AI Talent Strategy: Build, Buy, or Partner?
You need AI capability. Here's how to think about where it should come from.
The talent gap
AI talent is expensive and scarce. The question isn't whether you need AI capability—it's how to get it without breaking the bank or stalling for years.
Build: Growing internal capability
When it makes sense:
- AI is core to your competitive strategy
- You need deep integration with proprietary systems
- You're committed to long-term AI investment
The reality:
- Takes 2-3 years to build meaningful capability
- Requires significant investment in hiring and retention
- Competes with tech companies for talent
Buy: Acquiring AI teams
When it makes sense:
- You need capability fast
- A target company has exactly what you need
- Cultural fit seems achievable
The reality:
- Acquired teams often leave within 18 months
- Integration is harder than expected
- Often more expensive than building
Partner: Working with external experts
When it makes sense:
- Exploring AI without long-term commitment
- Need specialized expertise for specific projects
- Want to move fast while building internal capability
The reality:
- Knowledge transfer is challenging
- Dependency risk if relationship ends
- Can be cost-effective for project-based work
The hybrid approach
Most successful organizations do all three:
- Build a small core team focused on AI strategy and coordination
- Partner with specialists for implementation
- Acquire strategically when unique capability appears
The core team's job isn't to build everything—it's to make sure AI capability is deployed effectively, whether internal or external.
Upskilling existing employees
Don't overlook your current workforce. Domain experts who learn AI basics are often more valuable than AI experts who don't understand your business.
Build vs Buy in AI: A Framework for Decision Making
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AI Strategy Starts with Questions, Not Answers
Before you can build an AI strategy, you need to know what questions to ask. Here are the five that matter most.
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