Whether observing Apple's recent product launches or those from players in the automotive and internet sectors, it is evident that AI concepts, represented by large models and intelligent agents, have become integral aspects for various types of players venturing into AI. This gives us the impression that AI is no longer exclusive to a select few players but has become a new arena accessible to almost all players.

Embracing AI is no longer just a compelling story told by players to the capital markets; it is a novel approach that genuinely brings tangible changes to industries and consumers. At this point, merely applying AI within one's own business processes to gain an edge over competitors is no longer a potent competitive tool. Instead, how to implement AI across different industries, scenarios, business processes, and workflows as extensively as possible has become a new focal point of competition.

Thus, we cannot help but ask: when more and more players begin to embrace AI and AI-driven products start to emerge like mushrooms after rain, what exactly is the next stop for AI? In this new cycle, how will players ensure their advantageous positions? Essentially, regardless of the circumstances, applying AI as extensively as possible across different industries, scenarios, processes, and links to find greater ubiquity is the next stop for AI.

Ubiquity: Letting AI Penetrate Industries

Like all new technologies, to maximize its utility, AI must be applied across as many industries and scenarios as possible to achieve deep integration with industries, rather than merely remaining superficial or formalistic. When AI becomes a standard feature for almost all players, the picture that emerges is one where AI has penetrated various industries.

In this context, AI becomes the common language of almost all industries. For players, simply leveraging their accumulations from the traditional era to develop their own AI large models or intelligent agents is not the end. To maximize AI's effectiveness, it must penetrate industries, genuinely using AI to transform the elements and operational logic of industries, ultimately bringing about profound changes within the industries themselves.

From this perspective, using AI as a foundation to achieve bottom-up transformation and innovation within industries and completing a profound supply-side transformation to meet upgraded user demands is what AI truly aims to achieve. At this point, how to integrate AI elements into industries and bring about profound and perfect changes to industries is what players truly need to do. For instance, the new forms of expression AI has brought to the mobile phone industry; for instance, the profound changes AI has brought to people's work styles; for instance, the profound changes AI has brought to how people acquire information and knowledge, shifting from active search to active supply... All are direct manifestations of this phenomenon.

Therefore, ubiquity does not mean that every player must have their own large model or intelligent agent; rather, it means that every player must integrate AI into industries and bring about genuine new transformations to industries using AI.

Ubiquity: Letting AI Activate Traffic

The era of incremental growth has ended, and the era of stock growth has arrived, becoming a consensus. However, even in this context, finding new increments in the era of stock growth has become a subject that every player must delve into. Ultimately, finding new increments requires using new technologies and models to activate dormant traffic, turning it into new increments. AI has emerged, developed, and grown under these circumstances.

We all know the scenes of queues for installing lobster farming equipment when the lobster farming craze swept through; we all know the popularity of users creating works with AI tools when they were first introduced; we all know the crowds cheering for AI robots running on sports fields... Behind these phenomena lies a crucial message: AI is becoming a means to activate traffic. People may have become accustomed to traditional and internet elements, but they maintain a high level of freshness towards AI.

When we apply AI to various scenarios in people's lives, it becomes a new means to activate traffic. Through this new means, new demands have emerged, and new dividends have been released in the era of stock growth. For every player seeking new increments in the era of stock growth, how to apply AI in a ubiquitous manner and make it a genuine means to activate traffic may be the key to ensuring new development in the era of stock growth.

Why has the robot phone derived from the combination of Honor and AI received so much acclaim? Why has Tencent's WorkBuddy been so favored? One crucial reason is that by applying AI to different industries and scenarios, AI has activated traffic, revealing new increments in the era of stock growth.

Ubiquity: Letting AI Form an Ecosystem

As more and more players embrace AI, we witness the emergence of numerous AI players. These players include physical entities, digital economy players, and those combining digital and physical elements. Although AI has become a standard feature for them and is beginning to play a role in their respective business areas, the application of AI across different industries and scenarios by these diverse players remains separate and isolated, failing to form an ecosystem. To maximize AI's functionality, AI needs to become more ubiquitous, enabling it to form an ecosystem.

This requires us to apply AI to more fields and scenarios, achieving greater ubiquity for AI on a larger scale, and using ubiquity to create a new ecosystem where AI can play a more significant role. This is why, when lobster farming became popular, Tencent introduced a comprehensive lobster farming package. For other players, how to break free from the limitations of a single industry scenario or sector and truly operate AI with an ecological mindset and perspective is crucial to maximizing AI's functions and effects.

The greatest significance of ubiquity as the next stop for AI lies in how to apply AI on a larger scale, breaking free from the limitations of a single player or scenario, and achieving the integration of embodied intelligence, large models, and intelligent agents under the AI mechanism, as well as the fusion of the digital economy and the real economy. When AI transcends singularity, breaks free from isolation, and truly penetrates various industries, achieving integration and coordination among them, perhaps its functions and effects can be maximized.

Epilogue

As more and more players begin to view AI as a standard configuration, AI initiates a bottom-up renewal of industries. Nevertheless, AI's ubiquity is still insufficient. To maximize its utility, AI needs to become even more ubiquitous. When AI penetrates richer industrial forms, activates larger traffic groups, and constructs a larger ecosystem, true ubiquity will arrive. At that point, the vast industrial forest constructed by AI will nurture even more possibilities.