Building vs Buying AI: The True Cost Comparison
Michael Deeming
A comprehensive analysis of the real costs involved in custom AI development versus procurement.
The decision to build custom AI solutions or buy existing products is one of the most consequential choices organisations make. Getting it wrong can waste years and millions. A clear framework for evaluation helps.
The Build vs Buy Framework
1. Strategic Importance
| If AI Is... | Consider... | Because... |
|---|---|---|
| Core differentiator | Building | Unique capabilities create advantage |
| Supporting function | Buying | Focus resources on core business |
| Competitive necessity | Either | Speed vs. customisation trade-off |
2. Internal Capabilities
Assess your capabilities honestly. Building AI requires significant expertise:
- Data science and ML engineering
- Infrastructure and DevOps
- Product management for AI
- Ongoing support and maintenance
If you don't have the talent—and can't attract it—buying may be your only realistic option.
3. Total Cost of Ownership
Building costs extend far beyond development:
- Initial development effort
- Infrastructure and tooling
- Ongoing maintenance and updates
- Talent retention
- Opportunity cost of internal resources
4. Market Availability
The commercial AI landscape has matured rapidly. Solutions that required custom development a few years ago may now be available off-the-shelf.
5. Time to Value
Building typically takes longer than buying. If speed matters, the time advantage of buying may outweigh other considerations.
The Hybrid Approach
You don't have to choose entirely one way or the other. Many organisations:
- Buy platforms and customise
- Build core components while purchasing supporting elements
- Start with bought solutions and build differentiating layers
- Use open-source foundations with custom extensions
Planning for the Future
Whatever you choose today, requirements will change. Evaluate flexibility and adaptability alongside current fit.
"There's no universally right answer. The best choice depends on your specific situation—strategy, capabilities, resources, and timeline. Make the decision that fits your context."