The Economics of Artificial Intelligence for Professionals

Name: The Economics of Artificial Intelligence for Professionals
Rating: 4.9 (19 reviews)

Explore AI's impact on productivity, growth, business models, labor markets, competition, policy-making and governance

Highest Rated

Created byJörg Marinko

Last updated 4/2026

English

English [Auto],

What you'll learn

Understand the economic drivers of AI adaption and how it transforms productivity, economic growth and business models
Identify key trends in labor markets and the new demand for AI-specific skills, helping you anticipate shifts in job dynamics
Analyze AI’s role in markets and competition, understanding how monopolies and data as an asset shape efficiency and the structure of markets
Explore considerations around AI about the challenges and responsibilities surrounding policy-making, data privacy, transparency, and AI regulation
Identify adoption constraints, for example, among countries in regards of their development trajectory and how costs and energy supply limit adaption speed

Course content

7 sections • 23 lectures • 2h 11m total length

What is this course about?3:14
Explore how artificial intelligence reshapes economies, productivity, and labor markets, and analyze its impact on business models, markets, and policy, including data as an asset and regulatory considerations.
Personal note before take-off ✈️0:35
Artificial Intelligence (AI) at a glance6:38
Define artificial intelligence and its core techniques, including machine learning, deep learning, natural language processing, and computer vision, and show how these enable perception, decision making, and language translation.
Changing economic fundamentals in the context of AI6:12
Explore how AI reshapes productivity growth, labor markets, and capital through R&D investment, cost efficiency, and scalability, with implications for trade, income distribution, data as an asset, and regulation.
❓ Quick check

General-Purpose Technologies and their economic impact6:05
Trace how general purpose technologies from steam to AI reshape economies through productivity gains, urbanization, and new industries, while driving labor shifts and data-driven platforms.
How can AI as a General-Purpose Technology sustain productivity?3:16
AI, as a general purpose technology, drives long-term productivity across industries, continually improves, and spurs innovation by complementing technologies like IoT and robotics, enabling broad productivity gains.
Impact on business efficiency and decision-making7:06
ai automates routine tasks across sectors, freeing human resources for innovation and decision-making, while predictive analytics drives faster, data-driven decisions and optimized resource allocation.
Principal-Agent Model in AI and decision-making5:29
Examine the principal-agent model in AI decision-making, addressing information asymmetry, misalignment of objectives, monitoring, explainability, and bias across finance, healthcare, and marketing.
How AI productivity increases translate into economic growth9:18
Explore how AI drives macroeconomic growth by increasing total factor productivity and output per worker through an enhanced aggregate production function, capital deepening, and higher labor productivity.
Productivity Paradox & measuring AI’s impact on economic growth5:35
Explore the productivity paradox and AI-driven gains amid time lags and attribution challenges. Learn how measurement limits, service industry dynamics, and non-market impacts shape AI's economic impact.
❓ Quick check

Impact of AI on employment & job displacement9:11
Explore how AI boosts productivity while driving job polarization, displacement, and technological unemployment. Examine the trade-offs between macroeconomic growth, workforce disruption, upskilling, policy, and fair labor practices.
Labor market in transition: Workforce re-skilling & Human-AI collaboration7:51
Explore how upskilling, reskilling, education policy, and public-private partnerships ease AI-driven labor transitions, while humans collaborate with AI to create new roles and augment work.
❓ Quick check

AI and market structure9:17
Explore how AI concentrates markets by leveraging vast data, network effects, and economies of scale, enabling giants like Google and Amazon to entrench dominance while raising barriers to entry.
Economics of Data in the AI Era7:05
Explore how data fuels the AI economy, enabling models to learn and generate insights, while shaping ownership, privacy, competition, and regulatory changes in data-centric markets.
Additional lecture: Economics of Data in the AI Era - DIKW pyramid1:23
AI and (Financial) Market Efficiency8:32
AI boosts market efficiency by processing vast data from markets, news, and social media to improve forecasting, with applications in algorithmic trading and robo-advisors and risks like volatility.
❓ Quick check

AI and policy-making - Monetary Policy and Fiscal Policy6:24
Explore how ai enhances monetary policy and fiscal policy through real-time data analysis, inflation monitoring, and automated policy simulations for data-driven decisions.
Regulation and Governance of AI6:57
Navigate regulation and governance of AI by balancing innovation with ethical standards, transparency, and global coordination, addressing bias, safety, data privacy, and accountability across sectors.
❓ Quick check

AI adaption in advanced, emerging and developing economies4:09
Compare AI adoption across advanced, emerging, and developing economies, highlighting infrastructure, labor markets, data, and capabilities, and note how advanced economies leverage AI to drive growth in gdp.
Costs and limitations of training an AI model6:44
Explore the costs and limitations of training AI models, from computing resources and energy use to data quality, licensing, and regulatory compliance, and emerging challenges like model drift and robustness.
Energy supply as a critical variable5:31
Energy supply underpins AI growth, cost, and scalability by powering data centers and edge computing, shaping reliability, sustainability, and global competitiveness across sectors.
❓ Quick check

Requirements

Understanding of basic economic concepts comes in handy
Awareness of current trends in AI is beneficial

Description

This course designed to demystify how artificial intelligence is reshaping economies, transforming industries, and impacting labor markets. AI is no longer just a futuristic concept. AI is one of the most powerful drivers of change in today’s economy, and understanding its economic impact is essential for business leaders, policymakers, entrepreneurs, and anyone looking to stay ahead in a rapidly evolving world.

Why should you sign up for this course?

AI is much more than a technological innovation; it’s an economic game-changer that affects productivity, job markets, investment strategies, and global trade dynamics. Knowing how AI influences these areas will give you a competitive edge, whether you're an investor seeking profitable sectors, a business decision-maker aiming to leverage AI for growth, or preparing for the future of work.

What will you learn?

Understand the economic drivers of AI adoption, its transformation of productivity, economic growth, and business models, its impact on labor markets and demand for AI-specific skills, its role in shaping markets and competition, and the political, ethical, and regulatory considerations that influence its adoption, particularly in the context of global development disparities and resource constraints.

How will you benefit?

To the extend you are affected, understanding the economics of AI is not just about recognizing the financial benefits but about comprehending the profound shifts in how value is created, distributed, and protected in this new, technology-driven era. By the end of this course, you'll be prepared to make informed, strategic decisions about AI’s role in business and the economy as a whole —decisions that are critical for navigating the future of technology-driven growth.

Who this course is for:

Everbody with an interest in economics, AI, or the future of work

The Economics of Artificial Intelligence for Professionals

What you'll learn

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Course content

Introduction and overview4 lectures • 17min

AI and how its productivity increases translate into growth6 lectures • 37min

AI and Labor Markets implications2 lectures • 17min

AI’s Impact on Markets and Competition4 lectures • 26min

AI and Economic Policy, Regulation and Governance2 lectures • 13min

Miscellaneous: Country-specifics and limitations for adaption3 lectures • 16min

Outlook and conclusive remarks2 lectures • 5min

Requirements

Description

Who this course is for: