Video Description
AI’s next phase hinges on a paradox: falling costs could threaten today’s winners while unlocking far greater demand.
Steve Hou, head of research at Silicon Data and former Bloomberg strategist, joins us to examine the changing economics of AI compute.
We discuss token efficiency, model routing, GPU pricing, memory bottlenecks, and when enterprise adoption may finally deliver measurable returns. Enjoy!
TIMESTAMPS:
00:00 Intro
01:01 Why AI Compute Needs Hedging
06:55 What The Token Index Really Shows
14:04 Token Maxing Meets Efficiency
18:35 Who Captures AI’s Value?
22:12 Old GPUs Reveal Surging Demand
27:10 GPU Markets Keep Tightening
32:03 The Memory Bottleneck
37:07 AI’s Next Phase
FOLLOW STEVE
› X/Twitter – https://x.com/stevehou
› Silicon Data –...
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