AI Capex Bubble Risks: Hiring Slowdown Signal for India Tech

A 360 ONE Asset report warns that the global AI boom is showing vulnerability due to concentrated adoption, debt-funded infrastructure spending, and cheaper Chinese models. While layoffs haven't diverged, AI-exposed sectors like information and professional services are seeing sharper declines in job openings, indicating cautious hiring as automation takes hold. India is relatively insulated due to diversified markets, but a global AI capex pullback could slow its data-center buildout. The report highlights risks of circular financing and semiconductor valuation bubbles, with potential contagion to credit markets. Key signal: AI-exposed sectors in the US show sharper declines in job openings than the broader market, with only 22% of US firms using AI by July 2026. For hiring leaders, this matters because for Indian tech hiring leaders, this signals a potential slowdown in AI-driven demand. If global AI investment unwinds, GCCs and IT services firms may see reduced client spending on AI projects, impacting hiring plans. The report's finding that AI adoption is concentrated in large firms suggests that Indian companies should focus on upskilling existing talent rather than aggressive lateral hiring. Also, the shift to cheaper open-weight models could reduce demand for specialized AI skills, making it crucial to balance investment in cutting-edge AI with cost-effective solutions. Teksands view: Don't bet the farm on AI hype. The report's data on hiring caution in AI-exposed sectors is a wake-up call. Indian firms should diversify their talent strategies, not just chase GenAI skills. The circular financing and debt concerns could lead to a correction, so hiring leaders should stress-test their AI hiring plans. Focus on building adaptable engineers who can work with both frontier and open-weight models, and watch global AI capex trends as a leading indicator.