AI as an Enabler, Not a Threat for Vietnam Enterprises
The impact of Artificial Intelligence is undeniable, transforming industries and reshaping the very fabric of how we work. This transformation is happening rapidly, and its effects on employment are becoming increasingly clear. While in 2024, business leaders denies AI accuracy, in 2025, Major Wall Street banks are anticipating significant job cuts due to AI adoption, with Bloomberg Intelligence projecting up to 200,000 job losses in the next 3–5 years. While information and technology officers are predicted to see a smaller reduction of 3%, some bank executives such as Citigroup, JPMorgan, and Goldman Sachs foresee even higher job losses, ranging from 5–10% of their workforce. Despite these potential job displacements, the transition to AI is expected to boost bank profits by 12–17% by 2027, adding approximately $180 billion to their bottom line.
For Vietnam, where AI development is still emerging, this global trend presents a unique opportunity: to learn from the successes and challenges of leading nations. AI literacy is no longer optional; it’s the key to survival and growth in the increasingly competitive landscape. By embracing AI and fostering AI literacy, Vietnam can shift the narrative from fears of job displacement to a recognition of AI as a powerful tool that augments human capabilities. Embracing AI isn’t merely about keeping pace; it’s about unlocking Vietnam’s own potential for innovation and economic growth.
AIFVN is working to empower businesses with the necessary AI training to navigate this transformation, helping them not only adapt but also capitalize on the opportunities AI presents, and equip their workforce for the future of work.
Hands-On AI Adoption For Your Business
AI is no longer a futuristic concept — it’s a present-day necessity that’s actively shaping hiring trends and operational strategies. Nearly 80% of Vietnamese business leaders now prioritize hiring candidates with strong AI skills over those with traditional experience but no AI expertise. This shift underscores the urgency for businesses to integrate AI at every level, ensuring that employees are not just aware of AI tools but know how to apply them effectively in their daily work.
AI Literacy is Key: Learning to Use AI, Not Just Access It
For businesses to fully leverage Generative AI (GenAI), employees must move beyond simply using AI-powered applications and develop an in-depth understanding of how these tools function. To bridge this gap, businesses should encourage employees to experiment with AI in small-scale projects before implementing it at a company-wide level. These initial applications allow teams to understand AI’s strengths and limitations, fostering a culture of innovation while minimizing risks.
Workforce Readiness: Integrating AI in Business Operations
GenAI is augmenting human roles rather than replacing them, but for employees to thrive in an AI-driven workplace, they must know how to use AI tools strategically and efficiently. Businesses can begin by introducing AI pilot programs in various departments, ensuring a structured and controlled approach to implementation.
Key AI adoption areas for businesses include:
✅ Marketing: AI-generated content, personalized recommendations, and predictive analytics.
✅ Human Resources: AI-powered candidate screening, resume parsing, and chatbot-based HR support.
✅ Finance: AI-driven risk assessments, fraud detection, and automated financial reporting.
By integrating AI-assisted tools such as chatbots, data analytics platforms, and process automation software, businesses can increase efficiency, reduce costs, and enhance decision-making without requiring large-scale infrastructure changes.
Providing Role-Specific GenAI Training
The effectiveness of AI adoption depends on customized training programs that cater to employees at different levels. Simply deploying AI tools isn’t enough — businesses must equip their teams with the knowledge and skills necessary to use AI effectively in their specific roles.
1. Executives & Leaders
Executives and leaders could learn how to formulate and execute comprehensive business strategies that leverage the power of Artificial Intelligence. This includes identifying key areas where AI can drive innovation, improve operational efficiency, and create a competitive advantage. They can explore frameworks for integrating AI into their overall business vision and aligning AI initiatives with strategic goals.
AI literacy would also allow leaders to identify and evaluate promising AI investment opportunities. This includes understanding the different types of AI technologies and their potential applications, as well as developing robust methods for assessing the return on investment (ROI) of AI projects. Participants will learn how to measure both the financial and strategic benefits of AI initiatives, enabling them to make informed investment decisions.
