Whalesbook
Zoho Corporation founder Sridhar Vembu has highlighted two major challenges facing India's tech industry: a significant outflow of skilled talent and the evolving, yet not fully proven, capabilities of artificial intelligence. Zoho's R&D efforts, expanding from smaller Indian towns, are part of a strategy to foster local innovation and create new technology value, aiming to counter these broader industry trends.
India's Dual Challenge: Talent Loss and AI's Unfolding Role
Sridhar Vembu, Zoho Corporation's founder and Chief Scientist, has described India's "brain drain" as an "existential economic crisis" that weakens the rupee and creates a substantial foreign exchange deficit. This comes as the Indian IT sector faces a significant hiring slowdown, with active tech job openings in January 2026 falling 60% from their early 2022 peak. While major hubs like Bengaluru, Hyderabad, and Pune still lead IT employment, Tier-2 cities are showing faster hiring growth at 25% compared to 10% in Tier-1 locations. Zoho has embraced this trend, establishing operations in smaller towns like Tenkasi to cultivate local talent and move away from traditional talent concentration models.
Simultaneously, Vembu expressed skepticism about current artificial intelligence capabilities. He noted that despite advancements like Anthropic's Claude agents and their new "Dreaming" and "Outcomes" features, productivity gains are not always consistent, and fully functional software creation remains a challenge. This view contrasts with the broader industry trend of widespread AI adoption, with AI tools integrated across engineering workflows for coding, reviews, and analysis. Reports indicate that AI can significantly boost productivity, especially for less experienced teams, but its ability to fix systemic bottlenecks or guarantee consistent delivery performance is uneven. The cost of developing advanced AI systems is also escalating, with complex projects potentially costing billions and data preparation alone consuming substantial project time and budget.
Zoho's High-Stakes R&D Gamble
Defying the industry's rush to adopt off-the-shelf AI, Vembu has initiated an ambitious, multi-year project from Tenkasi, Tamil Nadu, aiming to make current leading AI models obsolete. Vembu calls this "the toughest fight of my professional life," emphasizing Zoho's drive for proprietary solutions. The company's extensive investment in R&D, reportedly around 60% of its revenue, sharply contrasts with the industry average of approximately 17%. Zoho's strategy, termed "transnational localism," involves setting up operations in regions with affordable housing and strong talent pools, deliberately avoiding the high costs of major metropolitan areas. This approach, along with significant capital spending on infrastructure like data centers, contributed to a rise in expenses to Rs 9,216 crore in FY25. This led to a slight dip in profit to Rs 3,191 crore, despite a revenue increase to Rs 13,544 crore.
'Transnational Localism': Developing Tech Talent in Rural India
Zoho's operational model in locations like Tenkasi exemplifies a deliberate strategy to tap into untapped talent pools outside traditional tech hubs. This "transnational localism" not only combats the brain drain issue by providing high-value opportunities in smaller towns but also leverages cost efficiencies. Hiring in Tier-2 and Tier-3 cities is becoming a strategic imperative, offering lower attrition rates and cost-effective operations compared to metros. While Indian tech firms have seen a hiring slowdown, demand for specialized skills, particularly in AI/ML, remains resilient, with India contributing 23% of global GitHub AI projects. Zoho's focus on hiring locally-trained engineers, including PhDs, and empowering them with cutting-edge R&D projects positions it to potentially build unique technological advantages while serving as a model for talent retention within India.
Industry Headwinds and AI Uncertainty Cloud Outlook
The Nifty IT index dropped to a 30-month low in February 2026, pressured by weak global demand and cautious corporate spending. While AI is expected to drive future revenue, companies like Accenture, reporting $2.2 billion in AI new bookings, show enterprise AI spending is just beginning to convert into revenue. However, the uneven impact of AI on development productivity—where gains for some teams are marginal while others see dramatic improvements, and where AI doesn't inherently fix workflow bottlenecks—introduces considerable uncertainty. The immense cost and complexity of developing sophisticated AI systems present a barrier for many companies. Zoho's bootstrapped model provides financial independence and a cash reserve of Rs 1,878 crore. However, increased R&D and infrastructure spending has put profit margins under pressure. In late 2025 and early 2026, private SaaS companies typically traded at 8-12 times annual recurring revenue, favoring profitability. Those showing significant margin declines due to R&D often saw lower valuations. Furthermore, the high cost and complexity of AI development mean that the risk of project failure or falling behind rapidly evolving frontier models is substantial.
Zoho's Strategy: Disrupting AI and Tech Models
Zoho's strategy is a calculated defiance, aiming to build its own technological future instead of being shaped by outside forces. By investing heavily in proprietary AI research from its rural locations and cultivating local talent, Zoho seeks a unique market position. This approach aims to overcome current AI limits, address the nation's brain drain by creating local jobs, and build integrated, cost-effective solutions. As the Indian IT sector adjusts to slower hiring and evolving AI, Zoho's R&D commitment and "transnational localism" model could be key differentiators, positioning the company to capture value in a landscape where AI's full impact is still unclear and talent retention is critical.