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When AI Becomes Too Expensive

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When AI Becomes Too Expensive

AI agents are not as beautiful as the marketing hype. Many companies already slowing down or stopping because token, GPU, cloud and maintenance costs become too high.

The real mistake is using LLM for everything. Simple tasks should run through parsers, rule-based automation or detached systems, while AI is only used when really needed.

Artificial Intelligence

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BioResearch Microbiology & cancer disease research intelligence 6 inputs → traceable research priorities Explore →
Edge AI IoT & embedded Linux intelligence at the edge 14 edge agents → offline-capable Explore →
SmartCity AI-powered smart city infrastructure & operations 24 domains → one intelligent operating layer Explore →
IC DesignOps Repeatability, traceability & verification intelligence 21 detached services → 85% without LLM Explore →
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