What generative AI really is (without the hype)
Generative AI sounds complex, but in practice, it is a smart assistant. It is software that can create new content based on your instructions, ranging from texts and summaries to analyses and ideas. Think of tools like ChatGPT, Copilot, or Gemini. They do not replace people, but they accelerate the process from idea to first draft. Important to remember: the quality of the output depends heavily on your input and your judgment.
What does the research say about the impact?
The research shows that generative AI provides clear benefits. Especially at work, users experience efficiency gains and fewer errors. Frequently cited advantages include:
- Working more efficiently
- Understanding information faster
- Better access to regulations or government information
- Support in decision-making
At the same time, there are risks. One-third of users received incorrect suggestions. In some cases, this led to misinterpretations or wrong decisions. AI is powerful, but not infallible.
The real difference: usage versus skill
The fact that 65% use AI does not mean that 65% use it effectively. There is a clear difference between incidental use and strategic application. Especially younger and higher-educated users derive more value from AI. This is not just due to access, but to skills such as better prompt engineering and critical verification of output. And understanding when AI is suitable and when it is not; here is a handy overview:
Use AI for:
✅ First drafts and structure
✅ Analysis and summaries
✅ Accelerating repetitive tasks
Do not use it for:
❌ Confidential information
❌ Publication without verification
❌ Specialist advice without expertise
Those who develop these skills increase their lead
Generative AI is rapidly evolving into a standard tool within organizations. Just as email, online marketing, and data analysis were once new, AI is becoming increasingly normal. The difference in the coming years will not lie in access to technology, but in the extent to which people can work with it. And that is trainable.
Coming soon, our next blog: Three ways you can start using AI strategically today. If you want to know more about AI and how to use it in your organization, please contact us.
