Decision 1528/QD-TTg 2026 approve National Programme for development of artificial intelligence human resources through 2030

DECISION

Approving the National Programme for development of artificial intelligence human resources through 2030, with orientations towards 2035^[1]

THE PRIME MINISTER

Pursuant to the February 18, 2025 Law on Organisation of the Government;

Pursuant to the June 14, 2019 Law on Education; and the December 10, 2025 Law Amending and Supplementing a Number of Articles of the Law on Education;

Pursuant to the December 10, 2025 Law on Higher Education;

Pursuant to the December 10, 2025 Law on Vocational Education;

Pursuant to the June 27, 2025 Law on Science, Technology and Innovation;

Pursuant to the December 10, 2025 Law on Artificial Intelligence;

At the proposal of the Minister of Education and Training in Report No. 1610/TTr-BGDDT of August 5, 2026, and Report No. 1493/TTr-BGDDT of July 26, 2026, proposing the approval of the National Programme for development of artificial intelligence human resources through 2030, with orientations towards 2035,

DECIDES:

Article 1. To approve the National Programme for development of artificial intelligence human resources through 2030, with orientations towards 2035 (below referred to as the Programme), with the following contents:

I. VIEWPOINTS

1. Developing artificial intelligence human resources is a strategic and urgent national task associated with the development of high-quality human resources, promoting the formation of a digital workforce, and contributing to enhancing national competitiveness and achieving the goal of double-digit economic growth in the 2026-2030 period.

2. Artificial intelligence human resources shall be developed comprehensively through three tiers: (i) the universal tier, providing knowledge and skills for the safe and effective application of artificial intelligence in learning, work and daily life; (ii) the application tier, training human resources in different sectors and fields who are capable of integrating and effectively applying artificial intelligence and meeting the requirements of job positions in different occupations and professions; and (iii) the advanced tier, training scientists, engineers, experts and lecturers capable of researching, developing, mastering, deploying and administering artificial intelligence systems and platforms.

3. Artificial intelligence human resources shall be developed based on a competency-based approach, standardisation, reference to international standards and suitability to Viet Nam’s conditions.

4. Artificial intelligence human resources shall be developed to meet the requirements for the safe, reliable, transparent and responsible development, deployment and governance of artificial intelligence and for risk management; must ensure data sovereignty, system safety, cybersecurity and protection of state secrets; and comply with law, ethical standards and social responsibility.

5. The State shall play a facilitating, leading and coordinating role; promote public-private cooperation among the State, education institutions, research institutes and enterprises in training, research and development of artificial intelligence human resources; combine attraction, training, further training, retraining and effective utilisation of artificial intelligence human resources; and develop an artificial intelligence human-resource ecosystem linked to the development of strategic technology sectors, enhancement of national technological self-reliance, promotion of innovation and digital transformation, and development of the digital economy and digital society.

II. OBJECTIVES

1. Overall objective

To develop artificial intelligence human resources of the scale, structure and quality to meet the requirements of developing strategic technology sectors, enhancing national technological self-reliance, promoting innovation and digital transformation, and developing the digital economy and digital society; make the ability to use and apply artificial intelligence one of the essential competencies of learners, workers and management and governance personnel; develop highly qualified and specialised human resources capable of researching, developing, mastering, deploying and administering artificial intelligence systems in a safe, reliable and responsible manner; and aim to make Viet Nam a country with artificial intelligence human-resource development capacity among the leading countries in the region, contributing to higher productivity and national competitiveness and guaranteeing national interests in the artificial intelligence era.

2. Specific objectives through 2030

a/ To universalise knowledge, skills and competencies for the safe and effective use of artificial intelligence among learners, workers and management and governance personnel:

- At least 80 per cent of general-education students and pre-university students will acquire basic knowledge and skills in artificial intelligence appropriate to their age, linked to the development of digital thinking, computational thinking, ethics in the use of artificial intelligence, and the ability to use artificial intelligence safely and responsibly.

- To strive for the target that 100 per cent of learners in higher education institutions and at least 80 per cent of learners in vocational education institutions will be equipped with basic knowledge and skills in artificial intelligence, ethics and data safety, and be capable of using and applying artificial intelligence safely, effectively and responsibly in learning, research and professional activities.

