Interviews

Inflation, exchange rates, sanctions, market panics—we dream of “calculating” all this in the era of big data. But in the case of any major economic crisis, the chain of human reactions (how officials, businesses, and consumers behave) is so unique and sometimes illogical that it breaks any model. In this interview, we’ll break down what AI can already do in economics and where it still “stumbles” over real life.

AI in pharma and life sciences is an easy “sell,” yet delivering real value remains a formidable challenge. Progress is most often hampered by closed data, weak data sharing, and inflated expectations. In this interview with Marcin Wawryszczuk (PhD, MBA) — Head of AI at Andersen and an AI researcher — we discuss how data platforms are becoming the bottleneck, whether it is possible to distinguish a viable project from a mere demo, and why, in production, resilience to drift and explainability of results outweigh impressive metrics.

The genre of the LLM interview emerged the moment the first model was released to the public. Since then, “artificial intelligence” has been asked to prophesy the future, debate the philosophical nature of being, or simply engage in heart-to-hearts. This creates the illusion of conversation with a sentient being — a phenomenon that simultaneously frightens, astonishes, and inspires awe. Yet, we have never encountered an interview where the AI is addressed honestly, with its mask of humanity stripped away.