Build AI vs. Buy AI
Custom Models vs. AI-as-a-Service
Building custom AI gives you unique capability but costs 10x more. Buying AI SaaS gets you to market faster but commoditizes your advantage.
📊 Scoring Matrix
6-18 months
1-4 weeks
500K-5M first year
1K-50K/mo subscription
Unique competitive moat
Same as competitors
ML engineers, data scientists
API integration skills
Full ownership and privacy
Vendor processes your data
Ongoing model ops burden
Vendor handles updates
📋 Executive Summary
Buy first to validate the use case. Build only when AI becomes your core competitive advantage.
Building custom AI when an API would suffice wastes 500K-2M and 12+ months of engineering time.
🎯 Decision Framework
- ✓ AI is core product differentiator
- ✓ Proprietary data advantage
- ✓ Regulatory data control needs
- ✓ Performance requirements exceed SaaS
- ✓ Validating AI use cases
- ✓ Time-to-market priority
- ✓ Limited ML talent
- ✓ Standard AI capabilities needed
Is AI your product differentiator? Build. Is AI a feature of your product? Buy. Most companies should buy first.
🌐 Market Context
Enterprise AI SaaS market growing 40% YoY. Custom model development costs declining but still 10x SaaS pricing.
75% of enterprises using AI SaaS (2025). Custom AI reserved for companies where AI IS the product.
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