AI is fast becoming a basic skill, at work and in everyday life. Start using it early and you'll learn faster, work more easily and be able to tell when an answer is wrong.
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This selection is based on recent surveys by Bitkom, Germany's digital industry association, and on labour market data from PwC and the World Economic Forum.
of the skills that count at work today will change by 2030, according to employers worldwide. AI and data skills are growing fastest. How to get started is covered under You are getting started.
World Economic Forum, 2025
more pay is what employers in Germany offer in many sectors when a job requires AI skills. Above all, they're looking for people who apply AI in their own field. Read more under AI is changing your job.
PwC, 2026
of working people use AI at work. But according to employees, only a minority of companies offer training in it. What you may do and how to build your skills is covered under You use AI at work.
Bitkom, 2026
You don't need any prior knowledge or a subscription to get started. You'll learn the most by using AI for something you have to get done anyway.
For almost anything you'd otherwise spend a long time writing, researching or thinking through. Have it explain an official letter in plain words, draft a difficult email, plan a trip or prepare you for an important conversation. The more concrete your reason, the more useful the answer.
For everyday use, the well-known chatbots such as ChatGPT, Gemini, Copilot or Claude are enough. They're constantly being developed, and which one is ahead keeps changing. Pick one and stick with it for a while, because you learn more when you know a tool well.
Not at the start. It can be worth it once you hit the limits of the free version, for example on the number of queries or with large files, or when you use AI every day at work.
Describe your task the way you'd explain it to a new colleague: what you need, what it's for and in what form. If the answer doesn't fit, tell the AI what's missing instead of starting over. Good results usually only come at the second or third attempt.
Passwords, bank details, ID numbers, health data and other people's data. With many free versions, what you type may be used for training unless you switch this off in the settings.
With AI, you can get to grips with a new topic in minutes, whether it's a tax assessment, a tenancy agreement or a technical term at work. Whether the knowledge sticks depends on how you use it.
First, have the topic explained in plain words and keep asking until you can put it in your own words. Then ask the AI to quiz you and explain what you got wrong.
Often not. In a large study, pupils who had practised with a standard AI chatbot did worse than the comparison group in the exam without AI. Those who practised with an AI that only gave hints didn't have this disadvantage. So ask the AI for hints and questions instead of the finished solution.
Yes, this is one of its real strengths. Let the AI play your manager, a client or a panel and practise your salary negotiation, your presentation or your answers to difficult questions as often as you like. What to watch out for in its feedback is covered under Presence.
AI answers always sound convincing, even when they're wrong. A few simple steps help you tell what you can rely on.
A language model calculates which word is likely to come next. It doesn't know whether something is true, so a wrong answer sounds just as confident as a right one. New models make such mistakes too, especially with numbers, dates, people and specialist questions.
Not without checking. Tests have shown again and again that AI search tools attribute sources wrongly or make up links. So open the source yourself and read whether it really says what the AI claims.
It summarises what it can easily find online. So what comes first is often what's most visible, which isn't always the most expert, and sometimes it's advertising. For law, taxes, money and health, it's worth looking at the websites of public authorities, consumer advice centres and experts.
Ask the AI how up to date its knowledge is and whether it searched the web for the answer. Laws, prices and deadlines change all the time, and a model only knows what was in its training data or its latest search.
At work, AI saves the most time with texts, research, summaries and analyses. What matters is which tools and which data are allowed.
That's up to your employer. If there are rules, they apply. If there aren't any, ask before you enter company data, and suggest drawing some up together.
Shadow AI means using tools your employer hasn't provided, such as your private account. Almost one in three people who use AI at work do this (German Economic Institute, 2026). It becomes a problem when customer data, staff data or trade secrets end up in a tool that nobody in the company has checked.
Other people's names, contact details and health data, confidential company information and anything covered by a duty of confidentiality. Without a data processing agreement with the provider, your company usually isn't allowed to put personal data into such a tool.
Under the EU AI Act, companies that use AI have to take measures to support their staff's AI literacy. Since the end of July 2026, companies no longer have to ensure a specific level of AI literacy for each employee. It's still worth asking for training, because many companies don't offer any yet.
For most people, AI changes individual tasks, not the whole profession. If you get involved early, you'll help decide which ones.
Usually not as a whole. What the labour market shows above all is a shift in tasks: routine work gets done faster, while judgement, relationships and responsibility become more important.
Yes. In many sectors, employers in Germany pay considerably more when a job requires AI skills. Above all, they're looking for people who apply AI in their own field: in 2025, for every job ad in AI development, there were about seven for roles that apply AI (PwC, 2026).
Look at which of your tasks are routine and which need judgement, relationships or responsibility. With routine work, AI takes tasks off your hands, and with the rest it helps you be faster and better prepared. AI also creates new tasks, because someone has to plan it, guide it and check it.
If you use AI in your own business, you take on obligations around labelling, rights and data protection.
The transparency obligations of the EU AI Act have applied since 2 August 2026, and they weren't postponed. If you publish realistic images, videos or audio of real people or places, you have to disclose that they were generated artificially. If you use a chatbot, people have to be told that they're talking to an AI.
Not automatically. In February 2026, Munich Local Court (Amtsgericht München) ruled that a logo created purely with AI isn't protected by copyright, even with very detailed instructions. Your own creative contribution has to clearly outweigh the AI's. Otherwise anyone can use your logo.
If you enter data about customers or staff into an AI tool, you usually need a data processing agreement with the provider. The tool also has to be listed in your privacy policy.
Deepfakes mostly target women, and the law is changing a lot right now.
Deepfakes are images, videos or voices that are created or altered with AI and look or sound real. Most of them are sexualised fakes, and almost all of these show women.
Your personality rights and the right to your own image can already apply today. But there's no specific criminal offence yet. On 7 October 2026, the federal cabinet approved a law against digital violence under which even creating sexualised deepfakes would become a criminal offence. It now goes to parliament (Bundestag and Bundesrat) and hasn't come into force yet.
Fraudsters use AI to imitate the voice of a family member and fake an emergency on the phone. A few recordings are enough, for example from social media. You can barely tell from the sound that it's fake.
HateAid advises people affected by digital violence and may cover legal costs. Save evidence with the date and link before the content is deleted, and report it to the police.
This is general guidance, not legal advice. Legal information applies to Germany and the EU, as of October 2026. We're working on making this knowledge available in other countries too.
Getting started, Learning, Checking answers, At work, Your job is changing, Your own business, Deepfakes
AI makes knowledge easier to access, whether it's your tax assessment, a prenuptial agreement or a salary negotiation. That's why every She Owns knowledge page has a section on where AI can help you with that exact topic and where it's been shown to get things wrong.
The idea behind it is simple. With AI, you learn faster from knowledge that experts have curated and checked. And once you've practised checking answers, you'll use AI more safely in every other area too.
In minutes, AI writes texts, summarises contracts, runs through scenarios and does research that used to take days. That changes which skills count at work and how quickly a company can be built.
This is general guidance, not legal advice. Legal information applies to Germany and the EU, as of October 2026. We're working on making this knowledge available in other countries too.
To this day, I still have to push myself. Every few weeks I set aside one or two hours just for AI. And every time, I come away with new ideas that help me scale my companies much, much faster.
My trick: I ask the AI itself what's new. It keeps me up to date on itself.
30 October 2027, Infinity Munich. You'll also hear there how our knowledge platform will develop.