The Top Skills GCCs Are Hiring for in 2026, According to 150+ Business Leaders
June 26, 2026
June 26, 2026
Holly Hunt
Global Capability Centers (GCCs) are hiring aggressively for AI talent, but technical expertise alone won't determine which organizations succeed over the next several years. As GCCs evolve into innovation hubs responsible for product development, AI transformation, and enterprise strategy, hiring priorities are becoming more complex. Organizations need specialized technical skills, but they also need leaders who can turn those capabilities into measurable business outcomes.
The latest GCC Talentscope India 2026 Report from Ceipal and People Matters reveals where GCC leaders are focusing their hiring efforts as they prepare for the next phase of growth. While AI-related skills dominate hiring plans, the research also uncovers an important gap between the capabilities organizations are prioritizing today and the broader skills they will need to achieve their long-term strategic goals.
The report is based on responses from more than 150 CEOs, CHROs, talent acquisition leaders, GCC site heads, and HR executives across industries including IT, financial services, manufacturing, healthcare, consulting, and e-commerce. Together, the findings provide a snapshot of how India's GCC ecosystem is preparing its workforce for an increasingly AI-driven future.
By the Numbers
The research highlights several important trends shaping hiring priorities for GCCs in 2026.
- 66% rank Generative AI and prompt engineering among their highest hiring priorities.
- 58% are prioritizing data science and advanced analytics talent.
- 50% plan to hire AI/ML engineering professionals.
- 47% cite cybersecurity and digital risk as key hiring areas.
- 40% are investing in cloud architecture and platform engineering skills.
- Only 26% prioritize program and transformation leadership.
- Just 22% identify product management and product design as top hiring priorities.
- 22% prioritize industry-specific domain expertise.
These findings suggest that while GCCs clearly understand the importance of AI capabilities, many may be underinvesting in the leadership and business skills needed to turn those technical investments into lasting competitive advantage.
AI Skills Dominate Hiring Priorities
Perhaps the least surprising finding in the report is the continued demand for AI talent. Generative AI and prompt engineering top the list of hiring priorities, followed closely by data science, advanced analytics, and AI/ML engineering. Together, these capabilities form the technical foundation of many GCCs' AI transformation initiatives.
The emphasis on AI reflects broader business priorities identified elsewhere in the research. Nearly six in 10 organizations say AI-first transformation is one of their top strategic objectives over the next 12 to 18 months, while an equal percentage are focused on improving productivity and process excellence. To achieve those goals, organizations need professionals who can build AI systems, analyze complex data, and modernize enterprise technology.
Cloud architecture and cybersecurity also remain essential hiring priorities. As organizations deploy more AI-enabled applications and expand digital operations, secure cloud infrastructure and strong cyber resilience become increasingly important to supporting long-term growth.
Technical Expertise Is Only Part of the Equation
While AI skills dominate hiring plans, one of the report's most valuable insights lies in what organizations are not prioritizing.
Only 26% of respondents identified program and transformation leadership as a top hiring focus. Product management, product design, and industry-specific domain expertise ranked even lower, each cited by just 22% of organizations. These capabilities may not generate the same headlines as Generative AI, but they often determine whether technology initiatives succeed or stall.
Technology alone rarely transforms an organization. AI engineers can build sophisticated models, but someone must define business requirements, lead organizational change, coordinate cross-functional teams, and ensure new capabilities solve meaningful business problems. Without those complementary skills, organizations risk implementing advanced technology without realizing its full business value.
This finding reinforces one of the report's central themes: successful GCCs will build balanced capability portfolios rather than focusing exclusively on technical specialization.
Why Hyper-Integrated Skills Matter
The report introduces an important distinction between hyper-specialized skills and hyper-integrated skills.
Hyper-specialized skills include technical expertise such as Generative AI, machine learning, cybersecurity, and cloud engineering. These capabilities are essential for developing and deploying new technologies.
Hyper-integrated skills connect those technologies to business outcomes. Program leaders align stakeholders around transformation initiatives. Product managers ensure technical investments solve customer and business challenges. Domain experts provide the industry knowledge needed to apply AI effectively within sectors such as financial services, manufacturing, or healthcare.
Organizations that invest only in technical capabilities may build impressive engineering teams without developing the leadership structure needed to scale innovation across the business. The most successful GCCs will combine deep technical expertise with strong product thinking, transformation leadership, and business knowledge.
