Research Report: Preparing for the
Future AI Era - Economic, Industrial, and
Social Changes
Analysis and Policy Measures Researcher Ping AI Yang
Prior Appointment
Hong - Yong Ho
1. Introduction.
AI technology will have a profound impact on current and future economies,
industries, and societies AI
technology will have a profound impact on current and future economies, industries, and
societies.
To this end, this study aims to analyze the major changes brought about by AI and
to present policy directions and implementation plans to address these
changes.The development of AI is not only a technological advancement, but
also a national economic and social structure structure of root book target
na change change to pull ki 起 ko su in shi yo u . This will require
policy responses to maximize the use of AI technology in each sector and to solve
potential problems.
This report analyzes the impact of key changes in AI on the economy, industry, and
society, and
The following section presents specific policy measures needed in each of these areas.
2. Research Objectives
The main objectives of this study are as follows
Analyze the major changes AI will bring to the economy,
industry, and society, and propose policy responsesPolicy direction setting and implementation to prepare for the future AI era
Contributed to the development of the plan
3. Main Research Fields
3.1. Research and Development (R&D)
The development of AI technology requires continuous research and development (R&D)
investment. This can increase efficiency in the utilization and development of A I
technologies, and can foster new technological innovations.
• Promote research and innovation in AI fundamental technologies:
government and business collaborate on core AI technologiesThe 🅓minute🅓 will be selected, thereby promoting innovative technological
development🅓.
• Expanding application areas of AI technology: medical, agriculture,
manufacturing, etc.
It is important to strengthen research on the application of AI technology
in the field🅓 and develop practical solutions.
3.2. usual
To secure and utilize AI technology nationally, AI sovereignty is
important is essential to ensure AI sovereignty is to secure and
utilize AI technology on a national basis. to develop a global trade policy.
This requires the development of international trade norms and policies.
• Development of AI-related international norms and agreements:
Countries will develop international norms related to AI technology,
thereby promoting the diffusion and utilization of AI technology.
• Strengthening AI-related trade policies: develop trade policies to
maintain competitiveness and ensure leadership in the AI industry, thereby
providing internationally competitive AI products and services
Thefollowingisalistofthemost commonproblemswiththe
3.3. industry
AI technology can be integrated into existing industries to improve productivity and
create new industries. We will explore ways to introduce AI into existing industries
and create new industries
Thefollowingisalistofthemost commonproblemswiththe"C" inthe"C" column.
• Promoting AI-integrated industries: Utilizing AI technology in existing
industries to increase efficiency and
Creating new services and products.
Examples include the construction of smart factories using AI in the
manufacturing industry and the application of automated driving
technology in the logistics sector.
• Creation of new industries: Discover new AI-based industries and
provide policy supportforthem. to create new industries based on
AI. strengthen and strengthen policy support for these
industries tocreatenewindustriesbasedonAI. and strengthen policy
supportforthispurpose. strengthenpolicy supportfor to be
strengthened The company will strengthen its business in the following
areas. Examples include AI-based robotics, big data analysis, and self-driving cars.3.4. business
It is important to help companies that use AI to be globally competitive.
• Cultivating AI-specialized companies: startups and SMEs using AI technology
We nurture companies and help them become competitive in the global
marketplace.
• Building an innovative AI-based enterprise model: enabling companies
to leverage AI to enhance their competitiveness through increased
productivity, reduced costs, and customized customer services.3.5. Job Openings
The widespread adoption of AI will bring about major changes in the structure of
employment; the introduction of AI will
Some jobs may disappear, but new jobs will too. We need to be prepared for this.
• Enhanced education and retraining on AI technology: Strengthen
educational programs to develop human resources with an
understanding of AI technology and the ability to utilize it.
This will create suitable jobs in the existing labor market and develop the
capacity to respond to changes in AI technology.
• Strengthen social safety nets: strengthen social safety nets for the classes
that may be affected by AI and prepare policies to respond to changes in
employment
4. Core Agenda and Policy Proposals
4.1. data application
A vast amount of data is essential for the development of AI technology.
We will develop a data utilization policy for this purpose.
• Open data policy: promotes data openness and sharing, allowing
companies and research institutions to freely use the data they need to
develop AI technologies.
• Ensuring data protection and privacy: in the use of data
The issue of personal information protection and security is important,
so legal standards and systems are established for this purpose 🅓.
4.2. infrastructure building
To efficiently utilize AI technology, a related infrastructure is needed.
• Building AI technology infrastructure: ultra-high-speed Internet network,
cloud computingSupporting AI technologies such as cloud computing and data centers
We provide an environment where companies can utilize AI technology by
building an infrastructure that can assist them.
4.3. Human Resource Development
The diffusion of AI technology requires the development of human resources to support
it.• Expand AI-related educational programs: AI-related majors and research,
particularly at universities and research institutions
Enhances the program and provides education that can be immediately
applied in practice.
• AI technology training and retraining: AI technology for existing workers
The program will provide training and refresher programs on the
following topics to help you adapt to the changing job market
4.4. development of a legal system
Establish legal standards to ensure that AI-related technologies and services are
used in a socially safe and fair manner🅓.
• Enactment of AI-related laws: As AI technology develops, existing laws
will be amended or new laws will be enacted to ensure the ethical use of
AI and
We will clarify our social responsibility.
• Formulation of AI Code of Ethics: We will formulate a code that takes into
account ethical aspects in the use of AI technology to ensure fair and safe
utilization of AI.
4.5. Strengthening the social safety net
Policies are needed to strengthen the economicand social safety net in
preparation for changes in employment due to AI.
• Building a social safety net: changing employment through AI
Develop proactive support policies for affected segments of the
population and strengthen social safety nets.
• Basic income and retraining support: strengthen the basic income
system to accommodate changes in work and provide opportunities to
prepare for new occupations through ongoing retraining.
5. Conclusion.
AI technology is expected to bring profound changes to the economy, industry, and
society, andIn order to prepare for this, specific policies should be developed for each sector. To
prepare for this, specific policies should be developed for each sector and
It is important to prepare feasible measures to In this study, we presented the main
research areas for preparing for the development of AI technology and discussed
specific policy directions for each of these areas. Cooperation and proactive
responses from government, business, academia, and all sectors of society are
needed to effectively prepare for the changes of the AI era.References
Benda, N. C., Desai, P. M., Reza, Z., Zheng, A., Kumar, S., Harkins, S., Hermann, A., Zhang, Y., Joly, R., Kim, J.,
Pathak, J., & Turchioe, M. R. (2024). Patient perspectives on
AI for mental health care: a cross-sectional survey study. JMIR mental , 11, e58462.
Garcia-Saiso, S., Marti, M., Pesce, K., Luciani, S., Mujica, O., Hennis, A., & D'agostino, M. (2024). Artificial
intelligence as a potential catalyst for more equitable cancer treatment.JMIR Cancer, 10.
Mahony, S., & Chen, Q. (2024). The role of artificial intelligence in journalism and concerns about media manipulation.
Journalism.
Mukherjee, J., Sharma, R., Dutta, P., & Bhunia, B. (2023). Artificial intelligence in medicine: mastery. Biotechnology and
Genetic Engineering Reviews, None, 1-50.
Ștefan, S. C., Olariu, A. A., & Popa, Ș. (2024). The impact of artificial intelligence on organizational agility: the PLS-SEM and
PLS-POS approaches. Amfiteatru Economic.
Research Report: Preparing for theFuture AI Era - Economic, Industrial, andSocial ChangesAnalysis and Policy Measures
2025. 1. 17. 04:03