The Hidden Costs of AI: What You're Not Accounting For

API costs are only 30% of AI spending. Here are the 10 hidden costs that add up to $50K+/year you're not tracking.

Visible Costs

API calls to OpenAI/Anthropic: ~$1K-10K/month.

Hidden Costs

• Infrastructure (servers, databases): $500-5K/month
• Prompt engineer (salary): $80K-150K/year
• DevOps/ML Ops: $50K-100K/year
• Monitoring & tooling (Weights & Biases, etc.): $100-1K/month
• Iteration & optimization time: 20% of eng time
• Data prep & quality control: 15% of total cost
• Compliance & security: Varies by industry
• Vendor lock-in costs: Future switching expenses

Real Example

Startup thinks: 'AI costs $3K/month.' Actual: API $3K + Eng salary $7K + Infrastructure $1K + Tools $200 = $11K/month. ~4x higher.

How to Control Costs

• Track all costs (not just API)
• Set monthly budgets per feature
• Optimize prompts (reduce token usage)
• Use cheaper models where possible
• Implement cost governance