Skills-Based Hiring Will Continue to Grow
As demand for specialized talent increases, many organizations are rethinking how they identify qualified candidates. Traditional hiring methods often rely heavily on previous job titles, years of experience, or educational credentials. Skills-based hiring takes a different approach by evaluating candidates based on demonstrated capabilities rather than career history alone.
This shift can significantly expand available talent pools. A candidate with strong cloud engineering experience, for example, may be well positioned to transition into AI infrastructure even without holding a traditional AI title. Likewise, professionals with product management or transformation experience in adjacent industries may bring valuable perspectives to emerging GCC roles.
Skills-based hiring also supports internal mobility by helping organizations identify employees who can develop into future leadership or technical positions. Rather than searching exclusively for external talent, GCCs can strengthen long-term workforce resilience by investing in upskilling and career development.
The Skills Race Is Also a Business Strategy
Hiring priorities should ultimately reflect business priorities.
The research shows that GCC leaders are focused on AI transformation, productivity improvement, and expanding ownership of end-to-end business capabilities. Those objectives require more than technical specialists. They require organizations that can combine AI expertise with business leadership, operational excellence, and cross-functional collaboration.
The skills organizations hire today will influence how successfully they execute tomorrow's transformation initiatives. Building balanced teams with complementary capabilities is likely to become an increasingly important competitive advantage as AI adoption accelerates across industries.
What Talent Leaders Should Do Next
The findings suggest several practical steps for HR and talent acquisition leaders planning for 2026.
First, evaluate whether current hiring strategies reflect long-term business priorities rather than short-term technical demand. AI talent remains essential, but transformation also requires product leaders, program managers, and industry experts who can translate technology into business results.
Second, expand skills-based hiring practices wherever possible. Focusing on demonstrated capabilities instead of traditional credentials can help organizations access broader talent pools while improving workforce agility.
Finally, align hiring strategies with workforce planning and internal development initiatives. Upskilling existing employees, building leadership pipelines, and identifying transferable skills can reduce dependence on increasingly competitive external hiring markets.
As the GCC landscape becomes more competitive, what is the biggest risk for falling behind? Find out in this blog post, showcasing other findings from this report.
Frequently Asked Questions
What skills are GCCs hiring for in 2026?
According to the GCC Talentscope India 2026 Report, the highest-demand skills include Generative AI and prompt engineering, data science, AI/ML engineering, cybersecurity, cloud architecture, program leadership, product management, and industry-specific domain expertise.
Why is Generative AI the top hiring priority?
Organizations are rapidly integrating AI into products, operations, and enterprise workflows. Hiring professionals with expertise in Generative AI and prompt engineering enables GCCs to support AI-first business strategies while improving productivity and innovation.
What are hyper-integrated skills?
Hyper-integrated skills combine technical expertise with business leadership. They include capabilities such as program and transformation leadership, product management, and domain expertise that help organizations successfully implement and scale technology initiatives.
Why is skills-based hiring becoming more important?
Skills-based hiring helps organizations evaluate candidates based on demonstrated capabilities rather than previous job titles or educational backgrounds. This approach expands talent pools, supports internal mobility, and helps employers identify candidates with transferable skills.
How can GCCs prepare for future skill demands?
Organizations can strengthen workforce planning by combining AI-enabled recruiting, skills intelligence, internal upskilling programs, and proactive talent pipeline development. Building balanced teams with both technical and business capabilities will be critical as AI adoption continues to accelerate.
About the Research
The GCC Talentscope India 2026 Report: State of Talent Acquisition in GCCs is based on research conducted by Ceipal and People Matters, including responses from more than 150 CEOs, CHROs, GCC site heads, talent acquisition leaders, and HR executives across India's Global Capability Center ecosystem. The research examines the hiring trends, workforce challenges, technology investments, and strategic priorities shaping talent acquisition in 2026.
Download the Full Report
The skills GCCs prioritize today will shape their ability to innovate tomorrow. Understanding where the market is investing, and where capability gaps remain, can help organizations make more informed hiring decisions and build stronger talent strategies for the future.
Download the full GCC Talentscope India 2026 Report to explore the complete findings, benchmarks, and recommendations from Ceipal and People Matters.