AI Tool Examples: Tableau (for data visualization and analysis), C3 AI (for enterprise AI applications), and ThoughtSpot (for AI-powered business intelligence).
2. Non-Technical Teams
2.1 AI for Content Creation
Employees could receive hands-on training with generative AI tools, learning to create various types of content, including marketing copy, social media posts, blog articles, and even internal communications. The training should also cover ethical considerations surrounding AI-generated content and best practices for ensuring quality and avoiding plagiarism.
2.2 AI in Customer Service
Participants will learn how to effectively use AI-powered chatbots and virtual assistants to handle customer inquiries, resolve issues, and provide personalized support. The training could focus on seamlessly integrating these AI tools into existing customer service workflows for maximum efficiency.
2.3 AI for day-to-day tasks
Employees can learn best practices to leverage AI tools for automating routine tasks, such as scheduling, data entry, and email management. The training will also cover the use of AI-powered project management platforms to improve team collaboration and productivity.
AI Tool Examples: Jasper.ai (for content creation), Intercom (for customer service chatbots), and Zapier (for workflow automation).
3. Technical Teams
3.1 Optimizing Existing Systems with AI
Rather than simply integrating AI, technical teams should focus on optimizing existing workflows with AI capabilities. This training should go beyond basic API integration and delve into how AI can enhance specific processes. For example, instead of just connecting an AI-powered chatbot to a CRM, the training should explore how to use AI to personalize customer interactions based on real-time data, predict customer churn, or automate lead qualification. This requires understanding not just the technical aspects of integration but also the business logic behind the workflows. Tools like LangChain and LlamaIndex can be invaluable here, allowing developers to build sophisticated AI applications that interact seamlessly with existing data and systems.
3.2 Building Intelligent Automation
The focus should shift from basic automation to intelligent automation. Technical teams should learn how to build automated workflows that not only perform tasks but also learn and adapt over time. This involves incorporating machine learning models for tasks like predictive maintenance, anomaly detection, and dynamic resource allocation. Training should cover how to train and deploy these models within automated workflows, how to monitor their performance, and how to retrain them as needed.
AI Tool Examples: Airflow, Prefect, and Dagster can be used to orchestrate these complex, AI-driven workflows, while platforms like MLflow and Weights & Biases can help manage the machine learning lifecycle within these automations.
The focus should shift from basic automation to intelligent automation. Technical teams should learn how to build automated workflows that not only perform tasks but also learn and adapt over time. This involves incorporating machine learning models for tasks like predictive maintenance, anomaly detection, and dynamic resource allocation. Training should cover how to train and deploy these models within automated workflows, how to monitor their performance, and how to retrain them as needed.
AIFVN: Your Partner in Unlocking GenAI for All
Artificial Intelligence is no longer just a competitive advantage — it’s a business necessity. Companies that fail to embrace AI risk falling behind, while those that integrate AI effectively are already seeing higher productivity, cost savings, and increased innovation. However, the key to AI success lies in proper training and strategic implementation — this is where AIFVN comes in.
At AI for Vietnam, we unite global experts, foster cutting-edge research, and open collaboration to accelerate AI innovation and application for every individual and organization in Vietnam. From specialized GenAI training to applied research and consulting, our initiatives equip diverse audiences with the skills and tools to thrive in the AI era.
Wrapping Up
The rise of Artificial Intelligence is reshaping industries globally, and Vietnam stands at a critical juncture. While concerns about job displacement are understandable, the evidence suggests that AI is more of an enabler than a threat, offering significant opportunities for growth and innovation. AI literacy is no longer optional; it’s essential for survival and success. As Vietnamese business leaders increasingly prioritize AI proficiency in hiring, the need for comprehensive AI training and education becomes paramount. Enterprises in Vietnam must move beyond simply providing access to AI tools and invest in comprehensive, role-specific AI training that caters to the needs of different teams.
Ultimately, Vietnam’s success in the age of AI will depend on businesses ability to embrace AI as a powerful tool for human augmentation, not replacement. Strategic AI integration across the enterprise would allow businesses to unlock full potential, drive growth, and lead in the age of AI. The time to act is now, and the future belongs to those who are ready to embrace the AI revolution.