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AI Newsletter

July 8, 2026 · 04:45 Uhr

1

Copilot on a Budget: Microsoft Replaces OpenAI and Anthropic Models with Its Own AI

THE DECODER

Microsoft is reducing its dependence on OpenAI and Anthropic by replacing their AI models in Office products with its own MAI models—a cost-cutting strategy that could improve profit margins for Copilot services. This signals a shift in value creation away from external AI partners toward Microsoft's own AI infrastructure. For customers, this potentially means trade-offs between cost efficiency and model performance.

2

Anthropic Brings AI Agent "Claude Cowork" to Web and Mobile

THE DECODER

Anthropic is expanding its AI agent Claude Cowork to mobile and web, enabling continuous background automation without desktop dependency and simplifying user experience. This positions Claude as more competitive against OpenAI's agent roadmap and lowers barriers for enterprise adoption, which should directly impact revenue and market share.

3

Anthropic Shows How Claude Thinks Internally in Words Without Expressing Them

THE DECODER

Anthropic has discovered an internal "reasoning mechanism" (J-Space) in Claude that allows the model to solve complex problems internally before responding—without displaying these thought processes externally. This could revolutionize the transparency and controllability of AI systems while significantly boosting their performance. The breakthrough strengthens Anthropic's competitive position against OpenAI/GPT and opens new product opportunities (e.g., paid "Extended Thinking" features).

4

Rising Costs Drive US Firms to Chinese AI Models

THE DECODER

US companies are switching to cheaper Chinese AI models as prices from OpenAI and Anthropic become increasingly economically unviable. This threatens the market dominance and revenue prospects of American AI leaders and intensifies global competition from Chinese providers.

5

OpenAI and Anthropic Give Away Millions in Computing Power to Lock in Startups

THE DECODER

OpenAI and Anthropic are using generous computing credits (up to several million dollars) as a strategic tool to lock startups into their platforms and secure their market position. This creates a massive cost advantage for locked-in developers, while established AI providers face pressure from this competition.

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