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“India has a unique opportunity to position itself as a global AI talent hub. However, by 2027, the job openings in AI are expected to be 1.5–2x of the talent availability. The challenge—and opportunity—lies in reskilling and upskilling a significant portion of the existing talent base on emerging technology tools and skillsets,” said Saikat Banerjee, Partner and leader in Bain & Company’s AI, Insights, and Solutions practice in India. He further added, “The AI talent shortage is a significant challenge, but not invincible. Addressing it requires a fundamental shift in how businesses attract, develop, and retain AI talent. Companies need to move beyond traditional hiring approaches, prioritize continuous upskilling, and foster an innovation-driven ecosystem.”
Bain’s study finds nearly half (44%) of executives cite a lack of in-house AI expertise as a key barrier to implementing generative AI. This talent gap is expected to persist through at least 2027, with its impact varying in severity across global markets:
Bain’s data for advanced economies show that in the US alone, 1 in 2 AI jobs could be left unfilled by 2027. Bain projects AI job demand could reach up to more than 1.3 million in the US over the next two years, while supply is on track to hit less than 645,000—implying the need to reskill up to 700,000 US workers.
Germany could see the biggest AI talent gap, with around 70% of AI jobs unfilled by 2027. With an estimated 62,000 AI professionals available to fill 190,000 – 219,000 job openings in 2027, there is a clear opportunity for reskilling employees in Germany.
United Kingdom may see talent shortfalls of more than 50%, with just 105,000 AI workers available to fill up to 255,000 AI jobs in 2027. Australia could see a shortfall of more than 60,000 AI professionals by 2027, with just 84,000 AI specialists available to fill up to 146,000 jobs, shows the Bain data.