^{Photo: South China Morning Post}

The global artificial intelligence race is entering a new phase where performance alone is no longer the deciding factor. As competition intensifies across both Western and Chinese markets, companies are increasingly focusing on pricing, scalability, and real-world applications. SenseTime, a Hong Kong-listed AI firm operating under U.S. sanctions, is positioning itself around a clear strategy: delivering lower-cost models that can capture market share even if they fall short of the most advanced systems.

China’s AI landscape has become highly competitive in recent months. Major players such as DeepSeek, Moonshot AI, Alibaba, and Xiaomi have all launched new models in rapid succession, driving innovation while intensifying pressure on margins. This surge reflects both the scale of opportunity and the urgency companies face to secure users and establish monetization pathways in a crowded market.

SenseTime, founded in 2014 and originally known for its computer vision and facial recognition technology, has undergone a significant transformation. The company is now focused on generative and multimodal AI, developing systems capable of processing text, images, and audio within a single architecture. Its latest model, SenseNova U1, is designed to improve efficiency by eliminating the need to convert between different data types, reducing both latency and computational cost.

A central pillar of SenseTime’s strategy is cost leadership. According to the company, its new model can deliver comparable functionality for many use cases at a fraction of the cost of leading global systems. In some scenarios, the platform is estimated to be up to ten times cheaper than competing tools, making it attractive for enterprise clients and developers who prioritize affordability over cutting-edge performance.

This approach reflects a broader shift in the AI industry. While flagship models from companies like OpenAI and Google continue to push technical boundaries, many users do not require top-tier capabilities for everyday applications. Tasks such as content generation, basic automation, and customer support can often be handled by more efficient, lower-cost systems, creating a large addressable market for companies like SenseTime.

The competitive dynamics within China differ from those in global markets. Domestic players are competing not only on technology but also on integration with existing platforms. Companies such as Alibaba, Tencent, and ByteDance have significant advantages due to their vast user bases, strong cash flows, and established ecosystems. These firms can embed AI into e-commerce, social media, and cloud services, allowing them to scale rapidly while subsidizing development costs.

In contrast, standalone AI firms face a more challenging path. High research and development expenses, coupled with rising computing costs, make it difficult to achieve profitability. SenseTime has taken steps to address this by combining infrastructure, models, and applications into a unified offering, targeting enterprise clients who value reliability and are less likely to switch providers frequently.

Financially, the company is showing early signs of improvement. SenseTime reduced its net loss by nearly 60 percent over the past year and reported positive EBITDA in the second half for the first time since going public. This indicates progress toward sustainability, although long-term profitability will depend on its ability to scale adoption and maintain cost efficiency.

Pricing strategies across the AI sector are becoming increasingly diverse. Some companies are aggressively cutting prices to attract users and build market share, while others are beginning to raise prices as they move toward commercialization. Cloud providers, including Alibaba and Baidu, have increased pricing for AI computing services amid surging demand, highlighting the growing importance of infrastructure in the value chain.

The industry faces a fundamental challenge: balancing rapid growth with financial sustainability. Training and deploying large-scale AI models require significant capital investment, and companies cannot indefinitely subsidize usage. As a result, many firms are following a familiar playbook—absorbing short-term losses to capture market share, with the expectation of monetizing users later through subscriptions, enterprise contracts, or premium features.

Beyond China, SenseTime is actively expanding into international markets despite geopolitical constraints. The company is focusing on regions such as Southeast Asia, the Middle East, and Latin America, where demand for cost-effective AI solutions is rising. While geopolitical tensions and export restrictions present operational challenges, these markets offer opportunities for growth with less direct competition from U.S.-based firms.

The broader takeaway is that the AI race is no longer solely about building the most powerful model. Success increasingly depends on delivering practical value at scale, managing costs, and integrating AI into real-world applications. In this environment, companies that can combine efficiency with usability may have a significant advantage.

SenseTime’s strategy highlights this shift. By prioritizing affordability and targeting enterprise use cases, the company is betting that in a market driven by adoption and economics, being the most accessible option can be just as important as being the most advanced.