Artificial Intelligence (AI)
Economic Development
Increased Productivity
Innovation and Entrepreneurship
Industry Transformation
Job Creation and Workforce Development
Enhanced Decision Making and Risk Management
Global Competitiveness
Inclusive Growth and Sustainable Development
Designing IA for AI - Information Architecture Conference 2024
Artificial Intelligence (AI) and Economic Development.pptx
1. Artificial Intelligence (AI) and Economic Development
Dr. A. Prabaharan
Professor & Research Director,
Public Action
www.indopraba.blogspot.com
2. AI & Economic Development
AI has the potential to
significantly impact economic
development by driving
productivity gains, fostering
innovation, and creating new
opportunities for growth
across various sectors.
Here are some ways in which
AI can contribute to
economic development
www.indopraba.blogspot.com
3. Increased Productivity
AI technologies can automate routine
tasks, optimize processes, and augment
human capabilities, leading to increased
productivity in the workforce.
By streamlining operations and reducing
labor-intensive activities, AI can free up
resources, time, and talent for higher-value
tasks, thereby boosting economic
efficiency and competitiveness.
www.indopraba.blogspot.com
4. Innovation and Entrepreneurship
AI fuels innovation by enabling new
applications, business models, and market
opportunities.
AI-driven technologies such as machine
learning, natural language processing, and
computer vision empower entrepreneurs and
startups to develop novel products, services,
and solutions that address unmet needs and
create value in the marketplace.
www.indopraba.blogspot.com
5. Industry Transformation
AI is transforming traditional industries and
catalyzing digital transformation initiatives
across sectors such as healthcare, finance,
manufacturing, agriculture, and retail.
AI-driven innovations such as personalized
medicine, autonomous vehicles, smart
manufacturing, and e-commerce
recommendation engines are reshaping
industries, unlocking new growth
opportunities, and driving economic
diversification
www.indopraba.blogspot.com
6. Job Creation and Workforce Development
While AI automation may disrupt certain jobs
and industries, it also creates new job
opportunities and demands for skilled workers in
AI-related fields such as data science, machine
learning engineering, and AI ethics.
Investing in workforce development programs,
reskilling initiatives, and lifelong learning
opportunities can help prepare individuals for the
jobs of the future and ensure that they can
benefit from AI-driven economic growth.
www.indopraba.blogspot.com
7. Enhanced Decision-Making and
Risk Management
AI technologies enable data-driven decision-
making and predictive analytics, empowering
businesses and policymakers to make more
informed and timely decisions.
AI-driven insights can improve resource allocation,
risk management, and strategic planning, leading
to better outcomes and greater resilience in the
face of economic uncertainty and market volatility.
www.indopraba.blogspot.com
8. Global Competitiveness
AI is increasingly becoming a driver of global
competitiveness, with countries and regions
investing in AI research, talent development,
and infrastructure to gain a competitive edge
in the global AI race.
By harnessing AI technologies effectively,
countries can strengthen their economic
competitiveness, attract investment, and foster
innovation ecosystems that drive sustained
economic growth and prosperity.
www.indopraba.blogspot.com
9. Inclusive Growth and Sustainable Development
AI has the potential to promote inclusive
growth and sustainable development by
addressing societal challenges, reducing
inequalities, and improving access to
essential services such as healthcare,
education, and financial services.
By leveraging AI technologies to address
pressing social and environmental issues,
countries can build more resilient, equitable,
and sustainable economies that benefit all
segments of society.
www.indopraba.blogspot.com
10. End Note
While AI holds promise for driving economic
development, it also poses challenges related to
job displacement, digital divide, ethical
considerations, and regulatory complexities.
Addressing these challenges requires collaborative
efforts from policymakers, businesses, academia,
and civil society to ensure that AI technologies are
deployed responsibly and inclusively, fostering
economic development that is sustainable,
equitable, and beneficial for all.