Today, as AI empowerment across industries becomes a trend, more players are focusing on specific scenarios. Whether it's the deep integration of large models with vertical industries or the deployment of embodied AI products in increasingly diverse scenarios, all point to this trend. Unlike early AI players who focused solely on the capital side, current players are increasingly turning their attention to the vast ocean of scenarios.

Some players are using AI to solve industry-specific dilemmas, while others are deeply empowering their service objects with AI. Regardless of the approach, one thing is certain: deep scenarios across industries are becoming the new future for AI players. It is foreseeable that only those who truly achieve deep integration of AI with various industries will emerge victorious in the new journey ahead.

After the early sprout and accumulation, AI development has entered a new stage. In this phase, what truly tests players is no longer just parameters but their ability to integrate into various industries and bring about a new iteration and upgrade. If we consider the previous stage of AI development as an accumulation phase, then AI is now entering a fruitful new stage.

Scenarios and AI can mutually empower each other

In many cases, when discussing AI empowerment, we first think of how to apply AI to scenarios, deeply transforming their internal elements and processes to achieve profound empowerment and thus scenario transformation and upgrade. Currently, players are exploring and practicing along this path. The application of AI technology in autonomous driving and its deployment in medical, educational, logistical, and many other scenarios are all direct manifestations of this phenomenon.

In fact, besides deeply and comprehensively empowering scenarios with AI, we can also deeply empower AI through scenarios. This is because previously developed AI products were often derived solely from existing laboratory data, whereas scenarios across industries contain more vivid and abundant data resources. To make AI evolution more vivid, it is necessary to delve into scenarios across industries and deeply empower AI through their rich contexts.

Therefore, one important reason why we say deep scenarios across industries are AI's new future is that these scenarios can provide AI with a continuous stream of data capabilities, aiding its more comprehensive development and evolution. Without exaggeration, future AI evolution towards perfection will inevitably require the support of massive scenarios across industries.

AI needs to construct a complete business ecosystem

Current AI can be described as flourishing with diverse ideas and approaches. However, we must also recognize that current AI is often incubated by giant players or relies on capital infusion for development. Admittedly, this is an inevitable stage in AI's development, as only by going through this stage can AI gain an early advantage.

As AI gradually matures, especially when it begins to have more connections with scenarios, relying solely on external support will not only fail to sustain AI's development and evolution but may even lead it into new dilemmas. At this point, finding new ways to achieve self-sufficiency and constructing a complete business ecosystem become crucial issues that every player must consider. It is against this backdrop that we see more and more players focusing on deep scenarios across industries.

From this perspective, deep scenarios across industries have become the breeding ground for new AI business models. For AI, only by immersing itself in deep scenarios across industries can it truly create its own business ecosystem, break free from the capital-dependent development model, and embark on a complete and sustainable development path.

Therefore, deep scenarios across industries are the new future for AI players. For players, finding a complete business ecosystem through deep integration with various industries and breaking free from external support to achieve development is the key to advancing to a new stage.

Scenarios are the stage where AI can exert its maximum effectiveness

For AI to truly exert its maximum effectiveness, merely focusing on AI itself is insufficient. The many impressive capabilities of AI are demonstrated in different scenarios. From this perspective, deep scenarios across industries are actually the stage where AI can exert its maximum efficiency. For AI players, only by truly rooting themselves in deep scenarios across industries can they maximize their effectiveness.

Essentially, AI shares similarities with big data, cloud computing, and blockchain. They are all relatively foundational new infrastructures that can only truly advance to a new stage by supporting deep scenarios across industries and establishing diverse new applications.

From this perspective, deep scenarios across industries provide AI with a nurturing ground and testing field for its future development. Only by applying AI to a vast array of scenarios can its functions and effectiveness be fully realized. Otherwise, AI would remain just an independent technology, existing only in laboratories, without the opportunity to exert its maximum effectiveness by helping upstream industries thrive. This is one important reason why we say deep scenarios across industries are the new future for AI players.

When AI is placed on the vibrant stage of various industries, it can create more beautiful symphonies and truly unleash its greater brilliance. Only by establishing a deep connection between AI and deep scenarios across industries can its development truly break free from past dilemmas and enter a new stage.

Conclusion

Current AI is beginning to move beyond its early immaturity and enter a relatively mature development stage. At this stage, deeply rooting itself in deep scenarios across industries and continuously seeking new development opportunities through deep integration with industries are crucial issues that every AI player must consider. For AI, this is the inevitable path to maturity. Only by following this path can AI truly mature and form a new generation.