- At least 90 per cent of cadres, civil servants, public employees and workers in public non-business units, and 100 per cent of cadres, civil servants, public employees and workers in education and training, will receive further training and updated knowledge and skills in artificial intelligence and be capable of using and applying artificial intelligence safely, effectively and responsibly in professional, management and governance activities. Of this, at least 100,000 teachers, lecturers and educational administrators will receive advanced training and be capable of guiding, supporting and disseminating the safe, effective and responsible use and application of artificial intelligence; and at least 10 million workers will receive training, further training or updates on basic artificial-intelligence use skills.

b/ To develop sector- and field-specific applied artificial intelligence human resources: to provide training, conversion training and advanced training for at least 50,000 persons with university- or higher-level qualifications who will be able to apply artificial intelligence in key sectors and fields.

c/ To develop highly qualified and specialised artificial intelligence human resources: to train and further train at least 10,000 highly qualified artificial-intelligence personnel, including researchers, engineers and experts capable of researching, developing, mastering, deploying, operating and governing advanced artificial intelligence systems, including at least 1,500 experts capable of researching, developing and mastering core technologies and leading key artificial intelligence tasks.

d/ To establish an artificial intelligence-integrated education system at all education levels and training qualifications; 100 per cent of higher education institutions will implement regulations on the use of artificial intelligence in training, research and assessment; and at least 80 per cent of diploma-issuing training programmes of vocational education will integrate learning outcomes and training content on artificial intelligence application competencies appropriate to each training sector, field and occupation.

dd/ To develop a network of artificial intelligence training and research institutions: to establish at least 10 advanced, specialised artificial intelligence training and research centres, including 5-7 artificial intelligence centres reaching an advanced regional level and gradually approaching international standards; to develop at least 25 higher education institutions serving as hubs for artificial intelligence training, research and innovation, implementing specialised artificial-intelligence training programmes, AI+X integrated programmes by sector and field, and X+AI application programmes.

3. Orientations towards 2035

a/ To establish a modern and sustainable artificial intelligence human-resource ecosystem capable of adapting to technological development and international integration; to make the ability to use and apply artificial intelligence universal among the workforce; to make artificial intelligence a foundational technology driving learning, labour, production, business and national governance.

b/ To develop artificial intelligence human resources of the scale, structure and quality to meet the requirements of the digital economy, digital society, green economy and strategic technology sectors and enhance national technological self-reliance. To establish a contingent of highly qualified experts, engineers, scientists, lecturers and managers capable of researching, developing, mastering and leading artificial intelligence technologies and competing in regional and international artificial intelligence development networks.

c/ To establish artificial intelligence centres, training programmes and research groups reaching advanced regional and international standards, with the capacity to train high-quality artificial intelligence human resources, research and develop core artificial intelligence technologies, attract international experts and participate deeply in regional and international artificial intelligence development networks.

d/ To make Viet Nam a country with artificial intelligence human-resource development capacity among the leading countries in the region, with an ecosystem for safe, reliable and responsible artificial intelligence training, research, application and governance, directly contributing to improving productivity, innovation, quality of public services, national competitiveness and protection of national interests in the artificial intelligence era.

III. GROUPS OF KEY TASKS AND SOLUTIONS

1. Building and improving institutions on competency standards and the system of governance of artificial intelligence human-resource development

a/ Developing a national artificial intelligence competency framework, specifying standards for assessing artificial intelligence competencies with reference to international artificial intelligence competency frameworks and standards, and ensuring suitability to Viet Nam’s conditions.

b/ Developing and issuing guidelines on application of training-programme standards, learning-outcome standards and artificial intelligence training programmes for selected key groups, ensuring consistency and transferability among training levels.

c/ Reviewing and appropriately integrating basic content on artificial intelligence, computational thinking, digital skills and ethics in technology use into general education curricula according to a roadmap and within designated competence; encouraging experiential, research and creative activities in artificial intelligence.

d/ Adding artificial intelligence competency standards to occupational standards for specific groups, within designated competence and appropriate to each sector, occupation and job position; prescribing recognition, assessment and certification of artificial intelligence competencies to promote lifelong learning and labour mobility.

dd/ Building a database on artificial intelligence human resources to monitor, assess and forecast the supply and demand for human resources and skills, serving as a basis for policymaking and adjustment of training programmes.

e/ Establishing and operating inter-ministerial and inter-sectoral coordination mechanisms; building a system for monitoring, supervision and evaluation of artificial intelligence human-resource development, ensuring linkages among education, science and technology, digital transformation and the labour market, and improving the effectiveness of coordination and implementation of the Programme.

