摘要：Building core competitiveness in AI application is a key task for companies. How do you think AI will disrupt current business mod

Building core competitiveness in AI application is a key task for companies. How do you think AI will disrupt current business models and create new opportunities? How should companies plan and respond to this?

LI Zixue

Chairman, ZTE Corporation

The key tasks for enterprises aiming to use artificial intelligence (AI) to boost their competitiveness are cutting costs, improving efficiency, and continuously creating value, thereby building a long-term and robust competitive advantage.

Currently, AI large language models are gradually disrupting traditional business models in the following ways:

Product servitization: Traditional software is transitioning toward subscription-based AI services.

Product intelligence: AI capabilities are being integrated into traditional products to create more personalized products, such as smart glasses and autonomous vehicles.

Operational intelligence: Enterprises are enhancing their operational efficiency through AI, shifting from manual operations to intelligent automation. For example, ZTE has accelerated its technical documentation generation by 10 times and reduced quality control costs by 70%.

Human replacement: In the future, humanoid robots combined with AI technology will reshape homes, offices, and service scenarios, creating entirely new business models and opening vast market opportunities.

The AI industry is a critical element of the "unprecedented changes in a century." As a representative of "new productive forces," it is reshaping the business landscape at an extraordinary pace.

When adopting AI, enterprises should first define a clear development strategy tailored to their specific characteristics. Then, by introducing AI technology, companies can optimize their internal processes and boost their work efficiency, helping them to achieve their digital transformation and increase their competitiveness. For example, at ZTE, large model research and development has already driven a 30% improvement in coding efficiency. Furthermore, enterprises should actively collaborate with external AI solution providers to integrate the technology with their data, and their own unique scenarios. In this manner, they can accelerate industrial innovation and discover new sources of growth and new competitive advantages.

来源：博鳌亚洲论坛