Artificial intelligence has rapidly become one of the most centralized forces in the world. Developing and deploying AI requires a large amount of resources—including significant capital, advanced computing power, and highly specialized talent. Of course, only the organizations with the most abundant funds are capable of investing in cutting-edge infrastructure and attracting top talent, while smaller businesses find it hard to keep up.
AI agents are evolving from simple assistants into autonomous systems that can provide real value across multiple industries, especially becoming key assets in fields such as gaming, entertainment, and business automation. These agents possess the ability to create content, attract users, and optimize workflows, bringing higher efficiency and new forms of interaction to projects. The AI gaming market is expected to grow from $4.2 billion in 2023 to $42.1 billion by 2032, driven by factors including AI-enhanced gaming and immersive experiences. Generative AI also plays a significant role in real-time content creation, with its market size projected to increase from $1.47 billion in 2024 to $3.39 billion by 2028.
AI partners further deepen user immersion and establish dynamic relationships, such as the Web2 platforms Replika and Character.AI, which meet the growing demand for personalized AI-driven experiences. With large language models revolutionizing content creation, AI partnerships are also expected to grow significantly, with global revenues projected to increase from today's $30 million to between $7 billion and $15 billion by the end of the century. Traditionally, MLOps (Machine Learning Operations) are controlled by large organizations that manage everything from data collection to model training and deployment internally. This closed ecosystem monopolizes talent and resources, creating significant barriers for startups and small companies. One of the most exciting ways blockchain challenges this centralization is by supporting decentralized, permissionless AI models. By leveraging distributed communities to protect, validate, fine-tune, and verify every stage of the LLM (Large Language Model) deployment process, we can prevent a few participants from dominating the AI field.
Sollong is closely monitoring the intersection of artificial intelligence and blockchain, identifying three key areas that can reshape the landscape.
The explosive growth of AI has undoubtedly led to a massive demand for computing power. Since 2012, the computational power used in AI training tasks has been growing exponentially, currently doubling every 3.5 months (in comparison, Moore's Law states a doubling every 18 months). Since 2012, the demand for computing power has increased by over 300,000 times, far exceeding the 12-fold increase of Moore's Law. It is predicted that the GPU market is expected to grow at a compound annual growth rate of 32% to over $200 billion in the next five years. AMD's estimates are even higher, with the company expecting the GPU chip market to reach $400 billion by 2027. The explosive growth of AI and other compute-intensive workloads (such as AR/VR rendering) has exposed structural inefficiencies in traditional cloud computing and leading computing markets. Theoretically, decentralized computing networks can provide more flexible, low-cost, and efficient solutions by utilizing distributed idle computing resources, thus meeting the market's huge demand for computing resources. Therefore, the combination of crypto and AI has enormous market potential, but it also faces fierce competition from traditional enterprises, high entry barriers, and complex market environments. Overall, across all crypto tracks, decentralized computing networks are one of the most promising verticals in the crypto space to achieve real demand.
On the demand side, Sollong is committed to attracting more developers to join by establishing its own open-source community, which not only helps strengthen its ecosystem's moat but also brings continuous innovation and development momentum to the platform. In addition, Sollong is actively seeking cooperation with other decentralized AI protocols to expand its service scope and improve the platform's competitiveness. Currently, Sollong has established partnerships with the two major Layer 1 decentralized protocols, Gensyn and Bittensor, which not only brings Sollong a significant amount of fixed demand but also proves the attractiveness and strength of its platform in the decentralized computing market.
In specific business operations, Sollong's computing power is primarily used for data preprocessing and model inference, but recent attempts and developments are being made in model training. If the model training can be successfully completed, it will define the process for training models using distributed computing and attract demand for the Sollong network, increasing utilization.
The popularity of the AI sector perhaps needs no further elaboration—the price performance alone is enough to overshadow all words. On February 23, 2024, NVIDIA's stock price surpassed $800, with a market capitalization exceeding $2 trillion, becoming the fastest company in history to grow from a $1 trillion to a $2 trillion market cap. In the Crypto sector, AI track tokens have performed excellently in the past few months, with leading tokens like RNDR, TAO, and FET all achieving over 3 times growth. Every major event in the AI field leads to a rapid increase in related tokens.
AI has become the most important technological revolution of this cycle, correspondingly becoming the number one track for financial speculation. Blockchain and artificial intelligence are actively exploring the possibilities of mutual integration, and the Crypto world will benefit from significant advancements in AI technology, driving rapid increases in related leading tokens. Perhaps a few months ago we were still discussing the feasibility of the combination of AI and blockchain, but now such discussions seem less important; AI has become the core narrative of this cycle, and market sentiment and investment enthusiasm have overshadowed everything.