The economic viability of AI: Why Microsoft and Uber are now hitting the brakes
Is the use of artificial intelligence (AI) in businesses really worth it? Major tech giants such as Microsoft and Uber are already restricting the use of external AI tools. The reason: soaring costs resulting from the switch to token-based billing and the enormous resource demands of autonomous systems (Agentic AI). We shed light on the hidden cost factors and explain what economic alternatives are available.
Overcoming supply chain challenges: credit management & risk analysis
Why are supply chain issues also a matter for credit management? You will learn how to assess and mitigate risks throughout the entire supply chain and how to respond quickly in an emergency. From nearshoring and supplier diversification to pricing and purchase agreements. Find out more about practical strategies for avoiding production downtime, protecting margins and safeguarding your liquidity.
What is Agentic AI?
Imagine autonomous AI agents working in the background and making decisions without you having to manually control every step. But what exactly does the term ‘agentic AI’ mean and what opportunities and surprises does this technology really hold?
Is artificial intelligence with large language models a threat to individual jobs or industries?
Whether it's financial analysis, marketing strategy, legal briefs or software development – automation is advancing at a rapid pace. But is ‘job loss due to AI’ a real danger, or is it primarily a marketing promise made by tech giants?
What will 2026 look like for credit management?
Rising insolvencies, geopolitical tensions, structural weaknesses – credit management will remain a challenge in 2026. Despite cautious growth forecasts, the coming year will not be a sure-fire success. Liquidity, risk transparency and close cooperation with sales will be crucial.
