AI AND BUSINESS RESTRUCTURING: OPPORTUNITIES AND CHALLENGES IN THE TRANSFORMATION PROCESS

Artificial Intelligence (AI) is revolutionizing the way businesses operate, from production processes and customer service to strategic management. In the era of the Fourth Industrial Revolution, AI adoption is not only a competitive advantage but also a crucial factor in business development.

AI-driven business restructuring helps optimize processes, improve efficiency, and foster innovation. However, this transformation also presents several challenges that must be addressed to ensure effectiveness and sustainability.

Opportunities in AI-Driven Business Restructuring

Optimizing Business Operations

- AI can automate manual processes, helping businesses save time and costs.

- Big Data analytics combined with AI enhances decision-making capabilities.

Enhancing Customer Experience

- AI improves customer service through chatbots, intelligent recommendation systems, and consumer behavior analysis.

- Personalizing customer experiences based on data and demand forecasting.

Boosting Productivity and Innovation

- AI supports businesses in creating new products and services by analyzing market trends.

- Automation enables employees to focus on higher-value tasks.

Risk Management and Data Security

- AI helps detect fraud, financial risks, and cybersecurity threats.

- Enhancing compliance monitoring and forecasting business fluctuations.

Challenges in the AI Transformation Process

Investment Costs and System Integration

- Implementing AI requires significant investment in technology infrastructure, software, and workforce training.

- Integrating AI into existing systems can be challenging due to data and technological incompatibilities.

Shortage of Skilled Workforce

- The demand for AI experts, data scientists, and software engineers is increasing, while the labor supply remains insufficient.

- Businesses need to develop internal training strategies or collaborate with third-party providers.

Risks to AI Data Security

- AI raises concerns about privacy and data security, especially when handling sensitive information.

- Unregulated AI use may lead to ethical issues, such as discrimination or lack of transparency in business decisions.

Cultural Shifts in Organizations

- AI adoption requires changes in work processes and management thinking.

- Resistance from employees due to fears of job loss or disruptions to traditional workflows.

Solutions and Recommendations

Investing in Technology Infrastructure

- Businesses must establish a solid data and technology foundation for effective AI deployment.

- Strengthening collaboration with technology firms and AI experts.

Developing Human Resources

- Training and upskilling employees in AI to adapt to changes.

- Recruiting AI specialists or partnering with research and training institutions.

Establishing Transparent AI Governance Policies

- Developing ethical guidelines to ensure AI operates transparently and responsibly.

- Strengthening data protection and ensuring privacy rights for customers and partners.

Conclusion

AI presents significant opportunities for businesses to restructure, enhance efficiency, and drive innovation. However, to maximize AI’s potential, companies need clear transformation strategies, strategic investments, and careful consideration of related challenges. A balanced approach that integrates technology, human capital, and governance will enable businesses to achieve sustainable success in the digital era.

Author: Tran Anh Hoang -  Legal Senior Assistant

Date: 06/03/2025