White paper

How Nearshore Teams Are Using AI in 2026

What we learned interviewing engineers from Latin America who use AI daily and are already working for US-based clients in a nearshore staff augmentation services model.

65%of the workday is now AI-assisted on average.
4.3xself-reported productivity multiplier.
16 hrssaved per week per senior engineer.

Executive summary

AI creates output. Experience creates value.

Most engineering services are still bought the way they were before AI. Statements of work are scoped around headcount, pricing is tied to hourly rates, and team structures assume the same level of output as before. Underneath those contracts, everything has changed.

A senior engineer using a frontier model now ships in a day what used to take a week. Teams of ten can be teams of five. The skill that matters most is no longer “can you write the code?” but “can you design the solution and validate what the model produced?”

Writing code is no longer the competitive advantage. AI can already generate large amounts of code quickly. The teams creating real value are the ones that know how to architect creative solutions, review AI-generated output, and make strong technical decisions based on experience.

here’s what we found:

The new reality of nearshore IT services

Taken together, the findings describe an IT services market that has changed faster than the contracts running on top of it. Three implications follow.

01Smaller, more senior teams

Every respondent expects engineering teams to shrink. The marginal value of an additional junior has fallen sharply, while the marginal value of a senior who knows how to architect, prompt, and review has risen. Buyers should expect smaller team proposals; providers should resist the temptation to staff for headcount.

02The junior talent gap is a growing problem

The gap between what a senior engineer with AI produces and what a junior produces has widened dramatically. The cost differential has not. From the buyer’s perspective the rational decision is to hire seniors and skip juniors — with the industry-wide consequence of a missing generation of mid-level talent five years from now.

03Expertise is the new arbitrage

The original nearshore pitch was “similar quality at lower cost.” The 2026 pitch is “senior expertise in scarce specialty stacks at competitive cost.” The panel consistently converged around four areas where AI still cannot reliably deliver on its own and senior engineers make a real difference: cloud, security, data, and AI enablement.

Download the whitepaper to understand how nearshore teams are using AI in 2026.

Build an AI-ready nearshore team

Ewents helps organizations build engineering teams from Latin America. We leverage AI across cloud, security, and data to accelerate output and reduce costs.

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