Open-Weight Models Reshape AI Power

The model layer is becoming more competitive, distributed, and politically consequential—but access to compute still determines who can turn open weights into real products.

• –Open-weight models give developers control over deployment, customization, privacy, and data residency
• –Chinese models such as DeepSeek, Qwen, and Kimi are making frontier-adjacent capability available at lower cost
• –Governments increasingly view AI models, chips, energy, and data centers as strategic infrastructure
• –Capital is funding an enormous compute race even as cheaper models challenge the economic case for endless scaling
• –Developers should evaluate licensing, hardware requirements, inference costs, and geopolitical risk—not benchmarks alone