Reasoning
The increasing adoption of AI models and the ongoing push for democratizing access to advanced technology suggest that providers may indeed characterize the inference market in terms of "deflationary" or "commoditizing" trends by 2026. For instance, the rapid growth of open-source models and competition in the AI sector, as seen with the rise of Meta's LLaMA and Google's Gemini, aligns with a trend of reducing costs and increasing accessibility. However, there are still institutional barriers and proprietary advantages that might delay or hinder this trend.Key uncertainty
The regulatory landscape surrounding AI and intellectual property could potentially strain market competition and alter the dynamics of pricing and availability in the inference market.