Peter Gostev

The AI industry is shifting focus from the smartest models to cost efficiency, prioritizing 'intelligence per dollar' as many models become sufficient for business tasks. Companies like Amazon are optimizing expenses by using less-powerful but cheaper AI for routine tasks while reserving pricier models for complex needs. Experts highlight factors like reliability, cost structure, and reusability to evaluate AI models based on value.

The article highlights a growing AI class divide in the U.S., where power users leverage advanced AI models for complex tasks like coding and research, while most Americans experience AI through basic tools like search bars and chatbots. This divide raises concerns about economic inequality, trust, and understanding of AI, with models like OpenAI's Sol and Anthropic's Fable symbolizing elite access and capabilities.