Small AI Models Gain Traction Around the World

IEEE Spectrum AI · 1 week ago

Small AI models that run on low-power devices without internet connections are gaining adoption in developing countries for applications like counterfeit drug detection, crop disease identification, and malaria mosquito detection, with advocates arguing they are more sustainable and accessible than large language models. By the end of 2026, more than half of all smartphones worldwide will be capable of running small AI models, driven by improvements in hardware and the release of open-weight models like Google DeepMind's Gemma 4 and Alibaba's Qwen 3.5. The shift toward small AI deployment could reach millions of people without access to data centers or reliable electricity, though long-term success depends on countries investing in supporting infrastructure like power grids and digital supply chains.