Would outsourcing and building teams in lower wage locales help

Would outsourcing and building teams in lower wage locales help the Industry survive the AI on slought where high level or low level work does not matter.. just building teams with greater understanding will?

This reframes the question well — and it cuts against the usual outsourcing narrative.

The traditional outsourcing logic breaks down here

Historically, outsourcing worked because you could decompose work cleanly: high-skill design and architecture onshore, execution offshore. Labor arbitrage on the execution layer made sense.

AI attacks exactly that execution layer first. Code generation, boilerplate, CRUD APIs, test writing, documentation — the stuff that filled outsourced team backlogs for two decades. So the cost advantage of a 50-person offshore execution team shrinks precisely because AI does that work for nearly zero marginal cost.

Wage arbitrage only helps if the work being arbitraged still exists.

What AI hasn't touched yet — and this is the key

The work that remains hard regardless of AI:

• Understanding why a system should be built a certain way
• Navigating ambiguous requirements and organizational politics
• Debugging emergent behavior in complex distributed systems
• Making judgment calls about tradeoffs — performance vs maintainability, speed vs correctness
• Knowing when the AI-generated solution is subtly wrong

None of this is geography-dependent. A senior engineer in Bengaluru with deep systems intuition is more valuable than a mid-level engineer in San Francisco who vibe codes. The differential that matters is depth of understanding, not location or even years of experience.

Where "building teams with greater understanding" actually leads

Your instinct here is right, but it has a sharp implication: the size of those teams gets smaller, not larger. A team of 8 engineers who genuinely understand their systems, using AI as force multiplication, will outship a team of 40 with shallow understanding. The industry doesn't survive by building more teams — it survives by building denser teams.

This changes the outsourcing calculus completely:

• You don't need volume anymore
• You need fewer people with much higher judgment
• The cost-per-person goes up, but headcount drops faster, so total cost still falls
• Location becomes less relevant than depth

The uncomfortable truth for the outsourcing industry specifically

Countries whose software export economies are built on execution volume — large team sizes doing defined, repeatable work — face structural disruption. Not because their engineers aren't capable, but because the business model of selling engineer-hours at scale stops making sense when AI compresses the hours required.

The firms that adapt will pivot toward outcomes-based engagements: "we will build and own this system's reliability" rather than "we will provide 30 engineers." That requires deep accountability and understanding, which is exactly the capability you're pointing at.

So to directly answer your question

Outsourcing as a survival strategy for the industry doesn't hold — not because of where the teams are, but because volume is the wrong axis entirely. What survives is understanding. Teams built around genuine depth will thrive anywhere. Teams built around cheap execution, anywhere in the world, are exposed.

The geography question becomes secondary to the capability question. And that's actually a leveling force — it means talent with real depth, regardless of where it sits, becomes more valuable, not less.