Tracy Alloway
Co-host, Odd Lots podcast (Bloomberg)
aka @tracyalloway
“I can also imagine a world where maybe it's not that important... at some point like the incremental speed factor just starts to become less important when weighed against like the incremental cost of generating speed... to me, this feels like this is the crux of the AI valuation argument.”
“I've heard of a lot of big companies in the US who have been very quietly shifting from some of the closed source models to the open source models like the Chinese ones, like Kimi... And Qwen.”
“this feels like this is the crux of the AI valuation argument, which is like, how much of a premium are we going to place on a model that may be a closed source model that is maybe slightly better than an open source model? How much premium are we going to place on compute that is slightly faster than this other type of compute?”
“I also take the point that there's a distinction between forward guidance and the reaction function in general. But all of that said, at some point, if inflation is above target, you would think the Fed needs to act.”
“I do think where I'm skeptical of the utopia premise is like, I think it kind of assumes that power and social hierarchy is kind of going away at the same time that AI solves a lot of our physical, if not existential problems.”
Tracy Alloway
One-line summary: Co-host of Bloomberg's Odd Lots podcast (with Joe Weisenthal). Tracked here for thesis-grade host framings — notably the speed-vs-cost 'crux of the AI valuation argument' skepticism on the inference-speed premium.
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Said
Speaker-attributed claims extracted from diarized sources. Each bullet mirrors one entry in quotes: frontmatter — keep them in sync.
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On inference-speed-as-a-pricing-premium:
"I can also imagine a world where maybe it's not that important... at some point like the incremental speed factor just starts to become less important when weighed against like the incremental cost of generating speed... to me, this feels like this is the crux of the AI valuation argument." — 2026-05-21-odd-lots-why-cerebras-ceo-andrew-feldman-built-the-world-s (2026-05-21)
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On open-vs-closed-source-model-economics:
"I've heard of a lot of big companies in the US who have been very quietly shifting from some of the closed source models to the open source models like the Chinese ones, like Kimi... And Qwen." — 2026-05-21-odd-lots-why-cerebras-ceo-andrew-feldman-built-the-world-s (2026-05-21)
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On open-vs-closed-source-model-economics, inference-speed-as-a-pricing-premium:
"this feels like this is the crux of the AI valuation argument, which is like, how much of a premium are we going to place on a model that may be a closed source model that is maybe slightly better than an open source model? How much premium are we going to place on compute that is slightly faster than this other type of compute?" — 2026-05-21-odd-lots-why-cerebras-ceo-andrew-feldman-built-the-world-s (2026-05-21)
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On warsh-higher-for-longer-to-brokerage-nii-rerate:
"I also take the point that there's a distinction between forward guidance and the reaction function in general. But all of that said, at some point, if inflation is above target, you would think the Fed needs to act." — 2026-08-31-podcast-odd-lots-richmond-fed-s-tom-barkin-on-the-surprisingly (2026-08-31)
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On solved-world-post-instrumentality:
"I do think where I'm skeptical of the utopia premise is like, I think it kind of assumes that power and social hierarchy is kind of going away at the same time that AI solves a lot of our physical, if not existential problems." — 2026-08-20-odd-lots-nick-bostrom-on-what-happens-if-ai-solves-all-of (2026-08-20)
Sources
- 2026-05-21-odd-lots-why-cerebras-ceo-andrew-feldman-built-the-world-s
- 2026-08-31-podcast-odd-lots-richmond-fed-s-tom-barkin-on-the-surprisingly
- 2026-08-20-odd-lots-nick-bostrom-on-what-happens-if-ai-solves-all-of
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