Economic Fundamentals Of Ai

Posted By: ELK1nG

Economic Fundamentals Of Ai
Published 12/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 474.72 MB | Duration: 2h 9m

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

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 the adoption

Requirements

Basic understanding of economic concepts comes in handy

Awareness of current trends in AI are 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.

Overview

Section 1: Introduction

Lecture 1 What is this course about?

Lecture 2 Personal note before take-off ✈️

Lecture 3 Artificial Intelligence (AI) at a glance

Lecture 4 Changing economic fundamentals in the context of AI

Section 2: AI, Productivity increases and how it translates into growth

Lecture 5 General-Purpose Technologies and their economic impact

Lecture 6 How can AI as a General-Purpose Technology sustain productivity?

Lecture 7 Impact on business efficiency and decision-making

Lecture 8 Principal-Agent Model in AI and decision-making

Lecture 9 How AI productivity increases translate into economic growth

Lecture 10 Productivity Paradox & measuring AI’s impact on economic growth

Section 3: AI and Labor Markets implications

Lecture 11 Impact of AI on employment & job displacement

Lecture 12 Labor market in transition: Workforce re-skilling & Human-AI collaboration

Section 4: AI’s Impact on Markets and Competition

Lecture 13 AI and market structure

Lecture 14 Economics of Data in the AI Era

Lecture 15 AI and (Financial) Market Efficiency

Section 5: AI and Economic Policy, Regulation and Governance

Lecture 16 AI and policy-making - Monetary Policy and Fiscal Policy

Lecture 17 Regulation and Governance of AI

Section 6: Miscellaneous: Country-specifics and limitations for adaption

Lecture 18 AI adaption in advanced, emerging and developing economies

Lecture 19 Costs and limitations of training an AI model

Lecture 20 Energy supply as a critical variable

Section 7: Outlook and conclusive remarks

Lecture 21 Future of the AI economy

Lecture 22 THANK YOU!!!

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