neoclouds” need to expand their customer base beyond a handful of hyperscalers such as AWS and Microsoft Azure that can commit to longer-term contracts, according to SemiAnalysis. Those contracts with highly rated customers allow the neoclouds to raise debt capital that in turn funds their data center construction. But even the hyperscalers can’t generate enough revenue to support the continued growth of the neoclouds and data centers, who need to bring enterprises into the fold. Those enterprises are less likely to commit to five-year contracts, and as a result, the debt markets need to evolve in a way that supports their needs.

“Hyperscaler balance sheets will not be able to backstop trillions of dollars’ worth of compute. … If the lending market does not evolve beyond this template, once hyperscalers exhaust their capacity to backstop deals, there will be no further projects to lend to,” SemiAnalysis says.

A similar dynamic is underway at every level of the AI market. AI labs OpenAI and Anthropic are offering millions in computing credits and perks to startups, competing for future business users, the Wall Street Journal reports. They need more revenue to support their capital spending, just the neoclouds do.

For many people, especially those with memories of the Financial Crisis and Great Recession, the words “financial” and “innovation” should never be used in the same sentence. But so far the underlying demand supports AI capital spending and debt issuance. As SemiAnalysis notes, “Nvidia revenue is skyrocketing, and even 3 years into the build out, the general market is still materially lower on shipment volumes and revenue estimates for Nvidia in the 2nd half of this year versus our through supply chain tracking.”

Tech leader takeaway. Ultimately, that demand is the fuel that keeps the entire system running, and enterprises are the next great source of that energy. Is your company’s demand for AI and compute rising, holding or falling? Let us know.

• AI infrastructure startup Nscale secured a $900 million line of credit to accelerate data-center expansion across Europe, the U.S., and Asia Pacific, the WSJ reports. Backed by Nvidia, Dell Technologies and Nokia, Nscale raised $2 billion earlier this year at a $14.6 billion valuation.

• Samsung Electronics projected record second-quarter operating profit of about $58.47 billion, a 19-fold year-over-year jump driven by surging AI chip demand, the WSJ reports. The strong results, fueled by robust server DRAM chip pricing, come amid broader market jitters over the sustainability of AI infrastructure spending.

• Microsoft will cut some 3,200 jobs from its Xbox videogames division as it restructures the struggling business, the WSJ reports. The company will lay off 1,600 people this week and 1,250 more during the rest of the fiscal year that began this month, Xbox Chief Executive Asha Sharma said in a memo to staff Monday.

• IBM's old Somers, N.Y. campus--"a sprawling, pyramid-studded 1980s complex designed by the late I.M. Pei’s firm"--has become a haven for so-called urban explorers drawn by the detritus of 1980s-era office life. Local residents are not happy, the WSJ reports.

This September 14–15, technology leaders will gather in New York City for the WSJ Technology Council Summit to explore how enterprise AI is moving from experimentation to measurable business value. Join the Technology Council and be part of the conversations shaping the future of leadership, as executives tackle AI deployment, cybersecurity, evolving technology policy, enterprise transformation and the strategies driving the next generation of business innovation.

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Follow Isabelle Bousquette on LinkedIn, Instagram, X, and TikTok for more behind the scenes on her tech and AI coverage, and lately, her contributions to the WSJ Leadership Institute's new Executive Resilience series, where she's profiling America's top execs about their fitness and wellness habits.

Follow Belle Lin on LinkedIn and X for her latest reporting on enterprise technology and AI.

Steven Rosenbush is chief of the enterprise technology bureau at the WSJ Leadership Institute. He also has a column. You can follow him on LinkedIn.

Tom Loftus is the editor of The Morning Download. He suggests following Isabelle, Belle and Steve on their various social channels. But if you insist, here's his LinkedIn.