AI can bring more than the industrial revolution

The efficiency-enhancing capabilities of artificial intelligence can already be felt in many sectors: AI built into office software and enterprise systems can automate routine tasks, analyze large data sets, or ensure real-time inventory management. The role of AI-based chatbots in customer service is also increasingly widespread, although these often do not perform at the expected level.

The PwC study warns: growth will only be achieved if AI is used responsibly and in a way that builds trust. Scenarios characterized by high levels of collaboration and trust predict a 15 percent expansion, but pessimistic scenarios predict a decline of as little as 1 percent. Growth therefore depends not only on technology, but also on collaboration between people, regulation, and social acceptance.

The development and use of AI has taken on a tremendous pace: ChatGPT and other generative tools have transformed digital content production in the past two years. They are able to respond in natural language, create images and videos, edit emails, recipes, and songs – and in doing so, they are setting new expectations not only for competitors, but also for customers and content consumers.

It is not surprising that large companies – Microsoft, Amazon, Elon Musk – are announcing their own AI initiatives one after another. Chinese and Russian developments are also mushrooming. AI labeling of products has become a marketing tool – but the euphoria is often tempered by criticism.

Some experts warn that overuse of AI can distort learning processes: it can weaken writing skills, problem-solving skills and memory. So the technology brings not only progress, but also new types of challenges – especially if we rely on it blindly.

One thing is certain: AI is not a panacea, but it is a tool with enormous potential – and like all tools, it is up to us how we use it.