2. Developing the contingents of educators, experts and support networks for artificial intelligence training

a/ Developing and implementing programmes to provide training and updates on knowledge, skills and competencies for the use and application of artificial intelligence to lecturers and teachers at all education and training levels, ensuring consistency with the national artificial intelligence competency framework.

b/ Organising training, retraining and further training for artificial intelligence lecturers and experts, linking training with research, application and enterprise needs; and establishing a network of artificial intelligence lecturers and experts.

c/ Attracting and effectively employing domestic experts, overseas Vietnamese experts and international experts to work in Viet Nam and train artificial intelligence human resources.

d/ Encouraging the rotation and exchange of experts among research institutes, education institutions and enterprises to strengthen links among training, research and practical application.

3. Developing highly qualified and specialised artificial intelligence human resources and research and innovation capacity

a/ Developing and implementing specialised artificial intelligence training programmes linked to key engineering fields and strategic technologies in conformity with international standards and technology development needs; encouraging interdisciplinary AI+X programmes linked to priority fields.

b/ Effectively implementing scholarship policies for master’s, doctoral and post-doctoral training in artificial intelligence, prioritising core-technology fields serving application areas in which Viet Nam has comparative advantages and linking them to national development needs.

c/ Supporting the establishment and development of strong research groups, key laboratories and centres of excellence in artificial intelligence, ensuring conditions for research, innovation and high-quality human resource training; encouraging interdisciplinary research groups linked to databases and practical problems in the country.

d/ Implementing commissioned programmes linking research, training and technology transfer, mobilising participation by the State, higher education institutions, research institutes and enterprises, with enterprises playing the role of co-facilitating practical problems, data and testing environments.

dd/ Strengthening international cooperation and linkages with leading higher education institutions and research institutes worldwide in artificial intelligence training, research and human-resource exchanges, in order to access advanced knowledge and enhance endogenous capacity.

4. Universalising, retraining and upgrading artificial intelligence skills for learners, workers, cadres, civil servants and public employees

a/ Formulating and implementing programmes to universalise basic artificial intelligence knowledge and skills for learners, workers, management personnel and population communities in flexible forms appropriate to each target group, combining online and face-to-face training, guided self-learning, community learning and workplace training.

b/ Developing retraining programmes to upgrade artificial intelligence skills appropriate to workers’ needs, job positions and the requirements of sectors and fields strongly affected by artificial intelligence, focusing on the ability to use artificial intelligence tools, analyse data, automate processes, ensure human-machine coordination, protect data and adapt to occupational change.

c/ Organising training and guidance on self-learning and self-development of competencies for applying artificial intelligence in official duties for cadres, civil servants and public employees through training courses, self-learning tools and practical use of artificial intelligence in performing assigned tasks.

d/ Supporting enterprises, particularly small- and medium-sized enterprises, cooperatives, production and business establishments and socio-professional organisations, in accessing artificial intelligence training programmes, competency assessment tools, expert consultation and shared learning resources to improve productivity and competitiveness.

dd/ Prioritising support for vulnerable groups, workers at risk of replacement by automation, learners in disadvantaged areas, women in technology, persons with disabilities and groups in need of equal access to artificial intelligence competencies.

e/ Formulating, reviewing and updating open online training and further training programmes to universalise artificial intelligence competencies; developing open learning systems and shared educational resources on artificial intelligence and coordinating their integration and deployment on the Binh dan Hoc vu So (Digital Literacy for All) platform and existing digital learning platforms.

g/ Building a learning society and learning communities within the national education system appropriate to each access tier: organising training courses and subjects using digital platforms and open educational resources at the universal tier; developing AI+X integrated training models by sector and field and X+AI application programmes appropriate to each target group, qualification and occupational needs.

5. Linking training with enterprises and the labour market

a/ Implementing enterprise- and labour market-commissioned training mechanisms; promoting cooperation among the State, education institutions, research institutes and enterprises in commissioned training, including short-term and accelerated programmes required by enterprises, strategic investors and multinational corporations.

b/ Researching, proposing and implementing, within designated competence, regulatory sandbox models for artificial intelligence training, practice and application in accordance with law.

c/ Developing and expanding practice-oriented training models such as internships and enterprise-based practical training; implementing co-supervision mechanisms between training institutions and enterprises; and promoting enterprise semester and experiential learning models in artificial intelligence.

d/ Applying financial incentive mechanisms for enterprises investing in artificial intelligence laboratories at education institutions.

