Hosted by DaziAIWatch · 🇺🇸 US · EN · 31 episodes
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Cut through the AI hype with DaziAIWatch.We are dedicated to decoding the long-term cycles of the AI industry. Stop counting GPUs and start understanding the real variables that drive the market: system efficiency, infrastructure scaling, power constraints, and token economics.Price follows variables. We don't predict prices; we observe cycles.Tune in to uncover the deep business logic and physical realities behind the AI boom.
DaziAIWatch hosts DaziAIWatch | AI Cycle Observer, a technology show with 31 episodes published.
This article breaks down the real cost structure behind one Agent task, including token usage, Codex-style multi-agent workflows, model routing, OpenAI capacity commitments, Micron memory contracts, human review, safety
From Vera CPUs and Brazos cooling to compute contracts and model routers, decoding the real infrastructure bills behind the agent era. ### English Blog Description **Dazi Special 09** follows up on the core thesis of Epi
Dazi AI Watch 021 examines the next phase of AI infrastructure. Training demand remains strong, with continued investment in GPUs, custom ASICs, advanced packaging, HBM and high-density liquid cooling. At the same time,
The most important battle in the agent economy is no longer about which company owns the smartest model. It is about who controls the infrastructure through which AI agents enter the internet, access real-time data, exec
The internet was built for humans: web pages, search traffic, advertising, and clicks. But AI agents are now beginning to read websites, call enterprise databases, manage budgets, obtain identities, make payments, and ev
AI demand is not collapsing. But the market has entered a much tougher phase: the audit phase. In this episode of Dazi AI Cycle Watch, we follow up on Episode 019 and examine the AI inventory cycle from a different angle
The AI cycle is not over, but the easiest phase of the shortage trade may be ending. Over the past two years, the market rewarded whatever was scarce: GPUs, HBM, optical modules, AI servers, high-end PCBs, power, cooling
The AI cycle is not over. It is entering a tougher phase: cost engineering. In this episode of Dazi AI Cycle Watch, we unpack the latest validation behind the compute restructuring thesis. Marvell and Synopsys point to t
The AI cycle is not ending. It is entering a harder phase: cost engineering and profit distribution. The key question is no longer whether AI will produce a consumer super app. The real question is whether AI can enter e
The AI cycle is not ending, but the market is no longer willing to pay for broad narratives alone. In Episode 017, Dazi defined the current stage as the “suspension phase”: AI demand remains strong, but investors have st
The AI cycle is not ending. But the easy phase of the trade may be over. For the past two years, the market rewarded belief: belief in GPUs, cloud capex, HBM shortages, AI servers, optical interconnects, power infrastruc
In this episode of Dazi’s AI Cycle Watch, we continue the logic from Episode 016. The main episode explained the AI crowding-out effect: upstream bottlenecks are gaining pricing power. This follow-up asks what happens do
In this episode of Dazi’s AI Cycle Watch, we move from the software layer back to the physical world. The previous episodes explored how AI agents may rewrite enterprise workflows and profit pools. Episode 016 asks a har
In this episode of Dazi’s AI Cycle Watch, we move beyond GPUs, data centers, and hyperscaler Capex to examine the application layer. The key question is no longer whether companies are spending on AI infrastructure. The
This episode looks at the real test behind trillion-dollar AI capex. Microsoft, Amazon, Alphabet, and Meta show that AI revenue is starting to appear in cloud, software, and advertising. But Meta’s selloff shows that inv
AI infrastructure is entering a deeper phase. The key question is no longer just who wins the biggest orders, but who can turn those orders into pricing power, contract quality, gross margin, operating cash flow, and fre
This episode focuses on one of the biggest misconceptions in AI infrastructure: AI networking does not automatically mean full optical replacement. In reality: • short reach still favors copper, • mid-range links are bei
This episode is about the most overlooked layer of the AI cycle: building the system is not the same as getting your money back. As AI infrastructure becomes more capital-intensive, the market is shifting from headline o
If Episode 012 was about turning power, land, and infrastructure into real compute, Episode 013 goes one layer deeper: The next AI bottleneck is not chips — it is connectivity. Buying more GPUs is only the starting point
pisode 012 continues the long-term AI cycle series. If Episode 011 was about franchise rights — who gets access to the scarce physical bottlenecks of the AI era — then Episode 012 is about execution rights: Who can actua
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DaziAIWatch | AI Cycle Observer is hosted by DaziAIWatch. The show is categorised under technology and has published 31 episodes.
DaziAIWatch | AI Cycle Observer has published 31 episodes.
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