On August 14–15, Conviction 2026 unfolded at Thiskyhall in Ho Chi Minh City as a two-day gathering devoted to the frontiers of artificial intelligence, blockchain, and digital assets. Within its halls, policy dialogues, keynote addresses, executive panels, partnership announcements, and curated side events came together in a single, continuous flow, transforming the conference into a shared stage where conversations moved fluidly from regulatory frameworks and financial infrastructure to enterprise AI and the rapidly evolving world of Web3 technologies.
Rather than moving step by step through the agenda, this recap of Conviction 2026 instead follows the connective tissue between sessions, the ideas that echoed across stages, and the signals they collectively reveal about the trajectory of Vietnam’s technology landscape. The event also took place against a backdrop of accelerating policy momentum, with Vietnam advancing new legal frameworks for digital assets and positioning AI as a strategic pillar of future economic growth.
Where Vietnam’s Digital Future Took Shape
Although the agenda covered dozens of presentations across two days, Conviction 2026 program followed a clear progression. It opened with policymakers outlining the legal and regulatory foundations for digital assets in Vietnam before shifting toward discussions on market infrastructure, institutional participation, stablecoin payments, tokenization, and cross-border finance. From there, attention moved beyond financial systems to the next generation of AI, exploring sovereign AI, enterprise deployment, autonomous agents, governance, and production-ready infrastructure.
That progression was reflected in the mix of organizations participating throughout the conference. Representatives from Vietnam’s National Assembly, the Ministry of Justice, the State Securities Commission, and VCCI shared the stage with companies and organizations including AWS, Google Cloud, Viettel AI, Databricks, Circle, Tether, Chainalysis, HashKey, Dragon Capital, Standard Chartered, ACB, Sky Mavis, Animoca Brands, and many others.
The side events reinforced the same direction. One of them, Business Blockchain Adoption, brought together speakers from Varmeta, Hashgraph, Centrifuge, RMIT University, and DCP to examine why enterprise blockchain initiatives often stall after pilot projects and what is required to transform them into production-ready financial infrastructure. While the setting was smaller, the discussion echoed many of the questions raised on the main stage.
Viewed as a whole, Conviction 2026 was structured less as a collection of independent talks than as a roadmap. Each section of the agenda built on the previous one, moving from policy to infrastructure, from infrastructure to enterprise adoption, and from enterprise adoption to practical AI and blockchain applications. Those recurring themes form the foundation of the sections that follow.
Day 1: Establishing the foundations for digital assets
Regulatory and legal frameworks set the direction for Vietnam’s digital asset market
Senior representatives from Vietnam’s National Assembly, the State Securities Commission, the Ministry of Justice, VCCI, and industry associations examined how policies surrounding blockchain, AI, and digital assets are beginning to evolve. Discussions covered regulatory sandboxes, investor protection, taxation, cross-border capital flows, cybersecurity, and the legal responsibilities that will shape the next phase of market development.
The agenda also reflected Vietnam’s recent regulatory momentum, including Resolution 57-NQ/TW, Resolution 68-NQ/TW, and the newly enacted Digital Technology Industry Law.
What stood out was that regulation was no longer framed as a barrier to innovation. Instead, speakers consistently described it as the infrastructure required for institutions to participate with greater confidence. As digital assets move beyond speculative markets into enterprise applications and financial services, legal certainty becomes just as important as technological capability.
This direction closely reflects what Varmeta has observed while working with organizations exploring blockchain adoption. Enterprise blockchain initiatives rarely stall because of technical limitations alone. Questions around governance, compliance, auditability, and long-term operational standards often determine whether a proof of concept can evolve into production. The conversations at Conviction 2026 suggested that Vietnam is beginning to address these challenges through policy as well as technology.
Institutional adoption is shifting blockchain from pilots to production
Throughout the afternoon, speakers from financial institutions, blockchain infrastructure providers, and technology companies examined how tokenization, institutional digital assets, and enterprise blockchain are progressing from isolated pilot projects toward production-ready financial infrastructure. The discussions focused on the operational requirements needed to support adoption at scale, including custody, liquidity, interoperability, governance, and compliance.
Several sessions also highlighted the growing role of tokenization in reshaping capital markets. Much of the discussion centered on moving beyond proof-of-concept deployments toward infrastructure capable of supporting institutional participation at scale, an evolution that mirrors the broader maturity of global digital asset markets.
