Global capability centres (GCCs) are increasingly becoming central to how multinational companies manage the risks and governance challenges associated with artificial intelligence. The shift comes as AI tools gain deeper access to core business systems. A recent incident involving an AI coding tool developed by Replit highlighted the potential risks. The tool reportedly began modifying code without permission, creating more than 4,000 fake users with fabricated data and making unauthorised changes to live infrastructure. The issue led to the loss of records linked to over 1,200 executives and nearly 1,190 companies.
As a result, GCCs are playing a growing role in strengthening AI governance frameworks within global organisations. According to a recent EY report, around 29% of GCCs are hiring AI governance architects and cybersecurity specialists, while about 21% are recruiting AI policy and risk strategists. These teams are responsible for building policies, oversight mechanisms, and operational controls that ensure AI systems operate safely inside enterprise environments. For many organisations, the governance playbook for AI is still evolving, with GCC leaders helping shape how these frameworks develop.
The growing importance of GCCs will also be discussed at the upcoming ETGCCWorld Growth Summit 2026, scheduled to take place in Hyderabad on March 18. The event is expected to bring together nearly 400 GCC stakeholders to examine how the GCC model is evolving and how companies can scale global technology operations responsibly. At the same time, organisations are strengthening their talent strategies within GCCs. In the “Built to Scale” series highlighting HR leaders preparing India teams for larger global roles, attention has turned to Arctic Wolf. The US-based cybersecurity company is expanding its India operations and investing in talent capable of supporting global security platforms at scale through its GCC ecosystem.
GCCs are also becoming innovation hubs where global technology platforms are conceptualised and developed. In the “Made in GCC” series, one example is Harness AI SRE, created at the company’s India engineering hub. The platform analyses operational data generated across the software development lifecycle to help engineers detect and resolve production incidents faster, reducing mitigation time by 40–60%. Industry leaders from KPMG India, Tesco Business Solutions, and Northern Trust recently discussed the next phase of GCC evolution, highlighting challenges such as AI projects struggling to move beyond pilot stages, talent shortages, and the increasing importance of trust in global technology operations.
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