GCC and India Race to Build an AI-Ready Workforce

AI is not only transforming energy and finance in the Gulf and Asia; it is also reshaping labour‑market strategies as governments and companies race to build workforces that can harness, rather than be displaced by, automation. Recent reports from India’s technology press and GCC‑focused consultancies paint a picture of strong demand for AI and cyber skills in 2026—and a looming talent bottleneck.​

Economic Times cites experts who say that global capability centres (GCCs) in India—captive hubs built by multinationals from the US, Europe, the Gulf and East Asia—plan to moderate overall hiring in 2026 while sharply increasing recruitment for AI engineering, cloud platforms and cybersecurity roles. Overall IT hiring is still expected to grow 12–15 percent, but headcount growth will be driven disproportionately by GCC demand for advanced tech skills rather than generalist roles. This aligns with India AI Impact Summit discussions, which highlighted major investment plans to build AI infrastructure, renewable‑powered data centres and expanded connectivity.​

In parallel, a “Strategic Horizon 2026” report on the GCC labour market from VBeyond notes that stable non‑oil growth and large project pipelines are anchoring workforce demand across the Gulf. Governments are pushing aggressive nationalisation policies—Emiratisation in the UAE, Saudisation in Saudi Arabia—while also needing to attract foreign experts in AI, data, engineering and project management to deliver Vision 2030‑style ambitions. This dual mandate is forcing employers to rethink training, career paths and compensation.​

Energy‑tech and clean‑energy events, from WFES in Abu Dhabi to the Energy Tech Summit in Europe, increasingly position AI as central to future energy systems. That spills directly into job descriptions: utilities and oil‑and‑gas companies in Saudi Arabia, Qatar and the UAE now recruit data scientists, AI‑ops specialists and digital‑twin engineers alongside traditional engineers and technicians. Similar patterns are visible in logistics, fintech and smart‑city programmes from Dubai and Riyadh to Singapore and Seoul.​

Leadership capabilities are under strain. Many organisations in the GCC and India are led by executives with deep experience in traditional operations but limited exposure to AI‑driven business models. Reports from Deloitte and others stress that C‑suites must become more “AI‑literate”—able to ask the right questions about data quality, model risk, ethics and ROI—without trying to micromanage technical details. Boards are also starting to include technology and cyber experts to oversee AI and digital‑transformation risk.​

For mid‑career professionals, the message is clear: upskill or risk stagnation. Hiring surveys in insurance and finance show strong demand for “T‑shaped” talent that combines a core domain—banking, insurance, engineering, media—with comfort around data, automation tools and cross‑functional collaboration. Governments and large employers in the GCC and ASEAN are rolling out AI and cyber skilling initiatives, often in partnership with cloud providers and universities, but matching the scale of demand remains challenging.​

The social implications are significant. While high‑skill roles proliferate, low‑skill and repetitive jobs in call centres, basic back‑office processing and simple field tasks face pressure from automation. Policymakers must therefore design safety nets, retraining programmes and incentives that steer displaced workers toward growth areas rather than out of the labour force. The India AI Impact Summit explicitly framed its roadmap around “resilience, innovation and efficiency,” signalling that social resilience is as important as technological progress.​

Looking into 2026 and beyond, the interplay between AI and labour markets in the GCC and Asia will be a key determinant of whether AI becomes an engine of inclusive growth or a source of new divides. Regions that can align education, immigration, nationalisation and industrial policy around realistic assessments of skill needs stand to capture the most value—turning AI from a buzzword into a broad‑based productivity story.