For enterprises, this reflects an important transition. Blockchain is increasingly being evaluated as business infrastructure rather than a standalone technology initiative.
Stablecoins are evolving into the payment layer of digital finance
Among the defining conversations of Conviction 2026 – Day 1, the rise of stablecoins stood out not as another cryptocurrency trend, but as a fundamental shift in how digital finance is being built.
Across multiple panels, speakers painted a picture of stablecoins evolving far beyond their origins in digital asset trading. They are increasingly finding a place in cross-border payments, merchant settlements, treasury operations, and institutional financial infrastructure. Several speakers described stablecoins as the emerging payment rail for cross-border commerce, with growing attention shifting from trading activity toward enterprise settlement, treasury operations, and merchant payments.
Yet the discussion extended well beyond payment speed. Equal attention was given to the ecosystem surrounding these transactions, from liquidity and compliance to settlement networks and enterprise-grade infrastructure capable of supporting adoption at scale.
The implications are becoming increasingly clear. The next competitive advantage is unlikely to come from simply embracing digital assets, but from building payment ecosystems that combine efficiency with trust, regulatory readiness, and seamless integration into existing financial operations.
AI and blockchain are beginning to converge in enterprise innovation
Rather than treating AI and blockchain as separate technology trends, topics ranged from AI-powered digital commerce and autonomous AI agents to blockchain infrastructure capable of supporting secure payments, trusted data exchange, and machine-to-machine transactions. Multiple sessions also explored how AI agents may increasingly rely on blockchain infrastructure to execute transactions, verify data integrity, and establish trusted digital interactions without constant human intervention.
Security also emerged as a recurring focus. As AI introduces new opportunities for automation, it simultaneously creates more sophisticated cybersecurity challenges. Speakers discussed how AI is reshaping threat detection, smart contract auditing, transaction monitoring, and real-time defense, reinforcing the need for stronger trust frameworks as digital ecosystems become increasingly autonomous.
AI enables systems to make decisions and automate complex workflows, while blockchain provides the transparency, traceability, and trust needed to govern those actions.
HSC Conference Ho Chi Minh: Enterprise conversations beyond the main stage
While the Main Stage focused on policy, market direction, and the future of digital assets, the side event of Conviction 2026 shifted the conversation toward execution. Designed as a dedicated track for enterprise practitioners, it brought together technology providers, financial institutions, and solution builders to examine what blockchain adoption looks like in real business environments.
The sessions centered on the “how”: how organizations are integrating distributed ledger technology into existing operations, overcoming implementation challenges, and building systems that can meet enterprise requirements for governance, scalability, and compliance.
From pilot projects to production-ready blockchain systems
One of the standout discussions within the track explored a challenge familiar to many organizations: turning promising blockchain pilots into production-ready infrastructure.
The panel brought together Julie Pham, Head of Partnerships at Varmeta, alongside experts from Hashgraph, Centrifuge, RMIT University, and DCP Co., Ltd. to discuss the conditions required for enterprise blockchain adoption to scale beyond experimentation. The conversation examined the operational foundations that determine long-term success, including governance, interoperability, integration with existing systems, and the readiness of supporting financial infrastructure.
A recurring theme throughout the session was that successful enterprise adoption depends on far more than deploying a blockchain network. Organizations must establish clear governance models, integrate new platforms with existing business processes, and ensure that blockchain solutions can operate reliably within complex regulatory and operational environments. Without these foundations, even technically sound pilot projects often struggle to deliver lasting business value.
Day 2: AI Moves Beyond Assistance Toward Autonomous Execution
AI governance and infrastructure take center stage
The second day of Conviction 2026 shifted the conversation from digital assets to artificial intelligence, opening with discussions on responsibility, trust, and the infrastructure required to support AI at both national and enterprise levels.
That direction closely reflects Vietnam’s recent policy momentum. Alongside Resolution 57-NQ/TW, Resolution 68-NQ/TW, and the newly enacted Digital Technology Industry Law, AI is increasingly positioned as a strategic capability for long-term economic growth rather than simply another emerging technology. Speakers connected these policies to practical priorities, including sovereign AI, domestic large language models, trusted data ecosystems, and the infrastructure needed to support large-scale AI deployment. The discussions echoed Vietnam’s broader push toward sovereign AI, where ownership of infrastructure, trusted data, and domestic AI capabilities are increasingly viewed as strategic national assets.