dd/ Encouraging enterprises to participate in formulating training programmes, receiving interns, retraining workers and coordinating the implementation of applied artificial intelligence models by sector, occupation and field.

e/ Building and developing an ecosystem connecting the recruitment, utilisation and development of artificial intelligence human resources, strengthening cooperation and coordination among schools, the labour market and the innovation ecosystem.

g/ Studying financial mechanisms to support retraining and advanced skills training for workers affected by artificial intelligence, automation and digital transformation, prioritising integration with occupational skills development policies, the unemployment insurance fund, existing retraining programmes, socialised resources, public-private partnerships and voluntary contributions from enterprises; when necessary, studying and proposing a dedicated fund model or financial mechanism in accordance with law.

6. Developing shared infrastructure, data and practice environments for artificial intelligence training

a/ Connecting, sharing and exploiting artificial intelligence infrastructure within the national artificial intelligence infrastructure network.

b/ Developing shared platforms for learning materials, models, tools and artificial intelligence practice environments to support teaching, learning, research and innovation nationwide; prioritising integration with computing infrastructure and shared data repositories to form an online artificial intelligence practice ecosystem.

c/ Establishing and implementing mechanisms for access to, allocation and use of computing and data resources for higher education institutions, vocational education institutions, research institutes and research groups, ensuring fairness and efficiency and prioritising key tasks; clearly defining the governing units, registration-approval-use monitoring process and priority mechanisms for qualified programmes and research groups.

7. Communication, awareness raising and universalisation of artificial intelligence skills

a/ Intensifying social communication on artificial intelligence, combined with the development of self-learning platforms, community learning programmes and open resources, to expand access and raise public awareness of artificial intelligence.

b/ Organising guidance and dissemination of information on the safe and responsible use of artificial intelligence, linked to ethical and legal principles and data protection.

IV. FUNDING FOR IMPLEMENTATION

1. Annual state budget allocations shall, under regulations on budget decentralisation, be provided to ministries, sectors and localities in accordance with the Law on the State Budget, the Law on Public Investment, the Law on Investment and other relevant laws.

2. Lawful revenues of training institutions in accordance with law.

3. Resources of enterprises; socialised resources, donations, aid, public-private partnerships, funds and other lawful financial sources in accordance with law.

V. ORGANISATION OF IMPLEMENTATION

1. The Ministry of Education and Training

a/ To act as the focal point for formulating the plan for organising the implementation of the Programme and assigning tasks in adherence to the principle of “6 clear elements: clear person, clear task, clear authority, clear responsibility, clear time and clear product”; summarise and report to the Prime Minister on implementation results of the Programme; urge, inspect, evaluate, conduct a preliminary review and final review of the situation and results of implementation of the Programme; when necessary, to assume the prime responsibility for, and coordinate with relevant agencies in, submitting to competent agencies for issuance, or issuing according to its competence, documents guiding the management, organisation of implementation and related contents to ensure synchronous, consistent and lawful implementation of the Programme. The Ministry of Education and Training shall be responsible for the contents of the reports, proposals and recommendations in Report No. 1610/TTr-BGDDT of August 5, 2026, and Report No. 1493/TTr-BGDDT of July 26, 2026.

b/ To assume the prime responsibility for building the database on artificial intelligence human resources.

c/ To develop criteria for selecting training institutions to serve as hubs for artificial intelligence training, research and innovation, and implement specialised artificial-intelligence training programmes, AI+X integrated programmes by sector and field, and X+AI application programmes.

d/ To assume the prime responsibility for building and developing open learning-material systems and shared educational resources on artificial intelligence on digital learning platforms, including the Binh dan Hoc vu So platform led by the Ministry of Public Security.

dd/ To assume the prime responsibility for performing tasks within the state management scope of the Ministry of Education and Training; to coordinate with ministries, sectors and localities in implementing inter-sectoral tasks of the Programme.

e/ To assume the prime responsibility for developing a set of indicators for monitoring, supervising and evaluating implementation results of the Programme. Evaluation of the Programme shall be conducted annually; a preliminary review shall be conducted in 2028 and a final review in 2030.

