Nearshoring Is No Longer a Cost Model: Why CTOs and CIOs Are Rethinking the Value of Distributed Technology Teams

This article is available in English.

For years, the nearshoring business case was relatively simple.

Move part of your technology delivery to a nearby country. Access lower-cost talent. Keep some overlap in working hours. Reduce the cost of software development and IT operations.

That model still exists. But it is increasingly incomplete.

The technology leaders making the most strategic use of nearshoring are no longer asking:

"How much can we save per engineer?"

They are asking:

"What can we deliver faster, what capabilities can we access that we cannot build internally, and how much organisational risk can we remove?"

That is a fundamentally different question. And it changes what nearshoring should mean in 2026.

The economics of nearshoring are changing

Cost remains part of the equation. It would be unrealistic to suggest otherwise.

However, the gap between technology labour markets is changing, while the cost of technology talent is only one component of the total cost of delivery.

A project that costs less per developer but takes six months longer to launch may be considerably more expensive for the business. A cybersecurity programme delayed because the organisation cannot hire the right specialists creates risk that is difficult to capture in a procurement spreadsheet. A cloud migration held up by a shortage of experienced engineers can delay modernisation across an entire technology estate. And a product team that cannot scale quickly enough can turn a market opportunity into a missed opportunity.

This is why the nearshoring conversation is moving from rate optimisation to value optimisation.

Research involving CIOs and IT managers in large German companies supports this shift. A 2025 study found that although cost savings remain a benefit, the availability of resources has become a primary driver of IT nearshoring and offshoring, while organisations are increasingly considering geographically distributed teams for higher-value activities.

For technology leaders, that distinction matters. The real question is no longer:

"What does an engineer cost?"

It is:

"What does it cost the business when we cannot access the right engineer?"

1. Talent access is becoming more valuable than labour arbitrage

Technology organisations are competing for increasingly specialised skills.

Cloud architecture. Cybersecurity. AI and machine learning. Data engineering. DevOps. Platform engineering. Enterprise architecture. These are not capabilities that can always be built quickly through conventional recruitment.

The European Commission continues to identify shortages of advanced ICT specialists as a constraint on digital transformation. In 2025, ICT specialists represented only around 5% of employment in the EU, significantly below the EU's 2030 ambition of 10%.

That creates a strategic problem for CIOs. Your organisation may have the budget. It may have the project. It may even have executive sponsorship. But if the required skills are not available when you need them, the project still does not move.

This is where nearshoring becomes much more interesting. A mature nearshore partner is not simply providing cheaper developers — it is extending the organisation's technology talent pool. Instead of asking the local market to provide every capability internally, organisations can access specialised talent across multiple technology ecosystems. This is particularly valuable when the requirement is temporary, highly specialised or difficult to recruit permanently.

2. Nearshoring can reduce the cost of delay

CIOs are increasingly measured not only on IT efficiency but also on how effectively technology enables business strategy. That makes time a strategic metric.

Consider a company implementing a new digital product. If an internal team needs six months to hire five specialists, the project has effectively lost six months before development even begins. A nearshore team that can be assembled in weeks changes the economics of the decision.

The saving is not necessarily the difference between two hourly rates. The saving may be:

• months of development time;
• faster product launches;
• earlier revenue generation;
• reduced pressure on internal teams;
• faster remediation of technical debt;
• quicker cloud migration;
• shorter cybersecurity implementation cycles;
• faster response to regulatory or market changes.

In other words: nearshoring can be a time-to-value strategy. And for many technology organisations, time-to-value is a more meaningful KPI than cost per FTE.

3. The best nearshore teams are becoming part of the technology organisation

The old outsourcing model was transactional. You had an internal team. You had an external supplier. The supplier received specifications and delivered tickets. The relationship was largely managed through contracts, SLAs and utilisation.

That model is becoming less relevant for complex technology environments. Modern nearshoring increasingly looks like a distributed technology organisation. The external team participates in:

• product development;
• architecture discussions;
• DevOps and platform engineering;
• quality engineering;
• cybersecurity;
• cloud transformation;
• data and AI initiatives;
• technical discovery;
• application modernisation.

The distinction between "internal" and "external" becomes less important than whether the team can operate effectively as one engineering organisation. This is consistent with recent research among German technology executives, which found growing openness to geographically distributed teams taking on higher-value IT services rather than functioning purely as an execution layer.

For a CTO, that changes the question from "How do I manage my vendor?" to "How do I design the right technology organisation?" That is a much more strategic conversation.

4. Proximity is becoming a resilience advantage

Nearshoring is also increasingly relevant to technology resilience. The pandemic, geopolitical uncertainty, supply-chain disruption and growing cybersecurity risks have changed how organisations think about concentration risk.

A technology organisation that depends entirely on one location, one recruitment market or one delivery centre may have hidden vulnerabilities. Geographic diversification can provide another layer of resilience.

But proximity matters. A team operating in a compatible time zone can collaborate in real time. A European organisation working with a European nearshore team may also benefit from greater alignment around regulatory expectations, data protection and business practices. For regulated organisations, this can be particularly important.

The European Commission's Digital Decade reporting continues to highlight technological sovereignty, security and strategic dependency as important issues for Europe's digital future. Nearshoring does not automatically eliminate these risks — but a carefully designed nearshore model can become one component of a broader technology resilience strategy.

