Implementing new technologies like advanced AI models into production requires companies to evaluate various factors including technological maturity, hardware capabilities, and commercial model spectrum. The uncertainty lies in whether the technology will be feasible in the long run, depending on the commercial models available. The evolution of commercial models, such as the emergence of smaller yet powerful models like Lama 3 with 8 billion parameters performing almost equally well as larger models like Lama 2 with 70 billion parameters, indicates a positive trend. The expectation is that commercial models will continue to expand in both directions; larger models will grow in size while smaller models relevant for commercial use will become more efficient. This evolution enables companies to harness the capabilities of advanced models on the cloud, ensuring optimal performance and energy efficiency over time.