Zoho Freezes Pay as AI Costs Surge Fourfold

Zoho founder Sridhar Vembu disclosed on X that the Chennai-based software firm is freezing annual pay increases and cutting marketing spend, citing a fourfold rise in server prices for AI data centres and sharply higher AI-related operating costs. Zoho has held headcount flat for 18 months to avoid mass layoffs. FY25 revenue rose 17.8% to Rs 12,313 crore, but net profit fell 3.3% to Rs 3,191 crore as total costs jumped 30.5%. Vembu also said customers are replacing Zoho products with cheaper AI-built alternatives, calling the global software employment outlook grim. The move signals that even profitable, privately held Indian software firms are absorbing AI-driven cost inflation rather than passing it on through hiring or pay. Key signal: Zoho has suspended annual salary increases and cut marketing spend after server prices for AI data centres rose fourfold, with FY25 total costs up 30.5% to Rs 9,216 crore against 17.8% revenue growth. For hiring leaders, this matters because this is the first clear Indian signal that AI infrastructure costs are now hitting compensation budgets, not just capex lines. For CHROs and TA heads, the implication is uncomfortable: a profitable, debt-free, founder-led firm just told employees that automatic annual raises are over. If Zoho — which built its brand on no-layoff stability — is freezing pay, expect mid-tier Indian product and services firms to follow with flatter increments, tighter variable pay and slower backfill hiring. It also reframes the AI narrative: AI is not only changing which skills you hire, it is inflating the cost base that funds those hires. Compensation benchmarking for FY27 needs to assume flatter merit budgets even where AI-skill premiums persist. Teksands view: A profitable, no-layoff Indian software firm just froze pay because of AI infrastructure costs. That is a bigger signal than any layoff headline. If Zoho's cost base is being inflated by AI servers while AI-built rivals undercut its products, mid-tier Indian software firms face the same squeeze — flatter increments, slower backfills, tighter variable pay. For TA leaders, the upside is a coming release of strong mid-level engineers into the market just as GCCs and AI-first product firms are hiring. Benchmark FY27 merit budgets conservatively, but keep AI-specialist premiums ring-fenced. The pay gap between AI talent and generalist engineers is about to widen, not narrow.