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Hosted by DaziAIWatch · 🇺🇸 us · EN · 45 episodes
Established thought leaders with verified media credentials.
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 45 episodes published.
NVIDIA’s $500 billion AI infrastructure financing initiative is about more than another wave of spending. AI is beginning to move beyond Big Tech’s own free cash flow and tap the balance sheets of global capital markets,
The AI investment boom is not slowing down, but the way it is financed is changing. As hyperscaler capex approaches the trillion-dollar level, internal cash flow alone is no longer enough to fund every new data center, p
As OpenAI and DeepSeek push AI competition toward lower cost per task, earnings from Microsoft, Amazon, Palantir, and AXT reveal where the industry’s profits are moving next. Cheaper models do not mean a smaller AI econo
The AI industry is moving from a race to spend more into a competition to turn computing power into sustainable revenue. Microsoft monetizes AI through Azure, Copilot, and enterprise workflows; Amazon sells years of futu
Google’s $811 billion in future contractual obligations, Intel’s three-to-five-year CPU agreements, and multi-year memory supply deals in China reveal a major shift in the AI cycle: shortages are spreading beyond GPUs an
The latest earnings from Google, ServiceNow, and Tesla reveal a key contradiction in the AI cycle: enterprises are beginning to pay for AI agents, cloud revenue is growing, yet the infrastructure required to support that
Over the past two years, AI competition was defined by who could secure more GPUs, build more data centers, and expand compute capacity faster. But as Kalshi plots forward curves for GPU compute, CME prepares compute fut
Despite Samsung’s surging profits and ongoing supply shortages at Hynix, their share prices have dropped sharply; meanwhile, Micron and ABF substrate makers continue to be rewarded by the market due to new orders and sup
The challenge for US AI is not a lack of computing power; rather, with massive investments in data centers, GPUs, HBM, power infrastructure, and debt, the industry must prove it can generate revenue and cash flow. Conver
Meta’s reported plan to sell excess AI compute marks a new turning point in the AI cycle. The market is no longer asking only who can secure GPUs, HBM, power, and data center capacity. It is now asking whether these AI f
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
Snowflake
Snowflake
1 appearance on this show
Synopsys
Synopsys
1 appearance on this show
Xiaomi
Xiaomi
1 appearance on this show
Zhipu AI
Zhipu AI
1 appearance on this show
Huawei
Huawei
1 appearance on this show
Marvell
Marvell
1 appearance on this show
DeepSeek
DeepSeek
1 appearance on this show
HP
HP
1 appearance on this show
Meta’s AI-driven ad system
Meta
1 appearance on this show
DeepSeek V4
DeepSeek
1 appearance on this show
AppLovin’s AXON engine
AppLovin
1 appearance on this show
Palantir’s AIP platform
Palantir
1 appearance on this show
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DaziAIWatch | AI Cycle Observer is hosted by DaziAIWatch. The show is categorised under technology and has published 45 episodes.
DaziAIWatch | AI Cycle Observer has published 45 episodes.
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