AI Economy 2400-ZEWW972
The digital revolution transforms not only technologies but also the foundations of the contemporary economy. The course provides an accessible introduction to the mechanisms of this transformation: from datafication and platformization to artificial intelligence, digital business models, and shifting value chains. Students will explore both theoretical frameworks and the latest empirical data from DELab UW research and global literature.
Prof. Katarzyna Śledziewska, director of DELab UW, has been researching the impact of digital innovations on the economy for over a decade, providing participants with valuable insights and practical experiences.
Course objectives:
Understanding the fundamentals of the digital economy and its distinctiveness from the industrial economy.
Mastering key concepts: datafication, AI-first, platformization, digital business models.
Analyzing the impact of new technologies on productivity, labor markets, globalization, and consumer behavior.
Developing skills to critically assess public policies and corporate strategies in the digital age.
Course outline:
Technological revolution 4.0
Foundational and intensifying technologies
Combinatorial innovations
Cloud computing, IoT, AI, and robotics as pillars of digital transformation
What is the digital economy?
From digitalization to datafication
Data as a new factor of production
Challenges in measuring the digital economy
How markets change?
Digital platforms: definitions, mechanisms, network effects
New business models and monopolization threats
Regulatory challenges of platforms
How production changes?
Industry 4.0: technologies, processes, organization
Personalization, servitization, and platformization in production
Logistics and distribution 4.0
How work changes?
Automation and digital work environments
Gig economy, app-based employment
Future scenarios for work and digital competencies
How consumption changes?
New consumption subjects and information goods
Personalization, platformization, trust, and reputation
Collaborative consumption and smart cities
How the state changes?
E-government and data-driven governance
The state’s role as regulator and innovator
Digital sovereignty and AI policies
How globalization changes?
E-commerce and new trade barriers
Digital fragmentation and new technological alliances
Geopolitics of data and digital regionalism
The course draws from current academic research and practical experiences, including findings from projects such as AI4Retail (retail sector transformation) and studies on digitalization in hospitality and gastronomy, as well as methodologies from the EDIH project on corporate digital maturity mapping. Prof. Śledziewska, who directs DELab UW (Digital Economy Lab), an interdisciplinary research center, ensures students gain both theoretical knowledge and practical insights into the real challenges of digital technology implementation in the economy, politics, and business.
Type of course
Course coordinators
Learning outcomes
Knowledge
Knows key concepts and mechanisms of economic digital transformation,
Understands the role of data, AI, and new technologies in economic value creation and competitive advantage building.
Skills
Capable of analyzing and interpreting reports, statistical data, and indicators on digitalization processes,
Able to assess the impact of digital technologies on markets, business models, and enterprise functioning.
Social competencies
Effectively collaborates in interdisciplinary teams on research projects and case studies,
Understands ethical, social, and economic challenges related to digital technology development and applications.
Assessment criteria
Class participation: 30%
Group preparation of a case study (topics selected by students): 30%
Class discussion based on prepared case study: 40%
Method of completion: Oral
Bibliography
Mandatory:
Śledziewska, K., Włoch, R., "Gospodarka cyfrowa. Jak nowe technologie zmieniają świat", WUW, 2020. Link
Podcast: Spotify or YouTube
Supplementary:
Śledziewska, K., Włoch, R., "The Economics of Digital Transformation", Routledge, 2021
OECD, Digital Economy Outlook 2023
McKinsey, The Economic Potential of Generative AI, 2023
WEF, Future of Jobs Report 2024
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: