Southeast Asia has spent the past decade building the foundations of a major technology economy. Governments have invested heavily in digital transformation, startup ecosystems have matured, and adoption of emerging technologies continues to accelerate. In August, Singapore updated its 2026 growth forecast to between 4.5% and 5.5%, citing global AI investment as a key driver. Yet as these technologies mature, the nature of the opportunity is changing. The region has demonstrated that it can foster innovation, attract investment and accelerate technology adoption. Its next challenge is turning that innovation into products, businesses and industries that can compete globally. In conversations with customers, technology partners and engineering teams across Southeast Asia, I increasingly hear the same question: how do we move from experimentation to execution, and from promising ideas to scalable business outcomes? Tan Aik Hoon, Regional President, Avnet South Asia and Korea This was a recurring theme at Avnet’s recent Edge & Beyond Tech Days in Singapore and Vietnam, where engineers, technology leaders, ecosystem partners and business decision-makers discussed what it takes to deploy intelligent systems in the real world. The discussions reflected a broader shift: from proving what is possible to delivering what is practical, scalable and commercially viable. For Southeast Asia, the ability to make this transition successfully could become a defining competitive advantage. The challenge beyond the prototype A prototype proves that something is possible. A commercial product must perform reliably in the real world, satisfy security and regulatory requirements, be manufactured and deployed at scale, and generate a sustainable economic return. Avnet’s 2026 Insights Survey found that 56% of engineers globally are already shipping products that incorporate AI, highlighting how quickly the technology is moving beyond experimentation and into practical application. Yet some of the most complex challenges emerge only after a proof of concept has been declared successful. System integration, cybersecurity, power and thermal constraints, manufacturability and supply chain resilience often become the determining factors in whether a product succeeds commercially. As AI moves closer to the physical world through factories, industrial systems, robotics and infrastructure, the engineering behind these technologies becomes increasingly important. When intelligent systems can affect production, safety or critical infrastructure, reliability is no longer simply a technical objective. It becomes a responsibility. Southeast Asia is well positioned for this next phase. The region combines a growing pool of engineering talent, sophisticated manufacturing ecosystems and a significant role within global electronics supply chains. Singapore has established itself as a centre for innovation and ecosystem development, while Vietnam has strengthened its position as a major electronics and manufacturing hub, with industrial production rising 10.8% in the first half of 2026, its strongest first-half growth in seven years. What matters is the convergence of these strengths. The next generation of intelligent products will require far more than software alone. Semiconductors, connectivity, sensors, embedded computing, cybersecurity, manufacturing expertise and systems engineering must work together seamlessly. Many of these capabilities already exist across the region. The opportunity now is to connect them more effectively. Collaboration becoming a competitive advantage Whether speaking with manufacturers in Vietnam, technology startups in Singapore or engineering teams across the region, I hear a similar message: no organisation can successfully scale advanced technologies alone. Consider an intelligent industrial application. A semiconductor company may provide the computing platform. A software developer builds the intelligence. A systems integrator conn