Describing the profound integration of artificial intelligence (AI) with industries today as 'Industrial AI' is far from an overstatement. Whether in the virtual or real economy, a new wave of evolution, spearheaded by Industrial AI, is underway. From our current vantage point, Industrial AI has not only sparked profound internal and external transformations within industries but has also addressed consumer pain points and challenges, rejuvenating the market.

For many stakeholders, Industrial AI is akin to striking gold. It not only offers solutions to long-standing issues but also opens up a realm of imaginative possibilities. This prompts us to ponder: Why does Industrial AI hold such immense potential? What makes it so coveted and favored by industry players?

To unravel these mysteries, we must delve into the core logic of Industrial AI and dissect its underlying business models. Only then can we truly grasp the similarities and differences between Industrial AI and the 'Internet+' phenomenon we've witnessed before, and chart the true course of Industrial AI's development.

The Ultimate Aim of Industrial AI: Transforming Industries

We are all aware that the current internet model is confronting escalating challenges and dilemmas, affecting both top-tier and mid-to-lower-tier players. Many attribute this to the end of the traffic era or the withdrawal of capital. However, these are merely surface-level explanations that fail to address the root causes.

In reality, the challenges and dilemmas faced by internet players and others stem not just from the withdrawal of capital and traffic dividends but also from the inability of traditional supply models to meet evolving demands. To overcome this, a pivotal strategy lies in transforming the industrial end, achieving industrial transformation and upgrading, and re-establishing the connection between the industrial and consumer ends to genuinely surmount the hurdles faced by industrial players.

Against this backdrop, we have witnessed the deployment and application of AI across various industries and scenarios, ushering in the era of Industrial AI. Ultimately, Industrial AI aims to transform the industrial end and re-bridge the gap between supply and demand through this transformative approach. Therefore, Industrial AI is not merely about incorporating AI elements into industries but about leveraging AI to bring about profound and comprehensive changes, thereby achieving true industrial transformation. Thus, the ultimate goal of Industrial AI is not just integrating AI into industries but ensuring that AI brings about fundamental changes and genuinely transforms them. In essence, the ultimate aim of Industrial AI is to revolutionize industries.

The Crux of Industrial AI: Decentralization

Examining the underlying logic of current players' strategies in Industrial AI, their primary objective is to activate both the industrial and consumer ends through AI, bringing about fundamental changes to both. In this process, we observe AI-driven elements continuously replacing traditional ones, AI-based technologies superseding conventional methods, and AI-driven models displacing traditional frameworks. Summarizing and defining these diverse approaches, it becomes evident that the crux of Industrial AI lies in continuously breaking the traditional centralized operational paradigm and establishing a new relationship characterized by seamless alignment and free flow between the industrial and consumer ends.

In this context, the value of traditional platforms and centers extends beyond mere matching and intermediation. It now encompasses direct point-to-point alignment and more precise and rapid connections between the industrial and consumer ends. In other words, only by abandoning traditional platform- and centralization-driven alignment methods and achieving precise and seamless alignment between supply and demand can the full potential of Industrial AI be realized.

From this perspective, the key to Industrial AI does not lie in amassing as many industrial and consumer resources as possible on one's platform but in dispersing these resources to the ends as much as possible, maximizing value through more precise and seamless alignment. Therefore, when viewing Industrial AI, we should not merely see it as a means to further expand one's platform and center but rather as a way to transform the tangible into the intangible, achieving deeper integration between industries and AI, revitalizing industries, and re-establishing alignment between supply and demand.

The Manifestation of Industrial AI: Virtual-Real Integration

Currently, the implementation and application of AI exhibit a prominent characteristic: AI is not only being deployed in real economies but also in virtual economies. Moreover, its deployment in both real and virtual economies does not merely serve to clearly separate the two but rather to bridge the gap and break down barriers between them.

From this perspective, AI has become a bridge and link between virtual and real economies, rather than a means to separate them. For any player aiming to make a mark in the era of Industrial AI, the key to success lies in achieving deeper and more comprehensive integration between virtual and real economies through Industrial AI and establishing closer connections between them.

Therefore, if we are to identify the mainstream manifestation of Industrial AI, it is not the traditional clear-cut distinction between virtual and real economies but rather a state of deep integration where the virtual and real economies intertwine. Finding the correct methods to achieve virtual-real integration under the backdrop of Industrial AI and truly enabling deep and comprehensive integration between the virtual and real economies are crucial for the implementation and realization of Industrial AI. Recognizing this allows us to truly grasp the inherent laws of Industrial AI, step out of the traditional dual industrial structure, and enter the unitary industrial structure of the Industrial AI era.

Conclusion

As AI begins to be deployed and applied in an increasing number of industries and scenarios, Industrial AI is increasingly coming into the public eye. However, when it comes to Industrial AI, we cannot simply equate it with the previous 'Internet+' phenomenon. Industrial AI possesses its own unique characteristics. These unique features are what give it so much imagination and where it can unleash new dividends. By leveraging the unique aspects of Industrial AI, we can usher in a new era of Industrial AI and truly break free from previous development cycles, enabling Industrial AI to forge its own new path.