🤖AI Newsletter
May 25, 2026 · 10:32 Uhr
1Mistral Medium 3.5: New 128B flagship model released
@mistralvibe / pricepertoken.com Mistral AI released Medium 3.5, a new 128-billion-parameter model in public preview, combining instruction-following, reasoning, and coding in a single model – with a 256k context window. Simultaneously, Mistral released an open-source language model for edge devices and Devstral 2 for coding agents. Mistral continues to build its reputation as the most powerful open-weight alternative to proprietary models, increasing pressure on OpenAI and Anthropic.
2OpenAI IPO: Markets expect valuation over 1 trillion dollars
Polymarket / pricepertoken.com Prediction markets show 82% probability of OpenAI's valuation exceeding 1 trillion dollars on IPO day – with 8.7 million dollars trading volume on relevant markets. GPT-5.5 Pro is now available on Azure ($5/M input tokens) and OpenAI has been releasing new model versions almost monthly since November 2025. The combination of model cadence and IPO momentum positions OpenAI as the most capital-market-dominant AI company of the year.
3AI boom on false premises? Reddit debate over circular revenues
r/stocks A viral Reddit thread with 580 points and 317 comments questions whether the AI boom is based on circular revenues: hyperscalers buy from AI labs, AI labs buy computing capacity from hyperscalers. The most-liked comment compares the situation to a gold rush – NVIDIA and infrastructure providers are sure to profit, while AI producers barely benefit yet. This skepticism meets a market environment where $700 billion capex is attributable to just four companies.
4Agentic AI: McKinsey documents 10–30% revenue increase in marketing
@McKinsey McKinsey documents in a new analysis that agentic AI accelerates marketing workflows 10–15× and enables revenue increases of 10–30%. In parallel, Grok analysis predicts that inference demand from long-horizon agents will drive the next wave of domain-specific post-training companies. According to McKinsey, companies already implementing agentic AI architecture are building a structural competitive advantage that will be difficult for laggards to catch up with.
5HSBC CEO to employees: Don't fight AI – banking sector faces job cuts
Reuters / reuters.com HSBC CEO has publicly urged employees not to fight AI, while banks increasingly speak more openly about job elimination through AI. Reuters reports that fears are growing among bank employees as institutions make more concrete statements about AI-related job losses. This signals a new phase of corporate communication: from vague promises about human-AI synergy to open announcement of structural workforce reductions in the financial sector.
Situation Report
The AI industry is at an inflection point in May 2026: four hyperscalers are jointly investing 710 billion dollars in AI infrastructure, while prediction markets credit OpenAI with an IPO valuation exceeding 1 trillion dollars and see Anthropic as the leading model lab with 76% probability through end of June. Simultaneously, structural skepticism is growing – both in markets (question of circular revenues) and in society (campus protests, banker anxieties) – suggesting increasing tension between capital allocation and real economic benefit. Competition is shifting from pure language models toward agentic AI architectures, where McKinsey documents measurable productivity gains and Mistral with open-weight models is challenging proprietary providers for market share. From a security policy perspective, the escalating talent concentration at Anthropic is relevant, as is the emergence of the Claude mythology model in Japanese megabanks for cyber defense – a signal that frontier AI models are now actively being integrated into critical financial infrastructure.
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