5. AI is changing the nearshoring equation again

There is another reason the traditional nearshoring model is becoming outdated: AI is changing the economics of software engineering itself.

AI-assisted development is already affecting coding, testing, documentation, research and developer productivity. That means simply comparing developer hourly rates is becoming an increasingly poor proxy for technology value.

Two teams with identical headcounts can produce very different outcomes depending on:

• engineering maturity;
• architecture;
• tooling;
• AI adoption;
• automation;
• quality practices;
• DevOps maturity;
• knowledge sharing;
• technical leadership.

What is the capability of the team, not just the number of people in it?

For CTOs, this is an important shift. The future nearshore partner will not compete only on access to engineers. It will compete on its ability to create high-performing, AI-enabled technology teams.

6. Nearshoring can help CTOs keep strategic work in-house

One of the biggest misconceptions about outsourcing is that it means outsourcing strategy. It does not have to. In fact, a well-designed nearshore model can help the CTO protect internal capacity for the work that matters most.

Internal leadership can focus on:

• technology strategy;
• product direction;
• enterprise architecture;
• innovation;
• stakeholder management;
• technology governance;
• business transformation.

The strongest models are not about replacing internal engineering teams. They are about making those teams more effective.

7. The new nearshoring scorecard

If cost is no longer the primary metric, what should CIOs and CTOs measure? A more useful nearshoring business case should include at least six dimensions.

Cost should still be measured. But it should sit alongside these factors rather than dominate the decision.

8. What should CTOs look for in a nearshore partner?

Not every nearshore provider can support this more strategic model. The provider's ability to recruit developers is only the starting point. CTOs should look for five characteristics.

1. Technical depth

Can the partner provide senior engineers, architects and specialists — not just general development capacity?

2. Domain understanding

Can its teams understand the business context behind the technology? A developer who understands banking, aviation, cybersecurity or enterprise platforms can often create considerably more value than someone who simply matches a technical skills checklist.

3. Flexible engagement models

Technology demand rarely remains constant. The right partner should support different models, from individual specialists and team augmentation to dedicated delivery teams and more strategic managed services.

4. Strong delivery governance

A distributed team requires more than good engineers. It needs clear ownership, communication, reporting, quality processes and escalation mechanisms.

5. The ability to scale

The value of a partner becomes particularly visible when priorities change. Can the partner add five specialists? Can it build an entire engineering squad? Can it provide cybersecurity expertise? Can it support a cloud transformation? Can it do this without forcing the organisation to redesign its operating model every time?

9. Why Poland and Europe remain strategically relevant

For organisations operating in Europe, nearshoring within the European ecosystem can offer an attractive combination of proximity, technical talent and cultural alignment. Poland is a particularly important technology market in this context.

The European Commission's 2025 country report for Poland identifies the shortage of ICT specialists as a factor affecting enterprise digitalisation, advanced technology adoption and cybersecurity — while recommending further investment in ICT talent acquisition and retention. That shortage is itself evidence of demand.

But Poland's value to technology organisations goes beyond labour cost. Its mature technology ecosystem provides access to experienced engineering talent across software development, cloud, data, cybersecurity and enterprise technology. For Western European organisations, the combination of geographic proximity, overlapping working hours and access to a large technology talent market can make Poland a strategic extension of the internal engineering organisation.

10. What nearshoring looks like at Cyclad

At Cyclad, we see nearshoring less as a procurement decision and more as a technology operating model. Our approach is built around connecting organisations with the technology expertise they need while adapting the delivery model to the complexity of the business.

That can mean augmenting an existing engineering organisation with specialised experts. It can mean building a dedicated team around a product or transformation initiative. Or it can mean providing access to specialists in areas such as software development, cloud, infrastructure and cybersecurity.

The important part is not the number of people placed. It is whether the model solves the technology problem.

Cyclad operates across European and international markets, with teams and offices including Poland, France and Morocco, giving clients access to different talent ecosystems while maintaining a strong focus on collaboration and delivery. This is particularly relevant when organisations need to scale quickly without compromising technical quality.

The strategic shift: from cheaper capacity to better capability

Nearshoring is not dead. The old definition of nearshoring is.

The model based primarily on labour arbitrage is becoming less compelling as technology talent becomes more specialised and the cost gap between markets evolves. The new model is about something much more valuable: capability arbitrage.

• Access expertise you cannot hire quickly enough.
• Build teams faster than your internal recruitment process allows.
• Add specialist capabilities without permanently increasing organisational complexity.
• Increase engineering capacity when transformation demands it.
• Create greater resilience across your technology organisation.
• Move business initiatives from strategy to execution faster.

For CIOs and CTOs, that is the real opportunity. The question is no longer "How much cheaper is nearshoring?" It is:

"What could our technology organisation achieve if access to the right talent was no longer the bottleneck?"

That is the question that makes nearshoring strategic.

A practical starting point for CTOs and CIOs

Before choosing a nearshore partner, ask three questions:

1. Where is our technology organisation currently constrained?

Is it talent, capacity, expertise, speed, technical debt or delivery risk?

2. Which capabilities do we need temporarily — and which do we need permanently?

Not every skill needs to become an internal headcount.

3. What business outcome will additional technology capacity unlock?

A successful nearshore programme should ultimately be measured by the outcome it enables — not simply the number of people it provides.

Because the future of nearshoring is not about finding cheaper engineers. It is about building a technology organisation that can move faster, adapt sooner and access the expertise it needs when it needs it.