Monetary Matters with Jack Farley
Monetary Matters with Jack Farley

Jim Chanos & Val Zlatev: Long and Short Alpha in AI, Semiconductors, Neoclouds, and Data Centers | MacroMinds Symposium 2026

June 20, 2026

AI Summary

5 min read

In 1999, the guiding truth of the internet was that traffic was doubling every quarter. Companies built their business models on that assumption, and order books exploded. Then the real growth rate turned out to be doubling every year—still fast, but not fast enough to justify the spending. Jim Chanos, the legendary short seller, draws this parallel to the current AI boom not to predict a crash, but to warn that the same dynamics are in play: a capex frenzy, a disconnect between the companies selling the picks and shovels and the companies capitalizing those costs, and a set of business models that may not survive the cycle. In a panel hosted by Jack Farley at the MacroMinds Symposium, Chanos and Val Zlatev, a multi-billion dollar hedge fund manager specializing in semiconductors and tech hardware, debated where the real value lies in AI—and where the traps are hiding.

The Capex Boom and the Depreciation Mirage

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What you'll learn

  • 1 (01:30) **Macro Skepticism vs. Micro Reality** - Jim Chanos warns against extrapolating AI's impact to broad economic growth, citing the pre/post-internet era where growth and corporate profitability were unchanged. Val Zlatev counters that micro-level effects are already visible in hard-tech companies, where headcount has barely grown while operating profits have surged.
  • 2 (05:58) **The Capex Boom Accounting Disconnect** - Chanos explains that the profitability of AI is distorted by accounting: companies selling chips (Nvidia, GE Vernova) recognize revenue immediately, while hyperscalers capitalizing those costs.
  • 3 (08:13) **Short Thesis: Neoclouds and Data Center Developers** - Chanos identifies inherently unprofitable business models attached to the AI ecosystem, specifically Bitcoin miners turned data center developers and neoclouds.
  • 4 (09:10) **The Depreciation Time Bomb** - Chanos explains that much of the AI capex is capitalized as "construction in progress" and not yet expensed, creating a lag where profits appear inflated.
  • 5 (11:17) **Neoclouds vs. Legacy Data Centers** - Val Zlatev distinguishes neoclouds (CoreWeave, Nebius) from legacy colocation (Equinix, Digital Realty), noting neoclouds have software/optimization layers and spot inference exposure.
  • 6 (14:23) **Why Hyperscalers Rent from Neoclouds** - Val Zlatev explains that Nvidia deliberately allocates supply to neoclouds to avoid being beholden to just four hyperscaler customers, creating competition.
  • 7 (18:46) **Data Centers in Space: A Skeptical View** - Chanos debunks the space data center thesis, arguing power costs are a tiny fraction of data center costs, while radiation, redundancy, and maintenance in space are prohibitively expensive.

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Show Notes

In this panel at MacroMinds Symposium, Jack Farley sits down with legendary short seller Jim Chanos and Val Zlatev, Portfolio Manager and Partner at Analog Century Management, to analyze the long and short opportunities of the AI and semiconductor boom. Chanos highlights a significant timing disconnect wherein chip suppliers recognize revenues immediately while hyperscalers capitalize their massive infrastructure costs—a trend mirroring the late-1990s CapEx boom before tech earnings collapsed by 40%. Chanos expresses deep skepticism toward "neo-cloud" data center developers like CoreWeave, modeling a very generous ten-year GPU lifespan (depreciation schedule) to forecast low pre-tax returns on invested capital. From a micro perspective, Val Zlatev outlines the structural upside for high-demand memory stocks, noting they trade at cheap forward multiples because physical supply chain constraints hard-cap semiconductor equipment manufacturing growth at 30% annually. The discussion also scrutinizes Elon Musk’s projection for one terawatt of compute capacity, breaking down the immense real-world barriers facing space data centers, including launch costs, space radiation, and maintenance logistics. They also dissect the SpaceX S1 filing, revealing that the primary rocket launch division continues to lose money despite the profitability of Starlink. Recorded on June 4th at MacroMinds Symposium.


About MacroMinds:

At MacroMinds, our vision is to unite the investment community in support of organizations that are making a meaningful difference in the lives of students and their families.

By partnering with high-impact nonprofits that serve socio-economically disadvantaged communities and schools, MacroMinds is committed to helping close the educational gap and expand opportunity across the New York area.


MacroMinds website:

https://macrominds.org/

https://macrominds.org/donate/


Charities supported by 2026 Symposium:

NYC First: https://macrominds.org/nyc-first/

Opportunity Music Project: https://macrominds.org/opportunity-music-project/

100 Women in Finance: https://macrominds.org/100-women-in-finance/

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