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How Enterprises Can Seize Opportunities in the AI Era

Nov 12-2025   




*This article is based on a piece by Huang Zhuo, Vice Dean of Peking University's National School of Development and Dean of BiMBA Business School.

 

The AI Era Has Arrived

Over the past two years, various generative AI large language models have achieved significant performance improvements—particularly in terms of their logical reasoning capabilities. Generative AI has sparked a revolution in demand, extending into areas that were previously beyond the reach of traditional artificial intelligence. It can efficiently and creatively generate diverse content such as text, code, images, and videos, and is now being applied across numerous fields, including education, commerce, and artistic creation.

Generative AI can also be seen as a revolution on the supply side. Through natural language, it enables relatively fluent dialogue between humans and machines, allowing machines to understand human instructions. This significantly enhances communication efficiency and the user experience of interacting with algorithms, thereby transforming traditional working methods.

 

What Opportunities Does the AI Era Bring to Enterprises?

AI covers several key domains, including computing power, algorithms, data, applications, and talent. While these elements are creating entirely new markets, they also pose high entry barriers. Additionally, AI drives innovation in products and services—a trend known as "AI+Applications." Furthermore, leveraging AI tools to improve business operational efficiency and employee productivity represents the "AI+People" opportunity. Within this framework, two key pathways emerge:

On the demand side: It enables the fulfillment of personalized needs. As incomes rise, consumer demand for customized products and services has also increased, and AI holds immense potential in addressing this demand.

On the production side: AI presents significant opportunities, especially in enhancing human productivity. Early signs of this potential are already evident—for instance, AI has begun to strengthen team collaboration in automated office solutions and smart manufacturing.

One particularly notable opportunity lies in supporting creative professionals, such as designers and strategists, who stand to benefit significantly from AI technologies. Moreover, intelligent recommendation systems can deliver products precisely tailored to customer needs by deeply understanding and engaging with users.

Integrating AI into manufacturing and industry—especially in smart manufacturing and industrial robotics—boasts substantial development potential. AI also plays a crucial role in empowering scientific research, significantly boosting its efficiency.

 

How Should Enterprises Seize Opportunities in the AI Era?

First, formulate an AI strategy. Enterprises must develop AI-related strategies that clearly define AI’s position in the company’s core strategy, as well as its relationship to core competencies, future product roadmaps, and overall development goals. This serves as the cornerstone of building an AI strategy. Additionally, enterprises should proactively integrate into the AI ecosystem and establish an AI partner network.

Second, plan the integration of AI into their own products and services. During this process, it is essential to identify real user pain points—specifically those that users are willing to pay to solve—in order to deliver innovative user experiences and gain competitive advantages.

Third, use AI technology to enhance operational efficiency. Enterprises should explore ways to incorporate AI into corporate and team decision-making processes to empower employees.

Fourth, establish organizations where AI and humans collaborate. Two core characteristics require attention: human-machine synergy and learning-oriented organizations. Human-machine synergy progresses through three stages: empowerment, co-creation, and autonomous agent navigation. Organizations must adjust their structures in line with the current stage of human-machine collaboration. In the AI era, an organization’s learning capacity is paramount, and enhancing employees’ mastery of AI technologies is key to improving this capacity. Therefore, greater emphasis should be placed on building learning-oriented organizations.

Fifth, strengthen AI leadership. In the AI era, many emerging trends lack sufficient empirical evidence to confirm their regularity and stability. As a result, corporate decision-making increasingly relies on leaders’ foresight and cognitive abilities. Furthermore, advancing AI strategies and integrating them with business operations requires significant resource investment—an effort that largely depends on leaders’ understanding of AI.

 

How Enterprises Can Seize Opportunities in the AI Era

Nov 12-2025   




*This article is based on a piece by Huang Zhuo, Vice Dean of Peking University's National School of Development and Dean of BiMBA Business School.

 

The AI Era Has Arrived

Over the past two years, various generative AI large language models have achieved significant performance improvements—particularly in terms of their logical reasoning capabilities. Generative AI has sparked a revolution in demand, extending into areas that were previously beyond the reach of traditional artificial intelligence. It can efficiently and creatively generate diverse content such as text, code, images, and videos, and is now being applied across numerous fields, including education, commerce, and artistic creation.

Generative AI can also be seen as a revolution on the supply side. Through natural language, it enables relatively fluent dialogue between humans and machines, allowing machines to understand human instructions. This significantly enhances communication efficiency and the user experience of interacting with algorithms, thereby transforming traditional working methods.

 

What Opportunities Does the AI Era Bring to Enterprises?

AI covers several key domains, including computing power, algorithms, data, applications, and talent. While these elements are creating entirely new markets, they also pose high entry barriers. Additionally, AI drives innovation in products and services—a trend known as "AI+Applications." Furthermore, leveraging AI tools to improve business operational efficiency and employee productivity represents the "AI+People" opportunity. Within this framework, two key pathways emerge:

On the demand side: It enables the fulfillment of personalized needs. As incomes rise, consumer demand for customized products and services has also increased, and AI holds immense potential in addressing this demand.

On the production side: AI presents significant opportunities, especially in enhancing human productivity. Early signs of this potential are already evident—for instance, AI has begun to strengthen team collaboration in automated office solutions and smart manufacturing.

One particularly notable opportunity lies in supporting creative professionals, such as designers and strategists, who stand to benefit significantly from AI technologies. Moreover, intelligent recommendation systems can deliver products precisely tailored to customer needs by deeply understanding and engaging with users.

Integrating AI into manufacturing and industry—especially in smart manufacturing and industrial robotics—boasts substantial development potential. AI also plays a crucial role in empowering scientific research, significantly boosting its efficiency.

 

How Should Enterprises Seize Opportunities in the AI Era?

First, formulate an AI strategy. Enterprises must develop AI-related strategies that clearly define AI’s position in the company’s core strategy, as well as its relationship to core competencies, future product roadmaps, and overall development goals. This serves as the cornerstone of building an AI strategy. Additionally, enterprises should proactively integrate into the AI ecosystem and establish an AI partner network.

Second, plan the integration of AI into their own products and services. During this process, it is essential to identify real user pain points—specifically those that users are willing to pay to solve—in order to deliver innovative user experiences and gain competitive advantages.

Third, use AI technology to enhance operational efficiency. Enterprises should explore ways to incorporate AI into corporate and team decision-making processes to empower employees.

Fourth, establish organizations where AI and humans collaborate. Two core characteristics require attention: human-machine synergy and learning-oriented organizations. Human-machine synergy progresses through three stages: empowerment, co-creation, and autonomous agent navigation. Organizations must adjust their structures in line with the current stage of human-machine collaboration. In the AI era, an organization’s learning capacity is paramount, and enhancing employees’ mastery of AI technologies is key to improving this capacity. Therefore, greater emphasis should be placed on building learning-oriented organizations.

Fifth, strengthen AI leadership. In the AI era, many emerging trends lack sufficient empirical evidence to confirm their regularity and stability. As a result, corporate decision-making increasingly relies on leaders’ foresight and cognitive abilities. Furthermore, advancing AI strategies and integrating them with business operations requires significant resource investment—an effort that largely depends on leaders’ understanding of AI.