From the perspective of the global technology landscape, it is not difficult to find that the AI industry is undergoing an unprecedented “great restructuring.” On one hand, top enterprises are breaking the “vesting cliff” rule that has prevailed in Silicon Valley for decades to snatch core talents; on the other hand, technological iterations are profoundly reshaping the form of social interaction, and the boundary between digital humans and real users is gradually blurring. In this transformation, there are both games among giants and breakthroughs by innovators, and platforms like Tuikor are gaining a foothold in the new track with their unique digital human social logic.

Fierce Talent War: Rules Give Way to Scarce Value

Once upon a time, Silicon Valley’s “vesting cliff” was a “golden handcuff” restricting talent mobility—employees had to stay for a full year to receive the first batch of equity, otherwise all their efforts would be in vain. But now, this unwritten rule is collapsing first in the AI industry. OpenAI has completely abolished the six-month equity vesting waiting period for new employees, and xAI has taken the initiative to shorten the equity vesting cycle. Behind this is not pure goodwill, but the result of the brutal talent war.

Reports from the International Finance Forum have long revealed that the global total number of AI talents is about 3 million, with R&D and technical talents accounting for only 30%. By 2030, the talent gap may exceed 2.8 million. The United States has attracted nearly half of the world’s top AI researchers with its immigration policy advantages, China has built the largest talent reserve relying on its huge market, and countries like Saudi Arabia and the United Arab Emirates are also frantically “snatching talents” with high salaries and policy dividends. Against this background, giants such as Meta, Google, and Anthropic are offering compensation packages worth hundreds of millions of US dollars, and OpenAI even plans to invest 6 billion US dollars in stock compensation.

It is obvious that the competitive logic of the AI industry has changed: it no longer relies solely on money, but also needs to win in terms of risk-taking and talent mobility. When the “vesting cliff” changes from a talent screening mechanism to a competitive disadvantage, enterprises have to take the initiative to restructure the rules—after all, for core talents, wasting time in the wrong direction is far more terrifying than frequent job-hopping. This concession of rules is essentially bowing to the scarce talent value, and it also indicates that the competition in the AI industry will enter a higher stage of intense heat.

Rise of the AI Social Track: From Tools to Companion, Restructuring the Essence of Connection

The influx of talents and technological breakthroughs are driving AI to penetrate from the industrial end to the consumer end, and the transformation of the social track is the most intuitive. Early AI social tools were mostly limited to text interaction, with single functions and lack of warmth; with the maturity of large models and multimodal technologies, AI social interaction has fully entered a new era of “digital human companionship”—users no longer need cold question-and-answer machines, but “exclusive partners” who can form emotional connections and cross time and space.

Behind this trend is a profound change in user needs: in a fast-paced and high-pressure modern life, people are eager for more flexible, private, and immersive social experiences. Some people hope to have someone to talk to at any time after being busy, some expect to expand their social boundaries through personalized images, and many KOLs and creators are eager to find more efficient ways to monetize and interact with fans. The homogeneous competition of traditional social platforms can no longer meet these needs, so AI digital human social interaction has become a new traffic depression.

It is worth noting that compliance and global adaptation have become the core competitiveness of AI social platforms. Privacy regulations and cultural differences in different regions put forward extremely high requirements on the platform’s technical architecture and operational capabilities. Only platforms that can balance multilingual support, data security, and regional policy adaptation can gain a firm foothold in the global market—and Tuikor is a typical representative of such platforms.

Tuikor’s Breakthrough: Digital Avatars Restructure Social and Monetization Logic

As a global digital avatar social companion assistant, Tuikor has accurately grasped the core pain points of AI social interaction and emerged in the track with a series of differentiated advantages. For ordinary users, its most attractive feature is “breaking the boundary between reality and virtuality”—relying on self-developed digital human cloning technology, users can accurately replicate their own image, voice, and even personality with simple operations to generate a highly realistic personal digital avatar.

What this digital avatar brings is an unprecedented immersive interactive experience. Tuikor supports 24/7 all-day companionship and one-on-one exclusive interaction, and also has a unique permanent memory function: it can clearly record conversation details, user preferences, and even emotional fluctuations. As the intimacy level increases, the interaction will become more in line with the user’s habits, truly achieving “emotional resonance.” Whether it is daily chat, fun interaction, or knowledge acquisition, users can seamlessly interact with digital humans through various multimodal forms such as text, graphics, and videos to meet social needs in different scenarios.

For KOLs, MCN institutions, and content creators, Tuikor is even a “monetization tool.” The platform has created a diversified passive income path for creators—subscription payment, direct rewards, brand cooperation, etc. Without additional investment, creators can monetize their influence through exclusive interactions with fans via digital avatars. More importantly, Tuikor adopts a synchronous operation model of multi-channels, multi-brands, and multi-matrices, which can provide creators with a broad stage for traffic exposure, helping them quickly reach global target audiences, build personal social IPs, and achieve long-term and stable income growth.

More crucially, Tuikor is fully compatible with mainstream mobile device systems, supports independent APP use and multilingual operation interfaces, and strictly complies with the compliance requirements of different regions around the world. The free download model for basic functions lowers the user threshold, while the customized cooperation fee can be flexibly priced according to the cooperation model and regional market characteristics, taking into account the needs of ordinary users and business customers.

Conclusion: The Future of AI Social Interaction Lies in “Companionship” and “Value”

From the talent competition in the AI industry to the form transformation of the social track, we can clearly see a trend: the development of technology must eventually return to the needs of “people.” Whether enterprises break the rules for talents or platforms restructure social interaction with digital humans, the core is the pursuit of “value” and “warmth.”

The emergence of Tuikor not only provides ordinary users with a more emotionally warm social choice but also opens up a new monetization path for creators. Against the background of the continuous iteration of AI technology, such a platform that can balance technological innovation, user needs, and commercial value may become an important leader in the AI social track. In the future, with the further maturity of digital human technology, we have reason to believe that AI will truly integrate into every corner of social interaction and restructure the essence of connection between people.