On August 22, 2026, Uway Technology had the opportunity to participate in the Top 100 AI Startup event at SIHUB, Ho Chi Minh City. The event brought together founders, CTOs, business owners, startup teams, and enterprise leaders who share a common goal: exploring how Artificial Intelligence can create measurable business value.

While many discussions focused on emerging technologies, models, and AI-powered products, one theme consistently stood out throughout the event:

Building AI is becoming easier. Delivering business outcomes with AI remains the real challenge.

AI Is No Longer the Scarce Resource

A few years ago, access to AI models, machine learning expertise, and computing infrastructure was limited to large organizations and research institutions.

Today, the landscape has changed dramatically.

Startups can leverage foundation models, open-source frameworks, cloud infrastructure, and AI development platforms to build intelligent applications faster than ever before. The technical barriers to entry continue to decrease.

As a result, AI itself is no longer the competitive advantage.

The real advantage lies in understanding business problems deeply enough to deploy AI in a way that people actually use and organizations can measure.

The Last Mile Problem

Many companies successfully build AI prototypes, proof-of-concepts, and demos. However, only a small percentage manage to transform those solutions into sustainable business results.

This gap is often referred to as the “last mile” of AI adoption.

The last mile begins when an AI solution leaves the laboratory and enters daily operations.

Questions quickly emerge:

  • Does the solution fit existing workflows?
  • Will employees adopt it?
  • Can it integrate with current systems?
  • Does it improve productivity, revenue, customer experience, or decision-making?
  • Can business leaders measure its impact?

Organizations that solve these challenges gain far more value than those that simply deploy the latest AI technologies.

Technology Must Connect to Business Reality

One of the most valuable aspects of the event was the opportunity to see how startups are applying AI to real-world business challenges.

Across different industries, solutions focused on:

  • Customer service automation
  • Sales and marketing optimization
  • Internal knowledge management
  • Operational efficiency
  • Data-driven decision making
  • Process automation
  • AI-powered assistants and agents

The most compelling solutions were not necessarily the ones using the most advanced models.

Instead, they were the solutions that clearly addressed a business problem and demonstrated a measurable outcome.

Why Businesses Need More Than AI Development

At Uway Technology, we believe many organizations do not need another AI demo.

They need a trusted partner who can bridge the gap between technology and business execution.

Successful AI adoption requires more than model integration. It requires:

  • Understanding business objectives
  • Mapping operational workflows
  • Identifying bottlenecks and inefficiencies
  • Designing human-centered experiences
  • Integrating with existing systems
  • Measuring performance and ROI

This is where implementation becomes more important than experimentation.

The Rise of Outcome-Driven AI

The event reinforced an important trend that we continue to observe across industries:

Organizations are shifting their focus from AI capabilities to business outcomes.

The conversation is no longer:

“Can we build this with AI?”

The conversation is becoming:

“How much value will this create?”

Companies that answer the second question successfully will be the ones that gain sustainable competitive advantages in the AI era.

Looking Ahead

The 100×100 AI Startup event showcased the energy, creativity, and ambition of Vietnam’s growing AI ecosystem. More importantly, it highlighted a shared understanding among founders, CTOs, and business leaders:

AI adoption is not about deploying more technology.

It is about creating measurable outcomes.

At Uway Technology, we are excited to continue helping organizations navigate this journey—from strategy and product design to implementation and business transformation.

Because in the age of AI, the winners will not be those who build the most AI.

They will be those who close the gap between AI and measurable business results.