Why do you believe specialized open-source artificial intelligence models will eventually dominate enterprise inference workloads?

While closed frontier foundation models capture headlines with massive parameter counts, production enterprise deployments demand predictability, low latency, and absolute data sovereignty. A specialized seven-billion or fourteen-billion parameter fine-tuned model running on dedicated serverless infrastructure frequently outperforms a generalized monolithic model while operating at a fraction of the computational expense. Over time, enterprise value migrates toward domain-specific inference rather than generalized reasoning.