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Six Five Media Deep analysis of the biggest news, releases, events, and rumors in tech. Hosted by Moor Insights & Strategy and Futurum

10/09/2026

AI may change how enterprises operate, but it still needs the data and tooling already embedded inside those companies. Dan highlights the probabilistic nature of OpenAI and why models alone can’t replace the enterprise systems that provide real-world context.
The Six Five insight: AI disruption isn’t just about the model. The data, tooling, and infrastructure surrounding that model remain fundamental to enterprise AI outcomes.

10/08/2026

HBM is becoming one of the most important memory components in AI systems—and demand is still expanding. Dan Newman says companies are using the right memory mix to drive strong growth while adding capacity for what could be even greater demand.
The Six Five insight: If AI demand remains strong as HBM capacity expands, the resulting combination of volume, mix, and margins could drive significantly larger financial outcomes.

10/06/2026

Microsoft has something many AI companies don't: deep access to enterprise productivity data. Pat Moorhead points to Microsoft Fabric as the layer connecting non-Microsoft data to AI—and highlights its rapid adoption across Microsoft’s portfolio.
The Six Five insight: Enterprise AI advantage may increasingly come from controlling the data and governance layer that connects models to real business information.

10/02/2026

What happens when AI agents start booking flights, ordering food, and buying groceries for you? Dan Newman says Meta could monetize those transactions by taking a small piece every time an agent completes a purchase.
The Six Five insight: The shift from users interacting directly with businesses to agents executing transactions could create an entirely new layer of digital commerce economics.

10/01/2026

A smaller chip company can still have massive scale where it matters. Pat Moorhead points to the ability to leverage IP, volume, and chiplet expertise across billions of chips, potentially creating a cost advantage that isn't obvious from the company's size alone.
The Six Five insight: Reusing technology across enormous volumes can compound manufacturing know-how and chiplet economics, creating advantages in HPC CPUs and accelerators.

09/29/2026

AMD is gaining momentum in AI, but its architecture presents a different approach to scaling GPU systems. Pat Moorhead contrasts AMD’s scale-out strategy with NVIDIA’s Blackwell scale-up system and questions whether AMD’s valuation already reflects substantial future growth.
The Six Five insight: High-performance GPU connectivity is a key factor in scaling AI infrastructure, while investors balance AMD’s ex*****on against future expectations.

09/28/2026

Broadcom's software portfolio may be a future value driver the market is overlooking. 👀
Patrick Moorhead says Broadcom's software assets could become highly valuable over the next few years, but investors aren't giving the story much attention today.
The Six Five insight: Broadcom has a potentially important software growth story developing underneath its AI and semiconductor business—but the market isn't pricing that future value yet.

09/25/2026

Technology markets have repeatedly consolidated around a small number of dominant companies. Dan Newman says Anthropic and OpenAI want AI to follow that pattern, while open-source models could challenge their ability to control the market.
The Six Five insight: When model capabilities become broadly available, the sources of durable competitive advantage may move beyond the model itself.

09/23/2026

Nebius raising prices across its AI compute portfolio is a major signal about supply and demand. 👀
Daniel Newman says Nebius raised prices by more than 20% across H100, H200, Blackwell, and soon Vera products. That ability to increase pricing suggests the demand for available compute remains elevated despite higher costs.
The Six Five insight: AI infrastructure constraints are becoming visible in pricing power, giving compute providers an opportunity to grow both revenue and EBITDA as demand stays ahead of available capacity.

09/22/2026

Salesforce is showing what enterprises can do with genuinely open models. 👀
says Salesforce took NVIDIA's Nemotron and created its own custom model, Qoa. He also points to Nemotron's architecture and openness, noting that it isn't distilled from another model and scores highly on Artificial Analysis's openness ratings.
The Six Five insight: the value of open models isn't just access to the model—it is the ability to use that foundation to create customized AI systems for specific enterprise needs.

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