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▶ 9:47 · AI Infrastructure · Hyperscalers shift from token maxxing to token optimizing as capex deflation drives adoption
episode briefing
Bloomberg Tech

AI Spending Takes Center Stage in Big Tech Earnings | Bloomberg Tech 7/23/2026

2026-07-23 · 8 company · 14 thematic
sentiment
7 bull0 bear1 neu
speakers
ivan

Ivan is COO of Tigris Financial Partners, providing investment analysis on tech stocks like Tesla and AI infrastructure.

amnon shashua

Amnon Shashua founded Mobileye and led it for 27 years, now transitioning to Chairman to focus on long-horizon AI and robotics technology.

arvind krishna

Arvind Krishna has spent 35+ years at IBM, becoming CEO in 2020. He orchestrated the company's pivot to hybrid cloud and AI, including the $34B Red Hat acquisition and spin-off of Kyndryl. He holds a PhD and 15 patents.

eric sheridan

Eric Sheridan leads Goldman Sachs' TMT research and provides investment analysis on Alphabet and AI capex trends.

ian king

Ian King covers semiconductors for Bloomberg, reporting on Intel's foundry turnaround and earnings.

now playing · AI Infrastructure
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Hyperscalers accelerating capex despite negative FCF; shift from token maxxing to token optimizing
Alphabet, Tesla, and other hyperscalers are raising capex aggressively (Alphabet to $75B, Tesla to $25B) even as free cash flow turns negative, because compute supply constraints make capac…
AI Infrastructuretailwindscore 8/10eric sheridan
Hyperscalers shift from token maxxing to token optimizing as capex deflation drives adoption
The AI economy is shifting from maximizing token output to optimizing token efficiency and cost; every compute shift historically brings unit growth through deflation, and Alphabet's TPU st…
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White House accuses China's Moonshot of using restricted Nvidia chips and distilling US models for Kimi K3
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White House accuses Chinese startup Moonshot of using restricted Nvidia chips and US model distillation
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Memory and networking component prices up 60-80%; Musk praises Micron for securing allocation
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Quantum computing has moved from science to engineering realm; IBM plans to deliver a machine capable of 100 million large-scale quantum computations by 2029 and estimates a trillion-dollar…
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Early OpenAI/Anthropic backers like Khosla Ventures raising larger funds faster; deployment cadence accelerating
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