Jensen Huang: Try AI Before Judging It

As AI evolves quickly, many small and medium-sized businesses still ask the same question: does AI genuinely matter to our operations, or is it simply another technology trend? Unclear ROI, security concerns, and uncertainty around implementation often lead teams to wait.

Technology leaders are suggesting a more practical approach. NVIDIA CEO Jensen Huang recently emphasized that society should evolve with AI, and that people should experience the technology directly before judging it.

Start By Actually Using AI

The real value of AI is difficult to evaluate through theory alone. When AI is placed inside a specific workflow, such as summarizing emails, classifying customer requests, searching internal documents, or drafting operational reports, businesses can see where it helps and where its limits are.

In that sense, AI should not always begin as a large strategic investment. For many SMEs, it can start as a practical assistant that reduces repetitive work and creates better data for decision-making.

The Risk Of Waiting For A Perfect Plan

In DX discussions, Soratech often sees businesses trying to define ROI, security risks, and ideal use cases in detail before testing any AI function. That caution is understandable, but waiting too long can delay important learning.

Generative AI is moving fast. Designing a perfect strategy before any hands-on trial is rarely realistic. Meanwhile, competitors may begin with small experiments, improve them over time, and build operational experience earlier.

How SMEs Can Try AI Safely

The safer path is not to replace an entire system. It is to choose a small workflow with visible impact. Practical starting points include:

1. Adding AI to an existing web system
   Bring summarization, classification, or content suggestions into an internal portal, CRM, or customer management system.

2. Supporting field teams with mobile apps
   Test image recognition, assisted data entry, or automated field reports in a limited operational scope.

3. Launching a website chatbot
   Use reviewed company data to reduce repetitive customer questions and collect early demand signals.

These experiments allow companies to evaluate AI through real usage without interrupting current operations.

How Vietnam Offshore Teams Can Support Experimentation

To test AI quickly, companies need technical capacity to build MVPs, integrate APIs, check data quality, and adjust based on real feedback. Not every SME has enough internal engineering resources for that.

Vietnam-Japan offshore development can help at this stage. The value is not only cost efficiency, but also the ability to build practical web systems, mobile apps, or chatbot prototypes within a clear scope. With bilingual bridge support, requirements, risks, and expectations can be managed more smoothly.

Conclusion

AI creates value only when it is placed inside a real workflow and tested by real users. For SMEs, the first step does not have to be a large AI strategy. It can be a small, safe, practical experiment that is close to an existing business problem.

Soratech supports AI experimentation through web systems, mobile apps, chatbots, and Vietnam-Japan offshore development. If your business wants to begin AI or DX but is unsure which workflow to start with, Soratech can help analyze the options and propose a practical path forward.