IPO: Sales outside the AI bubble determines success

Anthropic’s IPO has demonstrated the importance of creating a real customer need outside the AI bubble. The challenge is to develop solutions that go beyond the current fascination for AI and find application in the real world. Experts warn against risks of circulation businesses, where the focus is on short-term sales rather than sustainable business models. Such business models are often difficult to scale and carry a high risk if they are not based on real customer needs. The article stresses that AI alone is not enough to ensure long-term success. Instead, companies must develop solutions that are relevant in different industries and application fields. One example of this is the use of AI in logistics or healthcare, where the technology can solve concrete problems. AI technology itself is a tool that must be used to generate real value. Another example is the use of AI in education, where it can be used, for example, to personalize learning processes. The AI bubble describes the trend in which AI technologies are overvalued without clear use cases and business models. The warning of such risks is particularly relevant because many start-ups and companies in the AI industry have difficulty establishing their solutions in practice. Another aspect is the use of AI in production, where it can be used, for example, to optimize processes and increase efficiency. The AI bubble can also occur in communications and marketing, where AI technologies are often overvalued without clear benefits for customers and businesses. The article emphasizes that the AI bubble is a risk that companies and investors should be aware of to ensure long-term success. The challenge is to develop solutions that go beyond the current fascination for AI and find application in the real world. Another aspect is the use of AI in research and development, where it can be used, for example, to accelerate experiments and analyze data. The AI bubble can also occur in medicine, where AI technologies are often overstated without clear benefits for patients and doctors. The warning of such risks is particularly relevant because many start-ups and companies in the AI industry have difficulty establishing their solutions in practice. Another aspect is the use of AI in administration and public services, where it can be used, for example, to automate processes and increase efficiency. The AI bubble can also occur in politics, where AI technologies are often overvalued without clear benefits for citizens and society. The article emphasizes that the AI bubble is a risk that companies and investors should be aware of to ensure long-term success.