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AI Newsletter

3. März 2026 · 05:45 Uhr

1

Chipmaking equipment monopolist ASML enters advanced packaging for AI chips

THE DECODER

ASML, monopolist in EUV lithography machines, is diversifying into advanced packaging – a downstream value-added stage in AI chip manufacturing. This strengthens ASML's position across the entire chip supply chain and could unlock revenue potential in the booming AI market, while simultaneously reducing dependencies on individual customers (TSMC, Samsung).

2

New Anthropic prompt causes ChatGPT and others to reveal collected knowledge about users

THE DECODER

Anthropic strategically exploits data privacy concerns at OpenAI and lowers switching barriers through an import function for user contexts from ChatGPT – a direct competitive move for customer acquisition. This intensifies AI chatbot competition and simultaneously raises questions about data security and regulatory implications.

3

Anonymous sources reveal what really caused the Anthropic-Pentagon deal to fail

THE DECODER

The failed Anthropic-Pentagon deal collapsed due to data privacy concerns (mass data from US citizens) and technical solutions, while OpenAI simultaneously prepared a deal with the Pentagon. This shows a strategic competitive advantage for OpenAI in the lucrative US defense sector and reveals regulatory hurdles for AI companies in government contracts.

4

ElevenLabs Scribe v2 beats Google and OpenAI in new speech-to-text benchmark

THE DECODER

ElevenLabs positions itself with Scribe v2 as the technological market leader in the speech-to-text segment, surpassing established competitors like Google and OpenAI in benchmark tests. This strengthens the AI startup's competitive position and could lead to higher customer acquisition and premium pricing potential. The technological advantage is a critical differentiator in a rapidly growing B2B market (integration in apps, enterprise solutions).

5

AI uncovers internet users in minutes for just a few dollars

THE DECODER

Researchers show that AI models can reliably deanonymize pseudonyms on the internet cost-effectively – a game changer for privacy and business models based on anonymity. This endangers existing privacy assumptions and could lead to stricter regulation (e.g., GDPR tightening) and increased compliance costs for platforms.

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