Fortunately, more and more players are beginning to find connections between AI and real-world business, and more players are starting to find new paths for AI development beyond capital.
Whether it's the rapid implementation of Luobo Kuaipao or Pinduoduo's use of AI to transform agricultural production methods, we can see that AI is no longer just AI itself, but has become an entity that can connect with real-world business and form a complete closed loop.
Therefore, when AI begins to reshuffle, merely emphasizing the concept of AI or viewing AI as something that exists only in a laboratory cannot bring lasting influence to AI.
Finding the correct development path during the AI reshuffling period and achieving a magnificent transformation of AI may be the key to truly bringing AI development into a new stage.
01 Capital is no longer the only driving force for AI
In the past, when mentioning AI, the first thing we thought of was various investment players investing in AI projects.
It can be said that the early development of AI, like all new business developments we have seen in the past, was mainly driven by capital.
When capital became the only driving force for AI, we saw a strange phenomenon:
Any project associated with AI, any company that had a deep connection with AI, was invariably sought after and made a fortune.
However, as we have seen in the past, capital's interest in any new thing or new business is not unchanging or lasting.
Once the market's momentum fades, capital's enthusiasm will begin to wane.
We can see the same signs in AI.
Whether it's Alibaba's stock price soaring when fully embracing AI and now starting to retreat, or Baidu's valuation turning red when Luobo Kuaipao was implemented and now trending towards rationality, all of these are direct manifestations of this phenomenon.
Everything is telling us that capital is no longer the only driving force for AI, and capital is no longer the decisive force guiding AI development.
So, what exactly is the internal driving force for AI now?
I believe the most important point is the ability of AI to land and apply.
More precisely, it's the ability of AI to deeply connect with real-world business and generate new profits from it.
For any player, AI is no longer a label to attract attention from the outside world and capital markets, but has become a testing ground to see if they can find suitable business models.
If players want to continue to achieve something in the AI era, abandoning the development model that was previously dominated by concepts and marketing, and finding more possibilities for monetization through AI landing and application, may be the key to truly bringing their development into a new stage.
In summary, capital is no longer the only driving force for AI. The creation of business value and the new businesses established as a result are the key to determining whether future AI players can go far.
02 Marketing is no longer the only label for AI
Whether it's using AI to attract attention from the capital market or to stimulate interest from C-end users, we can see that for many players, AI conveys more connotations and meanings in terms of marketing.
What is marketing?
In essence, they add the concept of AI more out of marketing considerations, more to emphasize the concept of AI.
It must be said that by treating AI as a marketing method, it can indeed gain attention from the capital market and C-end users, and indeed achieve twice the result with half the effort.
However, as AI enters a new stage of reshuffling, if it is still only seen as a marketing tool, if it is still only seen as a concept without truly finding the deep operational logic of AI and unable to bring breakthroughs in technology and application, then the so-called AI may still fall into a new dead end.
For any player who wants to make a difference in the AI reshuffling stage, they should not just see marketing as the only label for AI, but need to give AI more functions and meanings.
The "AI+" development model represented by AI landing and application is naturally indispensable.
In addition, I believe we should seek more connections between different business paradigms to create a new ecosystem with AI as the main infrastructure, just like the ecosystem we created in the Internet era.
Only by truly separating AI from marketing, turning it from something that attracts people's attention into something that is closely related to people's production and life, can we truly bring AI development into a whole new stage.
For any player who wants to make a difference in the new cycle of AI reshuffling, this is the key to truly helping them traverse the new cycle of reshuffling.
Otherwise, the so-called AI will still be just a marketing method, and everything will start over again when the heat subsides.
03 The Internet is no longer the only application scenario for AI
One important reason why so many players have joined the AI wave and added the concept of AI is that players who have been unable to find a breakthrough point and remedy for the Internet have joined in.
Whether it's Baidu, which entered the game first, or Alibaba, JD.com, and Pinduoduo, which came later, all are direct manifestations of this phenomenon.
It can be said that for the early AI industry, the Internet was almost its only landing and application scenario.
Simply treating the Internet as the application scenario for AI and seeing AI as an entity deeply bound to the Internet is actually greatly underestimating the function and significance of AI.
For AI, this not only fails to bring its own development into a whole new stage, but may even lead AI development into an Internet-style dead end.
As AI begins to reshuffle, especially as AI increasingly needs new and rich application scenarios for enhancement, simply seeing the Internet as the only application scenario for AI is beginning to encounter more and more difficulties and challenges.
It can be certain that the players who can truly stand out during the reshuffling period and truly become AI leaders will certainly not be those who see the Internet as the only landing and application scenario for AI.
It can be certain that the players who can truly make breakthroughs during the reshuffling period will certainly not be those who connect AI with the Internet, but those who truly establish deep connections between AI and transportation, agriculture, manufacturing, and other real economies.
It can be certain that the players who can truly win during the reshuffling period will certainly be those who can break free from the constraints of the Internet and truly find a new business model for AI development.
From this perspective, as AI begins to reshuffle, players should not limit AI landing and application scenarios to the Internet, but should place them on thousands of industries outside the Internet, especially more real economies.
When AI connects with more scenarios outside the Internet, when AI is no longer unique to the Internet, it can truly break out of the Internet's cycle, truly open new windows, and achieve new development and breakthroughs.
At this time, AI is no longer a derivative of the Internet, but becomes a connection point linking virtual economy and real economy.
At this time, AI is no longer a fleeting concept, but becomes an entity that can exist for a long time and can bring people's production and lifestyle into a whole new stage.
Conclusion
More and more signs are beginning to show that the AI development cycle dominated by marketing and concepts is fading away, and the AI reshuffling period dominated by landing and application is coming.
For any player who wants to make a difference during the reshuffling period, they must bid farewell to the development model dominated by capital, break out of the development model dominated by marketing and concepts, and break out of the development model dominated by the Internet.
As AI begins to reshuffle, the development models that have worked time and time again in the past are failing.
As AI begins to reshuffle, new development models need to be nurtured and incubated.