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As AI transitions from its initial low-cost phase, businesses must adapt to increasing expenses. Discover strategies for cost optimization, hybrid model adoption, and the potential market shifts ahead for sustainable AI integration.
Discover how to configure Claude Code to use local or third-party AI models like DeepSeek, Qwen, or Gemini. Learn about easy environment variable setups, performance considerations, and useful tips for validation and cost savings.
Explore expert predictions on how the AI landscape will evolve after a potential bubble burst, focusing on adaptation, cost changes, consolidation, and the rise of local models. Discover what a more mature, value-driven AI future might look like for businesses and users.
