At HSC Ho Chi Minh, ‘Global AI Landscape: Opportunities & Lessons for Vietnam’ Debates Data Sovereignty And The Path From Pilot Projects To Production
On August 15, the HSC Conference returned to Ho Chi Minh City, gathering senior voices from venture capital, enterprise technology, and software engineering to debate artificial intelligence adoption, data sovereignty, and the future of agentic enterprise systems.
Among the event’s most anticipated sessions was “Global AI Landscape: Opportunities & Lessons for Vietnam,” moderated by Harpreet Singh Maan, Chief Executive Officer at TEIZA, featuring Laura Nguyen, Partner at GenAI Fund; Harry Vu, Senior Vice President and Chief Operating Officer at SotaTek; Charlie Hu, Co-founder of OpenMax; and Trung Vu, Founder and Chief Executive Officer at Revve AI.
Rather than treating Vietnam’s AI ascent as an inevitable by-product of its deep engineering talent pool, the panelists dissected the practical barriers separating technical potential from scalable deployment. They examined where the country’s renowned developer base and policy momentum have created genuine competitive advantages, and where fragmented enterprise data, local-first product mindsets, and unquantified pilot projects stall adoption before reaching production.
The conversation weighed the strategic tension between leveraging international foundation models and cultivating sovereign, open-weight alternatives attuned to Vietnamese language and governance requirements, while considering what it will take for AI agents to evolve from experimental chatbots into secure, bankable systems capable of operating within institutional compliance frameworks.
What followed was a candid reckoning with the practical realities of building, deploying, and trusting AI within an emerging market context—beginning with an honest assessment of where Vietnam currently stands.
Strengths and Weaknesses of the Ecosystem
Laura introduced a framework of people, process, and product to evaluate Vietnam’s readiness. She noted that Vietnamese AI talent is frequently described as the best in ASEAN, supported by strong entrepreneurial energy and proactive government policies. However, the panel agreed that the country still lags in product development and global scalability. Trung, himself a Y Combinator alumnus, observed that too many startups lack a “global-first mindset,” remaining focused on local markets rather than international expansion. The ability to build rapidly is well established; launching world-class products remains the critical challenge.
The Enterprise Implementation Gap
Harry confronted a widespread misconception among corporations: that AI is essentially plug-and-play. He stressed that deploying a model is typically the final step after cleansing fragmented data, standardizing structures, and establishing human-in-the-loop workflows. “If your data is ugly, is fragmented… before applying AI, you have a lot of things to do,” he explained. Charlie drew a sharp distinction between personal prototypes and enterprise-grade solutions, noting that large organizations prioritize governance, data privacy, and regulatory compliance over marginal performance gains. “If you don’t have the proper legal checks and security checks, they’re not going to go with your solution at all,” he stated.
Sovereignty and the Model Debate
The discussion acquired a geopolitical dimension as panelists debated Vietnam’s reliance on international foundation models. Charlie cautioned against unconditional trust in American frontier labs, describing closed models as “essentially still a black box.” The moderator warned of “digital colonization,” where sustained dependence on foreign infrastructure could eventually compromise national negotiating power. Trung proposed a pragmatic middle path: rather than having individual tech giants build separate models, Vietnam should pool resources to develop an open-weight model adapted to local language and culture. Laura framed the strategic dilemma through an academic lens of trust—capability, benevolence, and transparency—suggesting that policymakers and entrepreneurs may rightly reach different conclusions.
Barriers to Scalable Adoption
Despite widespread enthusiasm, enterprises struggle to advance beyond pilot projects. Laura argued that the fundamental obstacle is quantifiable return on investment. Boards of directors require financial justification, not vague promises of productivity improvement. “At the end of the day, how much money is it bringing back to me or the organization?” she asked. Trung added that enterprise workflows contain unspoken cultural rules that resist easy automation, while Charlie noted that many existing solutions simply fail the rigorous security and reliability checklists that enterprise leaders require.
Closing the session, panelists expressed measured optimism about the next three to five years. Harry advocated for a unified national language model initiative, while Charlie affirmed his company’s strong commitment to Vietnam’s digitally savvy market. Trung urged future founders to think globally from inception. The conversation ultimately portrayed Vietnam as possessing both the talent and ambition to carve out a distinctive AI trajectory—provided the ecosystem successfully closes the gap between technical capability and enterprise-ready execution.
Disclaimer
In line with the Trust Project guidelines, please note that the information provided on this page is not intended to be and should not be interpreted as legal, tax, investment, financial, or any other form of advice. It is important to only invest what you can afford to lose and to seek independent financial advice if you have any doubts. For further information, we suggest referring to the terms and conditions as well as the help and support pages provided by the issuer or advertiser. MetaversePost is committed to accurate, unbiased reporting, but market conditions are subject to change without notice.
About The Author
Alisa, a dedicated journalist at the MPost, specializes in crypto, AI, investments, and the expansive realm of Web3. With a keen eye for emerging trends and technologies, she delivers comprehensive coverage to inform and engage readers in the ever-evolving landscape of digital finance.
More articles
Alisa, a dedicated journalist at the MPost, specializes in crypto, AI, investments, and the expansive realm of Web3. With a keen eye for emerging trends and technologies, she delivers comprehensive coverage to inform and engage readers in the ever-evolving landscape of digital finance.
