Reasoning
Major hyperscalers (AWS, Google Cloud, Microsoft Azure) have already begun cautiously endorsing open-source models—Google explicitly recommends Gemma for production use cases, and AWS offers SageMaker support for open models like Llama 2. The trend toward open-source adoption is accelerating due to cost pressures (open models reduce inference costs by 60-80% vs proprietary APIs), vendor lock-in concerns from enterprise customers, and competitive dynamics forcing transparency. By 2026, with 18+ months of additional maturation in open model performance and safety, explicit production recommendations will likely formalize current de facto endorsements as these companies balance proprietary model margins against market share defense.Key uncertainty
Whether regulatory changes (EU AI Act, potential US legislation) requiring transparency/auditability could actually accelerate or decelerate hyperscaler open-source recommendations depending on compliance interpretations—this could shift the outcome by ±15 percentage points.