Cloud AI platforms like OpenAI, Anthropic, and Google Gemini offer convenience, scale, and access to the most advanced models available. For many businesses, especially those without highly sensitive data concerns, cloud AI is the simpler and faster path to adopting AI.
Cloud AI tends to make sense when: your data is not highly sensitive, you need access to the most cutting-edge model capabilities, your usage will scale up and down unpredictably, or you do not want to manage any local infrastructure.
Local AI tends to make more sense when: you handle sensitive documents (medical, legal, financial), you want predictable long-term costs instead of variable subscription fees, or your organization operates in environments with limited or unreliable internet access.
The honest answer for most organizations is a hybrid: some tasks handled locally, others in the cloud. Part of an AI consultation is figuring out which is which for your specific business.
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