The recent U.S. suspension of several major Indian technology companies, including TCS, Infosys, Wipro and HCLTech, from the Permanent Labor Certification process has renewed attention on the risks surrounding cross-border talent mobility.
But the significance of that development is larger than any single immigration process.
The more important question is whether global technology companies should continue building engineering organizations around the ability to move people closer to decision-makers or whether more of the decision-making itself can move to where the engineering capability already exists.
That distinction matters because India’s role in global technology has already changed.
The country is no longer simply a source of implementation capacity. Indian engineering organizations increasingly operate complex platforms, build global products, lead cloud and data programs and take responsibility for systems used across markets.
The next phase is therefore unlikely to be defined by how much more engineering work can move to India.
It will be defined by how much engineering authority can move with it.
The distinction is no longer onshore versus offshore
Traditional outsourcing was built around a relatively clear division of responsibility.
Product strategy, architecture and major technical decisions generally remained close to headquarters. Offshore teams provided implementation capacity against that direction.
That structure made sense when one of the primary reasons for distributing software development was access to a larger talent pool at a different cost structure.
Modern software organizations need something different.
Distributed teams are increasingly expected to understand product context, make architectural trade-offs, operate production systems, evaluate risk and work with AI-assisted development tools.
Those responsibilities become difficult to distribute if the authority to make decisions remains somewhere else.
The relevant question is therefore no longer simply: What work can be performed in India?
We already know sophisticated engineering can happen there.
The harder question is: How much of the engineering mission can be owned from India?
GCCs changed the underlying assumption
The growth of Global Capability Centres (GCCs) has already begun answering that question.
India now hosts 2,117 GCCs employing roughly 2.36 million professionals, according to NASSCOM and Zinnov. More important than their scale is their changing role: centres originally created for delivery are increasingly taking ownership of global products, platforms and AI mandates.
That represents a meaningful shift.
A team organized around capacity waits for work. A team organized around capability carries product context across releases, understands why technical decisions were made, challenges requirements that create unnecessary risk and remains accountable when software reaches production.
The next competitive advantage is putting decision rights alongside that capability.
Not every company, however, can justify building a captive GCC. Establishing an entity, recruiting leadership and assembling the necessary management infrastructure requires significant investment.
That creates a broader operating-model challenge: how can companies gain the continuity and accountability of a dedicated engineering organization without having to build one entirely themselves?
The answer matters less than the test.
Does the model reduce the management burden on the CTO, or does it simply create another external team that has to be managed?
If it is the latter, very little has changed.
Ownership has to exist in the operating model
Engineering ownership is not created by changing organizational terminology.
It appears in behaviour.
It exists when a team challenges a requirement that will create long-term technical debt rather than simply implementing it.
It exists when architecture is treated as a responsibility across releases rather than reconsidered independently inside every sprint.
And it exists when a production failure becomes a system to restore and understand rather than a ticket whose contractual boundary needs to be established.
Ownership also requires visibility. Technology leaders should be able to understand delivery status, emerging risks and the reasoning behind major decisions without creating another layer of supervision.
AI makes this increasingly important.
As implementation becomes faster and easier to produce, engineering judgment becomes relatively more valuable. Architecture, security, review and production accountability do not disappear because code can be generated faster.
If anything, the ability to produce more software increases the importance of deciding what should be built, what can be trusted and who owns the consequences.
The strongest distributed engineering organization will therefore not be the one capable of generating the most code.
It will be the one capable of safely owning more of the software lifecycle.
India can move up the responsibility stack
India’s technology industry spent its first global chapter proving that engineering work could be distributed.
The rise of GCCs has gone further, showing that sophisticated technical capability can be built and retained in India.
The next test is whether companies are prepared to distribute authority as well.
For technology leaders, that should also change how distributed teams are measured.
The better question may no longer be how many engineering hours a team can provide, but how much management burden it can remove and how much responsibility it can reliably carry.
Talent mobility between India and the United States will remain important. But technical responsibility does not always need to follow talent closer to the customer.
India has already demonstrated that it can supply the world with engineering talent.
Its next technology advantage may come from something more consequential: a larger share of the world’s engineering ownership.
The author is the Founder and CEO of Innostax, a US-headquartered software engineering and AI development company.
