AI at last!
Why managers can be optimistic about the future of AI
Anyone who clicks and flips through daily business headlines is regularly confronted with the ongoing topic of artificial intelligence. Almost at the same moment, it sits right in your neck: the German Angst. We say: Get rid of it!
The economist Prof. Dr. Enzo Weber has it in a podcast Very well put in a nutshell for once. There are reports on artificial intelligence in Germany, as well as on natural disasters. As if there was some kind of power there that would destroy jobs.
Employees in Germany seem to be largely in agreement that they should better keep their hands off AI. Die The main concern is job loss through automation. More fears concern loss of privacy, deep fakes and misuse for manipulation. Let's be honest: Didn't we all have a meme or video in our feed that made us no longer sure whether AI wasn't involved in the creation?
Paradox: While there is panic in the media, many companies are still in the testing phase. The fear of unemployment is often exaggerated, as AI acts more as a support tool and not as a complete substitute. One of the best examples right now is ChatGPT. OpenAI's AI assistant has grown rapidly and developed in a short time from a rudimentary text generator to a versatile AI tool for communication, analysis and creative work. According to data By the end of 2025/beginning of 2026, ChatGPT reached the mark of over 800 million weekly active users. The platform had a peak of 3.9 billion visits in February 2025 and is one of the five most visited websites worldwide, with a user base that reaches one in ten people worldwide.
Companies from all industries are currently trying out AI in small pilot projects to see which applications bring real added value before deploying them on a large scale. In industry, for example, AI systems automatically compare customer inquiries with product catalogs, parts lists and prices and create tailor-made offers in seconds. Telecommunications and energy companies use AI models to identify termination risks at an early stage based on usage and contract data and take targeted countermeasures.
AI is also increasingly being used in research and development: Knowledge systems search protocols, patents and test data and make decades of research knowledge immediately accessible. In customer service, AI assistants answer support requests automatically or recommend suitable products, content or services based on individual preferences. This not only makes processes more efficient, but also makes decisions faster and more data-based. Many large companies link the introduction to training for employees so that teams can use the technology effectively.
Why managers sometimes worry — and why that's okay
In artificial intelligence, managers have long since numerous opportunities identifiedto make your company more profitable, efficient and modern. AI-first leadership is the buzzword of the hour. Anyone who uses the technology boom to their advantage is pushing ahead with their own modernization and remaining competitive. But German Angst is also wreaking havoc on management levels in Germany.
Managers often have a fairly mixed feeling when it comes to AI. Many fear that they will lose touch if competitors use AI faster or smarter, and are worried that the company could lose important market positions as a result. At the same time, the fear of wrong decisions and failed projects ensures that every investment is carefully considered. After all, no one wants to invest millions in an AI project that brings no return or ends up damaging their reputation.
In addition to economic risks, regulation and compliance also play a major role. Executives are considering carefully whether AI applications could violate data protection or ethical standards (see also: EU AI Act) and what liability they bear when AI influences decisions. There is also the question of how the workforce reacts to the new technology: Some employees see AI as a threat, which can unsettle teams or trigger conflicts.
Of course, technical and safety risks should also not be neglected. Data leaks, cyber attacks, or faulty AI systems can quickly become tangible problems, and the responsibility ultimately lies with managers. Finally, they still have to deal with strategic and ethical dilemmas: Using AI fairly, transparently and comprehensibly is not only a technical issue, but also a social and moral issue.
When using AI, managers simultaneously juggle the pressure to innovate, economic risks, regulatory requirements, employee acceptance, safety and ethics. This is a balancing act in which fear is a constant but also helpful companion. Because managers are risk-aware. Your job is to explore risks and opportunities.
Be clever with AI
The most important step in dealing with AI is to take the pressure off the topic. Instead of relying on large, risky transformation projects, small pilot projects prove effective at the start, with which companies can learn, test and identify real added value. At the same time, it is crucial to involve teams early on, communicate transparently and address fears openly. Because acceptance is often more important than technology, and process knowledge and optimization potential usually lie with those who currently carry out the processes.
A clear AI strategy turns uncertainty into direction and fear into the ability to act.
Clear governance structures and rules are just as important so that AI systems can be used in a comprehensible, controllable and legally compliant manner. Anyone who also takes ethical aspects seriously not only strengthens the trust of employees and customers, but also protects their own brand. And finally, a clear AI strategy provides orientation: Uncertainty becomes direction, fear becomes ability to act.
Fear of AI is not a sign of weakness, but a signal of responsibility and vision. The decisive factor is not to suppress them, but to use them as an opportunity to make conscious, intelligent decisions. Because anyone who waits loses touch more quickly than someone who works carefully but actively. AI offers enormous opportunities to build up new skills and actively shape the future. Instead of passively waiting to see what technology does to us, we should act. In other words, it's better to ride the wave than be surprised by it. Here are a few more tips for you:
AI checklist for managers
- Define strategy
Clearly define where AI should create real business value. And not as an experiment, but as part of the corporate strategy. - Start small, learn fast
Focus on pilot projects instead of major initiatives and use early results to make well-founded decisions. - Involve employees
Communicate openly, build skills and take fears seriously. Acceptance is the key to success. - Clarify rules & responsibilities
Ensure clear governance, data protection, compliance, and comprehensible decision-making processes. - Think about ethics & impact
Check not only what is technically possible, but also what is socially, culturally and reputatively important.
Would you like to use AI profitably in your company?
