What does engineering hiring look like in an AI-driven world?
Here’s the counterintuitive part:
• More software will be built than ever before
• With fewer engineers
• And demand for senior talent will rise sharply
AI is collapsing the cost of building software. When experimentation gets cheaper and faster, ambition expands. Companies ship more products, iterate more aggressively, and take more bets.
In that world, execution gets commoditized.
Judgment doesn’t.
Andrew Ng puts it simply: “AI will make many jobs more productive. The highest gains will be for those who know how to use it well.”
That advantage disproportionately belongs to senior engineers: the ones who design systems, make architectural tradeoffs, own outcomes, and know how to turn tools into products.
Thomas Dohmke reinforces the point: “The companies that are the smartest are going to hire more developers. If you 10x a single developer, then 10 developers can do 100x.”
AI does not flatten teams.
It amplifies them.
And it widens the gap between average output and exceptional output.
At the same time, a few things are now settled:
• Remote work is the default for mid-size tech companies
• Geography-first hiring is increasingly a liability
• Recruiting tools will evolve, but judgment remains the bottleneck
• Compliance, real credentials, and transparency are table stakes
In this context, Latin America is no longer an alternative sourcing option. It is becoming a core component of U.S. engineering strategies.
Senior talent depth, time-zone alignment, cultural compatibility, and growing operational maturity are reshaping the landscape.
And the economics are clear: 40–60% cost differences vs. U.S. benchmarks, without sacrificing quality.
So how should companies think about engineering hiring in 2026? By treating Latin America as part of the baseline, not the exception.
Latin America will become the # 1 nearshore hub for U.S. engineering teams in the next 3 years. (Possibly earlier).