Post by Ritikesh Choube
Senior AI Engineer | LangGraph · CrewAI · Google ADK · MCP | Multi-Agent Systems & RAG in Production | Tech Lead
Mary Meeker’s much-awaited 336-page AI Trends Report 2025 signals that AI is not just a technology shift but the new foundation of the global economy. AI adoption is unprecedented -> platforms like ChatGPT scaled faster than any prior breakthrough, including the insta and Facebook. Capital expenditure is surging -> Big Tech invested more than $212B in 2024 (a 63% YoY jump) primarily into AI infrastructure. Workforce and talent remain decisive -> success in AI depends not just on compute power, but on attracting and retaining the world’s best developers. And the Most Eye catching point • Training cost: The compute and spending required to train frontier AI models (e.g, GPT-4, Gemini, Claude) has gone up massively by some estimates ~2,400× more than 8 years ago. • Inference cost: On the other hand, the cost of running models (per query/output) has dropped as much as 99% thanks to optimizations, efficient architectures, and hardware scaling. #genai #data #Ai