AI News for Week 45 begins with a sharp drop in stock prices: Following the U.S. congressional elections, the Nasdaq is experiencing its worst day since April 2025. The EU still lacks AI regulatory agencies, and Telekom’s AI factory in Munich is fully booked. All three news stories concern decisions
This week’s AI news (Week 44) focuses on access and goals: The German government has unveiled measurable AI goals for 2030, Goldman Sachs is restricting access to coding tools, and Google is making its most powerful model available first to security teams. All three news stories relate to the same
The AI News for Week 43 focuses on who is leading the AI market: Anthropic reveals audited financials for the first time in its IPO prospectus, Nvidia unveils industry agents in Berlin, and BCG compares the AI maturity of 79 economies. For companies in the DACH region, the report offers
The AI News for Week 42 focuses on money, computing power, and the question of who benefits: The German government is bringing Nvidia on board for industrial AI, Google is making its most powerful model available to businesses, and Anthropic is donating shares to the public good ahead of its
News & Tech Trends 13. Oktober 2026 6 Min. Lesezeit KI-News KW 41: Anthropic stoppt Internetzugang für Agententests Also: Google is giving AI agents their own email accounts, and OpenAI's revenue is $20 billion lower than previously reported Robin Reuschel Experte für KI-Strategie & Organisation The Week in 30 Seconds
AI can prepare tickets, orders and checks today. The prerequisite? AI process automation. Many companies have experimented with AI: Texts, summaries, first assistants. Now it is becoming clear whether AI is really taking work out of processes or just creating new loops. Because as soon as AI not only formulates
Are you looking for co-pilot training for your company and your employees? The choice is often not easy. AI training courses are available from many providers and it is often not immediately clear which training content is relevant for your team. We create individual AI training courses for MS Copilot
The AI News for Week 30 show how providers are bringing AI closer to everyday business operations: Microsoft is sourcing computing power and models from Mistral for its European customers, OpenAI is building an onboarding program for small businesses, and an open-source model is creating 3D maps using a simple
The AI News for Week 29 shows where companies in Germany stand when it comes to AI: More than half of German AI providers rely on models from the U.S., products incorporating AI generate over 120 billion euros in revenue, and Claude Cowork now continues to operate in the background.
The AI News for Week 27 focuses on control: The U.S. government is helping to decide who can use cutting-edge models from Anthropic and OpenAI, the Ministry of Digital Affairs is planning to use AI to facilitate access to government services, and a “Jugend forscht” project is using AI to
Today, marketing teams can create visual worlds in hours that used to require shoots, agencies and long coordination loops. This is both an opportunity and a risk. The opportunity: faster campaigns, more variants, better personalization.The risk: “AI look” instead of brand image, shadow use without approval and legal uncertainty, which
AI has arrived in marketing, but unfortunately often as a wild zoo of individual tools, test accounts and “prompt snippets” in Slack. The result is rarely strategic: more output, but no clean quality, no repeatability, no protection against data and reputational risks. If you want to use AI tools in
AI tools are live in many companies faster than any other IT innovation in recent years. One click in the browser, an add-in in Office, a new SaaS for the team and you’re up and running. But the real questions rarely come before the go-live, but afterwards. Where does our
AI Tools & Tutorials 18. November 2025 18 Min. Lesezeit Prompting Guide für Unternehmen How to get better AI results with clear prompts Robin Reuschel Experte für KI-Strategie & Organisation The short answer The short answer Prompting is not a “nice-to-have” in the company, but a core competence: those who
AI has been around for a long time in many companies, just not officially. Employees are trying out tools such as ChatGPT or Gemini to write emails faster, revise texts or get help with research. This is understandable, as it saves time. At the same time, however, nobody knows exactly
Many teams are experimenting with AI, but the real bottleneck remains the connection to real data and processes. Without a standardized interface, a patchwork of proprietary integrations quickly emerges, which are expensive, involve risks and remain difficult to maintain. The model Context Protocol, MCP for short, addresses precisely this gap.
Your data has long been working for you, the question is: For whom else? AI is rolling out at high speed in many companies, from automation to new analysis models. Expectations are high, the proof of concept is successful, but what is missing is reliable transparency. Where is the data
AI strategy: Successfully into the future with artificial intelligence Artificial intelligence (AI) is fundamentally changing companies: from automation in production and predictive analyses in marketing to the development of personalized services – AI is revolutionizing industries worldwide and offers enormous potential for efficiency gains and new business opportunities. However, these
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