The honest truth is that offshore rates really are 40-70% lower and the savings really do evaporate in most engagements, because the classic outsourcing model pays a coordination tax, handoffs, time zones, knowledge that never lands in your team, that quietly consumes the arbitrage. Both camps in this debate are right about their half. The interesting question is which delivery model keeps the savings, and the answer is embedding individual senior engineers into your team rather than shipping specs to a vendor's team.
The honest ledger
| Model | Sticker savings | What eats it | Net result |
|---|---|---|---|
| Classic outsourcing (vendor team + specs) | 50-70% | Spec writing, handoffs, rework, vendor lock-in | Often near zero, sometimes negative |
| Freelance marketplace | 50-70% | Vetting lottery, churn, no ownership | High variance, unmanageable for core AI work |
| Embedded offshore engineers | 40-60% | Onboarding effort, overlap discipline | Most of the savings survive |
Anatomy of the coordination tax
- Specs replace conversation: for AI work, where requirements emerge from iteration on evals and outputs, this is fatal. You can't spec your way to a good prompt pipeline.
- Zero-overlap time zones turn every question into a 24-hour round trip; ten of those is two lost weeks.
- Knowledge accrues at the vendor: when the contract ends, your system's understanding walks out the door.
- Quality is judged at delivery instead of at review, so problems surface months late, at maximum cost.
What actually works
- 1Embed individuals, not teams: engineers in your repo, your standup, your code review, under your direction.
- 2Insist on 3-4 hours of real daily overlap, Eastern Europe and LatAm pair naturally with EU and US time zones.
- 3Vet like a local hire: shipped AI systems, live technical screen, reference checks. Rate does not excuse rigor.
- 4Keep ownership in-house: your architecture, your evals, your docs. Embedded engineers add capacity; they don't take custody.