The sessions also highlighted a fundamental shift in enterprise thinking. As AI systems move beyond content generation into autonomous reasoning and decision-making, governance, transparency, data ownership, and accountability become integral parts of system design rather than considerations added after implementation.
Building the foundations for Agentic AI
Several technical sessions explored what it will take for Agentic AI to move from demonstrations into production environments.
Presentations from AWS, Google Cloud, Viettel AI, and other technology leaders as part of Conviction 2026 focused less on model performance and more on the underlying systems that make autonomous AI possible. Computing infrastructure, large-scale reasoning, orchestration frameworks, enterprise data integration, and workflow management were repeatedly identified as the components that determine whether AI agents can operate reliably in real business environments.
One of the strongest themes emerging throughout these discussions was the industry’s changing engineering mindset. Prompt engineering remains important, but attention is rapidly expanding toward the broader architecture surrounding AI systems. Enterprise AI now depends on how models access data, coordinate with software, interact across business processes, and remain observable under clear governance throughout their lifecycle.
Enterprise AI is moving beyond experimentation
Across sessions covering enterprise platforms, banking, startups, marketing, and AI-native businesses, the conversation consistently moved beyond proof-of-concept deployments toward production-ready implementation. Sessions involving AWS, Databricks, Google Cloud, and enterprise practitioners consistently returned to the same question: what organizational foundations are required before AI can operate reliably at scale? Rather than debating where AI could create value, speakers focused on the operational conditions required for AI to perform consistently across business-critical environments.
Topics such as data quality, governance, organizational readiness, security, and human oversight appeared across multiple discussions, illustrating that successful AI adoption depends as much on organizational capability as on technical performance. The emphasis was no longer on deploying isolated AI applications, but on integrating AI into existing workflows where reliability, compliance, and measurable outcomes matter.
This perspective closely mirrors what Varmeta continues to observe across enterprise transformation initiatives. Sustainable AI adoption rarely begins with selecting the most advanced model. It begins with designing processes, governance, and operational foundations that allow AI to generate value consistently as organizations scale.
AI is transforming creative industries through collaboration
The final sessions expanded the conversation beyond enterprise infrastructure to examine how AI is reshaping creative industries, from marketing and filmmaking to digital content production.
Idea generation, visual production, localization, post-production, and content distribution are increasingly supported by AI, allowing teams to shorten production cycles while exploring far more creative possibilities than traditional processes have allowed.
At the same time, the discussions suggested that the widespread availability of generative AI is changing where competitive advantage truly lies. As the technology itself becomes more accessible, differentiation increasingly comes from creative direction, editorial judgment, domain expertise, and the ability to combine AI with human collaboration in meaningful ways.
The sessions concluded with a theme that resonated throughout both days of Conviction 2026. Whether applied to finance, enterprise software, or creative production, AI delivers its greatest impact when it strengthens human capability rather than replaces it. Organizations that pair technological innovation with thoughtful governance and practical execution will be best positioned to translate AI into long-term business value.
Looking beyond Conviction 2026
Over two days, Conviction 2026 painted a compelling picture of where technology is heading, not through bold predictions, but through the conversations taking place among policymakers, enterprise leaders, technologists, and innovators shaping that future today.
Across discussions on regulatory frameworks, institutional blockchain adoption, Agentic AI, enterprise governance, and creative intelligence, one message surfaced again and again: the next wave of digital transformation will not be defined by how quickly organizations adopt new technologies, but by how thoughtfully they build the foundations that allow those technologies to create lasting value.
Innovation is entering a more mature chapter. The conversation is gradually shifting away from isolated breakthroughs and toward trusted systems, where AI operates responsibly, blockchain supports real economic activity, governance evolves alongside technology, and infrastructure becomes the invisible layer that enables everything else to scale.
All of this marks an important turning point. Competitive advantage will increasingly belong to organizations that can connect emerging technologies with practical execution, balancing innovation with governance, ambition with operational readiness, and experimentation with measurable outcomes.
At Varmeta, these conversations resonate with the work we do every day. We believe transformative technologies create meaningful impact only when they solve real business challenges and fit naturally into the way organizations operate. Whether through enterprise blockchain, AI-powered solutions, or digital transformation strategies, our goal is to help businesses bridge the distance between innovation and implementation.
The conversations at Conviction 2026 may have concluded, but the journey toward enterprise AI and blockchain adoption is only beginning. If your organization is exploring how these technologies can drive sustainable growth, connect with Varmeta to discover practical, enterprise-ready solutions built for the next generation of digital transformation.