How Generative AI Influences Our Daily Life and Consumption Habits

In this era of information explosion, artificial intelligence technology is changing our lifestyles and working methods at an unprecedented pace. Among them, generative artificial intelligence (Generative AI), as a major branch of AI, is gradually moving from behind the scenes to the forefront, becoming a new engine driving the development of the digital economy and society.

1. A New Engine of the Digital Economy

Generative AI is a branch of artificial intelligence technology that generates text, images, sound, video, code, and other content based on algorithms, models, and rules.

In 2022, the global generative AI market revenue reached 40 billion USD, and it is expected to exceed 1.3 trillion USD by 2032, with a compound annual growth rate (CAGR) as high as 42% during 2022–2032.

The generative AI industry can be roughly divided into three layers: infrastructure, model, and application.

Infrastructure layer: the key resource engine for the development of the generative AI industry. The huge demand for computing power will drive the construction of digital infrastructure.

Model layer: the original driving force of industrial technological transformation. The implementation of large models will empower thousands of industries, promote the digital transformation of traditional industries, and trigger a new wave of AI industrial diffusion. The MaaS (Model as a Service) model will continue to serve as the key business model for large model implementation, reshaping value flows and technology transmission paths in the industrial chain.

Application layer: the actual implementation of the technological value of generative AI. By changing content production and human-computer interaction methods, it will profoundly affect consumption, production, and everyday life.

2. User Perception of Generative AI

More than two-thirds of respondents expressed that they felt mainly surprised (76%) and excited (68%) about generative AI technology. However, 40% also expressed concerns due to their limited understanding of generative AI, which brings uncertainty.

Society as a whole is widely discussing ethical and moral issues related to AI. Even technology companies that promote AI development are weighing the commercial value of AI against its potential to serve humanity, as well as the balance between its potential benefits and risks. The governance and risk issues triggered by generative AI are similar in nature.

On the user side, generative AI appears primarily in the form of "AI assistants" and "intelligent assistants," integrated with traditional Internet products such as instant messaging, office software, online customer service, and creative tools, providing users with intelligent communication, work, and creative experiences.

3. Applications in the Retail Industry

Compared with industries more closely related to generative AI technology (such as information technology, media, and telecommunications), the consumer goods and retail industries still have greater growth potential in applying and deploying generative AI.

Based on business scenarios and audience nature, the application of generative AI can be divided into:Front-end (consumer-facing business scenarios)Back-end (internal service scenarios)

The era of generative AI has arrived. It is not only a technology but also a brand-new lifestyle. Let us embrace change, enjoy the convenience brought by technology, and look forward to a smarter future together.