Future of Work: How AI Works Change

The AI revolution fundamentally changes the working world. While some professions will disappear, there will be completely new ones.

But most jobs will transform – they will not be replaced, but extended by AI.

This article gives an outlook on the working world of tomorrow and shows how you can prepare for it today.

The Great Transformation: Neither Utopia nor Dystopie

The future of work: How AI changes professional images.

If Future of Work: How AI Works Change is on your roadmap, Cost Calculator: AI Development und Discover solutions outline services and next steps.

The discussion about AI and jobs often fluctuates between two extremes. The fear of mass unemployment and the hope of a work-free paradise.

The reality will probably be in between. Studies show that AI will mainly automate repetitive tasks while creative, social and strategic activities continue to require people.

"KI won't replace your job, but someone who uses AI could do it."

New career pictures by KI

The AI revolution creates completely new professions that did not exist a few years ago:

EU

Prompt Engineer

Short: Specialist in the formulation of effective AI instructions.

Specialist in the formulation of effective AI instructions. Improves interaction between humans and AI.

EU

AI Ethics Officer

Short: Responsible for the ethical use of AI in the company.

Responsible for the ethical use of AI in the company. Develops guidelines and monitors their compliance.

EU

AI trainer

Trains and improves AI models through feedback and data processing. Bridge between man and machine.

EU

Human-AI Collaboration Specialist

Designs best teamwork between human teams and AI systems.

Professions in Change

Short: Most of the existing professions will not disappear, but change.

Most of the existing professions will not disappear, but change. AI becomes the tool that makes work more efficient:

TRANSFORMATION

Marketing Manager

Uses AI for content creation, data review and personalization. Focus is on strategy and creativity.

TRANSFORMATION

Software developer

Short: AI assistants take routine coding.

AI assistants take routine coding. Developers focus on architecture and complex problem solving.

TRANSFORMATION

Customer service

Short: Chatbots accept standard requests.

Chatbots accept standard requests. People take care of complex cases and emotional situations.

TRANSFORMATION

Financial analyst

Short: KI takes over data collection and pattern recognition.

KI takes over data collection and pattern recognition. Analysts focus on interpretation and strategic recommendations.

professions under pressure

Some activities are more threatened by automation than others – especially those with a high proportion of repetitive, rule-based tasks:

DIRECTORATE

Data entry

Manual data entry is more often replaced by automatic collection and processing.

DIRECTORATE

Simple translation

Machine translation achieves high quality for standard texts. Expert translators remain in demand.

The skills of the future

Regardless of your profession, there are skills that are especially valuable in the AI era:

Future-proof skills

• KI Competence: Understanding how AI works and how to effectively use it

References and further reading

The following separate references complement the topics in this article:

• Bitkom – German digital industry association.
• German Federal Office for Information Security (BSI).
• European Commission – Digital strategy.
• MDN Web Docs (Mozilla)
• W3C – World Wide Web Consortium.

> "ERP programmes rarely fail on software selection; they fail on unclear process ownership."

— Björn Groenewold, Managing Director, Groenewold IT Solutions

Frequently Asked Questions (FAQ)

What is this article about: “Future of Work: How AI Works Change”?

Here we cover Future of Work. How AI Works Change — focused on architecture, process, and business outcomes.

In short: The future of work: How AI changes professional images. Which jobs are created, which disappear and how you can prepare yourself.

Who benefits most from the content described here?

Typical readers are business and IT leaders in AI training who want to secure quality, security, and ease of upkeep over the long term.

How does this topic fit into an IT or digital strategy?

In a digital strategy, prioritize stable core processes first, then extensions. See also professional software development and consulting.

For multi-system landscapes, IT consulting and architecture helps align vendors and internal teams.

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