So… # AI (in the current # agentic LLM based bs phase) costs more than people Uses more water than people Uses more energy than people Causes vendor lock in and
The current phase of AI development, particularly agentic LLMs, is criticized for its high costs in terms of money, water, and energy usage. It also introduces risks like vendor lock-in, regulatory challenges, and system vulnerabilities, while demanding significant data quality and processes. Despite these drawbacks, AI is often prioritized as a business objective without a clear return on investment, and still requires human accountability. AI
IMPACT Raises critical questions about the current AI development trajectory and its business justification.