AI generation costs fell 95% worldwide between 2024 and 2026, dropping from several hundred dollars per minute to single digits, according to Cuty AI data. Rezolve AI processed 51 billion API calls in 2025 while scaling to over 650 enterprise clients globally, projecting $500M annual recurring revenue by 2026 despite a market cap under $1 billion.
Four platforms are dominating the consolidating global market: Google Veo 3.1, OpenAI, DeepSeek, and Anthropic. Microsoft Foundry now supports multiple large language models including GPT-5.2 and Claude 4.5, signaling that enterprise infrastructure providers worldwide are prioritizing multi-platform integration over exclusive partnerships.
Production work that required 50-100 person teams now needs fewer than 10, reshaping enterprise operations across regions. Thomson Reuters' CoCounsel reached 1 million users in legal services globally, while Atlassian Intelligence integrated into collaboration tools and content platforms like Nado Pro and Cuty AI launched end-to-end production suites.
Competition is shifting from capability battles to pricing models and ecosystem depth. Enterprises in North America, Europe, and Asia are standardizing on platforms offering predictable pricing, reliable uptime, and integration with existing software stacks rather than chasing marginal capability improvements.
Market consolidation around four major platforms suggests that economies of scale in model training and infrastructure have created global barriers to new entrants. Companies like Rezolve AI are building on top of these platforms rather than developing proprietary models, indicating value creation is moving up the stack to application and integration layers.
The 95% cost reduction compressed a typical technology adoption curve that normally spans 10-15 years into less than two years. Enterprise deployments that were economically impossible in 2024 became standard practice globally by 2026.