Tomas Bata University in Zlín

Generative AI and Its Impact on the Work Environment

Are you curious about how generative artificial intelligence will affect the economy and what it means for your future career? Join us for a lecture offering an up-to-date perspective on the development of this technology and its integration into business.

Jakub Bareš, AI and Innovation Expert

1. Forecast of Development and Integration into the Economy

In this section, we will focus on predictions regarding the development of generative AI and its integration into the economy. Topics of discussion will include:

• Technology Development: How will generative AI continue to evolve? What new possibilities will it bring?
• Integration into Economic Processes: How will AI gradually penetrate various industries such as accounting, marketing, manufacturing, and more?
• Impact on the Job Market: What changes can we expect in the job market? How will the nature of certain professions change, and what new roles will emerge?

2. Personal Preparation for the Era of Generative AI

Here, we will focus on practical tips and habits that individuals should develop to prepare for the era of generative AI. This section will cover:

• Skill Development: Which skills will be most important in the future? What technical knowledge and soft skills will be key?
• Adaptability and Lifelong Learning: How important will the ability to constantly learn and adapt be?
• Personal AI Assistants: How can individuals use AI for personal productivity and career development?

3. Corporate Competitiveness and the Shift Toward Strategic Thinking

This section will focus on how generative AI will impact corporate competitiveness and the way companies handle talent:

• Automation and Outsourcing: How will process automation and “out-of-the-box” solutions affect corporate competitiveness?
• New Employment Models: How will work models change? How will companies deal with the changing labor market?
• Focus on Strategic Thinking: As automation increases, the emphasis will shift to strategic decision-making and innovation. What skills will be critical for managers and leaders?

4. Opportunities for Software and New Types of Solutions

The final part of the lecture will explore potential opportunities for software development that can address new challenges at all levels:

• New Tools for Data Analysis and Decision-Making: What tools will be needed to effectively utilize data generated by AI?
• Personalization and Customer Experience: How will AI enable better personalization of products and services?
• Automation of Strategic Thinking: What software tools can support strategic decision-making and planning in companies?

The lecture will conclude with a summary of key points and a discussion on how students can prepare for a future where generative AI plays a central role. There will also be time for questions and discussions regarding students’ specific interests and concerns across various fields.