Enterprises are increasingly opting for small AI models instead of massive language models due to advantages in speed, cost, and efficiency. Small models, which require less infrastructure and offer better data security, are viewed as practical solutions for organizations still developing their AI strategies. However, they may lack the sophistication of larger models, necessitating careful selection for specific tasks. Major tech companies are also exploring lightweight models, recognizing their potential benefits.