"Industry experts predict a shift where 80% of AI workloads move to cheaper, smaller models. Companies are increasingly prioritizing cost-efficiency over 'IQ maxing' with the largest models. Initial tests, such as those by Harvey, demonstrate that smaller models can maintain quality while significantly reducing inference costs."