2. The Ministry of Science and Technology

a/ Based on its assigned functions and tasks, to proactively formulate a plan or integrate the Programme into the ministry’s programmes and plans; to prioritise resource allocation for the effective implementation of the Programme.

b/ To guide and prioritise connections of computational infrastructure, data and shared platforms serving artificial intelligence research, training and innovation; to support the development of artificial intelligence laboratories, strong research groups and centres of excellence.

c/ To assume the prime responsibility for, and coordinate with relevant ministries and sectors in, formulating and implementing programmes to support the development of experts, scientists, research groups and high-quality human resources in artificial intelligence; to promote international cooperation in research, innovation and artificial intelligence human-resource development.

d/ To advise on the implementation, review, amendment and supplementation of policies to attract artificial intelligence talent, create an attractive working environment and establish a network of domestic artificial intelligence experts and scientists and Vietnamese experts and scientists overseas; to identify and foster young talent in artificial intelligence research and technology development.

3. The Ministry of Public Security

To assume the prime responsibility for guiding the connection, sharing and exploitation of data from the National Data Centre according to assigned functions and tasks and legal provisions; to coordinate with the Ministry of Education and Training, the Ministry of Science and Technology and relevant ministries and sectors in ensuring cybersecurity, information system safety, data safety and protection of state secrets during the implementation of the Programme.

4. The Ministry of Finance

a/ To assume the prime responsibility for, and coordinate with the Ministry of Education and Training and relevant ministries and agencies in, summarising and submitting proposals for allocation of state budget funds for the implementation of the Programme to competent authorities in accordance with the laws on the state budget and public investment and other relevant laws.

b/ To research and propose amendments or supplements to tax and financial incentive mechanisms for enterprises investing in artificial intelligence laboratories at higher education institutions.

5. The Ministry of Home Affairs

a/ Based on assigned functions and tasks, to proactively formulate a plan or integrate the Programme into the ministry’s programmes and plans; to prioritise resources for the effective implementation of the Programme.

b/ To assume the prime responsibility for, and coordinate with the Ministry of Education and Training in, monitoring and analysing trends in employment shifts, skills needs and the impacts of artificial intelligence on the labour market, serving state management, forecasting human resource needs and formulating human-resource development policies.

c/ To assume the prime responsibility for, and coordinate with the Ministry of Education and Training, the Ministry of Science and Technology, the Ministry of Finance and relevant agencies in, researching and proposing mechanisms to support retraining and advanced skills training for workers affected by artificial intelligence, automation and digital transformation.

6. Other ministries and ministerial-level agencies

a/ Based on assigned state-management functions and tasks, to proactively formulating plans or integrate the Programme into their ministries’ or agencies’ programmes and plans; to prioritise resources for implementation of the Programme.

b/ To identify artificial intelligence human-resource needs by sector and field; to participate in commissioning training; to identify or propose requirements for artificial intelligence application competencies by sector, field and job position; to coordinate with competent agencies in developing and updating relevant competency frameworks or standards.

c/ To implement training, further training and enhancement of artificial intelligence application competencies and universalise artificial intelligence among cadres, civil servants and public employees in the sectors under their management; to integrate artificial intelligence competency requirements into personnel training and further training.

d/ To direct and guide affiliated education institutions and research institutes to proactively formulate plans for the implementation of the Programme.

dd/ To submit reports to the Ministry of Education and Training on the implementation of the Programme by November 30 every year for summarisation and reporting to the Prime Minister.

7. Provincial-level People’s Committees

a/ Based on the Programme’s tasks and local conditions, to formulate plans or integrate the Programme into local programmes and plans; to research, formulate and introduce mechanisms and policies and prioritise resources for implementation of the Programme.

b/ To identify local artificial intelligence human-resource needs; to organise artificial intelligence training and further training and universalise artificial intelligence among cadres, civil servants, public employees, teachers, workers, small- and medium-sized enterprises, cooperatives and groups in need of support.

c/ To guide enterprises, professional associations and social organisations to coordinate with education institutions, research institutes, localities and state management agencies in implementing retraining and artificial intelligence skills upgrading for workers; to participate in developing, assessing and providing feedback on training quality, the relevance of artificial intelligence skills and learners’ ability to meet practical work requirements.

d/ To report implementation results of the Programme to the Ministry of Education and Training by November 30 every year for summarisation and reporting to the Prime Minister.

Article 2. This Decision takes effect on the date of its signing.

Article 3. Ministers, heads of ministerial-level agencies, Chairpersons of provincial-level People’s Committees, heads of relevant organisations and agencies, and relevant individuals shall implement this Decision.-

For the Prime Minister
Deputy Prime Minister
LE TIEN CHAU

* The Appendices to this Decision are not translated.