Lukas Huber
KI-Berater für Schweizer KMU
How Swiss SMEs can use ChatGPT prompts effectively: verified usage data, practical ChatGPT examples, and a guide to avoiding common pitfalls.
Key Takeaways
- ▸ChatGPT erreichte bis Juli 2025 rund 10 % der erwachsenen Weltbevölkerung und gilt seit November 2022 als am schnellsten wachsende Consumer-App der Geschichte.
- ▸Nicht-arbeitsbezogene Nachrichten stiegen von 53 % auf über 70 % aller Nutzung – ChatGPT ist Alltagswerkzeug, auch in Schweizer Büros.
- ▸Drei Themen – Practical Guidance, Seeking Information und Writing – machen zusammen fast 80 % aller ChatGPT-Konversationen aus.
- ▸In vielen KMU fehlt Struktur: Einzelne Mitarbeitende nutzen ChatGPT für E-Mails, doch unbeständige Qualität und Datenschutz-Unsicherheit bleiben ungelöst.
- ▸Der Praxis-Guide liefert belegte Nutzungsdaten und konkrete Prompt-Muster, trennt Belegbares von Unbelegtem und zeigt sofort funktionierende ChatGPT-Beispiele für KMU.
Frequently Asked Questions
Why are ChatGPT prompts relevant for Swiss SMEs in 2025?+
ChatGPT prompts are relevant for Swiss SMEs in 2025 because the tool has grown rapidly and usage is increasingly shifting into everyday life. Since its launch in November 2022, ChatGPT has been considered the \
What usage data proves the spread of ChatGPT?+
The spread of ChatGPT is supported by several data points. By July 2025, about 10% of the adult world population used ChatGPT. The share of non-work-related messages rose from 53% to over 70% of all usage. Three topics – \
What are the most common use cases for ChatGPT?+
The most common use cases for ChatGPT can be summarized into three categories: \
How can Swiss SMEs use ChatGPT prompts in a structured way?+
Swiss SMEs should use ChatGPT prompts in a structured way by developing clear guidelines. This includes defining use cases, selecting suitable prompt patterns from professional literature, and training employees. A central prompt library can ensure quality and increase efficiency. In addition, data protection requirements must be observed, especially with sensitive data. A clear separation between verifiable and non-verifiable statements helps set realistic expectations. This way, SMEs avoid inconsistent quality and use ChatGPT's potential in a targeted manner.
What is the difference between verifiable and non-verifiable statements about ChatGPT?+
The article emphasizes the clear separation between verifiable and non-verifiable statements about ChatGPT. Verifiable are, for example, usage data: By July 2025, ChatGPT reached about 10% of the adult world population, and non-work-related messages grew from 53% to over 70%. The three main topics \
What typical pitfalls should Swiss SMEs avoid with ChatGPT?+
Swiss SMEs should avoid typical pitfalls with ChatGPT. These include unstructured use by individual employees, which leads to inconsistent quality. Equally problematic is uncertainty about data protection when sensitive data is entered into ChatGPT. Another pitfall is wasting potential through missing prompt strategies. In addition, SMEs should not blindly trust non-verifiable promises but rely on verifiable data and proven prompt patterns. Clear guidelines and training help to avoid these pitfalls and use ChatGPT effectively.
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