Propose solutions for Vietnam to be technologically independent
In the presentation at the National Conference summarizing one year and six months of implementing Resolution 57 on breakthroughs in science and technology development, innovation and national digital transformation, on the afternoon of July 1 in Hanoi, many proposals were put forward by representatives of universities and businesses to promote technology mastery and commercialization of research products.
Professor. Dr. Le Anh Tuan, Director of Hanoi University of Science and Technology, said the unit is restructuring to build a complete innovation ecosystem right within the university. The goal is to get technology from the lab to the market as quickly as possible.
Accordingly, the ecosystem is built on three basic layers. The foundation layer creates source knowledge and technology, including central research institutes and key laboratories, focusing on strategic priorities such as AI, cyber security, semiconductor chips, IoT, renewable energy, mechatronics, robotics, advanced materials and bioengineering.
The middle layer is a model of cooperation between universities and businesses through mixed laboratories and testing centers. This is where researchers and expert engineers from businesses work together, share equipment and solve real-life problems.
The third tier involves commercialization and investment. There are two important institutions that have been formed and deployed at Hanoi University of Science and Technology, including BK Holdings under the holding model - the parent company plays the role of asset management, not directly in production and business; and BK Fund focuses on investing in early-stage technology startups from the school's ecosystem.
According to Mr. Tuan, the interdisciplinary innovation center is the embodiment of the three-party cooperation model, including schools, businesses and the state. However, to connect all elements of the innovation ecosystem into a unified whole, the Director of Hanoi University of Science and Technology recommends that the State soon realize the investment in a modern research center laboratory according to the three-house connection model, along with a scholarship mechanism to encourage talented learners and a remuneration mechanism to attract excellent lecturers and scientists.
He also hopes to soon issue detailed instructions on intellectual property valuation and procedures for establishing businesses originating from higher education institutions. According to him, quite a few research products have good technology and have business partners who want to invest but have not been able to deploy them because of the lack of a clear legal corridor, accepting risks in autonomous pricing and benefit sharing agreements.
From a financial perspective, Professor Tuan proposed shortening approval procedures and speeding up the actual operation of science and technology development funds, national venture capital funds and large cities. Along with that is to quickly promote the establishment and operation of science and technology innovation development funds at higher education institutions and research institutes with diverse financial sources, with counterpart from the state budget as a basis for investment orientation for research and innovation.
Consider AI and big data as the underlying infrastructure
Mr. Luu Anh Tuan, Director of VinUniversity's artificial intelligence research center, assessed that Resolution 57 of the Politburo identified innovative science and technology, innovation and digital transformation as strategic breakthroughs and the main driving force to improve national competitiveness. From Vingroup's practice and perspective, he believes that the core issue for Vietnam to break through in strategic industries is to consider AI and big data as the underlying infrastructure of the economy.
According to Mr. Luu Anh Tuan, Vietnamese people can master complex technology if they have big goals, proper organization and open enough mechanisms. Based on this, he proposed 6 strategic breakthroughs to effectively promote the integration of AI and big data to promote the development of the country's strategic industries.
First, build a national AI data infrastructure. Data should be considered a national strategic resource, but is currently scattered among ministries, localities and businesses, lacking unified standards and safe sharing mechanisms. Therefore, it is necessary to build a data sharing mechanism between the state, businesses and institutions, and at the same time develop open data warehouses, forming data warehouses for important fields, thereby "taking as a foundation for developing AI models with Vietnam's identity and advantages".
The second is to invest in developing "made in Vietnam" platform AI models. Currently, most Vietnamese businesses still depend on foreign AI models with large costs, technology dependence and data risks. Building your own foundational AI such as large language models, multi-modal models, AI models for robotics, smart manufacturing and strategic fields is the right direction.
Third is to develop national AI computing infrastructure. Besides data and models computational capacity is a prerequisite for AI development. Due to huge investment costs, building computing capacity requires the cooperation of the government. Vingroup representatives proposed building according to a shared model, allowing research institutes, universities, and businesses to access resources at a reasonable cost, considering this a national strategy similar to electricity or telecommunications infrastructure.
Fourth is institutional innovation to promote innovation - one of the biggest barriers today. Vingroup proposes to soon promulgate a legal zone in the direction of building a sandbox for new technologies, perfecting data regulations, establishing reliable evaluation standards, and applying flexible investment and revenue mechanisms for AI programs suitable for innovation.
Fifth is developing AI human resources. According to Mr. Tuan, AI competition is essentially a competition for high-quality human resources, so it is necessary to build a national strategy, including training a team of highly qualified experts, attracting Vietnamese scientists abroad or international experts to start businesses and do research.
Finally, promote commercialization and bring AI globally. For AI to truly become a growth engine, it is necessary to form AI businesses with regional and international capabilities. Therefore, it is necessary to support businesses to develop products that meet international standards, protect intellectual property, connect investment funds and expand global markets. At the same time, it is necessary to consider the public sector as the first customer for "made in Vietnam" AI products before going international.
Previously, the issue of Vietnam's technological autonomy received many constructive comments. Speaking at the GStar 2026 event taking place in Ho Chi Minh City on May 29, Deputy Minister of Science and Technology Bui Hoang Phuong emphasized that Vietnam aims to become a group of three leading countries in Southeast Asia in artificial intelligence research and development by 2030.
According to the Deputy Minister, to promote, Vietnam will gradually research, develop, and master core technologies, be autonomous in multi-purpose models, and platform models based on domestic data, not to be completely dependent on foreign technology.
"AI research and development activities require a huge demand for high-quality human resources, computing infrastructure and big data systems," the Deputy Minister said. "Without proper attention and investment, strong enough infrastructure, large enough database, and qualified and competent human resources, AI research and development is still a very difficult problem."
Bao Lam - Trong Dat