Currently, AI technologies are undergoing continuous refinement and enhancement. Initially, AI large models were limited to basic text creation and video generation tasks. Nowadays, a multitude of AI developers are harnessing these models to craft professional novels and films. As AI capabilities evolve, they are anticipated to penetrate even more specialized sectors and industries.

This trend signifies that the AI sector is moving beyond merely conceptualizing large models for future applications and is now prioritizing the practical deployment and utilization of AI. For any entity seeking to excel in this new era, the continuous enhancement of AI capabilities, especially in specialized fields, is paramount for gaining a competitive edge.

The proliferation of specialized AI applications is driving a profound industrial transformation. Once completed, this transformation will revolutionize the internal dynamics, operational mechanisms, and product offerings within various industries. Only by continually advancing their AI technological prowess and ecosystem development can organizations successfully transition from the Internet era to the AI era and capitalize on its developmental opportunities.

So, what are the prevailing trends and characteristics of AI development?

AI Capabilities Are Expanding

As previously discussed, AI was initially confined to simple, routine tasks in non-professional contexts. During this phase, AI represented a basic transition from Internet to AI capabilities. The emergence of large models and the ensuing "thousand-model war" have made basic AI capabilities insufficient for meeting the demands of specialized industries and scenarios.

Consequently, enriching and perfecting AI capabilities, particularly in professional domains, has become crucial for success in the competitive AI landscape. This has led to the development of AI models capable of writing novels and generating professional film and video content, illustrating the continuous evolution of AI capabilities.

For entities aiming to make a significant impact at this stage, expanding AI capabilities, especially in specialized areas, is key to thriving in this new phase. Continuously enhancing AI capabilities will also enable its deployment across more industries and scenarios, driving comprehensive industry changes. This is where the true challenge lies for AI developers and where competitive gaps emerge.

The AI Ecosystem Is Flourishing

Ultimately, the competition in AI is an ecosystem battle. Only by creating a rich and complete AI ecosystem can developers meet the diverse needs of users. While the universality of AI sets the lower bound of an ecosystem, its professionalism defines the upper bound. As developers venture into more professional and challenging scenarios, the AI ecosystem continues to enrich.

Whether through the introduction of new AI applications, the expansion of AI's reach, or the transformation of industries and scenarios, the AI ecosystem has evolved from a single bloom to a vibrant garden. The AI applications and content we see are efforts to build a comprehensive ecosystem where AI serves as a bridge connecting different entities.

For entities aiming to excel in this new phase, continuously improving and enriching their AI ecosystem, encompassing content, industry, and other aspects, is crucial for competing in the era of limited growth. The richness and completeness of the AI ecosystem directly determine the amount of user attention and are vital for success in this new competition.

Just as an ecosystem was built around the "Internet," constructing one around "AI" and gathering as much user attention and industry presence as possible is key to thriving in the new AI cycle. Otherwise, the market landscape will undergo a comprehensive reshuffling in the new competition for user attention.

The AI Path Is Becoming Clearer

In this new AI evolution, many mistakenly view it as a mere replication of the Internet. However, this overlooks the unique operational path of AI and merely extends Internet thinking. As AI is deployed in more industries and scenarios, driving new transformations, its path becomes increasingly clear.

If the Internet's path is seen as outside-in, then AI's path represents an inside-out approach. AI drives profound changes in the supply side by penetrating and transforming different industries, thereby regaining user favor. For any entity, only by continuously finding ways to transform industries using AI and bringing about comprehensive changes can they achieve long-term development.

Conversely, if AI is merely used as a gimmick or marketing tool without truly transforming industries, entities will fail to grasp the AI era's operational path. The focus on AI's industry transformation and supply-side reshaping reflects a recognition of AI's unique path. For entities aiming to excel, only by continuously using AI to transform industries and connect with the consumer end (C-end) can they truly succeed in this era.

This is why many entities are enhancing their AI capabilities and building AI ecosystems. Ultimately, they aim to create a new AI path that connects with both the business end (B-end) and the C-end, achieving a new balance.

In Conclusion

AI has evolved from simple semantic chatting to professional novel and film creation. This evolution reflects both the continuous improvement of AI capabilities and the vigorous construction of an AI ecosystem. Ultimately, AI is forging its own new path, one that starts with industry transformation and ends with user acquisition, attempting to establish a new supply-demand balance. As the AI era progresses, this path will become clearer. For every entity, truly developing along this path is the key to excelling in the AI era.